Rock squeezing prediction by a support vector machine classifier

A. Shafiei, H. Parsaei, M. B. Dusseault

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Redistribution of in situ stresses so they exceed rock strength leads to yielding of the intact rock material around a tunnel after excavation, causing large plastic deformations often referred to as ground squeezing. This tunneling problem typically occurs during deep tunneling in weak rock such as shales and weak schists where volumetric dilatancy accompanies the process of rock yield and deterioration. In this article, a decision support system to assist a tunnel engineer in making a decision on tunnel route design, selection of excavation technique or mitigation measures is presented. A support vector machine-based supervised classifier is proposed which employs the Q tunneling index and depth of the tunnel to predict risk of rock squeezing. Performance analysis using extensive field data obtained from several tunnels around the world indicated that the developed system is more accurate than heuristic systems currently in use. The proposed system provides a posterior probability as a support for the decision being made that can be used to assess the acceptability level of the prediction.

Original languageEnglish
Title of host publication46th US Rock Mechanics / Geomechanics Symposium 2012
PublisherAmerican Rock Mechanics Association (ARMA)
Pages489-503
Number of pages15
Volume1
ISBN (Print)9781622765140
Publication statusPublished - Dec 1 2012
Externally publishedYes
Event46th US Rock Mechanics / Geomechanics Symposium 2012 - Chicago, IL, United States
Duration: Jun 24 2012Jun 27 2012

Conference

Conference46th US Rock Mechanics / Geomechanics Symposium 2012
CountryUnited States
CityChicago, IL
Period6/24/126/27/12

Fingerprint

Support vector machines
Tunnels
Classifiers
tunnel
Rocks
prediction
rock
Excavation
excavation
weak rock
dilatancy
in situ stress
plastic deformation
decision support system
Decision support systems
heuristics
schist
Deterioration
Plastic deformation
support vector machine

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology

Cite this

Shafiei, A., Parsaei, H., & Dusseault, M. B. (2012). Rock squeezing prediction by a support vector machine classifier. In 46th US Rock Mechanics / Geomechanics Symposium 2012 (Vol. 1, pp. 489-503). American Rock Mechanics Association (ARMA).

Rock squeezing prediction by a support vector machine classifier. / Shafiei, A.; Parsaei, H.; Dusseault, M. B.

46th US Rock Mechanics / Geomechanics Symposium 2012. Vol. 1 American Rock Mechanics Association (ARMA), 2012. p. 489-503.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shafiei, A, Parsaei, H & Dusseault, MB 2012, Rock squeezing prediction by a support vector machine classifier. in 46th US Rock Mechanics / Geomechanics Symposium 2012. vol. 1, American Rock Mechanics Association (ARMA), pp. 489-503, 46th US Rock Mechanics / Geomechanics Symposium 2012, Chicago, IL, United States, 6/24/12.
Shafiei A, Parsaei H, Dusseault MB. Rock squeezing prediction by a support vector machine classifier. In 46th US Rock Mechanics / Geomechanics Symposium 2012. Vol. 1. American Rock Mechanics Association (ARMA). 2012. p. 489-503
Shafiei, A. ; Parsaei, H. ; Dusseault, M. B. / Rock squeezing prediction by a support vector machine classifier. 46th US Rock Mechanics / Geomechanics Symposium 2012. Vol. 1 American Rock Mechanics Association (ARMA), 2012. pp. 489-503
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