Journal ArticleDOI
Optimum design of space frames under seismic loading
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In this article, the efficiency of a rigorous approach in treating dynamic loading is investigated and compared with a simplified dynamic analysis in the framework of finding the optimum design of structures with minimum weight.Abstract:
The objective of this paper is to perform structural optimization under seismic loading. Combinatorial optimization methods and in particular algorithms based on Evolution Strategies are implemented for the solution of large-scale structural optimization problems under seismic loading. In this work the efficiency of a rigorous approach in treating dynamic loading is investigated and compared with a simplified dynamic analysis in the framework of finding the optimum design of structures with minimum weight. In this context a number of accelerograms are produced from the elastic design response spectrum of the region. These accelerograms constitute the multiple loading conditions under which the structures are optimally designed. This approach is compared with an approximate design approach based on simplifications adopted by the seismic codes. The results obtained for a characteristic test problem indicate a substantial improvement in the final design when the proposed optimization procedure is implemented.read more
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Book ChapterDOI
Multiobjective Optimization of Space Structures under Static and Seismic Loading Conditions
TL;DR: This chapter presents a evolution strategies approach for multiobjective design optimization of structural problems such as space frames and multi-layered space trusses under static and seismic loading conditions.
Journal ArticleDOI
Genetic Algorithm Based Construction-Conscious Minimum Weight Design of Seismic Steel Moment-Resisting Frames
TL;DR: In this article, a genetic algorithm is used for the posed bi-objective structural optimization problem to produce a set of alternative designs establishing optimized trade-off between the two merit objectives.
Innovative computational techniques for the optimum structural design considering uncertainties
TL;DR: The goal of the thesis is to unify the concepts of probability‐based safety analysis and structural optimization and provide the necessary numerical tools to deal with optimiza‐ tion problems considering uncertainties by developing algorithms for solving the probabilistic structural optimization problems encountered.
Journal ArticleDOI
Optimum seismic design of reinforced concrete frame structures
Journal ArticleDOI
Effects of randomly distributed infill on columns of reinforced concrete frames with soft ground storey
TL;DR: In this article, the effects of infill distribution on various structural responses, including lateral deflection, column axial forces, column bending moments, column base shear, and the natural period of the frame were investigated.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Journal ArticleDOI
The method of moving asymptotes—a new method for structural optimization
TL;DR: In this article, a new method for non-linear programming in general and structural optimization in particular is presented, in which a strictly convex approximating subproblem is generated and solved.
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