推断岩土参数概率分布的二维正态信息扩散法

doi:10.13722/j.cnki.jrme.2017.1658

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Abstract A two-dimensional normal information diffusion method was proposed to infer the probability distributions of geotechnical parameters. A general expression of two-dimensional normal information diffusion model was established considering the correlation of two-dimensional geotechnical parameters and the principle of normal information diffusion. The two-dimensional distribution K-S test method was improved and the corresponding specific test procedure was proposed. The two-dimensional shear strength parameters of the geo-materials at a hydropower station project were used as an example，and their distributions were fitted with the two-dimensional normal distribution and two-dimensional normal information diffusion distribution. The proposed two-dimensional distribution K-S test method was used to test the fitting accuracy of the two distributions obtained above. The results show that the testing value of the two-dimensional normal distribution is lower than that of two-dimension normal distribution and that the distribution function of two-dimensional normal information diffusion is closer to the actual distribution of data，showing that the two-dimensional normal information diffusion distribution is better in describing the probability distribution of two-dimensional geotechnical parameters. The edge distribution of the two-dimensional normal information diffusion function obeys the one dimensional normal information diffusion distribution，and the accuracy is also higher than that of the one dimensional normal distribution.

Key words： geotechnical engineering two-dimensional geotechnical parameters probability distribution normal information diffusion normal distribution marginal distribution correlation coefficient

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	Articles by authors
	GONG Fengqiang
	HUANG Tianlang
	WANG Tiancheng

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GONG Fengqiang,HUANG Tianlang,WANG Tiancheng. A two dimensional normal information diffusion inference method for probabilistic distributions of geotechnical parameters[J]. , 2018, 37(10): 2232-2242.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2017.1658 OR https://rockmech.whrsm.ac.cn/EN/Y2018/V37/I10/2232

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