Name
Title | ||
|---|---|---|
Improving semi-empirical equations of ultimate bearing capacity of shallow foundations using soft computing polynomials |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.engappai.2012.08.014 | Eng. Appl. of AI |
Keywords | Field | DocType |
soft computing polynomial,accurate prediction,prediction accuracy,parameter study,analytical result,ultimate bearing capacity,semi-empirical equation,improving semi-empirical equation,visible formula,shallow foundation,meaningful way,foundation geometry impact,proposed scp,shallow foundations | Mathematical optimization,Empirical equations,Polynomial,Bearing capacity,Computer science,Shallow foundation,Shearing (physics),Genetic programming,Soft computing | Journal |
Volume | Issue | ISSN |
26 | 1 | 0952-1976 |
Citations | PageRank | References |
1 | 0.39 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chan-Ping Pan | 1 | 2 | 0.76 |
| Hsing-Chih Tsai | 2 | 191 | 14.26 |
| Yong-Huang Lin | 3 | 136 | 9.40 |