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Validation of a Numerical Model for Novel Self-Centring Concentrically Braced Steel Frames

居中 结构工程 对角线的 支撑框架 撑杆 变形(气象学) 下部结构 计算机模拟 残余物 支撑 计算机科学 帧(网络) 工程类 地质学 数学 模拟 海洋学 算法 电信 几何学
作者
Gerard J. O’Reilly,Jamie Goggins
出处
期刊:Infrastructures [Multidisciplinary Digital Publishing Institute]
卷期号:9 (7): 112-112 被引量:1
标识
DOI:10.3390/infrastructures9070112
摘要

Significant inelastic deformations induced in structural systems lead to structures possibly possessing some degree of permanent lateral deformation following major seismic events. These permanent deformations have led to considerable research being conducted over the past 20 years into developing structural systems that exhibit self-centring behaviour. For a structural system such as the concentrically braced frame (CBF), for which the dissipating mechanism is the tensile yielding and compressive buckling of the diagonal steel tubular members, these residual deformations present a problem when considering the structure’s overall resilience to the seismic loading both during and after an event. This paper describes the numerical modelling of a novel self-centring, concentrically braced frame (SC-CBF) system that combines a conventional CBF with a self-centring arrangement to produce a structure that possesses the desirable lateral load-resisting capacity of the CBF but which also re-centres when subjected to many cycles of large inelastic brace deformation. First, an experimental test programme for the SC-CBF is briefly described, followed by a numerical model to capture the SC-CBF’s characteristics during cyclic loading. This numerical model is validated using the experimental test data, showing that the experimental and numerical simulation data match rather well. This development presents a platform upon which further research through experimental testing and numerical simulation can be conducted. The proposed SC-CBF system can then be developed into a viable lateral load-resisting system that will provide a more resilient system than the current conventional CBF.
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