Multi-objective optimization design of bridge piers with hybrid heuristic algorithms

作     者：Francisco J. MARTINEZ-MARTIN Fernando GONZALEZ-VIDOSA Antonio HOSPITALER Víctor YEPES 

作者机构：Department of Geotechnical Engineering Universitat Politècnica de València 46022 Valencia Spain Department of Construction Engineering ICITECH Universitat Politècnica de València 46022 Valencia Spain 

基　　金：supported by the Spanish Ministry of Science and Innovation(No. BIA2011-23602) the European Community with the European Regional Development Fund (FEDER), Spain 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2012年第13卷第6期

页      码：420-432页

摘      要：This paper describes one approach to the design of reinforced concrete (RC) bridge piers, using a three-hybrid multi- objective simulated annealing (SA) algorithm with a neighborhood move based on the mutation operator from the genetic algorithms (GAs), namely MOSAMO1, MOSAMO2 and MOSAMO3. The procedure is applied to three objective functions: the economic cost, the reinforcing steel congestion and the embedded CO 2 emissions. Additional results for a random walk and a descent local search multi-objective algorithm are presented. The evaluation of solutions follows the Spanish Code for structural concrete. The methodology was applied to a typical bridge pier of 23.97 m in height. This example involved 110 design variables. Results indicate that algorithm MOSAMO2 outperforms other algorithms regarding the definition of Pareto fronts. Further, the proposed procedure will help structural engineers to enhance their bridge pier designs.

主 题 词：Bridge piers Concrete structures Multi-objective optimization Simulated annealing (SA) Structural design 

学科分类：081406[081406] 08[工学] 0814[工学-地质类] 082301[082301] 0823[工学-农业工程类] 

核心收录：

D　O　I：10.1631/jzus.A1100304

馆 藏 号：203835113...