A New Intelligent Back-Analysis Method Based on Differential Evolution Algorithm

2009 ◽  
Author(s):  
Guoshao Su
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Back Analysis ◽  
Analysis Method ◽  
Evolution Algorithm

scholarly journals Tunnel Back Analysis Based on Differential Evolution Using Stress and Displacement

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Joon-Sang An ◽  
Kyung-Nam Kang ◽  
Ju-Young Choi ◽  
Won-Suh Sung ◽  
Vathna Suy ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Back Analysis ◽  
Friction Angle ◽  
Internal Displacement ◽  
Average Error ◽  
Analysis Algorithm ◽  
Evolution Algorithm ◽  
Displacement Based ◽  
The Stability

The stability of tunnels has mainly been evaluated based on displacement. Because displacement due to the excavation process is significant, back analysis of the structure and ground can be performed easily. Recently, the length of a segment-lined tunnel driven by the mechanized tunneling method is increasing. Because the internal displacement of a segment-lined tunnel is trivial, it is difficult to analyze the stability of segment-lined tunnels using the conventional method. This paper proposes a back analysis method using stress and displacement information for a segment-lined tunnel. A differential evolution algorithm was adopted for tunnel back analysis. Back analysis based on the differential evolution algorithm using stress and displacement was established and performed using the finite difference code, FLAC3D, and built-in FISH language. Detailed flowcharts of back analysis based on DEA using both monitored displacement stresses were also suggested. As a preliminary study, the target variables of the back analysis adopted in this study were the elastic modulus, cohesion, and friction angle of the ground. The back analysis based on the monitored displacement is useful when the displacement is significant due to excavation. However, the conventional displacement-based back analysis is unsuitable for a segment-lined tunnel after construction because of its trivial internal displacement since the average error is greater than 32% and the evolutionary calculation is finalized due to the maximum iteration criteria. The average error obtained from the proposed back analysis algorithm using both stress and displacement ranged within approximately 6–8%. This also confirms that the proposed back analysis algorithm is suitable for a segment-lined tunnel.

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.

scholarly journals Tunnel Engineering Seepage Parameters Intelligent Back Analysis Based on FEM and Differential Evolution Algorithm

2016 ◽  
Vol 10 (1) ◽  
pp. 641-652 ◽  
Author(s):  
C.J. Ma ◽  
A.N. Jiang ◽  
Q. Wang
Keyword(s):  
Differential Evolution ◽  
Continuous Medium ◽  
Water Pressure ◽  
Differential Evolution Algorithm ◽  
Back Analysis ◽  
Finite Element Models ◽  
Seepage Analysis ◽  
C Language ◽  
Evolution Algorithm ◽  
Good Agreement

To determine the seepage parameters of surrounding rock during excavation of tunnels, a program of groundwater seepage (SEEP) was developed. Then finite element models are established in SEEP with the consideration of seepage equations for continuous medium, and the correctness was verified by the comparison of FLAC3D. Moreover, seepage back analysis program (SBAP) was developed in C++ language by combining differential evolution algorithm (DE) and SEEP, and the measured values of water pressure and flow were used as input data, SBAP was applied to predict the horizontal and vertical hydraulic conductivities of the different stratum. The hydraulic conductivities predicted were inputted to SEEP, the computed values of water pressure and flow calculated by SEEP are in good agreement with the measured values. SBAP shows the faster convergence speed and precise feedback results. This program provides a means for engineers and researchers to determine seepage parameters in the seepage analysis of similar tunnel projects.

scholarly journals Fuzzy Input Parameters Influence on the Oscillation of a 2D Frame Structure Subjected to Harmonic Dynamic Load

2020 ◽  
Vol 55 (4) ◽  
Author(s):  
Cong Duy Le ◽  
Dinh Thoai Phan
Keyword(s):  
Differential Equations ◽  
Differential Evolution ◽  
Dynamic Load ◽  
Differential Evolution Algorithm ◽  
Frame Structure ◽  
Mode Analysis ◽  
Analysis Method ◽  
Fuzzy Input ◽  
Input Parameters ◽  
Evolution Algorithm

In [1], we presented a new method for solving the fuzzy differential equations of oscillation with fuzzy input parameters. The new method is based on the domain mode analysis method combined with a differential evolution algorithm to determine the fuzzy output parameters and the fuzzy displacements at each floor of the frame. In this article, we continue to develop and expand the solution of the fuzzy vibration differential equations of the 2D frame under the excitation of harmonic dynamic load. The solution based on the domain mode analysis method is combined with a hybrid crossover differential evolution algorithm. This algorithm is more advanced than previous traditional differential evolutionary optimizations because it converts quickly and prevents the search process from falling into a local solution. An example for illustrating the algorithm is to analyse the oscillation of the 2-span and 9-storey 2D frame structure subjected to harmonic dynamic load with fuzzy input parameters. The calculation results in the MATLAB software show the results of the fuzzy displacements and fuzzy internal force of the frame. Next, they show the relationship between the oscillation frequency and the displacement and moment of the frame structure. This is important and should be considered in the design as well as in the reliability assessment of the structures.

Modified differential evolution algorithm for semi-supervised fuzzy clustering

2009 ◽  
Vol 29 (4) ◽  
pp. 1046-1047
Author(s):  
Song-shun ZHANG ◽  
Chao-feng LI ◽  
Xiao-jun WU ◽  
Cui-fang GAO
Keyword(s):  
Differential Evolution ◽  
Fuzzy Clustering ◽  
Differential Evolution Algorithm ◽  
Evolution Algorithm
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