Paper Info
Title
Determining ultimate bearing capacity of shallow foundations using a genetic programming system.
Abstract
Abstract Three genetic programming models are developed for determining the ultimate bearing capacity of shallow foundations. The proposed genetic programming system (GPS), which comprises genetic programming (GP), weighted genetic programming (WGP), and soft-computing polynomials (SCP), simultaneously provides accurate prediction and visible formulas. Some improvements are achieved for GP and WGP. The SCP is also designed to model the ultimate bearing capacity of shallow foundations with polynomials. Laboratory experimental tests of shallow foundations on cohesionless soils are used with parameters of the angle of shearing resistance, the unit weight of the soil, and the geometry of a foundation considers depth, width, and length to determine the ultimate bearing capacity. Analytical results confirm that all GPS models perform well with acceptable prediction accuracy. Visible formulas of GPS models also facilitate parameter studies, sensitivity analysis, and application of pruning techniques. Notably, SCP gives concise representations for the ultimate bearing capacity and identifies the significant parameters. Although shear resistance angles have the largest impact on ultimate bearing capacity, foundation width and depth are also significant.
Year
DOI
Venue
2013
10.1007/s00521-012-1150-8
Neural Computing and Applications
Keywords
Field
DocType
Genetic programming,Weighted genetic programming,Ultimate bearing capacity,Shallow foundations
Mathematical optimization,Shear (sheet metal),Bearing capacity,Polynomial,Shearing (physics),Shallow foundation,Genetic programming,Global Positioning System,Mathematics
Journal
Volume
Issue
ISSN
23
7-8
1433-3058
Citations 
PageRank 
References 
2
0.39
15
Authors
4
Name
Order
Citations
PageRank
Hsing-Chih Tsai119114.26
Yaw-Yauan Tyan2101.26
Yun-Wu Wu3101.59
Yong-Huang Lin41369.40