Assessment of seismic liquefaction-induced settlement in free field based on the Bayesian network#br#
TANG Xiaowei 1 BAI Xu 1 HU Jilei 2
1.State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China;
2.School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China
Based on the Bayesian network method, a Bayesian network model for assessing seismic liquefaction-induced settlement was constructed, in which 12 significant factors including earthquake parameters, soil parameters and field conditions combining with the liquefaction potential and liquefaction potential index were considered.Through some cases study, it is shown the Bayesian network model has obvious advantages in the assessment performance, comparing with the RBF (Radial Basis Function) neural network method and I & Y (Ishihara & Yoshimine) simplified calculation method.The Bayesian network model not only has better assessment accuracy and reliability, but can also perform reverse causal reasoning.In the analysis of sensitive factors to the two machine learning models, the ground peak acceleration, duration of earthquake and standard penetration test blow count are more sensitive among the 12 factors, which are the same as those considered in the I & Y simplified calculation method.
唐小微 1, 白 旭 1，胡记磊 2. 基于贝叶斯网络的自由场地震液化沉降评估[J]. 振动与冲击, 2018, 37(18): 177-183.
TANG Xiaowei 1 BAI Xu 1 HU Jilei 2 . Assessment of seismic liquefaction-induced settlement in free field based on the Bayesian network#br#. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(18): 177-183.
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