帧(网络)
不确定度量化
结构工程
力矩(物理)
钢筋混凝土
情态动词
地震灾害
蒙特卡罗方法
相关性(法律)
工程类
计算机科学
数学
土木工程
统计
政治学
物理
材料科学
法学
电信
经典力学
高分子化学
作者
Daniela Novoa,Orlando Arroyo,Juan Carlos Obando,Diego López-García,Julián Carrillo
标识
DOI:10.1080/13632469.2024.2447828
摘要
Reinforced Concrete Moment Resisting Frames (RCMRFs) are widely used in seismic hazard regions, but recent events have highlighted the significant impact of Nonstructural Components (NSCs) on repair costs. NSC behavior has become an active area of research, yet epistemic uncertainty stemming from material variability is often overlooked. This study explores the effects of epistemic uncertainty on RCMRFs and NSCs using Monte Carlo simulations in OpenSeesPy. Results show that concrete strength affects slight-moderate damage probabilities, while steel yielding stress impacts severe-collapse probabilities. Epistemic uncertainty introduces multi-modal behavior in the distribution of maximum acceleration of NSC, highlighting its relevance for performance assessment.
科研通智能强力驱动
Strongly Powered by AbleSci AI