APPLICATION OF NSGA-II TO DESIGN MULTIPLE MITIGATION DEVICES IN SLENDER STRUCTURES

被引:0
|
作者
Vazquez, Perez Elena [1 ,2 ]
Clavo, Posada Marta [1 ,2 ]
Gonzalez, Magdaleno Alvaro [3 ]
Iban, Lorenzana Antolin [3 ]
机构
[1] Univ Valladolid, Dept Org Ind, Valladolid, Spain
[2] Univ Valladolid, CIM, Valladolid, Spain
[3] Univ Valladolid, Dept Construcc Arquitecton Ingn Terreno & Mecan M, Valladolid, Spain
来源
6TH INTERNATIONAL CONFERENCE ON MECHANICAL MODELS IN STRUCTURAL ENGINEERING, CMMOST 2021, 2 EDITION | 2022年
关键词
tuned mass damper; multi-objective optimization; genetic algorithm; ultimate limit state; serviceability; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper, the multi-objective evolutionary algorithm, Non Dominated Sorting Genetic Algorithm (NSGA-II), is applied to solve the design of passive mitigation devices, commonly referred to as Tuned Mass Dampers (TMD). A common challenge is obtaining a set of optimal Pareto Points, evenly distributed along the Pareto Front. Two usual states are used as objective functions to articulate the multi-objective optimization procedure. The Serviceability Limit States (SLS, objective number 1) can be evaluated through the accelerance frequency response functions and the Ultimate Limit States (ULS, objective number 2) is considered by evaluating the drift between storeys when undergoing, for example, a particular earthquake. The results have shown that NSGA-II is able to obtain the Pareto Front, indicating the TMD or TMDs to install, considering those two objective functions, under the condition that the mass of the TMDs to be put is bounded.
引用
收藏
页码:214 / 228
页数:15
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