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Algorithms for Optimal Design of Smart Structural Systems
Author(s) -
Begg David William,
Liu Xiaojian
Publication year - 1998
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 - 10.1111/0885-9507.00119
Subject(s) - controllability , robustness (evolution) , mathematical optimization , topology optimization , optimal design , computer science , gravitational singularity , algorithm , mathematics , engineering , machine learning , mathematical analysis , biochemistry , chemistry , structural engineering , finite element method , gene
Simultaneous optimal design of smart structural systems is considered in this article. A major augmentation to this multidisciplinary optimization problem is optimal structural layout design in terms of shape and topology. Four algorithms, namely, guided random search techniques, sequential mathematical programming, and their mixtures, are presented and used for the problem solving. A method to prevent singularities when updating structural layout is also suggested. Design variable linking schemes are used to reduce the number of design variables and give reasonable optimal results. Two examples are solved. Comparison of the algorithms on the basis of achieved improvements in system energy, control effort, robustness, and controllability is made.