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Preliminary Design of Long‐Span King‐Post Truss Systems with a Genetic Algorithm
Author(s) -
Xu Lei,
Gong Yanglin
Publication year - 2001
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/0885-9507.00216
Subject(s) - truss , span (engineering) , key (lock) , genetic algorithm , optimal design , computer science , mathematical optimization , algorithm , structural engineering , engineering , mathematics , machine learning , computer security
This article presents an efficient design approach for the preliminary design of long‐span king‐post steel truss systems. First of all, the key parameters that govern effectiveness of the design of a truss system that has its own unique geometric configuration are identified. An optimization model based on the identified key design parameters and the proposed simplified analysis model is established next. A genetic algorithm is then applied to search for the optimal key design parameters. Finally, design examples based on the study of two arena projects in North America are presented. The results of the study suggest that the proposed design method provides an efficient and practical solution for the design of long‐span king‐post truss systems.