Computer software for analysis and design optimization of power transmission structures by simulated annealing and sensitivity analysis

被引：4

作者：

Couceiro, I ^{[1
]}

Paris, J. ^{[1
]}

Martinez, S. ^{[1
]}

Navarrina, F. ^{[1
]}

Colominas, I ^{[1
]}

机构：

[1] Univ A Coruna, Grp Numer Methods Engn, Campus Elvina, La Coruna 15071, Spain

来源：

ENGINEERING WITH COMPUTERS | 2021年 / 37卷 / 04期

关键词：

Structural optimization; Optimization software; Transmission towers; NONSTATIONARY MARKOV-CHAINS; TRUSS STRUCTURES; TOPOLOGY OPTIMIZATION; SIZING OPTIMIZATION; GENETIC ALGORITHM; COOLING SCHEDULES; SEARCH; SHAPE; CONVERGENCE; GEOMETRY;

D O I：

10.1007/s00366-020-01022-x

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a computer software for the optimization of power transmission structures. The software employs a modified version of the Simulated Annealing algorithm that has been proven effective in large engineering problems. The target structures are three-dimensional steel trusses to be used as supporting towers of electrical lines. A mixed formulation merging continuous and discrete design variables is proposed for optimizing the size and shape of the trusses, including a first-order sensitivity analysis that reduces the computational cost. The implementation can be adapted to any kind of transmission tower and allows to quickly create a model to be analyzed and optimized in a few sequential steps. Despite its simplicity of use, the tools provided by the proposed framework allow to perform a full analysis of the design and provide an entire comprehension of its structural behavior. The software also includes a post-process and visualization tool set in a user-friendly graphical interface.

引用

页码：3649 / 3663

页数：15

共 49 条

[1]

Abramson D, 1999, ASIA PAC J OPER RES, V16, P1

[2] Truss topology optimization with discrete design variables - Guaranteed global optimality and benchmark examples [J].

Achtziger, Wolfgang ;

Stolpe, Mathias .

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2007, 34 (01) :1-20

[3]

ADIL B, 2019, ENG COMPUT

[4]

*AM SOC CIV ENG, 1997, 1097 ASCE

[5] ERGODICITY IN PARAMETRIC NONSTATIONARY MARKOV-CHAINS - AN APPLICATION TO SIMULATED ANNEALING METHODS [J].

ANILY, S ;

FEDERGRUEN, A .

OPERATIONS RESEARCH, 1987, 35 (06) :867-874

[6]

[Anonymous], 1972, Journal of the Structural Division, ASCE, Vol, DOI DOI 10.1061/JSDEAG.0003181

[7] Sizing and topology optimization of truss structures using genetic programming [J].

Assimi, Hirad ;

Jamali, Ali ;

Nariman-Zadeh, Nader .

SWARM AND EVOLUTIONARY COMPUTATION, 2017, 37 :90-103

[8]

BONNEMOY C, 1991, RAIRO-AUTOM PROD INF, V25, P477

[9] Design of space trusses using modified teaching-learning based optimization [J].

Camp, C. V. ;

Farshchin, M. .

ENGINEERING STRUCTURES, 2014, 62-63 :87-97

[10] Structural optimization of lattice steel transmission towers [J].

Couceiro, I. ;

Paris, J. ;

Martinez, S. ;

Colominas, I. ;

Navarrina, F. ;

Casteleiro, M. .

ENGINEERING STRUCTURES, 2016, 117 :274-286

← 1 2 3 4 5 →