Risk assessment in a rock slope stability analysis using a Mamdani fuzzy controller
Abstract The shearing behavior of discontinuities is one of the factors with major influence on rock slope stability analysis, which is predictable when adopting different analytical models. However, these methodologies, generally of a purely deterministic nature, do not allow an assessment of the i...
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| Format: | Article |
| Language: | English |
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Fundação Gorceix
2023-09-01
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| Series: | REM: International Engineering Journal |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2023000400313&lng=en&tlng=en |
| _version_ | 1797673942055387136 |
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| author | Yago Machado Pereira de Matos Silvrano Adonias Dantas Neto Guilherme de Alencar Barreto |
| author_facet | Yago Machado Pereira de Matos Silvrano Adonias Dantas Neto Guilherme de Alencar Barreto |
| author_sort | Yago Machado Pereira de Matos |
| collection | DOAJ |
| description | Abstract The shearing behavior of discontinuities is one of the factors with major influence on rock slope stability analysis, which is predictable when adopting different analytical models. However, these methodologies, generally of a purely deterministic nature, do not allow an assessment of the influence of the variability of the input parameters of the models on the shear behavior of unfilled rock discontinuities and, consequently, on the risk involved in the rock slope stability analyses. The purpose of this article is to present a methodology for rock slope risk assessment based on the development of a model to predict the shear behavior of unfilled rock discontinuity considering the variability of its input parameters, using a Mamdani fuzzy controller. The input variables of the model are the boundary normal stiffness and initial normal stress acting on the discontinuity, its roughness, the uniaxial compressive strength, the basic angle of friction of the intact rock and the shear displacement imposed on the discontinuity. The model outputs are the membership functions for the shear strength and dilation of the unfilled rock discontinuity, and from which the membership function can be defined for the factor of safety of the rock slope considering the failure mechanism governed by discontinuity. The results reveal the use and importance of fuzzy logic and fuzzy number operations in assessing the risk in rock slopes and may be used even in situations where there are major uncertainties on the existing information of the characteristics of the unfilled discontinuities. |
| first_indexed | 2024-03-11T21:52:05Z |
| format | Article |
| id | doaj.art-b07fdf8ca7f44d00ae9c6ce23cd2566c |
| institution | Directory Open Access Journal |
| issn | 2448-167X |
| language | English |
| last_indexed | 2024-03-11T21:52:05Z |
| publishDate | 2023-09-01 |
| publisher | Fundação Gorceix |
| record_format | Article |
| series | REM: International Engineering Journal |
| spelling | doaj.art-b07fdf8ca7f44d00ae9c6ce23cd2566c2023-09-26T07:44:30ZengFundação GorceixREM: International Engineering Journal2448-167X2023-09-0176431332010.1590/0370-44672022760061Risk assessment in a rock slope stability analysis using a Mamdani fuzzy controllerYago Machado Pereira de Matoshttps://orcid.org/0000-0003-4676-5140Silvrano Adonias Dantas Netohttps://orcid.org/0000-0002-9951-4938Guilherme de Alencar Barretohttps://orcid.org/0000-0002-7002-1216Abstract The shearing behavior of discontinuities is one of the factors with major influence on rock slope stability analysis, which is predictable when adopting different analytical models. However, these methodologies, generally of a purely deterministic nature, do not allow an assessment of the influence of the variability of the input parameters of the models on the shear behavior of unfilled rock discontinuities and, consequently, on the risk involved in the rock slope stability analyses. The purpose of this article is to present a methodology for rock slope risk assessment based on the development of a model to predict the shear behavior of unfilled rock discontinuity considering the variability of its input parameters, using a Mamdani fuzzy controller. The input variables of the model are the boundary normal stiffness and initial normal stress acting on the discontinuity, its roughness, the uniaxial compressive strength, the basic angle of friction of the intact rock and the shear displacement imposed on the discontinuity. The model outputs are the membership functions for the shear strength and dilation of the unfilled rock discontinuity, and from which the membership function can be defined for the factor of safety of the rock slope considering the failure mechanism governed by discontinuity. The results reveal the use and importance of fuzzy logic and fuzzy number operations in assessing the risk in rock slopes and may be used even in situations where there are major uncertainties on the existing information of the characteristics of the unfilled discontinuities.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2023000400313&lng=en&tlng=enunfilled jointsrock slope stability analysisrisk assessmentMamdani |
| spellingShingle | Yago Machado Pereira de Matos Silvrano Adonias Dantas Neto Guilherme de Alencar Barreto Risk assessment in a rock slope stability analysis using a Mamdani fuzzy controller REM: International Engineering Journal unfilled joints rock slope stability analysis risk assessment Mamdani |
| title | Risk assessment in a rock slope stability analysis using a Mamdani fuzzy controller |
| title_full | Risk assessment in a rock slope stability analysis using a Mamdani fuzzy controller |
| title_fullStr | Risk assessment in a rock slope stability analysis using a Mamdani fuzzy controller |
| title_full_unstemmed | Risk assessment in a rock slope stability analysis using a Mamdani fuzzy controller |
| title_short | Risk assessment in a rock slope stability analysis using a Mamdani fuzzy controller |
| title_sort | risk assessment in a rock slope stability analysis using a mamdani fuzzy controller |
| topic | unfilled joints rock slope stability analysis risk assessment Mamdani |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2023000400313&lng=en&tlng=en |
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