Design of tall bridge piers by ant colony optimization

被引：22

作者：

Martinez, Francisco J. ^{[1
]}

Gonzalez-Vidosa, Fernando ^{[1
]}

Hospitaler, Antonio ^{[1
]}

Alcala, Julian ^{[1
]}

机构：

[1] Univ Politecn Valencia, Dept Ingn Construcc, Inst Ciencia Tecnol Hormigon, Valencia 46022, Spain

来源：

ENGINEERING STRUCTURES | 2011年 / 33卷 / 08期

关键词：

Tall bridge piers; Structural design; Economic optimization; Ant colony optimization; Concrete structures; REINFORCED-CONCRETE FRAMES; FLEXURAL DESIGN; ALGORITHM;

D O I：

10.1016/j.engstruct.2011.04.005

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper describes a methodology for the analysis and design of Reinforced Concrete (RC) tall bridge piers with hollow rectangular sections, which are typically used in deep valley bridge viaducts. Piers are usually considered tall when the shaft has a height of 50 m or more. Three different types of rectangular hollow tall piers have been studied for road piers of 90.00 m in height: RTRA90, RLON90 and RLT90. RTRA90 has the two side walls inclined, RLON90 has the two frontal walls inclined and RLT90 has all four walls inclined. The procedure used in the present study to solve the combinatorial problem is a variant of the ant colony optimization. RTRA90 leads to the most economical pier, both in column and foundation cost, since it is the most efficient set up for horizontal loads. Regarding the cost of the vertical column only, i.e. excluding the foundation, the cost of RTRA90 and RLON90 are similar, but the cost of the column RLT90 is higher due to its larger unit cost of interior formwork. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：2320 / 2329

页数：10

共 50 条

[1] Design Solution Optimization with Ant Colony Optimization
Kang, Yuyun
Tang, Dunbing
[J]. 2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 2, 2012, : 282 - 285
[2] Seismic performance of a bridge with tall piers
Kulkarni, Rakhi
Adhikary, Shrabony
Singh, Yogendra
Sengupta, Anirban
[J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-BRIDGE ENGINEERING, 2016, 169 (01) : 67 - 75
[3] Fuzzy controller design by ant colony optimization
Juang, Chia-Feng
Huang, Hao-Jung
Lu, Chun-Ming
[J]. 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, : 29 - +
[4] Optimal structural design by ant colony optimization
Bland, JA
[J]. ENGINEERING OPTIMIZATION, 2001, 33 (04) : 425 - 443
[5] Design optimization based on neural networks and ant colony optimization
Guo, Wu Yu
Zhi, Song Chong
[J]. ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS, 2007, : 360 - 362
[6] Naive Bayes Ant Colony Optimization for Experimental Design
Borrotti, Matteo
Poli, Irene
[J]. SYNERGIES OF SOFT COMPUTING AND STATISTICS FOR INTELLIGENT DATA ANALYSIS, 2013, 190 : 489 - 497
[7] Metabolic Design And Engineering Through Ant Colony Optimization
Lincoln, Stephen
Rogers, Ian
Srivastava, Ranjan
[J]. GECCO'15: PROCEEDINGS OF THE 2015 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2015, : 225 - 232
[8] Design of space trusses using ant colony optimization
Camp, CV
Bichon, BJ
[J]. JOURNAL OF STRUCTURAL ENGINEERING, 2004, 130 (05) : 741 - 751
[9] Application of the ant colony optimization in the resolution of the bridge inspection routing problem
Huang, Shan-Huen
Huang, Ying-Hua
Blazquez, Carola A.
Paredes-Belmar, German
[J]. APPLIED SOFT COMPUTING, 2018, 65 : 443 - 461
[10] Ant colony optimization for assembly lines design problem
Chehade, H.
Yalaoui, F.
Amodeo, L.
De Guglielmo, P.
[J]. COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL, 2008, 1 : 1135 - 1140

← 1 2 3 4 5 →