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Bayesian Inference of Empirical Coefficient in Foundation Settlement
Baysian theory, a new approach is proposed to determine the empirical coefficient in calculating soil settlement. The choice of prior distribution and the inference of posterior distribution are two important components of this method. According to previous knowledge available, the empirical coefficient determined by compression module in the interval [0.2–1.4], prior distribution is assessed uniform distribution in this interval. Posterior density function is developed in the condition of prior distribution combined with observed samples information based on bayes principle. Taking four locations in a passenger dedicated line for example, the results show that the posterior distribution of the empirical coefficient obeys Guass distribution parameter μ and σ. The value of μ is decreased gradually with the load on ground increased. In addition, the observed samples information has great influence on the posterior distribution, and the size of samples is larger, the results are more reliable.
Bayesian Inference of Empirical Coefficient in Foundation Settlement
Baysian theory, a new approach is proposed to determine the empirical coefficient in calculating soil settlement. The choice of prior distribution and the inference of posterior distribution are two important components of this method. According to previous knowledge available, the empirical coefficient determined by compression module in the interval [0.2–1.4], prior distribution is assessed uniform distribution in this interval. Posterior density function is developed in the condition of prior distribution combined with observed samples information based on bayes principle. Taking four locations in a passenger dedicated line for example, the results show that the posterior distribution of the empirical coefficient obeys Guass distribution parameter μ and σ. The value of μ is decreased gradually with the load on ground increased. In addition, the observed samples information has great influence on the posterior distribution, and the size of samples is larger, the results are more reliable.
Bayesian Inference of Empirical Coefficient in Foundation Settlement
Li, Zhen-Yu (author) / Wang, Yong-He (author) / Yang, Guo-Lin (author)
GeoHunan International Conference 2009 ; 2009 ; Changsha, Hunan, China
2009-07-13
Conference paper
Electronic Resource
English
Bayesian Inference of Empirical Coefficient in Foundation Settlement
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