A new displacement back analysis to identify mechanical geo-material parameters based on hybrid intelligent methodology

2004 ◽  
Vol 28 (11) ◽  
pp. 1141-1165 ◽  
Author(s):  
Xia-Ting Feng ◽  
Hongbo Zhao ◽  
Shaojun Li
Keyword(s):  
Back Analysis ◽  
Material Parameters ◽  
Displacement Back Analysis

scholarly journals Analysis of displacement of excavation based on inclinometer measurements

2012 ◽  
Vol 34 (4) ◽  
pp. 3-16 ◽  
Author(s):  
Karolina Gorska ◽  
Marek Wyjadłowski
Keyword(s):  
Theoretical Calculations ◽  
Back Analysis ◽  
Field Measurements ◽  
Soil Medium ◽  
Geotechnical Parameters ◽  
Angle Of Internal Friction ◽  
Material Parameters ◽  
Bored Pile ◽  
Excavation Process ◽  
Excavation Support

Abstract The article presents back analysis to estimate geotechnical parameters of fill layer. The agreement between field measurements and theoretical calculations was examined. Displacements of a cantilever CFA bored pile wall were monitored. The inclinometric measurements were taken directly after pile construction and according to excavation process. Over 200 calculation series were performed, with changing fill parameters. The calculations employed the actual geometric and material parameters of the pile wall, as well as geotechnical parameters of layered soil. The parameters estimated through back analysis were the angle of internal friction and Young’s modulus of fill layer. In the case discussed, pile wall cap displacement was the response of the system, and soil medium parameters were the input data. The agreement between theoretical calculations and inclinometer measurements was assessed in accordance with two functions. The measured horizontal displacements of excavation support structure assumed different values at the two inclinometer sites analysed. Back analysis results for these sites are approximately convergent for a final excavation depth.

Back Analysis for Mass Parameters of Tunnel Surrounding Rock

2012 ◽  
Vol 170-173 ◽  
pp. 20-24 ◽  
Author(s):  
Kai Cui ◽  
Xue Kai Pan
Keyword(s):  
Deformation Mechanism ◽  
Strain Softening ◽  
Back Analysis ◽  
Surrounding Rock ◽  
Tunnel Engineering ◽  
Railway Tunnel ◽  
Displacement Back Analysis ◽  
Information Construction ◽  
Engineering Information ◽  
The Common

Tunnel engineering information construction has been widely used, and the back analysis is its core. As the common useful method, displacement back analysis is of special advantages. This paper introduces the calculative method based on the application in a railway tunnel. The result shows that strain softening model can be used to simulate the large deformation mechanism of surrounding rock.

Back Analysis of Material Parameters of Concrete Dam Using Genetic Algorithm

2012 ◽  
Vol 562-564 ◽  
pp. 1955-1958
Author(s):  
Jin Bao Liu ◽  
Shou Ju Li ◽  
Wei Zhu
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Optimization Problem ◽  
Back Analysis ◽  
Water Level Change ◽  
Concrete Dam ◽  
Material Parameters ◽  
Level Change ◽  
Inversion Procedure ◽  
The Difference

The inverse problem of parameter identification is deal with by minimizing an objective function that contains the difference between observed and calculated dam displacements. The optimization problem of minimizing objective function is solved with genetic algorithm. The calculated dam displacements are simulated by using finite element method according to water level change acting on dam upstream. The practical dam displacements are observed on the dam crest. The investigation shows that the forecasted dam displacements agree well with observed ones. The effectiveness of proposed inversion procedure is validated.

Back-Analysis of Indoor Test Parameters for Rock-Fill of Shui Bu Ya CFRD

2011 ◽  
Vol 243-249 ◽  
pp. 4581-4586
Author(s):  
Lei Ming He ◽  
Li Hui Du ◽  
Jian Yang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Back Analysis ◽  
Soil Parameters ◽  
Model Parameters ◽  
Analysis Method ◽  
Filling Process ◽  
Rock Fill ◽  
Test Parameters ◽  
Displacement Back Analysis

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.

Displacement Back Analysis Based on Differential Evolution Algorithm in Metro Station Engineering

2011 ◽  
Vol 55-57 ◽  
pp. 527-532
Author(s):  
An Nan Jiang ◽  
Jun Xiang Wang
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Back Analysis ◽  
Engineering Practice ◽  
Construction Process ◽  
Analysis Program ◽  
Global Optimization Algorithm ◽  
Metro Station ◽  
Displacement Back Analysis ◽  
Evolution Algorithm

In this paper differential evolution algorithm (DE) which is a new global optimization algorithm is introduced into the displacement back analysis, and the self-developed back analysis program based on DE is used in metro station engineering. The results show that the superiority of DE and the practicability of intelligent displacement back analysis program, more importantly, it is being applied to engineering practice to provide reference and advanced prediction for the construction process.

Study of Back Analysis of Material Parameters of Mass Concrete

2011 ◽  
Vol 52-54 ◽  
pp. 768-772
Author(s):  
Wen Gai Lan ◽  
Xin Ming Zhao
Keyword(s):  
Kalman Filtering ◽  
Back Analysis ◽  
Mass Concrete ◽  
Mechanical Parameters ◽  
Coupling Problem ◽  
Filtering Theory ◽  
Filtering Method ◽  
Material Parameters ◽  
Research Fields ◽  
First Time

The Kalman filtering theory was applied for the back analysis of mechanical parameters of mass concrete on the first time. The time-spreading equation and the observation-correcting equation were deduced. After the coupling problem of extending Kalman filtering theory and FEM was solved, the Kalman-FEM formula were deduced and the corresponding back analysis procedures were given. The results indicate that the Kalman filtering method has good characteristics of convergence and stability. The broached method can be used in other research fields such as the back analysis of creeping parameters. Many more conclusions are tested and discussed through a classic example.

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