Result: Reliability-based optimal design of electrical transmission towers using multi-objective genetic algorithms

Title:
Reliability-based optimal design of electrical transmission towers using multi-objective genetic algorithms
Authors:
MATHAKARI, Sachin, GARDONI, Paolo, AGARWAL, Pranab, RAICH, Anne, HAUKAAS, Terje
Source:
Computational structural engineering. Dedicated to: James T. P. YaoComputer-aided civil and infrastructure engineering. 22(4):282-292
Publisher Information:
Malden, MA: Blackwell, 2007.
Publication Year:
2007
Physical Description:
print, 3/4 p
Original Material:
INIST-CNRS
Subject Terms:
Civil engineering, Génie civil, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Batiment. Travaux publics, Buildings. Public works, Calcul des constructions. Sollicitations, Structural analysis. Stresses, Sollicitations. Sécurité, Stresses. Safety, Méthodes de calcul. Tables. Abaques, Computation methods. Tables. Charts, Construction (bâtiments et ouvrages), Construction (buildings and works), Structure construction, Building structure, Structure élevée, High rise structure, Action vent, Wind effect, Acción viento, Algorithme génétique, Genetic algorithm, Algoritmo genético, Analyse structurale, Structural analysis, Análisis estructural, Calcul construction, Structural design, Cálculo construcción, Conception optimale, Optimal design, Concepción optimal, Fiabilité structurelle, Structural reliability, Fiabilidad estructural, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Structure en treillis, Truss structure, Estructura celosia, Tour bâtiment, Tower (building), Torre edificio, Transmission électrique, Electric transmission, Transmisión eléctrica
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843-3136, United States
RISA Technologies, Foothill Ranch, CA 92610, United States
Department of Civil and Environ. Engineering, Lafayette College, Easton, PA 18042, United States
Department of Civil Engineering, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
ISSN:
1093-9687
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18622320
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering
Accession Number:
edscal.18622320
Database:
PASCAL Archive

Further Information

A hybrid methodology for performing reliability-based structural optimization of three-dimensional trusses is presented. This hybrid methodology links the search and optimization capabilities of multi-objective genetic algorithms (MOGA) with structural performance information provided by finite element reliability analysis. To highlight the strengths of the proposed methodology, a practical example is presented that concerns optimizing the topology, geometry, and member sizes of electrical transmission towers. The weight and reliability index of a tower are defined as the two objectives used by MOGA to perform Pareto ranking of tower designs. The truss deformation and the member stresses are compared to threshold values to assess the reliability of each tower under wind loading. Importance sampling is used for the reliability analysis. Both the wind pressure and the wind direction are considered as random variables in the analysis. The research results presented demonstrate the benefit of implementing MOGA optimization as an integral part of a reliability-based optimization procedure for three-dimensional trusses.