Why Engineers Should Not Attempt to Quantify GSI

Author:

Yang BeverlyORCID,Elmo DavideORCID

Abstract

In the past decade, there has been an increasing trend of digitalizing rock engineering processes. However, this process has not been accompanied by a critical analysis of the very same empirical methods that many complex numerical and digital methods are founded upon. As engineers, we are taught to use and trust numbers. Indeed, we would not be able to define the factor of the safety of a structure without numbers. However, what happens when those numbers are nothing but numerical descriptions of qualitative assessments? In this paper we present a critical review of the many attempts presented in the literature to quantify GSI (geological strength index). To the authors’ knowledge, this paper represents the first time that all the different GSI tables and quantification methods that have been proposed over the past two decades are collated and compared critically. In our critique, we argue against the paradigm whereby the quantification process adds the experience factor for inexperienced engineers. Furthermore, we discuss the limitations of the notion that GSI quantification methods could transform subjectivity into objectivity since the parameters under considerations are not quantitative measurements. Relying on empirically defined quantitative equivalences raises important questions, particularly when these quantitative equivalences are being used to define so-called accurate rock mass classification input for design purposes.

Funder

Natural Sciences and Engineering Research Council of Canada

Mitacs

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference64 articles.

1. Why the future of rock mass classification systems requires revisiting its empirical past;Q. J. Rock Eng. Hydrogeol.,2021

2. Elmo, D., Mitelman, A., and Yang, B. (2022). An examination of rock engineering knowledge through a philosophical lens. Geosciences, 12.

3. Strength of rock and rock masses;ISRM News J.,1994

4. Hoek, E., Kaiser, P.K., and Bawden, W.F. (2022, September 26). Support of Underground Excavations in Hard Rock. Available online: ==https://www.mirarco.org/wp-content/uploads/Books/Support_of_Underground_Excavations_in_Hard_Rock.pdf.

5. Da Fontoura, S.A., Rocca, R.J., and Pavón Mendoza, J.F. (2019). Rock Mechanics for Natural Resources and Infrastructure Development, Taylor & Francis Group.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3