Back analysis method of homogeneous slope at critical state

2016 ◽  
Vol 21 (3) ◽  
pp. 670-675 ◽  
Author(s):  
Hang Lin ◽  
Jingyu Chen
2014 ◽  
Vol 1020 ◽  
pp. 423-428 ◽  
Author(s):  
Eva Hrubesova ◽  
Marek Mohyla

The paper deals with the back analysis method in geotechnical engineering, that goal is evaluation the more objective and reliable parameters of the rock mass on the basis of in-situ measurements. Stress, deformational, strength and rheological parameters of the rock mass are usually determined by some inaccuracies and errors arising from the complexity and variability of the rock mass. This higher or lower degree of imprecision is reflected in the reliability of the mathematical modelling results. The paper presents the utilization of direct optimization back analysis method, based on the theory of analytical functions of complex variable and Kolosov-Muschelischvili relations, to the evaluation of initial stress state inside the rock massif.


2015 ◽  
Vol 744-746 ◽  
pp. 527-530
Author(s):  
Ai Min Liu ◽  
Ai Jun ZhuGe

In the large-area soft foundation reinforcement project, the loading process is relatively complicated and the preloading load is not consistent with the service load in most cases; thus the conventional settlement curve fitting method cannot nicely predict the post-construction settlement of foundation under the service load. The back analysis method can be used to obtain the calculation parameters, so the settlement and consolidation conditions under various different loads at different time can be calculated and the foundation settlement hereby can be estimated exactly.


2011 ◽  
Vol 243-249 ◽  
pp. 4581-4586
Author(s):  
Lei Ming He ◽  
Li Hui Du ◽  
Jian Yang

In the numerical calculation of geotechnical project, it’s difficult to confirm the parameters because of the complexity and the uncertainty of them as the time is changing. However, the back-analysis provides us an effective way. Based on the result of the triaxial test on rock-fill of Shui Bu Ya CFRD, the thesis adopts the direct back-analysis method which combines the BP Neural Network and Genetic Algorithm to calculate the Tsinghua non-linear K-G model parameters of the rock-fill. The back-analysis parameters are used to simulate the filling process of Shui Bu Ya CFRD and predict the displacement of the dam. The thesis provides a technical reference for displacement back-analysis of soil parameters for CFRD.


Sign in / Sign up

Export Citation Format

Share Document