Challenges Associated with Numerical Back Analysis in Rock Mechanics
-
2022/12/01
Details
-
Personal Author:
-
Description:Numerical back analysis is a valuable tool available to rock mechanics researchers and practitioners. Recent studies related to back analysis methods focused primarily on applications of increasingly sophisticated optimization algorithms (primarily machine learning algorithms) to rock mechanics problems. These methods have typically been applied to relatively simple problems; however, more complex back analyses continue to be conducted primarily through ad hoc manual trial-and-error processes. This paper provides a review of the basic concepts and recent developments in the field of numerical back analysis for rock mechanics, as well as some discussion of the relationship between back analysis and more broadly established frameworks for numerical modelling. The challenges of flexible constraints, non-uniqueness, material model limitations, and disparate data sources are considered, and representative case studies are presented to illustrate their impacts on back analyses. The role of back analysis (or "model calibration") in bonded particle modelling (BPM), bonded block modelling (BBM), and synthetic rock mass (SRM) modelling is also considered, and suggestions are made for further studies on this topic. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISSN:1674-7755
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Volume:14
-
Issue:6
-
NIOSHTIC Number:nn:20067934
-
Citation:J Rock Mech Geotech Eng 2022 Dec; 14(6):2058-2071
-
Contact Point Address:Gabriel Walton, Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO, 80401, USA
-
Email:gwalton@mines.edu
-
Federal Fiscal Year:2023
-
Performing Organization:Colorado School of Mines, Golden
-
Peer Reviewed:True
-
Start Date:20160915
-
Source Full Name:Journal of Rock Mechanics and Geotechnical Engineering
-
End Date:20210914
-
Collection(s):
-
Main Document Checksum:urn:sha-512:348037ad90c13076c11e2fd0484eeb04ba8ad5519edb9043522fd8c614e2f43d0e194f2cb4add55c0dc5449c1b842bd903c0693175c0ad007f09d1b32222734b
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like