Non-Dimensional Probabilistic Analysis of Seismic Pounding Between Flexible Structures and Rigid Boundaries

被引:0
作者
Altieri, Domenico [1 ]
Tubaldi, Enrico [2 ]
Barbato, Michele [3 ]
Patelli, Edoardo [2 ,4 ]
机构
[1] SUPSI, Dept Environm Construct & Design, ISAAC, Mendrisio, Switzerland
[2] Strathclyde Univ, Dept Civil & Environm Engn, Glasgow, Scotland
[3] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA USA
[4] Strathclyde Univ, Dept Civil & Environm Engn, 75 Montrose St Glasgow, Glasgow G1 1XJ, Scotland
基金
英国工程与自然科学研究理事会;
关键词
Pounding; impact forces; dimensional analysis; probabilistic seismic demand model; risk assessment; sensitivity analysis; FORCE RESPONSE SPECTRUM; SEPARATION DISTANCE; ISOLATED BUILDINGS; SIMULATION; RISK; BRIDGES; MODEL;
D O I
10.1080/13632469.2023.2297849
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Pounding between adjacent structures subjected to earthquake actions can cause significant damage. Due to the many uncertainties inherent to the seismic input and the impact phenomenon, a probabilistic assessment of the occurrence of seismic pounding and of its consequences on the structural performance is necessary. This work analyzes the problem of pounding by considering a single-degree-of-freedom benchmark system surrounded by rigid boundaries and subjected to a stochastic earthquake input. Although simplified, the model is representative of several realistic configurations, such as base-isolated systems surrounded by moat walls or bridge decks near the bridge abutments. The problem is cast in non-dimensional form and a parametric study is carried out to evaluate the influence of the identified non-dimensional input parameters on the statistics of the response. A probabilistic demand model is developed for the impact forces via non-linear regression, with the demand expressed as a function of the identified non-dimensional parameters. This model provides an estimate of median pounding force and of its dispersion given the seismic intensity of the input. Finally, global sensitivity analysis is used to rank the model parameters in terms of their influence on the system performance.
引用
收藏
页码:2310 / 2329
页数:20
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