关键词: 垃圾填埋场稳定性, 敏感性分析, BP神经网络, 正交设计

Abstract:

The selection and research of stability influence factors are very important for stability analysis of solid waste landfills. The sensibility analysis is a method to identify the importance of the factors. In the traditional method of sensibility analysis, only the results caused by changing single affecting factor are considered. Therefore, it is difficult to reveal the real picture of the multi factors simultaneously changed in real case. A method of BP artificial neural network combined with the orthogonal design is presented to study the sensibility of influence factors on translational failure of landfill along the liner system. The comparison between the new and traditional methods is conducted by analyzing a real project. It shows that the sequences of factor sensibility are the same but the maximum difference of safety factors for an influence factor used to determine the sequences are different. The maximum difference of safety factors in the new method are more accurate to reflect the differences of sensibility of the factors because several factors simultaneously changed are considered. In addition, the computing and working time for using the new method is much less than for using the traditional method. The results of sensibility analysis indicate that the major factors to impact landfill stability against translational failure include the smallest interface friction angle in the composite liner and the waste filling slope angle. The results of sensibility analysis can be used to optimize the design, construction, monitoring, and operation management for solid waste landfills.

Key words: stability of waste landfill, sensibility analysis, BP neural network, orthogonal design