arrow
返回

Hybrid data-driven hazard-consistent drift models for SMRF

delete2023-01-05
delete11
delete
OA
AI
F
Faridah Zahra
J
Jorge Macedo
C
Christian Málaga‐Chuquitaype *
DOI:10.1002/eqe.3807delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
The seismic design and assessment of steel moment resisting frames (SMRFs) rely heavily on drifts. It is unsurprising, therefore, that several simplified methods have been proposed to predict lateral deformations in SMRFs, ranging from the purely mechanics-based to the wholly data-driven, which aim to alleviate the structural engineer's burden of conducting detailed nonlinear analyses either as part of preliminary design iterations or during regional seismic assessments. While many of these methods have been incorporated in design codes or are commonly used in research, they all suffer from a lack of consideration of the causal link between the seismic hazard level and the ground-motion suite used for their formulation. In this paper, we propose hybrid data-driven models that preserve this critical relationship of hazard-consistency. To this end, we assemble a large database of non-linear response history analyses (NRHA) on 24 SMRFs of different structural characteristics. These structural models are subjected to 816 ground-motion records whose occurrence rates and spectral shapes are selected to ensure the hazard consistency of our outputs. Two sites with different seismic hazards are examined to enable comparisons under different seismic demands. An initial examination of the resulting drift hazard curves allows us to re-visit the influence of salient structural modelling assumptions such as plastic resistance, geometric configurations and joint deterioration modelling. This is followed by a machine learning (ML)-guided feature selection process that considers structural and seismic parameters as well as key static response features, hence the hybrid nature of our models. New models for inter-storey drift and roof displacements are then developed. A comparison with currently available formulations highlights the significant levels of overestimation associated with previously proposed non-hazard consistent models.
Keyword:
drift demands
earthquake engineering
hazard-consistent
ML
moment-resisting frames
steel
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

E
Earthquake Engineering and Structural Dynamics
IF:
5
论文数:
3.7K
被引数:
1.8W

机构

U
university system of georgia
学者数:
7.3W
论文数: 6.6W
被引数: 101
I
Imperial College London
学者数:
8.3W
论文数: 7.3W
被引数: 11.1W
引用论文

引用论文

err分享
err收藏
err分享
err收藏
学者 查看更多内容