Nearest Linear Failure Surface, a New Method to Determine the Reliability of Numerical Models in Geomechanics

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Názov: Nearest Linear Failure Surface, a New Method to Determine the Reliability of Numerical Models in Geomechanics
Autori: Yousef Mirzaeian Lardkeyvan
Zdroj: Analytical and Numerical Methods in Mining Engineering, Vol 14, Iss 41, Pp 33-42 (2024)
Informácie o vydavateľovi: Yazd University, 2024.
Rok vydania: 2024
Zbierka: LCC:Mining engineering. Metallurgy
Predmety: reliability analysis, numerical models, nearest linear failure surface, geomechanical stability, first order reliability method (form), monte-carlo simulation, Mining engineering. Metallurgy, TN1-997
Popis: In geomechanical systems, reliability analysis aims to determine the failure probability according to the uncertainties existing in rock mass properties and support materials, as well as diagnosing the significance of each uncertainty. Although there are very diverse methods to determine the reliability of geomechanical models, the employment of precise methods for determining the reliability of a numerical model is practically impossible due to computational difficulties. The only general solution to solve the reliability problem is to use Monte Carlo simulation. However, for most systems, with engineering accuracy, thousands of realizations are required to use Monte Carlo simulation. Although this number of realizations for analytical functions can be performed very quickly, running this number of realizations for a numerical code is practically impossible. In the proposed Nearest Linear Failure Surface method (NLFS), with the least number of runs, the reliability of rock space and its failure probability is investigated during a short period of time and with appropriate accuracy. The idea of the NLFS method is inspired by finding the design point (β-point in the well-known First Order Reliability Method) assuming that the performance function is linear. In this research, a computer code has been developed to implement the NLFS method and by combining this code with FLAC 2D software, reliability of an underground road tunnel with uncertain cohesion, friction angle, and tensile strength of surrounding rock was determined. The results indicate the high efficiency of the proposed method in determining the reliability of numerical models in a very short time and with high accuracy.
Druh dokumentu: article
Popis súboru: electronic resource
Jazyk: English
Persian
ISSN: 2251-6565
2676-6795
Relation: https://anm.yazd.ac.ir/article_3621_8e32e3fa2f114b3d3978d11393a6367b.pdf; https://doaj.org/toc/2251-6565; https://doaj.org/toc/2676-6795
DOI: 10.22034/anm.2024.18529.1643
Prístupová URL adresa: https://doaj.org/article/a49c892f054043f7838a39b817b9875f
Prístupové číslo: edsdoj.49c892f054043f7838a39b817b9875f
Databáza: Directory of Open Access Journals
Popis
Abstrakt:In geomechanical systems, reliability analysis aims to determine the failure probability according to the uncertainties existing in rock mass properties and support materials, as well as diagnosing the significance of each uncertainty. Although there are very diverse methods to determine the reliability of geomechanical models, the employment of precise methods for determining the reliability of a numerical model is practically impossible due to computational difficulties. The only general solution to solve the reliability problem is to use Monte Carlo simulation. However, for most systems, with engineering accuracy, thousands of realizations are required to use Monte Carlo simulation. Although this number of realizations for analytical functions can be performed very quickly, running this number of realizations for a numerical code is practically impossible. In the proposed Nearest Linear Failure Surface method (NLFS), with the least number of runs, the reliability of rock space and its failure probability is investigated during a short period of time and with appropriate accuracy. The idea of the NLFS method is inspired by finding the design point (β-point in the well-known First Order Reliability Method) assuming that the performance function is linear. In this research, a computer code has been developed to implement the NLFS method and by combining this code with FLAC 2D software, reliability of an underground road tunnel with uncertain cohesion, friction angle, and tensile strength of surrounding rock was determined. The results indicate the high efficiency of the proposed method in determining the reliability of numerical models in a very short time and with high accuracy.
ISSN:22516565
26766795
DOI:10.22034/anm.2024.18529.1643