{"id":664,"date":"2021-12-15T12:10:48","date_gmt":"2021-12-15T12:10:48","guid":{"rendered":"http:\/\/www.vform-xsteels.eu\/?page_id=664"},"modified":"2024-11-25T18:04:43","modified_gmt":"2024-11-25T18:04:43","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.vform-xsteels.eu\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"664\" class=\"elementor elementor-664\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-97690a7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"97690a7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-12472ac\" data-id=\"12472ac\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-670921c elementor-widget elementor-widget-text-editor\" data-id=\"670921c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h1 style=\"text-align: left;\">Benchmark Datasets<\/h1><ul><li>Henriques, J. D. F., Conde, M., Gon\u00e7alves, M., &amp; Andrade-Campos, A. (2024). vForm-xSteels Internal Benchmark Experimental Dataset (UAveiro) [Data set]. Zenodo. <a href=\"https:\/\/doi.org\/10.5281\/zenodo.10563046\">https:\/\/doi.org\/10.5281\/zenodo.10563046<\/a><\/li><\/ul><ul><li>Rossi, M., &amp; Pillon, M. (2024). vForm-xSteels Internal Benchmark Experimental Dataset (UnivPM) [Data set]. Zenodo. <a href=\"https:\/\/doi.org\/10.5281\/zenodo.10563113\">https:\/\/doi.org\/10.5281\/zenodo.10563113<\/a><\/li><\/ul><ul><li>Coppieters, S., &amp; Zhang, Y. (2024). vForm-xSteels Internal Benchmark Experimental Dataset (KU Leuven) [Data set]. Zenodo. <a href=\"https:\/\/doi.org\/10.5281\/zenodo.10563072\">https:\/\/doi.org\/10.5281\/zenodo.10563072<\/a><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5858ae8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5858ae8\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f7aa6ca\" data-id=\"f7aa6ca\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7bc403a elementor-widget elementor-widget-text-editor\" data-id=\"7bc403a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h1 style=\"text-align: left;\">2024<\/h1>\n<ul>\n<li>Ma\u010dek, A., Starman, B., Coppieters, S., Urevc, J., &amp; Halilovi\u010d, M. (2024).&nbsp;<a href=\"https:\/\/zenodo.org\/records\/10635398\">Confidence intervals of inversely identified material model parameters: A novel two-stage error propagation model based on stereo DIC system uncertainty.<\/a>&nbsp;Optics and Lasers in Engineering, 174, 107958.&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.optlaseng.2023.107958\">https:\/\/doi.org\/10.1016\/j.optlaseng.2023.107958<\/a><\/li>\n<\/ul>\n<ul>\n<li>R\u00faben Louren\u00e7o, Petia Georgieva, Cueto, E., &amp; A. Andrade-Campos. (2024).&nbsp;<a href=\"https:\/\/zenodo.org\/records\/10912649\" target=\"_blank\">An indirect training approach for implicit constitutive modelling using recurrent neural networks and the virtual fields method.&nbsp;<\/a>Computer Methods in Applied Mechanics and Engineering, 425, 116961\u2013116961.&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.cma.2024.116961\">https:\/\/doi.org\/10.1016\/j.cma.2024.116961<\/a><\/li>\n<\/ul>\n<ul>\n<li>Gon\u00e7alves, M., Guegan, B., Thuillier, S., &amp; Andrade-Campos, A. (2024). <a href=\"https:\/\/zenodo.org\/records\/13648731\">Experimental investigation of heterogeneous mechanical tests. Materials Research Proceedings<\/a>, 41, 1742\u20131751. <a href=\"https:\/\/doi.org\/10.21741\/9781644903131-193\">https:\/\/doi.org\/10.21741\/9781644903131-193<\/a><\/li>\n<\/ul>\n<ul>\n<li>Halilovi\u010d, M., Starman, B., &amp; Coppieters, S. (2024). <a href=\"https:\/\/zenodo.org\/records\/13685034\">From strain to stress using full-field data: Computationally efficient stress reconstruction.<\/a> Materials Research Proceedings, 41, 1089\u20131098. <a href=\"https:\/\/doi.org\/10.21741\/9781644903131-120\">https:\/\/doi.org\/10.21741\/9781644903131-120<\/a><\/li>\n<\/ul>\n<ul>\n<li>Starman, B., Zhang, Y., Lava, P., Halilovi\u010d, M., &amp; Coppieters, S. (2024). <a href=\"https:\/\/zenodo.org\/records\/13685159\">Identifiability analysis of material identification using nonlinear VFM.<\/a> Materials Research Proceedings, 41, 1761\u20131768. <a href=\"https:\/\/doi.org\/10.21741\/9781644903131-195\">https:\/\/doi.org\/10.21741\/9781644903131-195<\/a><\/li>\n<\/ul>\n<ul>\n<li>Prates, P., Pinto, J., Marques, J., Henriques, J., Pereira, A., &amp; Andrade-Campos, A. (2024). <a href=\"https:\/\/zenodo.org\/records\/13685299\">Influence of data filtering and noise on the calibration of constitutive models using machine learning techniques.<\/a> Materials Research Proceedings, 41, 1807\u20131816. <a href=\"https:\/\/doi.org\/10.21741\/9781644903131-200\">https:\/\/doi.org\/10.21741\/9781644903131-200<\/a><\/li>\n<\/ul>\n<ul>\n<li>Coppieters, S., Lambrughi, A., Vancraeynest, N., Zhang, Y., Cooreman, S., &amp; Starman, B. (2024). <a href=\"https:\/\/zenodo.org\/records\/13685368\">Plasticity experiments on heavy gauge S700 steel. Materials Research Proceedings<\/a>, 41, 1135\u20131143. <a href=\"https:\/\/doi.org\/10.21741\/9781644903131-125\">https:\/\/doi.org\/10.21741\/9781644903131-125<\/a><\/li>\n<\/ul>\n<ul>\n<li>Andrade-Campos, A., Campos, A., Henriques, J., Filho, L., T\u00falio, M., Conde, M., Gon\u00e7alves, M., Prates, P., &amp; Louren\u00e7o, R. (2024). <a href=\"https:\/\/zenodo.org\/records\/13685414\">VForm-xSteels: virtual materials database.<\/a> Materials Research Proceedings, 41, 1789\u20131798. <a href=\"https:\/\/doi.org\/10.21741\/9781644903131-198\">https:\/\/doi.org\/10.21741\/9781644903131-198<\/a><\/li>\n<\/ul>\n<ul>\n<li>Armando E. Marques, Tom\u00e1s G. Parreira, Andr\u00e9 F.G. Pereira, Bernardete M. Ribeiro, Pedro A. Prates. Machine learning applications in sheet metal constitutive Modelling: A review. International Journal of Solids and Structures, 303, 113024\u2013113024. doi:&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.ijsolstr.2024.113024\" target=\"_blank\">10.1016\/j.ijsolstr.2024.113024<\/a>, 2024 (green open access), repository link: <a href=\"https:\/\/zenodo.org\/records\/13832921\">https:\/\/zenodo.org\/records\/13832921<\/a><\/li>\n<\/ul>\n<div>\n<ul>\n<li>Kristof Denys, Niels Vancraeynest, Steven Cooreman, Marco Rossi, Sam Coppieters. Through-thickness work hardening variation in thick high strength steel plates: a novel inverse characterization method (2024). Strojni\u0161ki Vestnik &#8211; Journal of Mechanical Engineering. 70 (9-10), 417-425. doi: <a href=\"https:\/\/doi.org\/10.5545\/sv-jme.2024.1037\">doi.org\/10.5545\/sv-jme.2024.1037<\/a>, repository link: <a href=\"https:\/\/zenodo.org\/records\/13830273\">https:\/\/zenodo.org\/records\/13830273&nbsp;<\/a><\/li>\n<\/ul>\n<ul>\n<li>Bin Chen, Bojan Starman, Miroslav Halilovi\u010d, Lars A. Berglund &amp; Sam Coppieters (2024). Finite Element Model Updating for Material Model Calibration: A Review and Guide to Practice. Archives of Computational Methods in Engineering. doi: <a href=\"https:\/\/doi.org\/10.1007\/s11831-024-10200-9\">10.1007\/s11831-024-10200-9<\/a>, repository link: <a href=\"https:\/\/zenodo.org\/records\/14217553\">https:\/\/zenodo.org\/records\/14217553<\/a><\/li>\n<\/ul>\n<div><br><\/div><\/div>\n<div>\n<\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-30b7106 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"30b7106\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a8b2864\" data-id=\"a8b2864\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4c82d5a elementor-widget elementor-widget-text-editor\" data-id=\"4c82d5a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h1 style=\"text-align: left;\">2023<\/h1>\n<ul>\n<li>M. Conde, Y. Zhang, J. Henriques, S. Coppieters, A. Andrade-Campos, <a href=\"https:\/\/zenodo.org\/records\/10635279\">Design and validation of a heterogeneous interior notched specimen for inverse material parameter identification<\/a>, Finite Elements in Analysis and Design 214 (2023) 103866. <a href=\"https:\/\/doi.org\/10.1016\/j.finel.2022.103866\">https:\/\/doi.org\/10.1016\/j.finel.2022.103866<\/a><\/li>\n<\/ul>\n<ul>\n<li style=\"text-align: left;\">N. Vancraeynest, S. Cooreman and S. Coppieters, <a href=\"https:\/\/doi.org\/10.21741\/9781644902479-127\">Identification of the large strain flow curve of high strength steel via the torsion test and FEMU<\/a>, Material Forming &#8211; ESAFORM 2023.<\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">M. Gon\u00e7alves, S. Thuillier, A. Andrade-Campos, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/YIC_2023_Goncalves_et_al.pdf\">The influence of symmetry boundary conditions in the design of heterogeneous mechanical tests using topology optimization<\/a><span style=\"font-size: 1rem;\">, VII ECCOMAS Young Investigators Conference, YIC2023, Porto, Portugal.<\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">R. Louren\u00e7o, E. Cueto, P. Georgieva, A. Andrade-Campos, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/CSSM10_rmbl_YIC2023.pdf\">On the constraints and consistency in implicit elastoplastic <\/a>constitutive modelling using ANNs and indirect training, VII ECCOMAS Young Investigators Conference, YIC2023, Porto, Portugal.<\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">M. Gon\u00e7alves, M. Oliveira, S. Thuillier, A. Andrade-Campos, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/TEchMA2023_MGoncalves.pdf\">Selecting a heterogeneous mechanical test for sheet metal characterization,<\/a><span style=\"font-size: 1rem;\"> TEchMA 2023\u2013 6<\/span>th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.<\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">M. Gon\u00e7alves, M. Oliveira, S. Thuillier, A. Andrade-Campos, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/ESAFORM2023_Goncalves_et_al.pdf\">On the comparison of heterogeneous mechanical tests for sheet metal characterization<\/a><span style=\"font-size: 1rem;\">, ESAFORM 2023, Krakow, Poland.<\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">J. Henriques, A. Andrade-Campos, J. Xavier, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/YIC2023_abstract_JHenriques.pdf\">On the inverse calibration of sheet metal anisotropic plasticity constitutive models using the Arcan teste and full-field measurements<\/a><span style=\"font-size: 1rem;\">, VII ECCOMAS Young Investigators Conference, YIC 2023, Porto, Portugal.<\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">J. Henriques, A. Andrade-Campos, J. Xavier,<\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/TEchMA2023_abstract_JHenriques.pdf\"> On the identifiability of sheet metal constitutive parameters using the Arcan test<\/a><span style=\"font-size: 1rem;\">, TEchMA 2023\u2013 6<\/span>th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.<\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">M. Conde, S. Coppieters, A. Andrade-Campos, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/Conde_2023_ESAFORM_Process-informed_material_model_selection.pdf\">Process-informed material model selection<\/a><span style=\"font-size: 1rem;\">, ESAFORM 2023,&nbsp;<a href=\"https:\/\/doi.org\/10.21741\/9781644902479-148\" target=\"_blank\">https:\/\/doi.org\/10.21741\/9781644902479-148<\/a>.<\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">M. Conde, S. Coppieters, A. Andrade-Campos, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/Conde_YIC2023_Model_selection_Identifiability.pdf\">Constitutive model selection for sheet metal forming based on the analysis of identifiability of the material parameters<\/a><span style=\"font-size: 1rem;\">, VII ECCOMAS Young Investigators Conference, YIC2023, Porto, Portugal.<\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">M. Conde, S. Coppieters, A. Andrade-Campos, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/TEchMA2023_abstract_2col-EN-2-Conde.pdf\">Process-informed constitutive model selection,<\/a><span style=\"font-size: 1rem;\"> TEchMA 2023\u2013 6<\/span>th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.<\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">R. Louren\u00e7o, E. Cueto, P. Georgieva, A. Andrade-Campos, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/esaform_2023_article.pdf\">On the constraints and consistency in the implicit constitutive modelling using ANNs and indirect training<\/a><span style=\"font-size: 1rem;\">, ESAFORM 2023,&nbsp;<a href=\"https:\/\/doi.org\/10.21741\/9781644902479-125\" target=\"_blank\">https:\/\/doi.org\/10.21741\/9781644902479-125<\/a>.<\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">P. Prates, J. Henriques, J. Pinto, N. Bastos, A. Andrade-Campos, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/130.pdf\">Coupling machine learning and synthetic image DIC-based techniques for the calibration of elastoplastic constitutive models<\/a><span style=\"font-size: 1rem;\">,&nbsp; ESAFORM 2023,&nbsp;<\/span><a href=\"https:\/\/doi.org\/10.21741\/9781644902479-130\" target=\"_blank\">https:\/\/doi.org\/10.21741\/9781644902479-130<\/a><\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, A. Andrade-Campos, J. Xavier, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/ESAFORM2023_Abstract_JHenriques.pdf\">On the inverse identification of sheet metal constitutive parameters using a virtual experiment and the Arcan test<\/a>, ESAFORM 2023, 26th International Conference on Material Forming Krakow, Poland.<\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, A. Andrade-Campos, J. Xavier, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/ESAFORM2023_paper_JHenriques-1.pdf\">On the inverse identification of sheet metal mechanical behaviour using a heterogeneous Arcan virtual experiment<\/a>, ESAFORM 2023,&nbsp;<a href=\"https:\/\/doi.org\/10.21741\/9781644902479-124\" target=\"_blank\">https:\/\/doi.org\/10.21741\/9781644902479-124<\/a><\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, A. Andrade-Campos, J. Xavier, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/ICSI2023_abstract_2023.pdf\">On the identifiability of sheet metal anisotropic plasticity constitutive parameters using the Arcan test and full-field measurements,<\/a> International Conference on Structural Integrity 2023.<\/li>\n<\/ul>\n<ul>\n<li>Morichelli, L., Chiappini, G., Lattanzi, A., Santecchia, E., &amp; Rossi, M. (2023). <a href=\"https:\/\/zenodo.org\/records\/10634829\">Combined effect of process variables on the plastic behaviour of 316L stainless steel printed by L-PBF<\/a>. Strain, e12438. <a href=\"https:\/\/doi.org\/10.1111\/str.12438\">https:\/\/doi.org\/10.1111\/str.12438<\/a><\/li>\n<\/ul>\n<div>\n<ul>\n<li>Rossi, M., Lattanzi, A., &amp; Amodio, D. (2023).&nbsp;<a href=\"https:\/\/zenodo.org\/records\/11454871\" target=\"_blank\">A hybrid VFM-FEMU approach to calibrate 3D anisotropic plasticity models for sheet metal forming.<\/a>&nbsp;Materials Research Proceedings, 28, 1203\u20131210.&nbsp;<a href=\"https:\/\/doi.org\/10.21741\/9781644902479-131\" target=\"_blank\">https:\/\/doi.org\/10.21741\/9781644902479-131<\/a><br><\/li>\n<\/ul>\n<\/div>\n<div><br><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5d5425e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5d5425e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f73aee2\" data-id=\"f73aee2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a8794a0 elementor-widget elementor-widget-text-editor\" data-id=\"a8794a0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h1 style=\"text-align: left;\">2022<\/h1>\n<ul>\n<li>Y. Zhang, A. Van Bael, A. Andrade-Campos, S. Coppieters, <a href=\"https:\/\/doi.org\/10.1016\/j.ijsolstr.2022.111543\">Parameter identifiability analysis: Mitigating the non-uniqueness issue in the inverse identification of an anisotropic yield function<\/a>, International Journal of Solids and Structures, https:\/\/doi.org\/10.1016\/j.ijsolstr.2022.111543<\/li>\n<\/ul>\n<ul>\n<li>S. Coppieters, H. <span>Traph\u00f6ner<\/span>, F. Stiebert, T. Balan, T. Kuwabara, A.E. Tekkaya, <a href=\"https:\/\/zenodo.org\/records\/10701041\">Large strain flow curve identification for sheet meta<\/a>l, Journal of Materials Processing Tech,&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.jmatprotec.2022.117725\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.jmatprotec.2022.117725<\/a><\/li>\n<\/ul>\n<ul>\n<li>S. Coppieters, Y. Zhang, N. Vancraeynest, A. Lambrughi and S. Cooreman, <a href=\"https:\/\/zenodo.org\/records\/10641754\">Inverse identification of a 3D anisotropic yield function through an information-rich tensile test and multi-sDIC<\/a>,&nbsp;Lecture Notes in Mechanical Engineering, 689\u2013699.&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/978-3-031-42093-1_66\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-42093-1_66<\/a><\/li>\n<\/ul>\n<ul>\n<li>Y. Zhang, A. andrade-Campos, S. Coppieters, <a href=\"https:\/\/zenodo.org\/records\/10651263\">Identification of Anisotropic Yield Functions Using FEMU and an Information-Rich Tensile Specimen,<\/a> Key Engineering Materials,&nbsp; doi: 10.4028\/p-m5q583<\/li>\n<\/ul>\n<ul>\n<li>Rossi, M., Lattanzi, A., Morichelli, L., Martins, J. M. P., Thuillier, S., Andrade-Campos, A., &amp; Coppieters, S. (2022). <a href=\"https:\/\/zenodo.org\/records\/10634648\">Testing methodologies for the calibration of advanced plasticity models for sheet metals: A review.<\/a> Strain, 58(6). <a href=\"https:\/\/doi.org\/10.1111\/str.12426\">https:\/\/doi.org\/10.1111\/str.12426<\/a><\/li>\n<\/ul>\n<ul>\n<li>A. Andrade-Campos, S. Coppieters, M. Strano, <a href=\"https:\/\/zenodo.org\/records\/10651543\">Optimization and inverse analysis in metal forming: scientific state-of-the-art and recent trends<\/a>, International Journal of Material Forming, <a href=\"https:\/\/doi.org\/10.1007\/s12289-022-01690-8\">https:\/\/doi.org\/10.1007\/s12289-022-01690-8<\/a><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">A. Andrade-Campos, J. Henriques, J. Martins, L. Rumor, M. Conde, M. Oliveira, M. Gon\u00e7alves, N. Bastos, P. Prates, R. Louren\u00e7o, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/CMN2022_abstract_Gilac_JHenriques.pdf\">Comparison of full-field inverse identification methods for metal plasticity<\/a><span style=\"font-size: 1rem;\">, Congress on Numerical Methods in Engineering 2022, Las Palmas de Gran Canaria, Espa\u00f1a.<\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">R. Louren\u00e7o, A. Andrade-Campos, P. Georgieva, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/esaform_2022_article.pdf\">The Virtual Fields Method to Indirectly Train Artificial Neural Networks <\/a>for Implicit Constitutive Modelling, ESAFORM 2022, Key Engineering Materials, doi:10.4028\/p-gy2di7, Braga, Portugal.<\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-size: 1rem;\">R. Louren\u00e7o, A. Andrade-Campos, P. Georgieva, <\/span><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/poster_ec2022_vfm_v2.pdf\">Coupling the virtual fields method with ANNs for implicit constitutive modelling<\/a><span style=\"font-size: 1rem;\">, Encontro Ci\u00eancia 2022.<\/span><\/li>\n<\/ul>\n<ul>\n<li>M. Gon\u00e7alves, S. Thuillier, A. Andrade-Campos, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/TEchMA2022_Goncalves_et_al.pdf\">A nonlinear topology-based optimization approach for the design of a heterogeneous mechanical test<\/a>, TEchMA 2022\u2013 5th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.<\/li>\n<\/ul>\n<ul>\n<li>M. Gon\u00e7alves, A. Andrade-Campos, S. Thuiller, <a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/ESAFORM2022_Goncalves_et_al.pdf\">On the design of a heterogeneous mechanical test using a nonlinear topology optimization approach<\/a><span style=\"font-size: 1rem;\">, Key Engineering Materials, Trans Tech Publication Ltd, Switzerland, doi:10.4028\/p-6rou28, ESAFORM 2022.<\/span><\/li>\n<\/ul>\n<ul>\n<li>M. Gon\u00e7alves, A. Andrade-Campos, S. Thuillier, <a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/IDDRG2022_Goncalves_et_al.pdf\">On the topology design of a mechanical heterogeneous specimen using geometric and material nonlinearities<\/a><span style=\"font-size: 1rem;\">, IDDRG 2022,&nbsp;<\/span>doi:10.1088\/1757-899X\/1238\/1\/012055&nbsp;<\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, J. Xavier, A. Andrade-Campos, <a href=\"https:\/\/zenodo.org\/records\/10669833\">On the inverse identification of wood elastic properties using a DIC-based FEMU approach<\/a>, International Journal of Structural Integrity, Emerald Publishing Ltd, 1757-9864, doi:10.1108\/IJSI-04-2022-0063.<\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, M. Conde, A. Andrade-Campos, J. Xavier, <a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/ESAFORM2022_Abstract_2022.pdf\">Identification of Swift law and Yld2000-2d parameters using FEMU by a <\/a><a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/ESAFORM2022_Abstract_2022.pdf\">synthetic image approach based on digital image correlation<\/a><span style=\"font-size: 1rem;\">, ESAFORM 2022 &#8211; 25th International Conference on Material Forming.<\/span><\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, J. Xavier, A. Andrade-Campos, <a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/Materials_paper_JHenriques.pdf\">Identification of orthotropic elastic properties of wood by a synthetic image approach based on digital image correlation<\/a><span style=\"font-size: 1rem;\">, Materials 2022, 15, 625. https:\/\/<\/span>doi.org\/10.3390\/ma15020625.<\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, M. Conde, A- Andrade-Campos, J. Xavier, <a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/ESAFORM2022_Paper_JHenriques.pdf\">Identification of swift law parameters using FEMU by a synthetic image DIC-based approach<\/a><span style=\"font-size: 1rem;\">, Key Engineering Materials, 2022, Trans Tech Publications Ltd, Switzerland, doi:10.4028\/p-33un7m.<\/span><\/li>\n<\/ul>\n<ul>\n<li>M. Conde, J. Henriques, S. Coppieters, A- Andrade-Campos, <a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/ESAFORM2022_paper_MCondeJHenriques.pdf\">Parameter Identification of swift law using FEMU-based approach and an innovative heterogeneous mechanical test<\/a><span style=\"font-size: 1rem;\">, Key Engineering Materials, 2022, Trans Tech Publications Ltd, Switzerland,&nbsp;<\/span>doi: 10.4028\/p-1n7iop<\/li>\n<\/ul>\n<ul>\n<li>M. Conde, S. Coppieters, A. Andrade-Campos, A<a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/Conde_2022_IOP_Conf._Ser.__Mater._Sci._Eng._1238_012056.pdf\"> relative approach for uncertainty quantification of inversely identified material behavior using a heterogeneous test for sheet metal<\/a><span style=\"font-size: 1rem;\">, IDDRG 2022, doi:10.1088\/1757-899X\/1238\/1\/012056.<\/span><\/li>\n<\/ul>\n<ul>\n<li>M. Conde, S. Coppieters, A. Andrade-Campos, <a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/Conde_TEchMA2022_abstract.pdf\">On the selection of constitutive models for realistic numerical simulations<\/a><span style=\"font-size: 1rem;\">, TechMA 2022 \u2013 5<\/span>th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.<\/li>\n<\/ul>\n<ul>\n<li>M. Conde, S. Coppieters, A. Andrade-Campos, <a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/Poster_Conde_Encontro_Ciencia_2022.pdf\">A relative methodology for the uncertainty quantification of material model calibration using a DIC-levelled FEMU and a heterogeneous test<\/a><span style=\"font-size: 1rem;\">, Encontro Ci\u00eancia 2022.<\/span><\/li>\n<\/ul>\n<ul>\n<li>A. Andrade-Campos, N. Bastos, M. Conde, M. Gon\u00e7alves, J. Henriques, , <a style=\"font-size: 1rem;\" href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/Andrade-Campos_2022_IOP_Conf._Ser.__Mater._Sci._Eng._1238_012059-1.pdf\">On the inverse identification methods for forming plasticity models using full-field measurements<\/a><span style=\"font-size: 1rem;\">, 41th International Deep Drawing Research Group Conference 2022.&nbsp;<\/span>doi:10.1088\/1757-899X\/1238\/1\/012059<\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, M. Conde, A. Andrade-Campos, J. Xavier, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/EncontroCiencia2022_Poster_JHenriques.pdf\">Identification of hardening parameters using FEMU and DIC-levelled FEA data<\/a>,&nbsp; Encontro Ci\u00eancia 2022.<\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, A. Andrade-Campos, J. Xavier, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/On-the-inverse-identification-of-DP600-steel-constitutive-parameters-by-a-synthetic-image-approach-based-on-digital-image-correlation.pdf\">On the inverse identification of DP600-steel constitutive parameters by a synthetic image approach based on digital image correlation<\/a>, 41th International Deep Drawing Research Group Conference 2022<\/li>\n<\/ul>\n<ul>\n<li>M. Conde, A. Andrade-Campos, S. Coppieters, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/Uncertainty-Quantification-of-Inversely-Identified-Plastic-Material-Behavior-using-an-Innovative-Heterogeneous-Mechanical-Test-for-Sheet.pdf\">Uncertainty Quantification of Inversely Identified Plastic Material Behavior using an Innovative Heterogeneous Mechanical Test for Sheet<\/a>&nbsp;Metal, 41th International Deep Drawing Research Group Conference 2022<\/li>\n<\/ul>\n<ul>\n<li>M. Conde, J. Henriques, A. Andrade-Campos, S Coppieters, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/Parameter-identification-of-Swift-law-and-Yld2000-2d-function-using-FEMU-and-an-Innovative-heterogeneous-mechanical-test.pdf\">Parameter identification of Swift law and Yld2000-2d function using FEMU and an Innovative heterogeneous mechanical test<\/a>, ESAFORM 2022, Braga<\/li>\n<\/ul>\n<ul>\n<li>M. Gon\u00e7alves, A. Andrade-Campos, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/On-the-design-of-a-heterogeneous-mechanical-test-using-a-nonlinear-topology-optimization-approach.pdf\">On the design of a heterogeneous mechanical test using a nonlinear topology optimization approach<\/a>, ESAFORM 2022, Braga<\/li>\n<\/ul>\n<ul>\n<li>M. Gon\u00e7alves, A. Andrade-Campos, S. Thuillier, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/On-the-topology-design-of-a-mechanical-heterogeneous-specimen-using-geometric-and-material-nonlinearities.pdf\">On the topology design of a mechanical heterogeneous specimen using geometric and material nonlinearities<\/a>, 41th International Deep Drawing Research Group Conference 2022<\/li>\n<\/ul>\n<ul>\n<li>Y. Zhang, S. Gothivarekar, M. Conde, A. Van de Velde, B. Paermentier, A. Andrade-Campos, S. Coppieters,&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.ijmecsci.2021.106891\">Enhancing the information-richness of sheet metal specimens for inverse identification of plastic anisotropy through strain fields<\/a>, International Journal of Mechanical Sciences, 214: 106891, 2022, doi:10.1016\/j.ijmecsci.2021.106891.<\/li>\n<\/ul>\n<ul>\n<li>M. Gon\u00e7alves, S. Thuillier, A. Andrade-Campos, D<a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2023\/05\/Encontro_ciencia_2022_MGoncalves.pdf\">esign of a heterogeneous mechanical test using a nonlinear topology optimization approach<\/a>, Encontro Ci\u00eancia 2022.<\/li>\n<\/ul>\n<ul>\n<li>Oliveira, M. G., Lattanzi, A., Thuillier, S., Andrade-Campos, A., &amp; Rossi, M. (2022). <a href=\"https:\/\/doi.org\/10.4028\/p-abe455\">Error Estimation of the 3D Reconstruction of a Displacement Field from DIC Measurements<\/a>.&nbsp;<i>Key Engineering Materials<\/i>,&nbsp;<i>926<\/i>, 2129\u20132136. https:\/\/doi.org\/10.4028\/p-abe455<\/li>\n<\/ul>\n<ul>\n<li>Rossi, M., Lattanzi, A., &amp; Morichelli, L. (2022). <a href=\"https:\/\/zenodo.org\/records\/10631936\">Integrated Thermomechanical Characterization of Metals Using the Virtual Fields Method.<\/a> Key Engineering Materials, 926, 2222\u20132227. <a href=\"https:\/\/doi.org\/10.4028\/p-t8ksaq\">https:\/\/doi.org\/10.4028\/p-t8ksaq<\/a><\/li>\n<\/ul>\n<ul>\n<li>Rossi, M., &amp; Lattanzi, A. (2022). <a href=\"https:\/\/zenodo.org\/records\/10632242\">On the use of elliptical bulge tests in material characterization through inverse methodologies.<\/a> IOP Conf. Series: Materials Science and Engineering, 1238(012053). <a href=\"https:\/\/doi.org\/10.1088\/1757-899X\/1238\/1\/012053\">https:\/\/doi.org\/10.1088\/1757-899X\/1238\/1\/012053<\/a><\/li>\n<\/ul>\n<div>\n<ul>\n<li>Rossi, M., Lattanzi, A., Barlat, F., &amp; Kim, J.-H. (2022). Inverse identification of large strain plasticity using the hydraulic bulge-test and full-field measurements. International Journal of Solids and Structures, 242, 111532\u2013111532.&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.ijsolstr.2022.111532\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.ijsolstr.2022.111532<\/a><\/li>\n<\/ul>\n<ul>\n<li>Bastos, N., Prates, P. A., &amp; Andrade-Campos, A. (2022).&nbsp;<a href=\"https:\/\/zenodo.org\/records\/6949371\" target=\"_blank\">Material Parameter Identification of Elastoplastic Constitutive Models Using Machine Learning Approaches<\/a>. Key Engineering Materials, 926, 2193\u20132200.&nbsp;<a href=\"https:\/\/doi.org\/10.4028\/p-zr575d\" target=\"_blank\">https:\/\/doi.org\/10.4028\/p-zr575d<\/a><\/li>\n<\/ul>\n<ul>\n<li>Henriques, J., Xavier, J., &amp; Andrade-Campos, A. (2022).&nbsp;<a href=\"https:\/\/zenodo.org\/records\/6949407\" target=\"_blank\">Identification of orthotropic elastic properties of wood by digital image correlation and finite element model updating techniques<\/a>. Procedia Structural Integrity, 37, 25\u201332.&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.prostr.2022.02.047\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.prostr.2022.02.047<\/a><\/li>\n<\/ul>\n<ul>\n<li>Oliveira, M. J. G. (2022). Efficient strategies to speed up material characterization and parameter identification for virtual forming of metallic sheets.&nbsp;<a href=\"http:\/\/hdl.handle.net\/10773\/35951\" target=\"_blank\">http:\/\/hdl.handle.net\/10773\/35951<\/a><br><\/li>\n<\/ul>\n<div><br><\/div>\n<div><br><\/div>\n<\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6449c28 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6449c28\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-56e6dafd\" data-id=\"56e6dafd\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-26c18913 elementor-widget elementor-widget-text-editor\" data-id=\"26c18913\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h1>2021<\/h1>\n<ul>\n<li>D.S. Nunes, A. Andrade-Campos, M.R. Oliveira. <a href=\"http:\/\/dx.doi.org\/10.34624\/7q83-ay77\">Development of a Framework for an Automated Mechanical Testing &#8211; Automatic specimen tray detection and handling procedure using a robotic manipulator<\/a>, Book of abstracts of the 4th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions \u2013 TechMA2021, Pereira et al. Eds, pg. 15, ISBN: 978-972-789-667-7, UA editora, Portugal, 2021. https:\/\/doi: <a href=\"http:\/\/dx.doi.org\/10.34624\/7q83-ay77\">10.34624\/7q83-ay77<\/a><\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, J. Xavier, A. Andrade-Campos, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/Identification-of-Swift-law-and-Yld2000-2d-parameters-using-FEMU-by-a-synthetic-image-approach-based-on-digital-image-correlation.pdf\">Identification of Swift law and Yld2000-2d parameters using FEMU by a synthetic image approach based on digital image correlation<\/a>, ICSI 2021 &#8211; 4th International Conference on Structural Integrity<\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, A. Andrade-Campos, J. Xavier, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/Digital-twin-development-in-metal-forming-calibration-aided-by-digital-image-correlation-and-artificial-intelligence-summit.pdf\">Digital twin development in metal forming calibration aided by digital image correlation and artificial intelligence summit<\/a>, Research Summit 2021 Conference<\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, J. Xavier, A. Andrade-Campos, <a href=\"http:\/\/dx.doi.org\/10.34624\/7q83-ay77\">Digital twin development in metal forming calibration aided by digital image correlation and artificial intelligence techma<\/a>, TEchMA 2021\u2013 4th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions \u2013 TechMA2021, Pereira et al. Eds, pg. 17, ISBN: 978-972-789-667-7, UA editora, Portugal, 2021. https:\/\/doi: <a href=\"https:\/\/doi.org\/10.34624\/7q83-ay77\">10.34624\/7q83-ay77<\/a><\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, J. Xavier, A. Andrade-Campos, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/Identification-of-orthotropic-elastic-properties-of-wood-by-a-synthetic-image-approach-based-on-digital-image-correlation.pdf\">Identification of orthotropic elastic properties of wood by a synthetic image approach based on digital image correlation<\/a>,&nbsp; PhotoMechanics \u2013 iDICs Conference 2021, 3-5 November 2021, Nantes, France. <a href=\"https:\/\/pm-idics-2021.org\/\">https:\/\/pm-idics-2021.org\/<\/a><\/li>\n<\/ul>\n<ul>\n<li>J. Henriques, J. Xavier, A. Andrade-Campos. <em>Digital twin development in metal forming: calibration aided by digital image correlation and artificial intelligence<\/em>, Book of abstracts of the 4th International Conference on Structural Integrity, Moreira et al. (Eds), pg. 38, ISBN: 978-989-33-2102-7, Funchal, Portugal, 2021.<\/li>\n<\/ul>\n<ul>\n<li><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-weight: var( --e-global-typography-text-font-weight ); font-size: 1rem;\">J. P. Martins, A. Andrade-Campos, S. Thuillier, <a href=\"http:\/\/dx.doi.org\/10.1016\/j.ijmecsci.2021.106511\">Calibration of a modified Johnson-Cook model using the Virtual Fields Method and a heterogeneous thermo-mechanical tensile test<\/a>, International Journal of Mechanical Sciences 202\u2013203: 106511, doi: 10.1016\/j.ijmecsci.2021.106511, 2021. (green open access available also in <a href=\"http:\/\/hdl.handle.net\/10773\/31465\">http:\/\/hdl.handle.net\/10773\/31465<\/a>)<\/span><\/li>\n<\/ul>\n<ul>\n<li>\n<p>M. Conde, A. Andrade-Campos, M. Oliveira, J. Martins, (2021).&nbsp;<a href=\"https:\/\/doi.org\/10.25518\/ESAFORM21.2502\">Design of heterogeneous interior notched specimens for material mechanical characterization<\/a>. ESAFORM 2021 &#8211; 24th International Conference on Material Forming. https:\/\/doi.org\/10.25518\/ESAFORM21.2502<\/p>\n<\/li>\n<\/ul>\n<ul>\n<li>M. Conde, A. Andrade-Campos, S. Coppieters, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/Design-of-heterogeneous-interior-notched-specimens-for-material-mechanical-characterization.pdf\">Design of heterogeneous interior notched specimens for material mechanical characterization<\/a>,&nbsp;Conference: XVI International Conference on Computational Plasticity, Fundamentals and Applications, COMPLAS 2021,&nbsp; Barcelona, Spain<\/li>\n<\/ul>\n<ul>\n<li><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-weight: var( --e-global-typography-text-font-weight ); font-size: 1rem;\">M. Conde, A. Andrade-Campos, <a href=\"https:\/\/doi.org\/10.34624\/7q83-ay77\">Recommendation engine and uncertainty techniques for the efficient calibatrion and selection of thermomechanical constitutive models<\/a>, Conference: TEchMA 2021\u2013 4th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions,&nbsp; Aveiro, Portugal. https:\/\/doi: 10.34624\/7q83-ay77<\/span><\/li>\n<\/ul>\n<ul>\n<li>M. Conde, A. Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation, COMPLAS 2021, proceedings of the XVI International Conference on Computational Plasticity \u2013 Fundamentals and Applications, Barcelona, Spain, 7-10 September (e-book), 2021.<\/li>\n<\/ul>\n<ul>\n<li>M. Gon\u00e7alves, A. Andrade-Campos, J. A. Dias-de-Oliveira, <a href=\"http:\/\/www.vform-xsteels.eu\/wp-content\/uploads\/2022\/01\/On-the-design-of-mechanical-heterogeneous-specimens-using-both-parametric-and-topology-optimization.pdf\">On the design of mechanical heterogeneous specimens using both parametric and topology optimization<\/a>, COMPLAS 2021, proceedings of the XVI International Conference on Computational Plasticity \u2013 Fundamentals and Applications, Barcelona, Spain, 7-10 September (e-book), 2021.<\/li>\n<\/ul>\n<ul>\n<li>M. Gon\u00e7alves, A. Andrade-Campos, <a href=\"https:\/\/doi.org\/10.34624\/7q83-ay77\">Design of novel heterogeneous thermomechanical tests using topology-based optimization methodologies, motivation and prominence<\/a>, Conference: TEchMA 2021 &#8211; 4th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions, Aveiro, Portugal. https:\/\/doi: 10.34624\/7q83-ay77<\/li>\n<\/ul>\n<ul>\n<li>M. G. Oliveira, S. Thuillier, A. Andrade-Campos, <a href=\"https:\/\/doi.org\/10.1177%2F03093247211027061\">Evaluation of Heterogeneous Mechanical Tests for Model Calibration of Sheet Metals<\/a>, The Journal of Strain Analysis for Engineering Design 1-17, doi: 10.1177\/03093247211027061, 2021. <a href=\"http:\/\/hdl.handle.net\/10773\/32797\">http:\/\/hdl.handle.net\/10773\/32797<\/a><\/li>\n<\/ul>\n<ul>\n<li>M.G. Oliveira, J.M.P. Martins, B. Coelho, S. Thuillier, A. Andrade-Campos, A.. (2021).&nbsp;<a href=\"http:\/\/dx.doi.org\/10.25518\/esaform21.1486\">On the Optimisation Efficiency for the Inverse Identification of Constitutive Model Parameters<\/a>. ESAFORM 2021.&nbsp; 10.25518\/esaform21.1486, April, 2021. <a href=\"http:\/\/hdl.handle.net\/10773\/31364\">http:\/\/hdl.handle.net\/10773\/31364<\/a><\/li>\n<\/ul>\n<ul>\n<li>M.G. Oliveira, A. Lattanzi, A. Andrade-Campos, S. Thuillier, M. Rossi. Uncertainty quantification in the volume reconstruction from stereo-DIC measurements using virtual experiments, Proceedings of the Photomechanics IDICS Conference, 3-5 November 2021, Nantes, France. <a href=\"https:\/\/pm-idics-2021.org\/\">https:\/\/pm-idics-2021.org\/ <\/a><\/li>\n<\/ul>\n<ul>\n<li>S. Cooreman, S. Coppieters, <a href=\"https:\/\/www.scipedia.com\/wd\/images\/d\/d2\/Cooreman_Coppieters_2022a_1557_138_abstract.pdf\">On solving inconsistencies between different types of hardening models<\/a>, XVI International Conference on Computational Plasticity. Fundamentals and Applications COMPLAS 2021<\/li>\n<\/ul>\n<ul>\n<li>S. Cooreman, S. Coppieters, On solving inconsistencies between different types of hardening model, COMPLAS 2021, proceedings of the XVI International Conference on Computational Plasticity \u2013 Fundamentals and Applications, Barcelona, Spain, 7-10 September (e-book), 2021.<\/li>\n<\/ul>\n<ul>\n<li>Y. Zhang, S. Coppieters, S. Gothivarekar, A.&nbsp; Van de Velde, D. Debruyne, <a href=\"https:\/\/dx.doi.org\/10.25518\/esaform21.2622\">Independent Validation of Generic Specimen Design for Inverse Identification of Plastic Anisotropy<\/a>. Paper presented at ESAFORM 2021. 24th International Conference on Material Forming, Li\u00e8ge, Belgique. doi: 10.25518\/esaform21.2622<\/li>\n<\/ul>\n<div>\n<ul>\n<li>Martins, J. (2020). Calibrations of thermo-mechanical constitutive models for sheet metals from full-field measurements [PhD Thesis].&nbsp;<a href=\"https:\/\/ria.ua.pt\/handle\/10773\/30560\" target=\"_blank\">http:\/\/hdl.handle.net\/10773\/30560<\/a><br><\/li>\n<\/ul>\n<\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Benchmark Datasets Henriques, J. D. F., Conde, M., Gon\u00e7alves, M., &amp; Andrade-Campos, A. (2024). vForm-xSteels Internal Benchmark Experimental Dataset (UAveiro) [Data set]. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.10563046 Rossi, M., &amp; Pillon, M. (2024). vForm-xSteels Internal Benchmark Experimental Dataset (UnivPM) [Data set]. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.10563113 Coppieters, S., &amp; Zhang, Y. (2024). vForm-xSteels Internal Benchmark Experimental Dataset (KU Leuven) [Data set]. [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"saved_in_kubio":false,"footnotes":""},"kubio_ai_page_context":{"short_desc":"","purpose":"general"},"_links":{"self":[{"href":"https:\/\/www.vform-xsteels.eu\/index.php\/wp-json\/wp\/v2\/pages\/664"}],"collection":[{"href":"https:\/\/www.vform-xsteels.eu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.vform-xsteels.eu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.vform-xsteels.eu\/index.php\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vform-xsteels.eu\/index.php\/wp-json\/wp\/v2\/comments?post=664"}],"version-history":[{"count":237,"href":"https:\/\/www.vform-xsteels.eu\/index.php\/wp-json\/wp\/v2\/pages\/664\/revisions"}],"predecessor-version":[{"id":5032,"href":"https:\/\/www.vform-xsteels.eu\/index.php\/wp-json\/wp\/v2\/pages\/664\/revisions\/5032"}],"wp:attachment":[{"href":"https:\/\/www.vform-xsteels.eu\/index.php\/wp-json\/wp\/v2\/media?parent=664"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}