Title :
Using improved variable dimension fractal to model seawall settlement
Author :
Zhihai, Qin ; Peng, Qin
Author_Institution :
Dept. of Civil Eng., Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China
Abstract :
Prediction of seawall settlement is important to the engineering maintenance and disaster prevention. A new method based on Improved Variable Dimension Fractal Model (IVDFM) is proposed to predict the seawall settlement. The predicted analysis is presented on the example of a seawall in China. IVDFM can make full use of the self-similarity of fractal theory. The results of IVDFM are more reliable and have better predictive effects than that of the gray model GM (1,1) and artificial neural networks (ANN) model. The method proposed herein has a degree of applicability.
Keywords :
disasters; fractals; geotechnical engineering; maintenance engineering; walls; China; disaster prevention; engineering maintenance; improved variable dimension fractal model; seawall settlement prediction; Artificial neural networks; Economic forecasting; Educational institutions; Fractals; Genetic algorithms; Geology; Hydroelectric power generation; Monitoring; Predictive models; Water conservation; Improved Variable Dimension Fractal; prediction; seawall; settlement;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5478048