Investigation for probabilistic prediction of shear strength properties of clay-rich fault gouge in the Austrian Alps
Saved in:
| Title: | Investigation for probabilistic prediction of shear strength properties of clay-rich fault gouge in the Austrian Alps |
|---|---|
| Authors: | Liu, Q.1 qian.liu@tugraz.at, Button, E.2, Klima, K.1 |
| Source: | Engineering Geology. Oct2007, Vol. 94 Issue 1/2, p103-121. 19p. |
| Subjects: | Clay, Sediments, Multivariate analysis, Statistical correlation |
| Abstract: | Abstract: Geotechnical practice in the Austrian Alps determined that it is difficult to evaluate the shear strength properties of clay-rich fault gouge associated with thin shear zones because of a lack of undisturbed samples and the high normal stresses required for appropriate shear tests. The objective of this paper is to do a probabilistic prediction of the shear strength properties of clay-rich fault gouges through simple geotechnical parameters. The representative clay-rich fault gouge samples were selected from engineering projects. Their characteristics, i.e. water content and density, were simulated through high normal stress consolidation. Then they were sheared under different normal stress with low velocities. Shear test results show that there are four types of shear strength properties, which can be classified by geotechnical parameters. The significance of the parameters for the classification was tested. Using the Stepwise Discriminant Analysis, the best predictors were evaluated from basic soil classification parameters. The probabilistic prediction of shear strength properties was established by the combinations of the best predictors using Bayes''s theorem. This makes the prediction of the shear strength properties of clay-rich fault gouge in the Austrian Alps easy and practical when sample availability is limited. [Copyright &y& Elsevier] |
| Copyright of Engineering Geology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 26841151 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Investigation for probabilistic prediction of shear strength properties of clay-rich fault gouge in the Austrian Alps – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Q%2E%22">Liu, Q.</searchLink><relatesTo>1</relatesTo><i> qian.liu@tugraz.at</i><br /><searchLink fieldCode="AR" term="%22Button%2C+E%2E%22">Button, E.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Klima%2C+K%2E%22">Klima, K.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering+Geology%22">Engineering Geology</searchLink>. Oct2007, Vol. 94 Issue 1/2, p103-121. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Clay%22">Clay</searchLink><br /><searchLink fieldCode="DE" term="%22Sediments%22">Sediments</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Geotechnical practice in the Austrian Alps determined that it is difficult to evaluate the shear strength properties of clay-rich fault gouge associated with thin shear zones because of a lack of undisturbed samples and the high normal stresses required for appropriate shear tests. The objective of this paper is to do a probabilistic prediction of the shear strength properties of clay-rich fault gouges through simple geotechnical parameters. The representative clay-rich fault gouge samples were selected from engineering projects. Their characteristics, i.e. water content and density, were simulated through high normal stress consolidation. Then they were sheared under different normal stress with low velocities. Shear test results show that there are four types of shear strength properties, which can be classified by geotechnical parameters. The significance of the parameters for the classification was tested. Using the Stepwise Discriminant Analysis, the best predictors were evaluated from basic soil classification parameters. The probabilistic prediction of shear strength properties was established by the combinations of the best predictors using Bayes''s theorem. This makes the prediction of the shear strength properties of clay-rich fault gouge in the Austrian Alps easy and practical when sample availability is limited. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Engineering Geology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=26841151 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.enggeo.2007.08.001 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 103 Subjects: – SubjectFull: Clay Type: general – SubjectFull: Sediments Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Statistical correlation Type: general Titles: – TitleFull: Investigation for probabilistic prediction of shear strength properties of clay-rich fault gouge in the Austrian Alps Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Q. – PersonEntity: Name: NameFull: Button, E. – PersonEntity: Name: NameFull: Klima, K. IsPartOfRelationships: – BibEntity: Dates: – D: 16 M: 10 Text: Oct2007 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 00137952 Numbering: – Type: volume Value: 94 – Type: issue Value: 1/2 Titles: – TitleFull: Engineering Geology Type: main |
| ResultId | 1 |
