Comparative seismic performance of building with Cu-Al-Be and Ni-Ti SMARB base isolation system using particle swarm optimization

IF 3 Q2 ENGINEERING, CIVIL
Sanjay Baidya, B. Roy
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引用次数: 0

Abstract

ABSTRACT This study deals with the optimal performance of a five-storeyed shear frame building, base isolated with shape memory alloy rubber bearing (SMARB), under a set of real earthquake data. Nickel-Titanium (Ni-Ti) as well as Copper-Aluminum-Beryllium (Cu-Al-Be) is used as SMA material, and the responses are compared for both systems. The variations of optimized responses of the building are obtained for changing various structural and isolator parameters. A numerical study is taken where the optimization problem is considered to minimize the top floor acceleration by obtaining the optimal value of normalised forward transformation strength (F S0 ) of SMA using the particle swarm optimization (PSO) algorithm, which is an advanced bio-inspired optimization technique and relies on an intelligent swarm of particles which search for the solution in the problem space. The study shows that Cu-Al-Be-based SMARB system is more efficient than the traditional Ni-Ti-based base isolation system in reducing the top floor acceleration of the building at a marginal cost of isolator displacement. The optimal F S0 is considerably higher for Cu-Al-Be SMA device in practical conditions. Overall this study shows that Cu-Al-Be is a better choice for SMARB isolated buildings for mitigating seismic vibration compared to Ni-Ti SMARB system.
基于粒子群优化的Cu-Al-Be和Ni-Ti SMARB基隔震体系建筑抗震性能比较
摘要:本文研究了在一组真实地震数据下,采用形状记忆合金橡胶支座(SMARB)隔震的五层剪力框架建筑的最优性能。采用镍钛(Ni-Ti)和铜铝铍(Cu-Al-Be)作为SMA材料,比较了两种体系的响应。得到了不同结构参数和隔振器参数变化时建筑物优化响应的变化规律。采用粒子群优化(PSO)算法求解SMA归一化前向变换强度(f0)的最优值,以使顶层加速度最小为优化问题进行了数值研究。粒子群优化算法是一种先进的仿生优化技术,依靠智能粒子群在问题空间中搜索解。研究表明,基于cu - al - be的SMARB系统在以隔离器位移的边际成本降低建筑物顶层加速度方面比传统的ni - ti基隔震系统更有效。在实际条件下,Cu-Al-Be SMA器件的最佳fs0要高得多。总体而言,本研究表明,与Ni-Ti SMARB系统相比,Cu-Al-Be系统是SMARB隔震建筑更好的减震选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.90
自引率
9.50%
发文量
24
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