{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gomez-Garraza S"],"funding":["Madrid Community","Ministerio de Cultura y Deporte","Generalitat Valenciana and European Social Fund","Ministerio de Ciencia e Innovación","Universitat Politècnica de València","Madrid Community (Spain)"],"pagination":["18026"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11298554"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(1)"],"pubmed_abstract":["Ballistic impacts on human thorax without penetration can produce severe injuries or even death of the carrier. Soft tissue finite element models must capture the non-linear elasticity and strain-rate dependence to accurately estimate the dynamic human mechanical response. The objective of this work is the calibration of a visco-hyperelastic model for soft tissue simulants. Material model parameters have been calculated by fitting experimental stress-strain relations obtained from the literature using genetic algorithms. Several parametric analyses have been carried out during the definition of the optimization algorithm. In this way, we were able to study different optimization strategies to improve the convergence and accuracy of the final result. Finally, the genetic algorithm has been "],"journal":["Scientific reports"],"pubmed_title":["Visco-hyperelastic material model fitting to experimental stress-strain curves using a genetic algorithm and its application to soft tissue simulants."],"pmcid":["PMC11298554"],"funding_grant_id":["CIAPOS/2021/271","IND2020/IND-17413","PID2020-118480RB-C21","PAID-PD-22","EXP_75127"],"pubmed_authors":["Infante-Garcia D","Gomez-Garraza S","Marco M","de Santos R"],"additional_accession":[]},"is_claimable":false,"name":"Visco-hyperelastic material model fitting to experimental stress-strain curves using a genetic algorithm and its application to soft tissue simulants.","description":"Ballistic impacts on human thorax without penetration can produce severe injuries or even death of the carrier. Soft tissue finite element models must capture the non-linear elasticity and strain-rate dependence to accurately estimate the dynamic human mechanical response. The objective of this work is the calibration of a visco-hyperelastic model for soft tissue simulants. Material model parameters have been calculated by fitting experimental stress-strain relations obtained from the literature using genetic algorithms. Several parametric analyses have been carried out during the definition of the optimization algorithm. In this way, we were able to study different optimization strategies to improve the convergence and accuracy of the final result. Finally, the genetic algorithm has been ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2025-04-05T15:02:44.256Z","creation":"2025-02-19T04:40:52.393Z"},"accession":"S-EPMC11298554","cross_references":{"pubmed":["39098981"],"doi":["10.1038/s41598-024-67603-8"]}}