Geoscience Frontiers

Geoscience Frontiers

Volume 7, Issue 1, January 2016, Pages 33-44
Geoscience Frontiers

Research paper
State-of-the-art review of some artificial intelligence applications in pile foundations

https://doi.org/10.1016/j.gsf.2014.10.002Get rights and content
Under a Creative Commons license
open access

Highlights

  • Review of artificial intelligence (AI) applications in pile foundations.

  • Salient features associated with the AI modeling development.

  • AI has superior predictive ability compared to traditional methods.

Abstract

Geotechnical engineering deals with materials (e.g. soil and rock) that, by their very nature, exhibit varied and uncertain behavior due to the imprecise physical processes associated with the formation of these materials. Modeling the behavior of such materials in geotechnical engineering applications is complex and sometimes beyond the ability of most traditional forms of physically-based engineering methods. Artificial intelligence (AI) is becoming more popular and particularly amenable to modeling the complex behavior of most geotechnical engineering applications because it has demonstrated superior predictive ability compared to traditional methods. This paper provides state-of-the-art review of some selected AI techniques and their applications in pile foundations, and presents the salient features associated with the modeling development of these AI techniques. The paper also discusses the strength and limitations of the selected AI techniques compared to other available modeling approaches.

Keywords

Artificial intelligence
Pile foundations
Artificial neural networks
Genetic programming
Evolutionary polynomial regression

Cited by (0)

Peer-review under responsibility of China University of Geosciences (Beijing).