面向混凝土全曲线力学响应的相场模型参数分段多目标优化策略OA

To address the high-dimensional multi-objective optimization challenge arising from the dependence of concrete fracture phase-field model parameters on empirical estimation or trial-and-error calibration,this study con-ducted a quantitative analysis of four solution parameters,including time-step,convergence tolerance,mesh size,and the ratio of mesh size to length scale.Furthermore,a piecewise multi-objective optimization framework was proposed toward the full-curve mechanical response of concrete,enabling the systematic optimization of solution parameters while simultaneously balancing model accuracy and computational efficiency.The results show that these four param-eters all have statistically significant effects on solution efficiency,with mesh size exhibiting more pronounced gradi-ent variations in goodness-of-fit metrics across the elastic,plastic,and softening stages,thereby making it the key computational parameter governing both the accuracy and efficiency of full-curve fitting.Further verification demon-strates that the framework maintains the consistent convergence direction of the optimal solution across different opti-mization algorithms,indicating good applicability and robustness.Compared with schemes targeting only fitting accu-racy,the overall computational efficiency of the model can be improved by more than 60%after an auxiliary optimiza-tion objective for solution efficiency is introduced within an allowable 5%reduction in accuracy.