Risk Assessment of Railway Spoil Yard in Complex Mountainous Areas Based on RAGA-PPC Cloud Model
Publication: ICCREM 2021
ABSTRACT
To accurately assess the comprehensive risks of railway spoil yards, this paper starts from the complex environmental characteristics of mountain tunnel construction. First, build a risk evaluation index system from the three aspects of natural environment, spoil yard system, and human activities, and formulate corresponding evaluation standards; second, construct the index membership function, and use the conditional cloud generator to calculate the index membership based on the cloud model. At the same time, use the real coding based on Accelerating Genetic Algorithm (RAGA) to optimize the Projection Pursuit Clustering (PPC) model to obtain optimal projection direction, and determine the index weight; finally, build a comprehensive membership degree model for the risk assessment of the spoil yard. Through the above work, it is possible to establish a systematic risk assessment system for railway spoil yard, effectively reduce the risk of soil erosion, and ensure the sustainable development of engineering construction and environmental protection.
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ICCREM 2021
Pages: 64 - 72
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© 2021 American Society of Civil Engineers.
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Published online: Dec 9, 2021
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