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Genetic Algorithm Based Optimization and Design of Pile Foundation
Piles are deep foundations of relatively small diameter shaft, introduced into the soil by suitable means, to support the load coming on it from the superstructure when a good bearing stratum is not available near the ground surface. This study attempts an optimized design approach for single piles in order to evaluate the pile geometry, based on the ultimate bearing capacity of the pile within stipulated limits. A standalone software code has been developed as a result of this study. The code is written in MATLAB that incorporates genetic algorithm (GA) optimization technique to obtain optimum pile dimensions depending upon supporting soil condition and incoming loads. The pile is then designed satisfying all the structural requirements as per Indian Standards Code for Reinforced Concrete cast-in-situ pile, IS: 2911. The optimization and design procedure are demonstrated through the proposed software, and the results are verified manually. The optimum pile dimensions, reinforcement details and an estimate of the design are presented as the software output.
Genetic Algorithm Based Optimization and Design of Pile Foundation
Piles are deep foundations of relatively small diameter shaft, introduced into the soil by suitable means, to support the load coming on it from the superstructure when a good bearing stratum is not available near the ground surface. This study attempts an optimized design approach for single piles in order to evaluate the pile geometry, based on the ultimate bearing capacity of the pile within stipulated limits. A standalone software code has been developed as a result of this study. The code is written in MATLAB that incorporates genetic algorithm (GA) optimization technique to obtain optimum pile dimensions depending upon supporting soil condition and incoming loads. The pile is then designed satisfying all the structural requirements as per Indian Standards Code for Reinforced Concrete cast-in-situ pile, IS: 2911. The optimization and design procedure are demonstrated through the proposed software, and the results are verified manually. The optimum pile dimensions, reinforcement details and an estimate of the design are presented as the software output.
Genetic Algorithm Based Optimization and Design of Pile Foundation
Lecture Notes in Civil Engineering
Satyanarayana Reddy, C. N. V. (Herausgeber:in) / Muthukkumaran, K. (Herausgeber:in) / Satyam, Neelima (Herausgeber:in) / Vaidya, Ravikiran (Herausgeber:in) / Borah, Bhargav Jyoti (Autor:in) / Borah, Sasanka (Autor:in)
27.09.2021
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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