Stability evaluation of sand slopes based on the Bayesian-PSO algorithm

Sand slide slope are sudden, unpredictable and has great harm.Through field investigations around Lhasa, 12 representative data sets of sand slide slope disaster points were collected. By combining Bayesian network and Particle Swarm Optimization algorithm, and using algorithm update formula to make...

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التفاصيل البيبلوغرافية
الحاوية / القاعدة:Zhongguo dizhi zaihai yu fangzhi xuebao
المؤلفون الرئيسيون: Chaohua LOU, Rongyan TIAN, Jiu WANG, Weiyu SUN, Jin LUO
التنسيق: مقال
اللغة:الصينية
منشور في: Editorial Office of The Chinese Journal of Geological Hazard and Control 2021-04-01
الموضوعات:
sliding slope
bayesian network
pso
stability evaluation
lhasa city
الوصول للمادة أونلاين:https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.2021.02.07
الوصف
الملخص:Sand slide slope are sudden, unpredictable and has great harm.Through field investigations around Lhasa, 12 representative data sets of sand slide slope disaster points were collected. By combining Bayesian network and Particle Swarm Optimization algorithm, and using algorithm update formula to make up for the short comings of the single algorithm, information entropy was introduced to analyze the weight of rainfall, slope, slope height and vegetation coverage in the algorithm.Then, the influence of various factors on the stability of sand-pass slope is analyzed and the stability of sand-pass slope is graded. Experiments proved that the method is effective and has certain reference value for the stability evaluation of sand slide slope.
تدمد:1003-8035

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