Prediction of geological hazardous zones in front of a tunnel face using TSP-203 and artificial neural networks-Reference-Cited by-同舟云学术

Prediction of geological hazardous zones in front of a tunnel face using TSP-203 and artificial neural networks

Published:2008-11 Issue:6 Volume:23 Page:711-717
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Alimoradi Andisheh,Moradzadeh Ali,Naderi Reza,Salehi Mojtaba Zad,Etemadi Afshin

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference15 articles.

1. Alimoradi, A., 2006. A comparison between RMR values of TSP-203 and the real values. M.Sc. Thesis in Mine Exploration Engineering (Third Chapter), Shahrood University of Technology.

2. Amberg Measuring Technique, 2001. TSPwin, Processing & Evaluation Software, Manual Version 1.1. Amberg Co., Switzerland, 52p.

3. Amberg Measuring Technique, 2002. TSP 203 Processing. Amberg Co., Switzerland.

4. Engineering Rock Mass Classification;Bieniawski,1989

5. Delatte, N., Chen, S., and Maini, N., 2002. The application of nondestructive evaluation to subway tunnel systems. In: TRB 2003 Annual Meeting, pp. 2–8.

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