ABSTRACT

A new technique is proposed for online model identification and updating in multi-platform pseudo-dynamic simulation of steel structures which brings novelty through eliminating the need for optimization during the identification stage of material/section behavior. Furthermore, the proposed procedure requires no prior information about the updated component of the numerical substructure and free of backward inconsistency. The efficiency of the proposed online model updating procedure is investigated by fourteen simulations which have real physical experimental substructures. A three span, small-scale bridge model with different pier heights is selected as the investigated structure. The simulations are performed under two different types of dynamic loads: instantaneous constant loading and strong ground motion records. The repeatability of tests, the effects of strong ground motion records and different pier heights are investigated. Furthermore completely numerical dynamic analyses with advanced models are also performed for comparison purposes. The results demonstrated that the proposed online model identification and updating procedure can be used with sufficient precision in multi-platform pseudo-dynamic simulations of steel structures.

摘要

提出了一种用于钢结构多平台伪动力模拟中的在线模型识别和更新的新技术，该技术通过消除材料/截面行为识别阶段的优化需求而带来了新颖性。此外，所提出的程序不需要关于数值子结构的更新组件的先验信息，并且没有后向不一致。所提出的在线模型更新程序的效率通过十四个具有真实物理实验子结构的模拟来研究。选择不同墩高的三跨小型桥梁模型作为研究结构。模拟是在两种不同类型的动态载荷下进行的：瞬时恒定载荷和强烈的地面运动记录。测试的可重复性，研究了强地震动记录和不同码头高度的影响。此外，出于比较目的，还使用高级模型进行了完全数值动态分析。结果表明，所提出的在线模型识别和更新程序可以在钢结构的多平台伪动力模拟中具有足够的精度。