Multi-Scale joints roughness characterization using wavelet and shear modeling
Mechanical behavior prediction of rock joints is very important in the rock mechanics. Many models have been proposed to predict the mechanical behavior of joints at which lack of correct evaluation of effective roughness coefficient has been the most important shortage. In this research, each of...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Online Access: | http://hdl.handle.net/20.500.11937/75184 |
| _version_ | 1848763448102486016 |
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| author | Sharifzadeh, Mostafa Mehri, S. Mirzaeian, Y. |
| author_facet | Sharifzadeh, Mostafa Mehri, S. Mirzaeian, Y. |
| author_sort | Sharifzadeh, Mostafa |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Mechanical behavior prediction of rock joints is very important in the rock mechanics. Many models have
been proposed to predict the mechanical behavior of joints at which lack of correct evaluation of effective roughness
coefficient has been the most important shortage. In this research, each of the upper and lower profiles of joint surfaces is
considered as a 2-dimensional wave. Then, multi-scale decomposition based on wavelet theory has been applied studying
on asperities. Upper and lower profiles have been combined to produce a composite surface having asperities characteristics
of both joint surfaces. Each of the composed wave components (roughness and undulation) has been characterized with
statistical quantity of arithmetic mean deviation (Ra). This procedure of characterizing for 2-dimensional waves has been
easily extended to 3-dimensional joint surfaces. Conformity in the results of shear and dilation modeling and laboratory
tests satisfactorily verifies success of the proposed procedure. |
| first_indexed | 2025-11-14T11:03:37Z |
| format | Conference Paper |
| id | curtin-20.500.11937-75184 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:03:37Z |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-751842019-04-04T08:29:46Z Multi-Scale joints roughness characterization using wavelet and shear modeling Sharifzadeh, Mostafa Mehri, S. Mirzaeian, Y. Mechanical behavior prediction of rock joints is very important in the rock mechanics. Many models have been proposed to predict the mechanical behavior of joints at which lack of correct evaluation of effective roughness coefficient has been the most important shortage. In this research, each of the upper and lower profiles of joint surfaces is considered as a 2-dimensional wave. Then, multi-scale decomposition based on wavelet theory has been applied studying on asperities. Upper and lower profiles have been combined to produce a composite surface having asperities characteristics of both joint surfaces. Each of the composed wave components (roughness and undulation) has been characterized with statistical quantity of arithmetic mean deviation (Ra). This procedure of characterizing for 2-dimensional waves has been easily extended to 3-dimensional joint surfaces. Conformity in the results of shear and dilation modeling and laboratory tests satisfactorily verifies success of the proposed procedure. Conference Paper http://hdl.handle.net/20.500.11937/75184 fulltext |
| spellingShingle | Sharifzadeh, Mostafa Mehri, S. Mirzaeian, Y. Multi-Scale joints roughness characterization using wavelet and shear modeling |
| title | Multi-Scale joints roughness characterization using wavelet and shear modeling |
| title_full | Multi-Scale joints roughness characterization using wavelet and shear modeling |
| title_fullStr | Multi-Scale joints roughness characterization using wavelet and shear modeling |
| title_full_unstemmed | Multi-Scale joints roughness characterization using wavelet and shear modeling |
| title_short | Multi-Scale joints roughness characterization using wavelet and shear modeling |
| title_sort | multi-scale joints roughness characterization using wavelet and shear modeling |
| url | http://hdl.handle.net/20.500.11937/75184 |