Probabilistic-based discrete model for the seismic fragility assessment of masonry structures

砖石建筑 脆弱性 拉丁超立方体抽样 概率逻辑 结构工程 均质化(气候) 有限元法 计算机科学 无筋砌体房屋 工程类 数学 蒙特卡罗方法 物理 生物多样性 统计 热力学 人工智能 生物 生态学
作者
Luís C. Silva,Gabriele Milani,Paulo B. Lourénço
出处
期刊:Structures [Elsevier BV]
卷期号:52: 506-523 被引量:13
标识
DOI:10.1016/j.istruc.2023.04.015
摘要

Classical Finite-Element and Discrete-Element strategies are expensive to carry when analysing masonry structures in the inelastic range, under a seismic excitation, and considering uncertainty. Their application to the seismic fragility assessment of masonry structures through non-linear time-history analysis becomes thus a challenge. The paper addresses such difficulty by presenting an alternative probabilistic-based numerical strategy. The strategy couples a discrete macro-element model at a structural-scale with a homogenization model at a meso-scale. A probabilistic nature is guaranteed through a forward propagation of uncertainty through loading, material, mechanical, and geometrical parameters. An incremental dynamic analysis is adopted, in which several assumptions decrease the required computational time-costs. A random mechanical response of masonry is provided by numerical homogenization, using Latin hypercube sampling with a non-identity correlation matrix, and only a reduced number of representative random samples are transferred to the macro-scale. The approach was applied to the seismic fragility assessment of an English-bond masonry mock-up. Its effectiveness was demonstrated, and its computational attractiveness highlighted. Results may foster its use within the seismic fragility assessment of larger structures, and the opportunity to better analyze the effect of material and geometric-based uncertainties in the stochastic dynamic response of masonry structures.
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