东南大学学报（自然科学版）2024，Vol.54Issue(4)：877-884,8.DOI:10.3969/j.issn.1001-0505.2024.04.010
基于敏感性分析的降参模型更新混合模拟方法
Sensitivity analysis-based model updating hybrid simulation method using reduced-parameter technique
摘要
Abstract
Since sensitivity analyses have the problem of low efficiency or even inability to analyze when deal-ing with a large number of identification parameters,a hybrid simulation method for reduced-parameter models updating based on sensitivity analysis is proposed.It incorporates categorical sensitivity analysis and staged model updating to notably reduce the number of parameters analyzed and updated,enhancing parameter identi-fication efficiency.Taking the steel frame model as an example,8 model parameters are selected for analysis.The impact of the hybrid simulation updating in the reduced-parameter model with different sensitivity shares as the core parameter selection criteria is discussed,employing two parameter reduction strategies,respectively.The numerical simulation results indicate that the discrepancy between errors under two reduction strategies is less than 0.5％.Categorical and staged reduction strategies significantly decrease the computational burden of parameter identification and the number of convergence steps in comparison to full parametric strategy.Thus,the feasibility and effectiveness of the proposed method in enhancing the speed of hybrid simulation parameter identification are confirmed.关键词
混合模拟/分类敏感性分析/分阶段模型更新/参数识别/均匀设计Key words
hybrid simulation/categorical sensitivity analysis/staged model update/parameter identification/homogeneous design分类
建筑与水利引用本文复制引用
陈再现,刘铖,王纪伟,钟炜彭,李明刚..基于敏感性分析的降参模型更新混合模拟方法[J].东南大学学报（自然科学版）,2024,54(4):877-884,8.基金项目
国家自然科学基金资助项目(52078165). （52078165）
