Intelligent Decision Model Of The Soft Soil Improvement Method Of The Expressway

With the development of our country economics, the expressway has developed very quickly in our country. However, there are much soft soil in the highway grounds of many provinces and cities. With the building of expressways, the problem of soft ground is becoming more and more protrusive and has been one of key factors influencing project quality, project cycle and project cost. So it has become a very important task to strengthen the research on the improvement of expressway soft ground, which affects the development of traffic project in China. Based on system engineering, artificial intelligence, comprehensive evaluate, neural net, fuzzy mathematics, and combined with the latest developments of geo-technique and soil mechanics, the thesis studies many aspects of problems to establish intelligent decision support system of expressway ground improvement.According to the research contents and sequences of chapters and sections, this abstract introduces concisely as follows:1. It expresses briefly the purpose and significance of the article, and introduces comprehensively present research situation, existing problems and research prospect of ground improvement. Based on systems analysis of decision problems of expressway ground improvement, it puts forward research subject and chief contents of intelligent decision model of soft soil improvement methods.2. The intelligent decision model of the soft soil improvement methods using Case-Based Reasoning is presented for the first time, it is shown form examples that results of the decision model is simple, visual, practical and convenient to use.3. In this thesis, The decision model of the soft soil improvement methods based on fuzzy analogy preferred ratio is put forward. In the model, fuzzy analogy preferred relationship between feasible methods and the ideal one is determined, and the similar series in them in every affecting factor is given. Determining their factor weights using the analytic hierarchy process(AHP), the comprehensive similar series in them is carried out, and the most similar soft ground improvementmethod to ideal one is found out.4. In view of the incompleteness and uncertainty of information of soft ground improvement method, the decision model of the soft soil improvement methods based on Grey system theory is presented.5. Artificial neural net (ANN) is used in technical decision of expressway ground improvement. Decision model based on back propagation neural network and decision model based on adaptive resonance theory are set up for the first time, the result proves that ANN decision models are valid and easy realization.