NDLI: Risk Assessment and Estimation of TBM Penetration Rate Using RES-Based Model

Content Provider	Springer Nature Link
Author	Fattahi, Hadi Moradi, Ali
Copyright Year	2016
Abstract	The tunnel boring machine (TBM) penetration rate (PR) estimation is one of the crucial and complex tasks encountered frequently to excavate the mechanical tunnels. Predicting the PR is a nonlinear and multivariable complex problem and establishing relationship between rock properties and PR is not a simple task. To overcome this problem, in this paper, based on the basic concepts of a rock engineering systems (RES) approach, a model for the estimation of the PR and the risk associated is presented. The suggested model involves 6 effective parameters on PR (uniaxial compressive strength (UCS), ratio of the maximum load (PSI), average distance between planes of weakness (DPW), angle between tunnel axis and the planes of weakness (Alpha), Brazilian tensile strength (BTS) and rock fracture class (RFC)), while retaining simplicity as well. The performance of the RES model is compared with multiple regression models. The estimation abilities offered using RES and multiple regression models were presented by using field data given in open source literatures. The results indicate that the RES based model predictor with less mean square error (MSE) and higher coefficient of determination (R2) performs better than the other models (used in this study).
Starting Page	365
Ending Page	376
Page Count	12
File Format	PDF
ISSN	09603182
Journal	Geotechnical and Geological Engineering
Volume Number	35
Issue Number	1
e-ISSN	15731529
Language	English
Publisher	Springer International Publishing
Publisher Date	2016-10-26
Publisher Place	Cham
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	TBM Rock properties Penetration rate Rock engineering systems Multiple regression models Geotechnical Engineering & Applied Earth Sciences Hydrogeology Terrestrial Pollution Waste Management/Waste Technology Civil Engineering
Content Type	Text
Resource Type	Article
Subject	Soil Science Geology Architecture Geotechnical Engineering and Engineering Geology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Parameter Study on Prediction Methods for TBM Penetration Rate

Theoretical Study on the TBM Tool-Rock Interaction

A Critical Comparison of Regression Models and Artificial Neural Networks to Predict Ground Vibrations

A Study on Isotropic Rock Breaking with TBM Cutters Under Different Confining Stresses

Estimation of the Variability of Tailings Dams Properties in Order to Perform Probabilistic Assessment

Assessment of the Theoretical Net Relief Drilling Rate for Conductor Pipes

Preface: Special Issue on Selected Topics in Rock Mechanics and Rock Engineering

Predictive Relationship for Estimation of Vs30 Using Shallow Bore Logs for Karachi

New Prediction Models for Mean Particle Size in Rock Blast Fragmentation

Risk Assessment and Estimation of TBM Penetration Rate Using RES-Based Model

Similar Documents

Parameter Study on Prediction Methods for TBM Penetration Rate

Theoretical Study on the TBM Tool-Rock Interaction

A Critical Comparison of Regression Models and Artificial Neural Networks to Predict Ground Vibrations

A Study on Isotropic Rock Breaking with TBM Cutters Under Different Confining Stresses

Estimation of the Variability of Tailings Dams Properties in Order to Perform Probabilistic Assessment

Assessment of the Theoretical Net Relief Drilling Rate for Conductor Pipes

Preface: Special Issue on Selected Topics in Rock Mechanics and Rock Engineering

Predictive Relationship for Estimation of Vs30 Using Shallow Bore Logs for Karachi

New Prediction Models for Mean Particle Size in Rock Blast Fragmentation

Risk Assessment and Estimation of TBM Penetration Rate Using RES-Based Model