摘要
在线数值模拟方法是一种基于模型更新的混合试验方法,其是不完整边界条件混合试验的通用解决方案。在该方法中:结构反应由结构整体数值模型计算得到,边界条件自然得以满足;物理子结构的恢复力不再参与运动方程的求解,而是用于估计数值模型的本构参数,提高了数值模型的可靠性。论文提出多本构模型参数同步更新的在线数值模拟方法,以提高多种本构模型参数不确定性同时存在时在线数值模拟方法的精度,并以Levenberg-Marquardt算法为参数估计方法,实现了采用恢复力对钢筋和混凝土材料本构模型参数的同步估计。研究表明:以恢复力来估计材料本构模型参数是可行的,且Levenberg-Marquardt算法具有较高的收敛速度和计算精度;在线数值模拟方法有效地提高了混合试验的模拟精度。
Online numerical simulation(ONS)is a model updating-based hybrid simulation method,which is a general solution to hybrid simulation with incomplete boundary conditions.In ONS,the structural response is calculated by the overall structural numerical model,and the incomplete boundary conditions are naturally satisfied.The restoring force of physical substructure is no longer involved in solving the equation of motion,but is used to estimate the constitutive parameters of the numerical model.Thus,the reliability of the numerical model is improved.This paper proposed an ONS method based on multi-constitutive model simultaneous updating to improve the accuracy of ONS when multiple uncertainties exist in the numerical model at the same time.The Levenberg-Marquardt algorithm is employed to simultaneously estimate the constitutive model parameters of reinforcement bar and concrete materials using restoring force.The results show that it is feasible to estimate the parameters of the material constitutive model by the restoring force,and the Levenberg-Marquardt algorithm exhibits higher convergence speed and calculation accuracy.Moreover,ONS method can effectively improve the accuracy of the hybrid simulation.
作者
刘天姿
黄伟
宁西占
叶恒博
王国元
LIU Tianzi;HUANG Wei;NING Xizhan;YE Hengbo;WANG Guoyuan(College of Civil Engineering,Huaqiao University,Xiamen 361021,China;Key Laboratory of Earthquake Engineering and Engineering Vibration,Institute of Engineering Mechanics,China Earthquake Administration,Harbin 150080,China;Wuhu Transportation Investment Co.,Ltd.,Wuhu 241011,China)
出处
《世界地震工程》
北大核心
2023年第4期142-148,共7页
World Earthquake Engineering
基金
中国地震局工程力学研究所基本科研业务费专项资助项目(2020D14)
国家自然科学基金(51908231)
福建省自然科学基金(2020J01058)。
