Experimental studies on geotechnical engineering problems of Beijing Olympic Rowing-Canoeing Park project

2013 ◽  
pp. 493-498
Author(s):  
Jianxin Hua ◽  
Xiaping Fan ◽  
Shaofeng Ning
Keyword(s):  
Geotechnical Engineering ◽  
Experimental Studies ◽  
Engineering Problems

Finite Element Analysis about the Properties of CFG-Pile Composite Foundation Based on Parametric Language PYTHON

2011 ◽  
Vol 320 ◽  
pp. 20-25
Author(s):  
Wei Dong Pan ◽  
Ren Guo Gu ◽  
Ke Zhu ◽  
Yong Gang Lv
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Geotechnical Engineering ◽  
Composite Foundation ◽  
Engineering Structures ◽  
Element Analysis ◽  
Model Code ◽  
Engineering Problems ◽  
Cfg Pile Composite Foundation ◽  
Cfg Pile

As an international general finite element analysis software, ABAQUS has super nonlinear analysis function and is playing an increasingly important role in the numerical calculation analysis of geotechnical engineering structures. CAE module of its own provides a certain amount of convenience for the beginners, but it is inadequate in the face of more complex geotechnical engineering problems. Based on parametric language PYTHON, using its modular model code, bypassing the CAE module, the ABAQUS finite element analysis calculated and analyzed the influence of ER on the CFG pile composite foundation settlement and pile side friction. Finite element analysis and the results show that: the process of ABAQUS finite element analysis, which is based on the parameter language PYTHON, is simple and has very high computational efficiency and accuracy in the analysis complex geotechnical engineering problems.

scholarly journals Recent Advances and Future Challenges for Artificial Neural Systems in Geotechnical Engineering Applications

2009 ◽  
Vol 2009 ◽  
pp. 1-9 ◽  
Author(s):  
Mohamed A. Shahin ◽  
Mark B. Jaksa ◽  
Holger R. Maier
Keyword(s):  
Geotechnical Engineering ◽  
Neural Systems ◽  
Ann Modeling ◽  
Computational Capability ◽  
Engineering Problems ◽  
Future Challenges ◽  
Classical Mathematics ◽  
Artificial Neural ◽  
High Level ◽  
Almost All

Artificial neural networks (ANNs) are a form of artificial intelligence that has proved to provide a high level of competency in solving many complex engineering problems that are beyond the computational capability of classical mathematics and traditional procedures. In particular, ANNs have been applied successfully to almost all aspects of geotechnical engineering problems. Despite the increasing number and diversity of ANN applications in geotechnical engineering, the contents of reported applications indicate that the progress in ANN development and procedures is marginal and not moving forward since the mid-1990s. This paper presents a brief overview of ANN applications in geotechnical engineering, briefly provides an overview of the operation of ANN modeling, investigates the current research directions of ANNs in geotechnical engineering, and discusses some ANN modeling issues that need further attention in the future, including model robustness; transparency and knowledge extraction; extrapolation; uncertainty.

The Review of Experimental Studies on Non-Coaxial Soil Behaviour Using HCA

2012 ◽  
Vol 594-597 ◽  
pp. 46-49 ◽  
Author(s):  
Yan Yan Cai ◽  
Jin Yu ◽  
Lin Tao Yang ◽  
Kang Mu
Keyword(s):  
Numerical Simulation ◽  
Experimental Work ◽  
Experimental Testing ◽  
Geotechnical Engineering ◽  
Experimental Studies ◽  
Structure Design ◽  
Soil Behaviour

Non-coaxiality has been recognized as an important feature of grain materials in geotechnical engineering. Without considering the non-coaxiality in structure design will lead to an unsafe result. Studies on the non-coaxial soil behaviour have been carried out both using numerical simulation and experimental testing by several researchers. To discuss the non-coaxiality of sand, it is essential to carry out tests under various stress paths. HCA is a valuable device to investigate the soil behaviour under various stress paths. In this paper, a review of the experimental work on non-coaxial soil behaviour especially using HCA is presented to help the understanding of both non-coaxiality and the use of HCA.

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