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.


  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 22-29
  • Monograph Title: Slope Stability, Retaining Walls, and Foundations: Selected Papers From the 2009 GeoHunan International Conference

Subject/Index Terms

Filing Info

  • Accession Number: 01142092
  • Record Type: Publication
  • ISBN: 9780784410493
  • Files: TRIS
  • Created Date: Oct 13 2009 3:45PM