Title :
Research on optimizing design for the treatment of talus slop
Author :
Quanmin, Xie ; Hongbin, Wang
Author_Institution :
Sch. of Civil Eng. & Archit., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Based on analysis of Sanlihua talus slope formation mechanism in Yi-ba expressway, the paper adopts the limit equilibrium method and numerical analysis method to evaluate its stability. The result shows that, it can not achieve the design criterionand must be reinforced. According to its stability conditions and characteristics, anti-slide pile and surface drainage are used to treat the talus slope. In order to optimize treatment scheme, with the computational results, this paper designs a certain amount of anti-slide pile reinforced schemes and separately calculates the stability and engineering cost. Then, the paper takes them as study samples of evolutionary neural network, establishes the nonlinear mapping relationship among design parameters, stability of reinforced, cost of schemes, and uses genetic algorithm to search the optimal design parameters in the global scope, and then chooses the reasonable treatment scheme of Sanlihua talus slope. It turns out to be that, the optimized treatment scheme enables us to reduce the cost, achieve the expected goal and perfect effect.
Keywords :
design engineering; foundations; genetic algorithms; mechanical stability; neural nets; numerical analysis; road building; rocks; structural engineering computing; Sanlihua talus slope formation; Yi-ba expressway; anti-slide pile reinforced scheme; engineering cost; evolutionary neural network; genetic algorithm; limit equilibrium method; nonlinear mapping; numerical analysis; optimal design parameter; optimizing design; stability; surface drainage; Algorithm design and analysis; Cost function; Design engineering; Design optimization; Genetic algorithms; Neural networks; Numerical analysis; Numerical stability; Stability analysis; Surface treatment; component; evolutionary neural network; numerical analysis; talus slope; treatment optimization;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5536281