Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniques
Uniaxial compressive strength (UCS) is the most used parameter to measure rock strength. However, restrictions in sampling large volume of material, the need of very large set of results and onsite characterisation of UCS non-destructively are requirements in many scientific and engineering investig...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/704779 |
| Acceso en línea: | http://hdl.handle.net/10486/704779 https://dx.doi.org/10.1016/j.ijrmms.2021.104915 |
| Access Level: | acceso abierto |
| Palabra clave: | Leeb Hardness Micro-Drilling Minimally-Invasive Technique Open Porosity P-wave Velocity Resistance Force Rock Strength Stone Decay Strength Estimation Uniaxial Compressive Strength Geología |
| id |
ES_69721ee8671b4e334d2f6570e0ff0178 |
|---|---|
| oai_identifier_str |
oai:repositorio.uam.es:10486/704779 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniquesBenavente, DavidFort, RafaelGómez Heras, MiguelLeeb HardnessMicro-DrillingMinimally-Invasive TechniqueOpen PorosityP-wave VelocityResistance ForceRock StrengthStone DecayStrength EstimationUniaxial Compressive StrengthGeologíaUniaxial compressive strength (UCS) is the most used parameter to measure rock strength. However, restrictions in sampling large volume of material, the need of very large set of results and onsite characterisation of UCS non-destructively are requirements in many scientific and engineering investigations. The estimation of UCS from a single non-destructive or minimally invasive technique (NDT) may result incomplete because each NDT is sensitive to different compositional and textural factors. This paper combines open porosity, P-wave velocity, Leeb hardness and micro-drilling resistance force to estimate USC for a wide range of carbonate sedimentary rock types with different petrographic characteristics. Results reveal that mineralogical composition significatively affects micro-drilling resistance force profiles and P-wave velocity values, especially for quartz-bearing rocks. In addition, texture controls substantially the reproducibility of tests sensible to rock surface properties, such as Leeb hardness and micro-drilling resistance force. Fifteen simple and multiple expressions for UCS are fitted. Linear expressions have shown better coefficients of determination (R2) than non-linear equations because of the linearity shown by individual parameters. Curve fitting improves as the number of petrophysical parameters increase in the multiple linear regression analysis. The best correlation is found when the equation incorporates all the mechanical parameters obtained non-destructively as well as open porosity (R2 = 0.910). Leeb hardness is always the most significant variable of the fitted regressions and its addition into multiple linear equations causes an increase of R2. Open porosity also improves R2 whereas drilling force and P-wave velocity have a lower statistical weight in the expressions. The UCS estimation from all NDT, without considering open porosity, shows a good correlation (R2 = 0.899), which presents the advantage that they can be obtained non-destructively with portable equipment and can provide a numerous set of results at relatively low costElsevierDepartamento de Geología y GeoquímicaFacultad de Ciencias20212021-09-13research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/704779https://dx.doi.org/10.1016/j.ijrmms.2021.104915reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7047792026-06-23T12:46:27Z |
| dc.title.none.fl_str_mv |
Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniques |
| title |
Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniques |
| spellingShingle |
Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniques Benavente, David Leeb Hardness Micro-Drilling Minimally-Invasive Technique Open Porosity P-wave Velocity Resistance Force Rock Strength Stone Decay Strength Estimation Uniaxial Compressive Strength Geología |
| title_short |
Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniques |
| title_full |
Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniques |
| title_fullStr |
Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniques |
| title_full_unstemmed |
Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniques |
| title_sort |
Improving uniaxial compressive strength estimation of carbonate sedimentary rocks by combining minimally invasive and non-destructive techniques |
| dc.creator.none.fl_str_mv |
Benavente, David Fort, Rafael Gómez Heras, Miguel |
| author |
Benavente, David |
| author_facet |
Benavente, David Fort, Rafael Gómez Heras, Miguel |
| author_role |
author |
| author2 |
Fort, Rafael Gómez Heras, Miguel |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Departamento de Geología y Geoquímica Facultad de Ciencias |
| dc.subject.none.fl_str_mv |
Leeb Hardness Micro-Drilling Minimally-Invasive Technique Open Porosity P-wave Velocity Resistance Force Rock Strength Stone Decay Strength Estimation Uniaxial Compressive Strength Geología |
| topic |
Leeb Hardness Micro-Drilling Minimally-Invasive Technique Open Porosity P-wave Velocity Resistance Force Rock Strength Stone Decay Strength Estimation Uniaxial Compressive Strength Geología |
| description |
Uniaxial compressive strength (UCS) is the most used parameter to measure rock strength. However, restrictions in sampling large volume of material, the need of very large set of results and onsite characterisation of UCS non-destructively are requirements in many scientific and engineering investigations. The estimation of UCS from a single non-destructive or minimally invasive technique (NDT) may result incomplete because each NDT is sensitive to different compositional and textural factors. This paper combines open porosity, P-wave velocity, Leeb hardness and micro-drilling resistance force to estimate USC for a wide range of carbonate sedimentary rock types with different petrographic characteristics. Results reveal that mineralogical composition significatively affects micro-drilling resistance force profiles and P-wave velocity values, especially for quartz-bearing rocks. In addition, texture controls substantially the reproducibility of tests sensible to rock surface properties, such as Leeb hardness and micro-drilling resistance force. Fifteen simple and multiple expressions for UCS are fitted. Linear expressions have shown better coefficients of determination (R2) than non-linear equations because of the linearity shown by individual parameters. Curve fitting improves as the number of petrophysical parameters increase in the multiple linear regression analysis. The best correlation is found when the equation incorporates all the mechanical parameters obtained non-destructively as well as open porosity (R2 = 0.910). Leeb hardness is always the most significant variable of the fitted regressions and its addition into multiple linear equations causes an increase of R2. Open porosity also improves R2 whereas drilling force and P-wave velocity have a lower statistical weight in the expressions. The UCS estimation from all NDT, without considering open porosity, shows a good correlation (R2 = 0.899), which presents the advantage that they can be obtained non-destructively with portable equipment and can provide a numerous set of results at relatively low cost |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2021-09-13 |
| dc.type.none.fl_str_mv |
research article http://purl.org/coar/resource_type/c_2df8fbb1 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10486/704779 https://dx.doi.org/10.1016/j.ijrmms.2021.104915 |
| url |
http://hdl.handle.net/10486/704779 https://dx.doi.org/10.1016/j.ijrmms.2021.104915 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:Biblos-e Archivo. Repositorio Institucional de la UAM instname:Universidad Autónoma de Madrid |
| instname_str |
Universidad Autónoma de Madrid |
| reponame_str |
Biblos-e Archivo. Repositorio Institucional de la UAM |
| collection |
Biblos-e Archivo. Repositorio Institucional de la UAM |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869410030822883328 |
| score |
15,301629 |