Modeling Microtunnel Boring Machine Penetration Rate Using a Mechanistic Approach-Reference-Cited by-同舟云学术

Modeling Microtunnel Boring Machine Penetration Rate Using a Mechanistic Approach

Published:2022-11 Issue:11 Volume:148 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Moharrami Saeid¹^ORCID,Bayat Alireza²,AbouRizk Simaan³^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9105 116 St., 5-080 NREF, Edmonton, AB, Canada T6G 2W2. ORCID: .

2. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9211-116 St., 7-243 D-ICE, Edmonton, AB, Canada T6G 2W2.

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9105 116 St., 5-080 NREF, Edmonton, AB, Canada T6G 2W2 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002402

Reference29 articles.

1. Bamford W. F. 1984. “Rock test indices are being successfully correlated with tunnel boring machine performance.” In Vol. 2 of Proc. 5th Australian Tunneling Conf. 9–22. Barton ACT Australia: Institution of Engineers Australia.

2. Bruland A. 1998. “Hard rock tunnel boring.” Ph.D. thesis Dept. of Civil and Environmental Engineering Norwegian Univ. of Science and Technology.

3. Mean Absolute Percentage Error for regression models

4. Elwakil E. and M. Hegab. 2018. “Probabilistic estimation for microtunneling projects’ penetration time.” In Proc. ICCREM 2018: Construction Enterprises and Project Management 27–33. Reston VA: ASCE. https://doi.org/10.1061/9780784481752.004.

5. Mechanics of disc cutter penetration