Benchmark Datasets

Henriques, J. D. F., Conde, M., Gonçalves, M., & Andrade-Campos, A. (2024). vForm-xSteels Internal Benchmark Experimental Dataset (UAveiro) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10563046

Rossi, M., & Pillon, M. (2024). vForm-xSteels Internal Benchmark Experimental Dataset (UnivPM) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10563113

Coppieters, S., & Zhang, Y. (2024). vForm-xSteels Internal Benchmark Experimental Dataset (KU Leuven) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10563072

2024

Maček, A., Starman, B., Coppieters, S., Urevc, J., & Halilovič, M. (2024). Confidence intervals of inversely identified material model parameters: A novel two-stage error propagation model based on stereo DIC system uncertainty. Optics and Lasers in Engineering, 174, 107958. https://doi.org/10.1016/j.optlaseng.2023.107958

Rúben Lourenço, Petia Georgieva, Cueto, E., & A. Andrade-Campos. (2024). An indirect training approach for implicit constitutive modelling using recurrent neural networks and the virtual fields method. Computer Methods in Applied Mechanics and Engineering, 425, 116961–116961. https://doi.org/10.1016/j.cma.2024.116961

Gonçalves, M., Guegan, B., Thuillier, S., & Andrade-Campos, A. (2024). Experimental investigation of heterogeneous mechanical tests. Materials Research Proceedings, 41, 1742–1751. https://doi.org/10.21741/9781644903131-193

Halilovič, M., Starman, B., & Coppieters, S. (2024). From strain to stress using full-field data: Computationally efficient stress reconstruction. Materials Research Proceedings, 41, 1089–1098. https://doi.org/10.21741/9781644903131-120

Starman, B., Zhang, Y., Lava, P., Halilovič, M., & Coppieters, S. (2024). Identifiability analysis of material identification using nonlinear VFM. Materials Research Proceedings, 41, 1761–1768. https://doi.org/10.21741/9781644903131-195

Prates, P., Pinto, J., Marques, J., Henriques, J., Pereira, A., & Andrade-Campos, A. (2024). Influence of data filtering and noise on the calibration of constitutive models using machine learning techniques. Materials Research Proceedings, 41, 1807–1816. https://doi.org/10.21741/9781644903131-200

Coppieters, S., Lambrughi, A., Vancraeynest, N., Zhang, Y., Cooreman, S., & Starman, B. (2024). Plasticity experiments on heavy gauge S700 steel. Materials Research Proceedings, 41, 1135–1143. https://doi.org/10.21741/9781644903131-125

Andrade-Campos, A., Campos, A., Henriques, J., Filho, L., Túlio, M., Conde, M., Gonçalves, M., Prates, P., & Lourenço, R. (2024). VForm-xSteels: virtual materials database. Materials Research Proceedings, 41, 1789–1798. https://doi.org/10.21741/9781644903131-198

Armando E. Marques, Tomás G. Parreira, André 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, 113024–113024. doi: 10.1016/j.ijsolstr.2024.113024, 2024 (green open access), repository link: https://zenodo.org/records/13832921

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). Strojniški Vestnik – Journal of Mechanical Engineering. 70 (9-10), 417-425. doi: doi.org/10.5545/sv-jme.2024.1037, repository link: https://zenodo.org/records/13830273

Bin Chen, Bojan Starman, Miroslav Halilovič, Lars A. Berglund & Sam Coppieters (2024). Finite Element Model Updating for Material Model Calibration: A Review and Guide to Practice. Archives of Computational Methods in Engineering. doi: 10.1007/s11831-024-10200-9, repository link: https://zenodo.org/records/14217553

2023

M. Conde, Y. Zhang, J. Henriques, S. Coppieters, A. Andrade-Campos, Design and validation of a heterogeneous interior notched specimen for inverse material parameter identification, Finite Elements in Analysis and Design 214 (2023) 103866. https://doi.org/10.1016/j.finel.2022.103866

N. Vancraeynest, S. Cooreman and S. Coppieters, Identification of the large strain flow curve of high strength steel via the torsion test and FEMU, Material Forming – ESAFORM 2023.

M. Gonçalves, S. Thuillier, A. Andrade-Campos, The influence of symmetry boundary conditions in the design of heterogeneous mechanical tests using topology optimization, VII ECCOMAS Young Investigators Conference, YIC2023, Porto, Portugal.

R. Lourenço, E. Cueto, P. Georgieva, A. Andrade-Campos, On the constraints and consistency in implicit elastoplastic constitutive modelling using ANNs and indirect training, VII ECCOMAS Young Investigators Conference, YIC2023, Porto, Portugal.

M. Gonçalves, M. Oliveira, S. Thuillier, A. Andrade-Campos, Selecting a heterogeneous mechanical test for sheet metal characterization, TEchMA 2023– 6th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.

M. Gonçalves, M. Oliveira, S. Thuillier, A. Andrade-Campos, On the comparison of heterogeneous mechanical tests for sheet metal characterization, ESAFORM 2023, Krakow, Poland.

J. Henriques, A. Andrade-Campos, J. Xavier, On the inverse calibration of sheet metal anisotropic plasticity constitutive models using the Arcan teste and full-field measurements, VII ECCOMAS Young Investigators Conference, YIC 2023, Porto, Portugal.

J. Henriques, A. Andrade-Campos, J. Xavier, On the identifiability of sheet metal constitutive parameters using the Arcan test, TEchMA 2023– 6th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.

M. Conde, S. Coppieters, A. Andrade-Campos, Process-informed material model selection, ESAFORM 2023, https://doi.org/10.21741/9781644902479-148.

M. Conde, S. Coppieters, A. Andrade-Campos, Constitutive model selection for sheet metal forming based on the analysis of identifiability of the material parameters, VII ECCOMAS Young Investigators Conference, YIC2023, Porto, Portugal.

M. Conde, S. Coppieters, A. Andrade-Campos, Process-informed constitutive model selection, TEchMA 2023– 6th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.

R. Lourenço, E. Cueto, P. Georgieva, A. Andrade-Campos, On the constraints and consistency in the implicit constitutive modelling using ANNs and indirect training, ESAFORM 2023, https://doi.org/10.21741/9781644902479-125.

P. Prates, J. Henriques, J. Pinto, N. Bastos, A. Andrade-Campos, Coupling machine learning and synthetic image DIC-based techniques for the calibration of elastoplastic constitutive models, ESAFORM 2023, https://doi.org/10.21741/9781644902479-130

J. Henriques, A. Andrade-Campos, J. Xavier, On the inverse identification of sheet metal constitutive parameters using a virtual experiment and the Arcan test, ESAFORM 2023, 26th International Conference on Material Forming Krakow, Poland.

J. Henriques, A. Andrade-Campos, J. Xavier, On the inverse identification of sheet metal mechanical behaviour using a heterogeneous Arcan virtual experiment, ESAFORM 2023, https://doi.org/10.21741/9781644902479-124

J. Henriques, A. Andrade-Campos, J. Xavier, On the identifiability of sheet metal anisotropic plasticity constitutive parameters using the Arcan test and full-field measurements, International Conference on Structural Integrity 2023.

Morichelli, L., Chiappini, G., Lattanzi, A., Santecchia, E., & Rossi, M. (2023). Combined effect of process variables on the plastic behaviour of 316L stainless steel printed by L-PBF. Strain, e12438. https://doi.org/10.1111/str.12438

Rossi, M., Lattanzi, A., & Amodio, D. (2023). A hybrid VFM-FEMU approach to calibrate 3D anisotropic plasticity models for sheet metal forming. Materials Research Proceedings, 28, 1203–1210. https://doi.org/10.21741/9781644902479-131

2022

Y. Zhang, A. Van Bael, A. Andrade-Campos, S. Coppieters, Parameter identifiability analysis: Mitigating the non-uniqueness issue in the inverse identification of an anisotropic yield function, International Journal of Solids and Structures, https://doi.org/10.1016/j.ijsolstr.2022.111543

S. Coppieters, H. Traphöner, F. Stiebert, T. Balan, T. Kuwabara, A.E. Tekkaya, Large strain flow curve identification for sheet metal, Journal of Materials Processing Tech, https://doi.org/10.1016/j.jmatprotec.2022.117725

S. Coppieters, Y. Zhang, N. Vancraeynest, A. Lambrughi and S. Cooreman, Inverse identification of a 3D anisotropic yield function through an information-rich tensile test and multi-sDIC, Lecture Notes in Mechanical Engineering, 689–699. https://doi.org/10.1007/978-3-031-42093-1_66

Y. Zhang, A. andrade-Campos, S. Coppieters, Identification of Anisotropic Yield Functions Using FEMU and an Information-Rich Tensile Specimen, Key Engineering Materials, doi: 10.4028/p-m5q583

Rossi, M., Lattanzi, A., Morichelli, L., Martins, J. M. P., Thuillier, S., Andrade-Campos, A., & Coppieters, S. (2022). Testing methodologies for the calibration of advanced plasticity models for sheet metals: A review. Strain, 58(6). https://doi.org/10.1111/str.12426

A. Andrade-Campos, S. Coppieters, M. Strano, Optimization and inverse analysis in metal forming: scientific state-of-the-art and recent trends, International Journal of Material Forming, https://doi.org/10.1007/s12289-022-01690-8

A. Andrade-Campos, J. Henriques, J. Martins, L. Rumor, M. Conde, M. Oliveira, M. Gonçalves, N. Bastos, P. Prates, R. Lourenço, Comparison of full-field inverse identification methods for metal plasticity, Congress on Numerical Methods in Engineering 2022, Las Palmas de Gran Canaria, España.

R. Lourenço, A. Andrade-Campos, P. Georgieva, The Virtual Fields Method to Indirectly Train Artificial Neural Networks for Implicit Constitutive Modelling, ESAFORM 2022, Key Engineering Materials, doi:10.4028/p-gy2di7, Braga, Portugal.

R. Lourenço, A. Andrade-Campos, P. Georgieva, Coupling the virtual fields method with ANNs for implicit constitutive modelling, Encontro Ciência 2022.

M. Gonçalves, S. Thuillier, A. Andrade-Campos, A nonlinear topology-based optimization approach for the design of a heterogeneous mechanical test, TEchMA 2022– 5th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.

M. Gonçalves, A. Andrade-Campos, S. Thuiller, On the design of a heterogeneous mechanical test using a nonlinear topology optimization approach, Key Engineering Materials, Trans Tech Publication Ltd, Switzerland, doi:10.4028/p-6rou28, ESAFORM 2022.

M. Gonçalves, A. Andrade-Campos, S. Thuillier, On the topology design of a mechanical heterogeneous specimen using geometric and material nonlinearities, IDDRG 2022, doi:10.1088/1757-899X/1238/1/012055

J. Henriques, J. Xavier, A. Andrade-Campos, On the inverse identification of wood elastic properties using a DIC-based FEMU approach, International Journal of Structural Integrity, Emerald Publishing Ltd, 1757-9864, doi:10.1108/IJSI-04-2022-0063.

J. Henriques, M. Conde, A. Andrade-Campos, J. Xavier, Identification of Swift law and Yld2000-2d parameters using FEMU by a synthetic image approach based on digital image correlation, ESAFORM 2022 – 25th International Conference on Material Forming.

J. Henriques, J. Xavier, A. Andrade-Campos, Identification of orthotropic elastic properties of wood by a synthetic image approach based on digital image correlation, Materials 2022, 15, 625. https://doi.org/10.3390/ma15020625.

J. Henriques, M. Conde, A- Andrade-Campos, J. Xavier, Identification of swift law parameters using FEMU by a synthetic image DIC-based approach, Key Engineering Materials, 2022, Trans Tech Publications Ltd, Switzerland, doi:10.4028/p-33un7m.

M. Conde, J. Henriques, S. Coppieters, A- Andrade-Campos, Parameter Identification of swift law using FEMU-based approach and an innovative heterogeneous mechanical test, Key Engineering Materials, 2022, Trans Tech Publications Ltd, Switzerland, doi: 10.4028/p-1n7iop

M. Conde, S. Coppieters, A. Andrade-Campos, A relative approach for uncertainty quantification of inversely identified material behavior using a heterogeneous test for sheet metal, IDDRG 2022, doi:10.1088/1757-899X/1238/1/012056.

M. Conde, S. Coppieters, A. Andrade-Campos, On the selection of constitutive models for realistic numerical simulations, TechMA 2022 – 5th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions.

M. Conde, S. Coppieters, A. Andrade-Campos, A relative methodology for the uncertainty quantification of material model calibration using a DIC-levelled FEMU and a heterogeneous test, Encontro Ciência 2022.

A. Andrade-Campos, N. Bastos, M. Conde, M. Gonçalves, J. Henriques, , On the inverse identification methods for forming plasticity models using full-field measurements, 41th International Deep Drawing Research Group Conference 2022. doi:10.1088/1757-899X/1238/1/012059

J. Henriques, M. Conde, A. Andrade-Campos, J. Xavier, Identification of hardening parameters using FEMU and DIC-levelled FEA data, Encontro Ciência 2022.

J. Henriques, A. Andrade-Campos, J. Xavier, On the inverse identification of DP600-steel constitutive parameters by a synthetic image approach based on digital image correlation, 41th International Deep Drawing Research Group Conference 2022

M. Conde, A. Andrade-Campos, S. Coppieters, Uncertainty Quantification of Inversely Identified Plastic Material Behavior using an Innovative Heterogeneous Mechanical Test for Sheet Metal, 41th International Deep Drawing Research Group Conference 2022

M. Conde, J. Henriques, A. Andrade-Campos, S Coppieters, Parameter identification of Swift law and Yld2000-2d function using FEMU and an Innovative heterogeneous mechanical test, ESAFORM 2022, Braga

M. Gonçalves, A. Andrade-Campos, On the design of a heterogeneous mechanical test using a nonlinear topology optimization approach, ESAFORM 2022, Braga

M. Gonçalves, A. Andrade-Campos, S. Thuillier, On the topology design of a mechanical heterogeneous specimen using geometric and material nonlinearities, 41th International Deep Drawing Research Group Conference 2022

Y. Zhang, S. Gothivarekar, M. Conde, A. Van de Velde, B. Paermentier, A. Andrade-Campos, S. Coppieters, Enhancing the information-richness of sheet metal specimens for inverse identification of plastic anisotropy through strain fields, International Journal of Mechanical Sciences, 214: 106891, 2022, doi:10.1016/j.ijmecsci.2021.106891.

M. Gonçalves, S. Thuillier, A. Andrade-Campos, Design of a heterogeneous mechanical test using a nonlinear topology optimization approach, Encontro Ciência 2022.

Oliveira, M. G., Lattanzi, A., Thuillier, S., Andrade-Campos, A., & Rossi, M. (2022). Error Estimation of the 3D Reconstruction of a Displacement Field from DIC Measurements. Key Engineering Materials, 926, 2129–2136. https://doi.org/10.4028/p-abe455

Rossi, M., Lattanzi, A., & Morichelli, L. (2022). Integrated Thermomechanical Characterization of Metals Using the Virtual Fields Method. Key Engineering Materials, 926, 2222–2227. https://doi.org/10.4028/p-t8ksaq

Rossi, M., & Lattanzi, A. (2022). On the use of elliptical bulge tests in material characterization through inverse methodologies. IOP Conf. Series: Materials Science and Engineering, 1238(012053). https://doi.org/10.1088/1757-899X/1238/1/012053

Rossi, M., Lattanzi, A., Barlat, F., & 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, 111532–111532. https://doi.org/10.1016/j.ijsolstr.2022.111532

Bastos, N., Prates, P. A., & Andrade-Campos, A. (2022). Material Parameter Identification of Elastoplastic Constitutive Models Using Machine Learning Approaches. Key Engineering Materials, 926, 2193–2200. https://doi.org/10.4028/p-zr575d

Henriques, J., Xavier, J., & Andrade-Campos, A. (2022). Identification of orthotropic elastic properties of wood by digital image correlation and finite element model updating techniques. Procedia Structural Integrity, 37, 25–32. https://doi.org/10.1016/j.prostr.2022.02.047

Oliveira, M. J. G. (2022). Efficient strategies to speed up material characterization and parameter identification for virtual forming of metallic sheets. http://hdl.handle.net/10773/35951

2021

D.S. Nunes, A. Andrade-Campos, M.R. Oliveira. Development of a Framework for an Automated Mechanical Testing – Automatic specimen tray detection and handling procedure using a robotic manipulator, Book of abstracts of the 4th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions – TechMA2021, Pereira et al. Eds, pg. 15, ISBN: 978-972-789-667-7, UA editora, Portugal, 2021. https://doi: 10.34624/7q83-ay77

J. Henriques, J. Xavier, A. Andrade-Campos, Identification of Swift law and Yld2000-2d parameters using FEMU by a synthetic image approach based on digital image correlation, ICSI 2021 – 4th International Conference on Structural Integrity

J. Henriques, A. Andrade-Campos, J. Xavier, Digital twin development in metal forming calibration aided by digital image correlation and artificial intelligence summit, Research Summit 2021 Conference

J. Henriques, J. Xavier, A. Andrade-Campos, Digital twin development in metal forming calibration aided by digital image correlation and artificial intelligence techma, TEchMA 2021– 4th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions – TechMA2021, Pereira et al. Eds, pg. 17, ISBN: 978-972-789-667-7, UA editora, Portugal, 2021. https://doi: 10.34624/7q83-ay77

J. Henriques, J. Xavier, A. Andrade-Campos, Identification of orthotropic elastic properties of wood by a synthetic image approach based on digital image correlation, PhotoMechanics – iDICs Conference 2021, 3-5 November 2021, Nantes, France. https://pm-idics-2021.org/

J. Henriques, J. Xavier, A. Andrade-Campos. Digital twin development in metal forming: calibration aided by digital image correlation and artificial intelligence, 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.

J. P. Martins, A. Andrade-Campos, S. Thuillier, Calibration of a modified Johnson-Cook model using the Virtual Fields Method and a heterogeneous thermo-mechanical tensile test, International Journal of Mechanical Sciences 202–203: 106511, doi: 10.1016/j.ijmecsci.2021.106511, 2021. (green open access available also in http://hdl.handle.net/10773/31465)

M. Conde, A. Andrade-Campos, M. Oliveira, J. Martins, (2021). Design of heterogeneous interior notched specimens for material mechanical characterization. ESAFORM 2021 – 24th International Conference on Material Forming. https://doi.org/10.25518/ESAFORM21.2502

M. Conde, A. Andrade-Campos, S. Coppieters, Design of heterogeneous interior notched specimens for material mechanical characterization, Conference: XVI International Conference on Computational Plasticity, Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain

M. Conde, A. Andrade-Campos, Recommendation engine and uncertainty techniques for the efficient calibatrion and selection of thermomechanical constitutive models, Conference: TEchMA 2021– 4th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions, Aveiro, Portugal. https://doi: 10.34624/7q83-ay77

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 – Fundamentals and Applications, Barcelona, Spain, 7-10 September (e-book), 2021.

M. Gonçalves, A. Andrade-Campos, J. A. Dias-de-Oliveira, On the design of mechanical heterogeneous specimens using both parametric and topology optimization, COMPLAS 2021, proceedings of the XVI International Conference on Computational Plasticity – Fundamentals and Applications, Barcelona, Spain, 7-10 September (e-book), 2021.

M. Gonçalves, A. Andrade-Campos, Design of novel heterogeneous thermomechanical tests using topology-based optimization methodologies, motivation and prominence, Conference: TEchMA 2021 – 4th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions, Aveiro, Portugal. https://doi: 10.34624/7q83-ay77

M. G. Oliveira, S. Thuillier, A. Andrade-Campos, Evaluation of Heterogeneous Mechanical Tests for Model Calibration of Sheet Metals, The Journal of Strain Analysis for Engineering Design 1-17, doi: 10.1177/03093247211027061, 2021. http://hdl.handle.net/10773/32797

M.G. Oliveira, J.M.P. Martins, B. Coelho, S. Thuillier, A. Andrade-Campos, A.. (2021). On the Optimisation Efficiency for the Inverse Identification of Constitutive Model Parameters. ESAFORM 2021. 10.25518/esaform21.1486, April, 2021. http://hdl.handle.net/10773/31364

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. https://pm-idics-2021.org/

S. Cooreman, S. Coppieters, On solving inconsistencies between different types of hardening models, XVI International Conference on Computational Plasticity. Fundamentals and Applications COMPLAS 2021

S. Cooreman, S. Coppieters, On solving inconsistencies between different types of hardening model, COMPLAS 2021, proceedings of the XVI International Conference on Computational Plasticity – Fundamentals and Applications, Barcelona, Spain, 7-10 September (e-book), 2021.

Y. Zhang, S. Coppieters, S. Gothivarekar, A. Van de Velde, D. Debruyne, Independent Validation of Generic Specimen Design for Inverse Identification of Plastic Anisotropy. Paper presented at ESAFORM 2021. 24th International Conference on Material Forming, Liège, Belgique. doi: 10.25518/esaform21.2622

Martins, J. (2020). Calibrations of thermo-mechanical constitutive models for sheet metals from full-field measurements [PhD Thesis]. http://hdl.handle.net/10773/30560

Publications

Benchmark Datasets

2024

2023

2022

2021