Improving semi-empirical equations of ultimate bearing capacity of shallow foundations using soft computing polynomials

Authors:
Chan-Ping Pan;Hsing-Chih Tsai;Yong-Huang Lin
Affiliations:
Department of Construction Engineering, National Taiwan University of Science and Technology, 43, Section 4, Keelung Rd., Taipei 106, Taiwan, R.O.C;Department of Construction Engineering, National Taiwan University of Science and Technology, 43, Section 4, Keelung Rd., Taipei 106, Taiwan, R.O.C and Ecological and Hazard Mitigation Engineering ...;Department of Construction Engineering, National Taiwan University of Science and Technology, 43, Section 4, Keelung Rd., Taipei 106, Taiwan, R.O.C
Venue:
Engineering Applications of Artificial Intelligence
Year:
2013

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Abstract

This study presents the ultimate bearing capacity of shallow foundations in meaningful ways and improves its semi-empirical equations accordingly. Approaches including weighted genetic programming (WGP) and soft computing polynomials (SCP) are utilized to provide accurate prediction and visible formulas/polynomials for the ultimate bearing capacity. Visible formulas facilitate parameter studies, sensitivity analysis, and applications of pruning techniques. Analytical results demonstrate that the proposed SCP is outstanding in both prediction accuracy and provides simple polynomials as well. Notably, the SCP identifies that the shearing resistance angle and foundation geometry impact on improving the Vesic's semi-empirical equations.