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随着社会经济的快速发展,交通建设工程的作用日益明显。在新疆交通工程建设过程中,会遇到大量区域性地质问题,如黄土是遇到最多,也是最严重的地质现象,尤其在新疆伊犁地区。黄土湿陷性的评价是工程设计建设的前提和基础,探索科学、合理的评价方法是本文研究的主要问题。本文将利用范例推理的理论基础,将模糊相似比优先比的思路引入,构造了一个黄土湿陷范例检索的模型。选取了5个影响黄土湿陷性的参数,建立了湿陷的目标范例和源范例之间的模糊相似优先比关系,经过推理、计算,找到和目标范例最相似的源范例,根据源范例的湿陷系数大小,判断出目标范例的湿陷系数。采取新疆伊犁地区湿陷性黄土项目的实际案例进行计算,计算结果表明,黄土湿陷系数的预测值与实测值之间的误差小于10%,有较高的预测精度,具有一定的参考和借鉴作用,为黄土地区的公路建设提供指导作用。
With the rapid development of social economy, the role of transportation construction project is increasingly obvious. In the process of traffic engineering construction in Xinjiang, a large number of regional geological problems will be encountered. For example, loess is the most encountered and most serious geological phenomenon, especially in the Yili region of Xinjiang. Evaluation of loess collapsibility is the precondition and foundation of engineering design and construction. Exploring the scientific and reasonable evaluation method is the main problem of this paper. This article will use the theoretical basis of example reasoning, introducing the idea of priority ratio of fuzzy similarity ratio, and construct a model of loess collapsibility example retrieval. Five parameters affecting collapsibility of loess were selected to establish the fuzzy similarity priority relationship between the collapsed target sample and the source sample. After deducing and calculating, the most similar source sample to the target sample was found. According to the source sample Collapse coefficient size, determine the target sample collapsibility coefficient. Taking the actual case of collapsible loess project in Yili region of Xinjiang as an example, the calculation results show that the error between the predicted value and the measured value of the loess collapsibility coefficient is less than 10%, which has a high prediction accuracy and has certain reference and reference Role for the loess area to provide guidance for highway construction.