- Categoria
- Professor
- Unidade Orgânica
- Department of Mechanical Engineering
- prates@ua.pt
- Ciência ID
- 291A-EB9D-4A4B
- ORCID iD
- 0000-0001-7650-9362
Pedro Prates is Professor Auxiliar at the Department of Mechanical Engineering at the University of Aveiro (DEM-UA) since 2021, where he also serves as Director of the Master's Degree in Mechanical Engineering since 2023 and as Deputy Director for Teaching and Research at DEM-UA since 2024. He completed a PhD in Mechanical Engineering in 2014 at the University of Coimbra, an Integrated Master in Mechanical Engineering in 2010 from the University of Coimbra, and a Bachelor's Degree in Mechanical Engineering in 2007 from the Abrantes Higher School of Technology (Tomar Polytechnic Institute). He is an Integrated Researcher at the Center for Mechanical Technology and Automation (TEMA) R&D unit; he is also coordinator of thematic line TL1 - Innovative and Sustainable Industries of the Associated Laboratory LASI. His research is mainly focused on applied and computational mechanics, namely numerical simulation of sheet metal forming processes, inverse strategies for identifying material parameters, process design and optimization under uncertainties, elastic-plastic fracture mechanics and machine learning applications in applied and computational mechanics. The work developed resulted in more than 100 publications, including 80+ publications in international journals, most of them in Q1 and Q2 journals. He is a guest editor in one international journal and has served as reviewer for 40+ international journals. He successfully supervised 2 PhD students and is currently supervising 3 PhD students. He supervised and co-supervised 40+ MSc dissertations. He received 6 awards and / or honors. He has been involved in several funded research projects, including EU projects, national FCT projects, and industry-driven initiatives (ANI), acting as Principal Investigator in national projects.
- 0financiamentos
- 0publicações
Financiamentos
LSD-TRIP – Aprendizagem com Pequenos Dados: Rumo a Previsões Robustas e Interpretáveis com Modelação Eficiente Conduzida por Dados do Material em Simulações de Conformação
RealForm – Stochastic Modelling and Uncertainty Quantification in Sheet Metal Forming Processes.
Advanced Production and Intelligent Systems
12/31/2025
10.54499/LA/P/0112/2020Laboratório Associado de Sistemas Inteligentes
12/31/2025
10.54499/LA/P/0104/2020Centro de Tecnologia Mecânica e Automação
12/31/2023
10.54499/UIDB/00481/2020Centro de Tecnologia Mecânica e Automação
12/31/2023
10.54499/UIDP/00481/2020Centre for Mechanical Enginnering, Materials and Processes
12/31/2024
10.54499/UIDB/00285/2020ifDAMAGElse - Modelling and numerical simulation of damage in metallic sheets: anisotropic behaviour and tension-compression asymmetry coupled approach for formability prediction
06/01/2022
POCI-01-0145-FEDER-030592TherMechChar-XSteels - Toward virtual forming and design: Thermomechanical characterization of high strength steels through full-field measurements and a single designed test
06/01/2021
PTDC/EME-APL/29713/2017Centro de Engenharia Mecânica
12/31/2019
UID/EMS/00285/2019EZ-SHEET - Easy-to-Use Strategy for the Accurate Material Description in Sheet Metal Forming
07/25/2021
POCI-01-0145-FEDER-031216RDFORMING - Robust Design of Sheet Metal Forming Processes to Reduce Productivity Losses
05/31/2022
POCI-01-0145-FEDER-031216Conceção Robusta de Processos de Conformação de Chapas Metálicas para Reduzir Perdas de Produtividade
05/31/2021
PTDC/EME-EME/31243/2017Modelação e simulação numérica do dano em chapas metálicas: abordagem acoplada com o comportamento anisotrópico e a assimetria tensão-compressão para a previsão da formabilidade
05/31/2021
PTDC/EME-EME/30592/2017Rumo ao projeto e à conformação virtuais: Caracterização termomecânica de aços de alto desempenho através de medidas de campo global e do desenvolvimento de um ensaio único
05/31/2021
PTDC/EME-APL/29713/2017SAFEFORMING - Intelligent System for Defect Prevention in Cold Stamping Components
Characterization of the Constitutive Behavior of Metal Sheets from a Single Multi-Path-Experimental-Test by Inverse Analysis
2014
PTDC/EME-TME/113410/2009Projecto Estratégico - UI 285 - 2011-2012
12/31/2012
PEst-C/EME/UI0285/2011Mechanical, wear and fatigue properties of sintered Nanotube-based functionally graded materials
2010
PTDC/EME-PME/68664/2006MT4MOBI – Materials and Technologies for Greener Manufacturing & Products Applied to Mobility
KYKLOS 4.0 - An Advanced Circular and Agile Manufacturing Ecosystem based on rapid reconfigurable manufacturing process and individualized consumer preferences
872570
https://cordis.europa.eu/project/id/872570?WT.mc_id=RSS-Feed&WT.rss_f=project&WT.rss_a=225877&WT.rs…
Toward virtual forming and design: Thermomechanical characterization of advanced high strength steels through full-field measurements and a single designed test
888153
Fabricação sustentável de veículos leves considerando os recursos e a reciclagem
Publicações
Uncertainty influence on the deep drawing of a cylindrical cup
André F.G. Pereira; Armando E. Marques; Daniel.J. Cruz; Marta C. Oliveira; Pedro A. Prates; Tomás G. Parreira
International Journal of Solids and Structures | 2026Deep Neural Network-Based Inverse Identification of the Mechanical Behavior of Anisotropic Tubes
Ali Khalfallah; Pedro Prates; Zied Ktari
Journal of Manufacturing and Materials Processing | 2025Demand Forecasting in the Automotive Industry: A Systematic Literature Review
Marco Pimpão; Nehalben Ranabhatt; Pedro Prates; Sérgio Barreto
Forecasting | 2025Limitations of Machine Learning in Predicting Material Parameters for Complex Constitutive Models
Andrade-Campos, Antonio; Mitreiro, Dário; Pedro A. Prates
IDDRG 2025 | 2025Predicting edge cracking in sheet metal forming: evaluating machine learning models and data transformations
José Contente; Pedro Prates
The International Journal of Advanced Manufacturing Technology | 2025Mesh Dependency Reduction When Using Machine Learning for Predicting Constitutive Parameters in Sheet Metal Forming
Andrade-Campos, Antonio; Mitreiro, Dário; Pedro A. Prates
MDPI Metals | 2025Reducing Mesh Dependency in Dataset Generation for Machine Learning Prediction of Constitutive Parameters in Sheet Metal Forming
António Andrade-Campos; Dário Mitreiro; Pedro A. Prates
Metals | 2025A comparison between FEM predictions and DIC results of crack tip displacement field in AA2024-T3 CT specimens
D.M. Neto; E.R. Sérgio; F.A. Díaz; F.V. Antunes; G.L. Gómez Gonzáles; J.M. Vasco-Olmo; P. Prates
Engineering Fracture Mechanics | 2025Numerical Study on Continuous-Bending-Under-Tension of 3rd Generation Steel
Gabriela Vincze; João F. A. Pereira; Marilena C. Butuc; Pedro A. Prates
Metals | 2025Evaluating the Impact of 3D Constitutive Models on Predictive Performance of XGBoost for Material Parameter Identification
A. Andrade-Campos; João Marques; Mitreiro, Dário; P. A. Prates; Pereira A.F.G.
28th International Conference on Material Forming - ESAFORM 2025 | 2025Uncertainty Analysis in Sheet Metal Forming Processes: Troubleshooting with Machine Learning.
Abel Santos; Cruz, Daniel J.; Diogo Neto; José Valdemar Bidarra Fernandes; Marta Cristina Cardoso Oliveira; Parreira, Tomás G.; Pedro A. Prates; Pereira A.F.G.
28th International Conference on Material Forming - ESAFORM 2025 | 2025Stress distribution analytical analysis in the vicinity of cooling channels during injection moulding
P.A. Prates
TEchMA 2025 – new frontiers in mechanical engineering International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions | 2025Machine Learning Application to the Identification of Sheet Metal Constitutive Model Parameters
Marques, Armando E.; Parreira, Tomás G.; Pedro A. Prates; Pereira A.F.G.; Ribeiro, Bernardete M.
Machine Learning for Computational Science and Engineering | 2024Machine learning applications in sheet metal constitutive Modelling: A review
Marques, Armando E.; Parreira, Tomás G.; Pereira, André F.G.; Prates, Pedro A.; Ribeiro, Bernardete M.
International Journal of Solids and Structures | 2024Influence of the Sheet Thickness Variability on the Deep Drawing of a Cylindrical Cup.
Oliveira M.C.; P. A. Prates; Parreira T.G.; Pereira A.F.G.
ESAFORM 2024 | 2024Identification of Sheet Metal Constitutive Parameters Using Metamodeling of the Biaxial Tensile Test on a Cruciform Specimen
André F. G. Pereira; Armando E. Marques; Nataliya A. Sakharova; Pedro A. Prates; Tomás G. Parreira
Metals | 2024SecFL – Secure Federated Learning Framework for predicting defects in sheet metal forming under variability
da Silveira Dib, Mario Alberto; Prates, Pedro; Ribeiro, Bernardete
Expert Systems with Applications | 2024Sensitivity Analysis of the Square Cup Forming Process Using PAWN and Sobol Indices
A. Sakharova, Nataliya; Marta Cristina Cardoso Oliveira; Parreira, Tomás G.; Pedro A. Prates; Pereira A.F.G.; Rodrigues ,D. C.
Metals | 2024Influence of data filtering and noise on the calibration of constitutive models using machine learning techniques
Andrade-Campos, Antonio; Henriques, João; Marques, João; P.A. Prates; Pereira, Andre; Pinto, José
2024VForm-xSteels: virtual materials database
Andrade-Campos, A.
ESAFORM 2024, 27th International ESAFORM Conference on Material Forming | 2024Bending of third generation steel: Experimental and numerical approach
ESPANHOL PEREIRA, Catarina Sofia
2024Effect of L-T and S-T orientations on fatigue crack growth in an aluminum 7050-T7451 plate
Antunes, Fernando V.; Borges, Micael F.; Branco, Ricardo; Jesus, Joel; Neto, Diogo M.; Prates, Pedro
Fatigue & Fracture of Engineering Materials & Structures | 2023Enhancing engineering education by means of the promotion of entrepreneurial mindsets and attitudes for societal challenges
et al; Gabriel, B. C.; Oliveira, J.; Prates, P.; Relvas, C.; Sousa, R.; Tavares, S.; Valente, R.
2023Coupling machine learning and synthetic image DIC-based techniques for the calibration of elastoplastic constitutive models
Prates, P.A.
2023Sensitivity analysis of the of the square cup stamping process using a polynomial chaos expansion
Pereira, A.F.G.
2023Applications of Machine Learning in Forming Processes
Frontiers in Mechanical Engineering | 2023
https://www.frontiersin.org/research-topics/60832/applications-of-machine-learning-in-forming-proce…
Influence of specimen orientation on fatigue crack growth in 7050-T7451 and 2050-T8 aluminium alloys
Antunes, F.V.; Antunes, P.V.; Borrego, L.P.; Branco, R.; Jesus, J.S.; Neto, D.M.; Prates, P.
International Journal of Fatigue | 2022Machine Learning for Predicting Fracture Strain in Sheet Metal Forming
Dib, Mario A.; Fernandes, José V.; Khalfallah, Ali; Marques, Armando E.; Oliveira, Marta C.; Prates, Pedro A.; Ribeiro, Bernardete M.; Soares, Martinho S.
Metals | 2022Recent Advances and Applications of Machine Learning in Metal Forming Processes
Pereira, Andre; Prates, Pedro
Metals | 2022On the applicability of the cumulative strain energy density for notch fatigue analysis under multiaxial loading
Berto, F.; Branco, R.; Costa, J.D.; Cruces, A.; Lopez-Crespo, P.; Prates, P.
Theoretical and Applied Fracture Mechanics | 2022Material Parameter Identification of Elastoplastic Constitutive Models Using Machine Learning Approaches
Andrade-Campos, Antonio; Bastos, Nelson; Prates, Pedro A.
Key Engineering Materials | 2022Variance-Based Sensitivity Analysis of the Biaxial Test on a Cruciform Specimen
Fernandes, José Valdemar; Oliveira, Marta C.; Pereira, André F.G.; Prates, Pedro A.
Key Engineering Materials | 2022On the Identification of Material Constitutive Model Parameters Using Machine Learning Algorithms
Marques, Armando; Pereira, Andre; Prates, Pedro A.; Ribeiro, Bernardete
Key Engineering Materials | 2022Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
Aksen, Toros Arda; Alves, José L.; Amaral, Rui L.; Betaieb, Ehssen; Chandola, Nitin; Corallo, Luca; et al; Habraken, Anne Marie
International Journal of Material Forming | 2022On the inverse identification methods for forming plasticity models using full-field measurements
Andrade-Campos, A; Bastos, N; Conde, M; et al; Gonçalves, M; Henriques, J; Lourenço, R; Martins, J M P
IOP Conference Series: Materials Science and Engineering | 2022Load sequence effects and cyclic deformation behaviour of 7075-T651 aluminium alloy
A. Mateus; C. Pereira; F. Berto; J.D. Costa; P.A. Prates; R. Branco
International Journal of Fatigue | 2022On the Development of Dataset Supported Strategies for the Constitutive Parameters Identification of Metal Sheets
Fernandes, J.; Pereira, A.; Prates, P.; Sakharova, N.
2022Machine Learning for the Prediction of Edge Cracking in Sheet Metal Forming Processes
Fernandes, José V.; Fonseca, Ana R.; Marques, Armando E.; Oliveira, Marta C.; Prates, Pedro A.; Ribeiro, Bernardete M.; Soares, Martinho S.
Machine Learning and Artificial Intelligence with Industrial Applications | 2022Final Report of the Project - Easy-to-Use Strategy for the Accurate Material Description in Sheet Metal Forming
P. A. Prates; Pereira A.F.G.
2022Notch fatigue analysis and crack initiation life estimation of maraging steel fabricated by laser beam powder bed fusion under multiaxial loading
C. Capela; F. Berto; J.A. Martins Ferreira; J.D. Costa; P.A. Prates; R. Branco
International Journal of Fatigue | 2021Fatigue crack propagation analysis in 2024-T351 aluminium alloy using nonlinear parameters
B. Moreno; D. Camas; D.M. Neto; F.V. Antunes; M.F. Borges; P. Lopez-Crespo; P. Prates
International Journal of Fatigue | 2021Improving Federated Learning Protection with Digital Envelopes.
B.M. Ribeiro; M.A. Dib; P.A. Prates
27ª Conferência Portuguesa de Reconhecimento de Padrões (RECPAD 2021) | 2021Melhorando a Protecção da Aprendizagem Federada com Envelopes Digitais
B.M. Ribeiro; M.A. Dib; P.A. Prates
XXII Congresso Nacional da Ordem dos Engenheiros | 2021Effect of input variables uncertainty in free tube hydroforming process
Fernandes, José Valdemar; Khalfallah, Ali; Prates, Pedro André
ESAFORM 2021 | 2021Numerical study of the square cup stamping process: a stochastic analysis
Fernandes, José Valdemar; Oliveira, Marta Cristina; Pereira, André Filipe Gomes; Prates, Pedro André; Ruivo, Miguel Fernandes
ESAFORM 2021 | 2021Mechanical design of ring tensile specimen via surrogate modelling for inverse material parameter identification
Khalfallah, Ali; Ktari, Zied; Leitão, Carlos; Prates, Pedro A.
Mechanics of Materials | 2021Enhancing Data Integrity, Confidentiality and Authenticity with Digital Envelopes and Federated Learning
B.M. Ribeiro; M.A. Dib; P.A. Prates
Computational Science and AI in Industry (CSAI 2021) | 2021Recent Advances and Applications of Machine Learning in Metal Forming Processes
P.A. Prates
MDPI | 2021https://www.mdpi.com/journal/metals/special_issues/machine_learning_forming
Federated Learning as a Privacy-Providing Machine Learning for Defect Predictions in Smart Manufacturing
da Silveira Dib, Mario Alberto; Prates, Pedro; Ribeiro, Bernardete
Smart and Sustainable Manufacturing Systems | 2021Machine learning for predicting defects in sheet metal forming under uncertainty
André F. G. Pereira; Armando José Eusébio Marques (E41E-8C25-FF13); Bernardete Ribeiro (3F19-1A9B-3803); Fernandes, José Valdemar; Marta Cristina Cardoso de Oliveira; P.A. Prates
WCCM 2020, 14th World Congress in Computational Mechanics | 2021Influence of the mesh size on plastic CTOD
B. Moreno; D. Camas; F. Díaz; F.V. Antunes; J.M. Vasco-Olmo; P.A. Prates
IbCSI 2020, 5th Iberian Conference on Structural Integrity | 2021Numerical Prediction of the Fatigue Crack Growth Rate in SLM Ti-6Al-4V Based on Crack Tip Plastic Strain
Diogo M. Neto; Fábio F. Ferreira; Fernando V. Antunes; Joel S. Jesus; Pedro A. Prates
Metals | 2020Fatigue Crack Growth from Notches: A Numerical Analysis
Fernando Antunes; Manuel Caldas; Micael Borges; Pedro Prates; Ricardo Branco
Applied Sciences | 2020A Mixed Experimental-numerical Energy-based Approach for Fatigue Life Assessment in Notched Samples under Multiaxial Loading
., D. Costa; ., F. Nogueira; ., P. Prates; ., V. Antunes; Branco, Ricardo
KnE Engineering | 2020Numerical Study on the Forming Behaviour of Multilayer Sheets
André F. G. Pereira; Armando E. Marques; José V. Fernandes; Marta C. Oliveira; Nataliya A. Sakharova; Pedro A. Prates
Metals | 2020Inverse identification of the work hardening law from circular and elliptical bulge tests
Fernandes, J.V.; Oliveira, M.C.; Pereira, A.F.G.; Prates, P.A.
Journal of Materials Processing Technology | 2020Performance Comparison of Parametric and Non-Parametric Regression Models for Uncertainty Analysis of Sheet Metal Forming Processes
Fernandes, José V.; Marques, Armando E.; Oliveira, Marta C.; Pereira, André F. G.; Prates, Pedro A.; Ribeiro, Bernardete M.
Metals | 2020Numerical Study on the Variability of Plastic CTOD
Armando Eusébio Marques; Fernando Ventura Antunes; Micael Frias Borges; Pedro André Prates; Ricardo Madeira Branco
Materials | 2020Effect of Young's modulus on fatigue crack growth
Antunes, F.V.; Borges, M.F.; Branco, R.; Prates, P.A.; Vojtek, T.
International Journal of Fatigue | 2020Effect of Kinematic Hardening Parameters on Fatigue Crack Growth
Antunes, FV; Borges, MF; Branco, R; Cruces, A.S.; Lopez-Crespo, P.; Prates, PA
Theoretical and Applied Fracture Mechanics | 2020A numerical study of the effect of isotropic hardening parameters on mode I fatigue crack growth
Antunes, F.V.; Borges, M.F.; Branco, R.; Prates, P.A.
Metals | 2020http://www.scopus.com/inward/record.url?eid=2-s2.0-85078822138&partnerID=MN8TOARS
Model for fatigue crack growth analysis
Antunes, F V; Borges, M F; Branco, R; Díaz, F.A.; Prates, P; Vasco-Olmo, J.M.
1st Virtual Conference on Structural Integrity - VCSI1 | 2020Single and ensemble classifiers for defect prediction in sheet metal forming under variability
Dib, M. A.; Fernandes, J. V.; Marques, A. E.; Oliveira, M. C.; Oliveira, N. J.; Prates, P. A.; Ribeiro, B. M.
Neural Computing and Applications | 2019Analytical sensitivity matrix for the inverse identification of hardening parameters of metal sheets
Fernandes, J.V.; Oliveira, M.C.; Pereira, A.F.G.; Prates, P.A.
European Journal of Mechanics - A/Solids | 2019Comparing metamodeling techniques for variability analysis in sheet metal forming processes
Fernandes, J. V.; Marques, A. E.; Oliveira, M. C.; Prates, P. A.
22nd Conference of the European Scientific Association on Material Forming (ESAFORM 2019) | 2019Rapid assessment of multiaxial fatigue lifetime in notched components using an averaged strain energy density approach
A. Kotousov; F. Berto; F.V. Antunes; J.D. Costa; L.P. Borrego; P.A. Prates; Prates, Pedro; R. Branco
International Journal of Fatigue | 2019Mixed numerical-experimental method for generation of energy-life fatigue master curves
Antunes, Fernando; Berto, Filippo; Branco, Ricardo; Costa, Jose; Prates, Pedro
Material Design & Processing Communications | 2019Elastic correction of fatigue crack growth laws
Antunes, Fernando; Camas, Daniel; Costa, Jose; Prates, Pedro
Fatigue & Fracture of Engineering Materials & Structures | 2019Fatigue crack growth in notched specimens: a numerical analysis
Antunes, FV; Branco, R; Costa, JD; Prates, Pedro
Frattura ed Integrità Strutturale | 2019Normal stress components during shear tests of metal sheets
A.F.G. Pereira; Fernandes, JV; J.V. Fernandes; M.C. Oliveira; Oliveira, MC; P.A. Prates; Pereira, A. F. G.; Prates, Pedro
International Journal of Mechanical Sciences | 2019Effect of yield stress on fatigue crack growth
Antunes, F.V.; Borges, M.F.; Branco, R.; Oliveira, M.C.; Prates, P.
Frattura ed Integrita Strutturale | 2019http://www.scopus.com/inward/record.url?eid=2-s2.0-85073446827&partnerID=MN8TOARS
Numerical prediction of fatigue threshold of metallic materials in vacuum
Antunes, F.V.; Camas, D.; Gardin, C.; Prates, P.A.; Sarrazin-Baudoux, C.
Engineering Fracture Mechanics | 2019http://www.scopus.com/inward/record.url?eid=2-s2.0-85066112375&partnerID=MN8TOARS
Fatigue crack growth in maraging steel obtained by Selective Laser Melting
Antunes, F.; Capela, C.; Costa, J.; Ferreira, J.; Jesus, J.; Prates, P.; Santos, L.
Applied Sciences (Switzerland) | 2019http://www.scopus.com/inward/record.url?eid=2-s2.0-85074175988&partnerID=MN8TOARS
Fatigue crack growth versus plastic CTOD in the 304L stainless steel
Antunes, F.V.; Branco, R.; Ferreira, M.S.C.; Gardin, C.; Prates, P.; Sarrazin-Baudoux, C.
Engineering Fracture Mechanics | 2019http://www.scopus.com/inward/record.url?eid=2-s2.0-85064542845&partnerID=MN8TOARS
Multiaxial fatigue life evaluation in notched components via a rapid elastic-plastic TSED approach
F.V. Antunes; J. Cunha; J.D. Costa; P.A. Prates; R.M. Branco
First International Symposium on Risk Analysis and Safety of Complex Structures and Components (IRAS 2019) | 2019Machine Learning-based Approach for Predicting Defects under Uncertainty in Sheet Metal Forming Processes
A.E. Marques; B.M. Ribeiro; J.V. Fernandes; M.A. Dib; M.C. Oliveira; N.J. Oliveira; P.A. Prates
ECCOMAS Computational Methods in Multi-scale, Multi-uncertainty and Multi-physics Problems (CM4P) | 2019Numerical study on hole expansion tests of metal sheets
A.E. Marques; J.V. Fernandes; M.C. Oliveira; P.A. Prates
Congress on Numerical Methods in Engineering (CMN2019) | 2019A mixed experimental-numerical energy-based approach for fatigue life assessment in notched samples under multiaxial loading
F. Nogueira; F.V. Antunes; J. Cunha; J.D. Costa; P.A. Prates; R. Branco
International Congress on Engineering (ICEUBI2019) | 2019Hole Expansion Tests of Metal Sheets: Numerical Study
A.E. Marques; J.V. Fernandes; M.C. Oliveira; P.A. Prates
3rd Doctoral Congress in Engineering (DCE19) | 2019Crack tip mechanisms: a numerical analysis
Antunes, F.V.; Borges, M.F.; Branco, R.; Marques, B.; Prates, P.
9th International Conference on Materials Structure and Micromechanics of Fracture | 2019A Mixed Experimental-numerical Energy-based Approach for Fatigue Life Assessment in Notched Samples under Multiaxial Loading
., D. Costa; ., F. Nogueira; P.A. Prates; Ricardo Madeira Branco
International Congress on Engineering — Engineering for Evolution | 2019Evaluation of ensemble methods for predicting defects in sheet metal forming
Oliveira, Nelson; P.A. Prates; Prates, Pedro; Ribeiro, Bernardete
24th Portuguese Conference on Pattern Recognition (RECPAD 2018) | 2018Numerical determination of plastic CTOD
Antunes, F.V.; Díaz, F.A.; Prates, P.; Vasco-Olmo, J.M.
Fatigue and Fracture of Engineering Materials and Structures | 2018http://www.scopus.com/inward/record.url?eid=2-s2.0-85050955674&partnerID=MN8TOARS
New methodology of fatigue life evaluation for multiaxially loaded notched components based on two uniaxial strain-controlled tests
Berto, F.; Branco, R.; Costa, J.D.; Kotousov, A.; Prates, P.A.
International Journal of Fatigue | 2018http://www.scopus.com/inward/record.url?eid=2-s2.0-85042721065&partnerID=MN8TOARS
Fatigue crack growth in the 2050-T8 aluminium alloy
Antunes, F.V.; Branco, R.; Prates, P.; Serrano, S.
International Journal of Fatigue | 2018http://www.scopus.com/inward/record.url?eid=2-s2.0-85044869886&partnerID=MN8TOARS
Numerical study on the effect of mechanical properties variability in sheet metal forming processes
Adaixo, A.S.; Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.
International Journal of Advanced Manufacturing Technology | 2018http://www.scopus.com/inward/record.url?eid=2-s2.0-85040943572&partnerID=MN8TOARS
Model Prediction of Defects in Sheet Metal Forming Processes
Dib, Mario; Prates, Pedro; Ribeiro, Bernardete
Communications in Computer and Information Science | 2018Analysis of fatigue crack growth based on plastic CTOD
Antunes, F.V.; Branco, R.; Prates, Pedro
19th International Colloquium on Mechanical Fatigue of Metals | 2018New CTOD criterion for fatigue crack propagation analysis in 2024-t351 aluminium alloy
Antunes, F.V.; Camas, D.; Prates, Pedro
XXXV Encuentro del Grupo Español de Fractura | 2018Analysis of fatigue crack propagation in sintered material based on plastic CTOD
Antunes, FV; Capela, C; Costa, JM; Ferreira, JAM; Jesus, JS; Martins, M; Prates, Pedro; Santos, LMS
XVI Portuguese Conference on fracture (PCF 2018) | 2018Evaluation of ensemble methods for predicting defects in sheet metal forming
P.A. Prates
24th Portuguese Conference on Pattern Recognition (RECPAD 2018) | 2018Fatigue crack growth modelling based on CTOD for the 7050-T6 alloy
Antunes, F.V.; Borrego, L.; Branco, R.; Prates, P.A.
Fatigue and Fracture of Engineering Materials and Structures | 2017http://www.scopus.com/inward/record.url?eid=2-s2.0-85011117035&partnerID=MN8TOARS
Anisotropy and plastic flow in the circular bulge test
Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.; Reis, L.C.; Santos, A.D.
International Journal of Mechanical Sciences | 2017http://www.scopus.com/inward/record.url?eid=2-s2.0-85018661108&partnerID=MN8TOARS
Inverse identification of the Swift law parameters using the bulge test
Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.; Reis, L.C.; Santos, A.D.
International Journal of Material Forming | 2017http://www.scopus.com/inward/record.url?eid=2-s2.0-84964510284&partnerID=MN8TOARS
Effect of numerical parameters on plastic CTOD
Antunes, F.V.; Branco, R.; Prates, P.; Simões, R.
Frattura ed Integrita Strutturale | 2017http://www.scopus.com/inward/record.url?eid=2-s2.0-85021935373&partnerID=MN8TOARS
Multiaxial fatigue life prediction in notched samples based on fatigue master curves generated from two strain-controlled tests
Antunes, F.V.; Berto, F.; Branco, R.; Costa, J.D.; Prates, Pedro
International Conference on Engineering – A Vision for the Future (ICEUBI 2017) | 2017On the influence of mechanical properties variability in the robustness of sheet metal forming processes
Adaixo, A.S.; Fernandes, J.V.; Oliveira, M.C.; Pereira, A.F.G.; Prates, Pedro
ECCOMAS Thematic Conference on Computational Modelling of Multi-Uncertainty and Multiscale Problems (COMUS17) | 2017Identification of the work hardening parameters using the bulge test with elliptical and circular dies
Fernandes, J.V.; Oliveira, M.C.; Pereira, A.F.G.; Prates, Pedro
2nd Doctoral Congress in Engineering (DCE17) | 2017Comparison of machine learning algorithms to build a model for predicting defects in sheet metal forming processes
Dib, M.; Prates, Pedro; Ribeiro, B.
2017https://www.cisuc.uc.pt/ckfinder/userfiles/files/TR%202017-03(1).pdf
Inverse Strategies for Identifying the Parameters of Constitutive Laws of Metal Sheets
Fernandes, J.V.; Oliveira, M.C.; Pereira, A.F.G.; Prates, P.A.; Sakharova, N.A.
Advances in Materials Science and Engineering | 2016http://www.scopus.com/inward/record.url?eid=2-s2.0-84990841999&partnerID=MN8TOARS
Identification of material parameters for thin sheets from single biaxial tensile test using a sequential inverse identification strategy
Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.
International Journal of Material Forming | 2016http://www.scopus.com/inward/record.url?eid=2-s2.0-84929438709&partnerID=MN8TOARS
Numerical determination of fatigue threshold from CTOD
Antunes, F.; Camas, D.; Loureiro, P.; Prates, P.
8th International Conference on Materials Structure & Micromechanics of Fracture (MSMF8) | 2016Metodologia para determinação simultânea de parâmetros de leis constitutivas de chapas metálicas anisotrópicas, com recurso a um único ensaio
Prates, Pedro
Ingenium - Ordem dos Engenheiros | 2015On the equivalence between sets of parameters of the yield criterion and the isotropic and kinematic hardening laws
Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.
International Journal of Material Forming | 2015http://www.scopus.com/inward/record.url?eid=2-s2.0-84941172421&partnerID=MN8TOARS
On the identification of kinematic hardening with reverse shear test
Fernandes, J.V.; Oliveira, M.C.; Pereira, A.F.G.; Prates, P.A.; Sakharova, N.A.
Engineering with Computers | 2015http://www.scopus.com/inward/record.url?eid=2-s2.0-84941413636&partnerID=MN8TOARS
Inverse Methodologies for Identifying Constitutive Parameters of Metal Sheets
Prates, Pedro
Universidade de Coimbra | 2014A new strategy for the simultaneous identification of constitutive laws parameters of metal sheets using a single test
Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.
Computational Materials Science | 2014http://www.scopus.com/inward/record.url?eid=2-s2.0-84892767776&partnerID=MN8TOARS
Inverse analysis methodology on metal sheets for constitutive parameters identification
Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.; Sakharova, N.A.
International Journal of Materials Engineering Innovation | 2013http://www.scopus.com/inward/record.url?eid=2-s2.0-84879028539&partnerID=MN8TOARS
How to combine the parameters of the yield criteria and the hardening law
Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.; Sakharova, N.A.
16th Conference of the European Scientific Association on Material Forming (ESAFORM 2013) | 2013Methodology for Constitutive Parameters Identification of Metal Sheets with a Biaxial Tensile Test on a Flat Cruciform Specimen
Fernandes, José Valdemar; M.C. Oliveira; N.A. Sakharova; P.A. Prates
YIC 2012, First ECCOMAS Young Investigators Conference on Computational Methods in Applied Sciences | 2012A simple method for estimation of residual stresses by depth-sensing indentation
Antunes, J.M.; Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.; Sakharova, N.A.
Strain | 2012http://www.scopus.com/inward/record.url?eid=2-s2.0-84856602116&partnerID=MN8TOARS
Inverse analysis for constitutive parameters identification of metal sheets using a single test
Fernandes, J.V.; Oliveira, M.C.; Prates, Pedro; Sakharova, N.A.
15th International Conference on Experimental Mechanics (ICEM 15) | 2012Inverse analysis methodology for constitutive parameters identification of metal sheets with a biaxial tensile test on a flat cruciform specimen
Fernandes, J.V.; Oliveira, M.C.; Prates, Pedro; Sakharova, N.A.
ECCOMAS Young Investigators Conference on Computational Methods in Applied Sciences (YIC 2012) | 2012Numerical Study of Mechanical Behaviour of Heterogeneous Materials
Branco, Rui M.; Fernandes, J. Valdemar; Oliveira, Marta C.; Prates, Pedro; Sakharova, Nataliya A.
VI International Materials Symposium (MATERIALS 2011) | 2011Plastic deformation of heterogeneous materials: Numerical simulation study
Branco, R.M.; Fernandes, J.V.; Oliveira, M.C.; Prates, P.A.; Prates, Pedro; Sakharova, N.A.
XI International Conference on Computational Plasticity (COMPLAS XI) | 2011Inverse analysis methodology for constitutive parameters identification of metal sheets using a cruciform tensile specimen
Fernandes, J.V.; Oliveira, M.C.; Prates, Pedro; Sakharova, N.A.
Congresso de Métodos Numéricos e Computacionais em Engenharia (CMNE 2011) | 2011Caracterização do comportamento plástico de chapas metálicas com recurso ao ensaio de expansão biaxial simétrica
Fernandes, J.V.; Oliveira, M.C.; Prates, Pedro; Reis, L.C.; Sakharova, N.A.
Congresso de Métodos Numéricos e Computacionais em Engenharia (CMNE 2011) | 2011Estudo numérico sobre o comportamento mecânico de materiais heterogéneos
Branco, Rui M.; Fernandes, J.V.; Oliveira, M.C.; Prates, Pedro; Sakharova, N.A.
Congresso de Métodos Numéricos e Computacionais em Engenharia (CMNE 2011) | 2011Metodologia de Análise Inversa para a Identificação Simultânea dos Parâmetros de Leis Constitutivas, com Recurso a um Provete Cruciforme
Prates, Pedro
1º SIMPÓSIO CEMUC | 2011Metodologia de Análise Inversa para Determinação Simultânea dos Parâmetros de Leis Constitutivas, com Recurso a um Provete Cruciforme
Prates, Pedro
Universidade de Coimbra | 2010On the characterization of the plastic anisotropy in orthotropic sheet metals with a cruciform biaxial test
Fernandes, J.V.; Menezes, L.F.; Oliveira, M.C.; Prates, P.A.; Sakharova, N.A.
WCCM | 2010