Paper Title:
Prediction of Internal Stability for Geogrid-Reinforced Segmental Walls
  Abstract

Prediction of internal stability for segmental retaining walls reinforced with geogrid and backfilled with residual soil was carried out using statistical methods and artificial neural networks (ANN). Prediction was based on data obtained from 234 segmental retaining wall designs using procedures developed by the National Concrete Masonry Association (NCMA). The study showed that prediction made using ANN was generally more accurate to the target compared with statistical methods using mathematical models of linear, pure quadratic, full quadratic and interactions.

  Info
Periodical
Advanced Materials Research (Volumes 163-167)
Edited by
Lijuan Li
Pages
1854-1857
DOI
10.4028/www.scientific.net/AMR.163-167.1854
Citation
A. Kasa, Z. Chik, T. Mohd Raihan, "Prediction of Internal Stability for Geogrid-Reinforced Segmental Walls", Advanced Materials Research, Vols. 163-167, pp. 1854-1857, 2011
Online since
December 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: M. Arjomandi, S.H. Sadati, H. Khorsand, H. Abdoos
Abstract:Determination of the temperature at which Austenite is formed is one of the important parameters in the heat treatment process. Chemical...
335
Authors: Wei Guo Zhao, Li Ying Wang
Abstract:A daily discharge prediction system is developed by the Artificial Neural Networks (ANN) using real daily discharge data, ANN have great...
2799
Authors: B. Zhao
Abstract:In this work, the artificial neural network model and statistical regression model are established and utilized for predicting the fiber...
74
Authors: Fang Xian Li, Qi Jun Yu, Jiang Xiong Wei, Jian Xin Li
Abstract:An artificial neural network (ANN) is presented to predict the workability of self compacting concrete (SCC) containing slump, slump flow and...
1730
Authors: K. Zarrabi, W.W. Lu, A.K. Hellier
Abstract:This paper proposes a new three-layer artificial neural network (ANN) to predict the fatigue crack length under constant amplitude mode I...
3