【作者】 陈向阳；

【导师】 冯仲仁；

【作者基本信息】 武汉理工大学 ， 市政工程， 2003， 硕士

【摘要】 近十几年来，随着我国国民经济的快速发展和国家对基础设施建设的不断加大，我国高速公路建设取得了大规模的发展。随着高速公路的修建，软土问题越来越突出，已成为影响工程质量，建设工期和工程造价的关键因素之一。因此，如何选择技术可靠、经济合理、安全适用的软基处理方案具有重大的理论和现实意义。本文以系统工程、人工智能、模糊数学、灰色理论、神经网络等为理论基础，结合岩土工程、土质学和土力学等学科的最新发展，对建立高速公路软基处理智能决策模型进行了研究。 按着研究内容和论文的章节顺序，简要介绍如下： 1．本文简要地介绍了本研究的目的和意义，系统地阐述了现有的软基处理方案决策法，如评分优化法、模糊评判法、层次分析法以及地基处理智能辅助设计系统等，介绍了它们的发展历史和研究现状，指出了它们存在的主要问题和不足，在此基础上，提出了本研究的工作思路和主要内容。 2．以人工智能中的范例推理为基础，首次提出了基于范例推理的高速公路软基处理方案决策模型。实例分析表明，该模型原理简单、直观，使用方便，具有实用价值。 3．提出了基于模糊相似优先比的高速公路软基处理决策模型。在该模型中，定义了模糊相似比，构造了软基处理方案影响因素的模糊相似优先关系，利用层次分析法确定了各影响因素的权重，从整体上找出了与理想方案最为相似的软基处理方案。 4．针对软基处理方案影响因素的不完全性、未知性等特点，提出了基于灰色理论的软基处理方案决策模型。 5．将人工神经网络(ANN)用于高速公路软基处理的技术决策，建立了基于BP神经网络的高速公路软基处理方案决策模型和基于ART神经网络的高速公路软基处理方案决策模型。实例表明，模型具有实现容易、效率高等特点。更多还原

【Abstract】 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.更多还原