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

Prediction of external 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
Key Engineering Materials (Volumes 462-463)
Edited by
Ahmad Kamal Ariffin, Shahrum Abdullah, Aidy Ali, Andanastuti Muchtar, Mariyam Jameelah Ghazali and Zainuddin Sajuri
Pages
1319-1324
DOI
10.4028/www.scientific.net/KEM.462-463.1319
Citation
A. Kasa, Z. Chik, T. Mohd Raihan, "Prediction of External Stability for Geogrid-Reinforced Segmental Walls", Key Engineering Materials, Vols. 462-463, pp. 1319-1324, 2011
Online since
January 2011
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: Zhen Zhu Yu, Lian Xiang Ma
Abstract:Different temperature, different frequency, different recipe, then heat generation ratio of carbon black/rubber composites will be different....
369
Authors: Anuar Kasa, Zamri Chik, Taha Mohd Raihan
Abstract:Prediction of internal stability for segmental retaining walls reinforced with geogrid and backfilled with residual soil was carried out...
1854
Authors: Jianmin Sun, Qing Mei Yang
Abstract:For practical operation conditions of engine cylinder, piston speed and lateral pressure to cylinder wall are determined as experimental...
1918
Authors: Ying Li Liu, Te Liang Yan, Shu Qing Zhang
Abstract:Concrete quadratic transfer beam is definite completely based on the specifications. It is using ANSYS finite element software to optimize...
1257
Authors: Ya Hong Zhao, Jin Xing Wang, Lu Yang Ren
Abstract:In this paper, multinomial curved surface fitting method is used to analyze the feasibility of the GPS leveling height fitting and...
2844