By Hojjat Adeli, K. Sarma
Книга rate Optimization of buildings: Fuzzy common sense, Genetic Algorithms, and... fee Optimization of constructions: Fuzzy common sense, Genetic Algorithms, and Parallel ComputingКниги Строительство Автор: Hojjat Adeli, Kamal C Sarma Год издания: 2006 Формат: pdf Издат.:Wiley Страниц: 222 Размер: 1,8 ISBN: 0470867337 Язык: Английский0 (голосов: zero) Оценка:While the load of a constitution constitutes an important a part of the fee, a minimal weight layout isn't inevitably the minimal rate layout. Little consciousness in structural optimization has been paid to the associated fee optimization challenge, fairly of reasonable three-d buildings. fee optimization is turning into a concern in all civil engineering tasks, and the idea that of Life-Cycle Costing is penetrating layout, production and building firms. during this groundbreaking ebook the authors current novel computational types for expense optimization of huge scale, practical constructions, subjected to the particular constraints of normal layout codes. because the first booklet at the topic this e-book: comprises exact step by step algorithms specializes in novel computing thoughts similar to genetic algorithms, fuzzy common sense, and parallel computing Covers either Allowable rigidity layout (ASD) and cargo and Resistance issue layout (LRFD) codes comprises reasonable layout examples overlaying large-scale, high-rise development constructions offers computational versions that let significant expense discount rates within the layout of constructions totally computerized structural layout and value optimization is the place large-scale layout expertise is heading, therefore expense Optimization of constructions: Fuzzy good judgment, Genetic Algorithms, and Parallel Computing might be of significant curiosity to civil and structural engineers, mechanical engineers, structural layout software program builders, and architectural engineers keen on the layout of buildings and life-cycle fee optimisation. it's also a pioneering textual content for graduate scholars and researchers operating in development layout and structural optimization..
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Additional resources for Life-Cycle Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithm, and Parallel Computing
Cohn and Lounis (1994) apply the above three-level cost optimization approach to multi-objective optimization of partially and fully prestressed concrete highway bridges with span lengths of 10 m to 15 m and widths of 8 m to 16 m. Their objective functions include the minimum superstructure cost, minimum weight of prestressing steel, minimum volume of concrete, maximum girder spacing, minimum superstructure depth, maximum spanto-depth ratio, maximum feasible span length, and minimum superstructure camber.
They perform an elastoplastic analysis and include both component- and system-level probabilities of failure in the form of constraints. They simply assume values for probabilities of failure. Lin and Frangopol (1996) present the reliability-based minimum cost design of simply supported RC T-girders for highway bridges based on AASHTO provisions (AASHTO, 1992). Their initial cost is only the material costs of concrete and steel. The optimization approach is the method of feasible directions. They point out that only about 4 % of the structural optimization papers are about concrete and composite structures.
The cost function is expressed as the material costs of the superstructure including the costs of the steel girders, longitudinal and transverse stiffeners, studs, and the reinforced concrete slabs. Their unit costs of materials are intended to include other costs such as fabrication, transportation, and erection indirectly. An example of a three-span and two-lane bridge structure is presented. They conclude that the dimensions of the flange and web plates have the greatest impact on the minimum cost solution.
Life-Cycle Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithm, and Parallel Computing by Hojjat Adeli, K. Sarma