Optimum Design of Pile Foundation by Automatic Grouping Genetic Algorithms
Joint Authors
Wang, Bo
Cheng, Gengdong
Lin, Shuzhi
Liu, Xiaofeng
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-16
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper studies the optimum conceptual design of pile foundations at the initial design stage.
A modular method is proposed, which divides the foundation into modules and each module is identified by its characteristics of pile length, diameter, number and layout.
Modules with the same characteristics may be packed and represented by a design variable.
A minimum-cost optimization model with multiple design constraints based on Chinese code and a cardinality constraint is built to achieve the concurrent optimization of pile size and layout.
The model is solved by the improved automatic grouping genetic algorithms to obtain the design with optimal variables and optimal variable grouping.
A practical example demonstrates the effectiveness of the proposed approach.
American Psychological Association (APA)
Liu, Xiaofeng& Cheng, Gengdong& Wang, Bo& Lin, Shuzhi. 2012. Optimum Design of Pile Foundation by Automatic Grouping Genetic Algorithms. ISRN Civil Engineering،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-489759
Modern Language Association (MLA)
Liu, Xiaofeng…[et al.]. Optimum Design of Pile Foundation by Automatic Grouping Genetic Algorithms. ISRN Civil Engineering No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-489759
American Medical Association (AMA)
Liu, Xiaofeng& Cheng, Gengdong& Wang, Bo& Lin, Shuzhi. Optimum Design of Pile Foundation by Automatic Grouping Genetic Algorithms. ISRN Civil Engineering. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-489759
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489759