Study of Geotechnical Parameter for Metro Tunnel on Differential Evolution Algorithm

نویسندگان

  • Dehai Yu
  • Annan Jiang
  • Junxiang Wang
چکیده

The displacement back analysis is an effective means on inversion of rock mechanical parameters. Differential evolution algorithm has many advantages and good prospects to solve problems of geotechnical parameters. The program is used to the simulation of the true tunnel with C++ language, while it is embedded into differential evolution algorithm to achieve the inversion parameter. Applying to Line 1 of Dalian Metro, inversion parameters and true parameters of rock are close, which indicates the superiority and good prospects of differential evolution algorithm, and it can be used for quantitative analysis of tunnel engineering.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Numerical Investigation on Effects of Deep Excavations’ Position on Existing Metro Tunnels in Urban Areas

Nowadays deep excavations are needed for construction of foundation of high rise buildings, providing space for parking and etc. In some cases deep excavations may be constructed in the vicinity of the subway tunnels and causes unpredicted extra displacements and internal forces in tunnel lining of tunnels which were not designed for them and consequently affect serviceability of tunnel. Theref...

متن کامل

Intelligent Simulation and Inversion on Return Mapping and Differential Evolution Algorithm in Tunnel

The self-developed finite element program on return mapping algorithm is used for the simulation of true tunnel with C++ language, while the finite element program is embedded into differential evolution algorithm to incorporate rock mechanics parameters. Applying to Line 1 of Dalian Metro, inversion parameters and true parameters are found to be close, which indicates the superiority and good ...

متن کامل

A Differential Evolution and Spatial Distribution based Local Search for Training Fuzzy Wavelet Neural Network

Abstract   Many parameter-tuning algorithms have been proposed for training Fuzzy Wavelet Neural Networks (FWNNs). Absence of appropriate structure, convergence to local optima and low speed in learning algorithms are deficiencies of FWNNs in previous studies. In this paper, a Memetic Algorithm (MA) is introduced to train FWNN for addressing aforementioned learning lacks. Differential Evolution...

متن کامل

Fuzzy logic controlled differential evolution to solve economic load dispatch problems

In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...

متن کامل

Fuzzy logic controlled differential evolution to solve economic load dispatch problems

In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011