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

作     者：Mohamed A.Shahin 

作者机构：Department of Civil EngineeringCurtin University 

出 版 物：《Geoscience Frontiers》 (地学前缘（英文版）)

年 卷 期：2016年第7卷第1期

页      面：33-44页

核心收录：

学科分类：081401[工学-岩土工程] 08[工学] 0708[理学-地球物理学] 0704[理学-天文学] 0814[工学-土木工程] 

主　　题：Artificial intelligence Pile foundations Artificial neural networks Genetic programming Evolutionary polynomial regression 

摘      要：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.