By Hojjat Adeli, K. Sarma
Книга expense Optimization of buildings: Fuzzy good judgment, Genetic Algorithms, and... expense Optimization of constructions: Fuzzy good judgment, 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 burden of a constitution constitutes an important a part of the associated fee, a minimal weight layout isn't inevitably the minimal price layout. Little realization in structural optimization has been paid to the fee optimization challenge, quite of practical third-dimensional constructions. fee optimization is changing into a concern in all civil engineering tasks, and the concept that of Life-Cycle Costing is penetrating layout, production and development firms. during this groundbreaking e-book the authors current novel computational versions for fee optimization of enormous scale, lifelike constructions, subjected to the particular constraints of well-known layout codes. because the first ebook at the topic this publication: includes specific step by step algorithms specializes in novel computing recommendations comparable to genetic algorithms, fuzzy common sense, and parallel computing Covers either Allowable rigidity layout (ASD) and cargo and Resistance issue layout (LRFD) codes contains practical layout examples masking large-scale, high-rise development constructions offers computational versions that permit great expense rate reductions within the layout of buildings totally automatic structural layout and price optimization is the place large-scale layout know-how is heading, hence fee Optimization of constructions: Fuzzy common sense, Genetic Algorithms, and Parallel Computing might be of serious curiosity to civil and structural engineers, mechanical engineers, structural layout software program builders, and architectural engineers thinking about the layout of constructions and life-cycle rate 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 info for Life-Cycle Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithm, and Parallel Computing
Most of these papers, however, are on weight optimization. Only a few deal with the cost optimization of structures presenting academic examples. 6) for reliability-based optimization. 16). The membership functions for the constraints are restricted to preselected lower limit values of . As such, the amount of fuzziness in the constraints is limited to preselected ranges. The advantage of this approach is that the problem is readily transformed to ordinary nonfuzzy optimization with expanded lower and upper bound limits, which are functions of .
The columns have rectangular cross-sections and the beams can be rectangular, L, or T shapes. The design variables are the width, depth, and longitudinal steel reinforcement of the beams and columns. Their cost function includes the material costs of the concrete, reinforcement, and the formwork. Their largest example is a five-story single-bay RC frame. They conclude that the optimality criteria approach converges slowly when stiffness constraints are included in the formulation. Adamu and Karihaloo (1995b) used the discretized continuum-type optimality criteria (DCOC) method for the minimum cost design of twodimensional multi-bay and multi-story RC frames based on Australian (AS3600, 1988) and European (CEB/FIB, 1990) limit state design codes.
8) where Nch and Ncg are the total number of equality and inequality constraints, respectively. 6) represents the risk of the loading on the structure exceeding its capacity. The expected failure cost includes the cost associated with the failure of the structure, such as replacement cost, damage to properties, casualties, business interruption, litigation costs, etc. In the indirect method the objective function is only the initial cost. 2 Cost Optimization of Concrete Structures 19 Thus, in this approach a deterministic optimization procedure can be converted into a reliability-based optimization procedure by adding one or more additional probability constraints.
Life-Cycle Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithm, and Parallel Computing by Hojjat Adeli, K. Sarma