Prediction of Ground Settlement Based on Immune Genetic Algorithm

Abstract:

It is very important to predict ground settlement and provide effective dada for construction on soft soil foundation. There are several prediction methods.However, back analysis method is identified as the most effective method in all these methods. The most primarily used method in back analysis methods is optimization algorithm. In this paper, to realize accurate prediction and calculation of soft soil foundation settlement, an improved immune genetic algorithm is presented by introducing immune mechanism to genetic algorithm. A example was given and illustrated that this algorithm can greatly improve calculation speed and accuracy in predicting soft soil foundation settlement.

• Periodical: Applied Mechanics and Materials (Volumes 155-156)
• Pages: 1056-1060
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.155-156.1056
• Online since: February 2012
• Authors: Gui Quan Bi
• Keywords: Immune Genetic Algorithm, Settlement Prediction, Soft Soil Foundation

References

[1] WANG Xiaoping, CAO Liming. genetic algorithm -Theory, Utilization and Realization, Xian: Xian Jiaotong University Press, (2002).

[2] Zhang Hong, Xia Power System Reactive Power Optimization Based on Improved Immune Genetic Algorithm, J. of Anhui University of Technology（Natural Science), Vol. 28, No. 2. PP: 175-178.

[3] Bu Huzheng, Yao Jiangang, Improved Particle Swarm Optimization with Immunity Algorithms for Medium and Long Term Load Forecasting. Proceedings of the CSU-EPSA. Vol. 23, No. 3, 2011, PP: 141-146.

[4] ZHANG Zhi-zeng , LI Zhong-kui , CHENG Li-juanm, Back Analysis on Geomechanical Paramters based on a Master-slave Parallel Genetic Algorithm. Engineering Mechanics. Vol. 27 No. 10, 2010, PP: 21-26.