高压物理学报2025，Vol.39Issue(11)：46-54,9.DOI:10.11858/gywlxb.20251195
面向动态载荷仿真高保真材料模型参数的优化与不确定度评估
Optimization and Uncertainty Quantification of High-Fidelity Material Model Parameters for Dynamic Loading Simulation
摘要
Abstract
Systematic construction,optimization,and validation of high-fidelity material models are crucial for dynamic load simulations.This study details a methodology for building and validating such models on the Dayu Digital Platform.First,a parameterized equation of state(EOS)framework is constructed,integrating all available experimental data with associated uncertainties.Global optimization methods are then employed to determine the optimal EOS parameters.Second,the optimized EOS is coupled with a constitutive model containing undetermined parameters.One-dimensional or two-dimensional numerical simulations are conducted,reproducing experimental conditions.Optimization algorithms iteratively adjust the constitutive model parameters to achieve a globally optimal match between simulated waveforms and experimental waveforms,thereby precisely calibrating the constitutive parameters.Finally,the optimized EOS and calibrated constitutive model are integrated to form a complete material model,and standardized interfaces are developed for both in-house and commercial simulation software.The validation of material models is accomplished by comparing simulated predictions under new experimental conditions with experimental results.Within this process,the optimization of theoretical model parameters constrained by experimental data is achieved using the self-developed novel importance cross-optimization(ICON)algorithm.The uncertainty in material model parameters and its propagation to computed physical quantities are rigorously quantified using a self-developed Bayesian uncertainty quantification(UQ)program.关键词
材料模型/高压物性/参数优化/不确定度评估Key words
material model/high-pressure physical properties/parameter optimization/uncertainty assessment分类
数理科学引用本文复制引用
向士凯,咸蕴庭,武润,孙毅,甘元超,耿华运,罗国强,张建,张睿智..面向动态载荷仿真高保真材料模型参数的优化与不确定度评估[J].高压物理学报,2025,39(11):46-54,9.基金项目
国家重点研发计划(2021YFB3802300) （2021YFB3802300）
国家自然科学基金(12372370) （12372370）
