2023
DOI: 10.1016/j.compstruct.2022.116618
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Objective and automated calibration of progressive damage models for finite element simulation of fiber reinforced composites

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Cited by 11 publications
(4 citation statements)
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“…physical quantities, can be obtained [47]. FEM simulations are widely used in various fields, including structural mechanics, heat conduction, fluid mechanics, electromagnetics, and multi-physics coupling problems [48][49][50][51]. FEM provides powerful tools for engineering design, material analysis, performance optimization, and fault diagnosis.…”
Section: Finite Element Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…physical quantities, can be obtained [47]. FEM simulations are widely used in various fields, including structural mechanics, heat conduction, fluid mechanics, electromagnetics, and multi-physics coupling problems [48][49][50][51]. FEM provides powerful tools for engineering design, material analysis, performance optimization, and fault diagnosis.…”
Section: Finite Element Methodsmentioning
confidence: 99%
“…By solving the system of equations in the model, the response of the structure or system, such as displacements, stresses, strains, and other relevant physical quantities, can be obtained [ 47 ]. FEM simulations are widely used in various fields, including structural mechanics, heat conduction, fluid mechanics, electromagnetics, and multi-physics coupling problems [ 48 , 49 , 50 , 51 ]. FEM provides powerful tools for engineering design, material analysis, performance optimization, and fault diagnosis.…”
Section: Models and Simulation For Dwsmentioning
confidence: 99%
“…In GA, selection, crossover, and mutation are the primary genetic operators utilised to achieve optimisation. For more specific details about GA parameters and implementation, please refer to [24].…”
Section: Genetic Algorithmmentioning
confidence: 99%
“…When computationally efficient FE models are considered, data-driven calibration techniques have shown significant potential in providing a transparent and objective means of determining optimal input parameters. Examples include the use of machine learning methods [22,23] and the application of genetic algorithms (GA) [24,25].…”
Section: Introductionmentioning
confidence: 99%