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 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 Harmonic Elimination in Uniform Step Nine-Level Inverter Using Differential Evolution: Experimental Validation

2021 ◽  
Vol 25 (1) ◽  
pp. 31-36
Author(s):  
Rim Feyrouz Abdelgoui ◽  
◽  
Rachid Taleb ◽  
Abderrahim Bentaallah ◽  
Fayçal Chabni ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Output Voltage ◽  
Pulse Width Modulation ◽  
Differential Evolution Algorithm ◽  
Modulation Method ◽  
Harmonic Elimination ◽  
Voltage Quality ◽  
Theoretical Predictions ◽  
Evolution Algorithm ◽  
Good Agreement

This study presents the application of differential evolution algorithm to compute optimal switching angles for a single-phase nine-level inverter to improve the output voltage quality. The topology of the proposed inverter in this article is a simple cascade converter composed of two H-bridge cells with non-equal DC voltage sources in order to generate multiple voltage levels. Selective harmonic elimination pulse width modulation strategy is used to improve the generated AC output voltage waveform. The differential evolution optimization algorithm is used to solve non-linear transcendental equations necessary for the (SHPWM). Computational results obtained from computer simulations presented a good agreement with the theoretical predictions. A laboratory prototype based on STM32F407 microcontroller was built in order to validate the simulation results. The experimental results show the effectiveness of the proposed modulation method.

Differential Evolution Algorithm Used for Parameters Reconstruction of Fiber Gratings

2011 ◽  
Vol 422 ◽  
pp. 87-90
Author(s):  
Xiao Yan Wen ◽  
Yu Qian ◽  
Nie Fei
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Structure Parameters ◽  
Reflection Spectra ◽  
Fiber Gratings ◽  
Numerical Examples ◽  
Reverse Problem ◽  
De Algorithm ◽  
Evolution Algorithm ◽  
Good Agreement

Differential Evolution (DE) algorithm has been used to solve the reverse problem of fiber gratings, namely, reconstructing the structure parameters of uniform and chirped fiber gratings from the target reflection spectra. The reconstructed parameters and corresponding spectra are in good agreement with the target ones. Numerical examples demonstrate the highly efficiency and accuracy of DE algorithm in solving the reverse problem of fiber Gratings.

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
Sign in / Sign up

Export Citation Format

Share Document