A nonlinear particle packing model for multi-sized granular soils.
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| Title: | A nonlinear particle packing model for multi-sized granular soils. |
|---|---|
| Authors: | Liu, Zhang-Rong1 (AUTHOR), Ye, Wei-Min1 (AUTHOR) ye_tju@tongji.edu.cn, Zhang, Zhao1 (AUTHOR), Wang, Qiong1 (AUTHOR), Chen, Yong-Gui1 (AUTHOR), Cui, Yu-Jun1 (AUTHOR) |
| Source: | Construction & Building Materials. Oct2019, Vol. 221, p274-282. 9p. |
| Subjects: | Soil granularity, Particle size determination, Particle size distribution, Particle interactions, Granular materials, Soil particles |
| Abstract: | • Nonlinear packing models in terms of void ratio for binary-, ternary- and multi-size granular soils were developed. • The void ratio was presented as a quadratic function of the volume fraction of each components. • The model parameters were power functions of particle size ratios. • The model showed good performance for granular soils with different particle shapes and testing methods. • Discrepancy could be induced by ignorance of particle interactions between dominant and non-dominant size classes. Most of the existing particle packing models were linear or only applicable for binary-size/ternary-size mixtures. In this study, based on the concept of dominant size class, a nonlinear packing model was developed allowing prediction of the void ratio of granular soils with arbitrary particle size distributions. Only two parameters (filling coefficient and embedment coefficient) were incorporated in the proposed model. Calibrations showed that both parameters were related to the particle size ratios between the dominant and non-dominant size classes. The model was verified using the experimental results on the crushed pellets of GMZ bentonite and several other granular materials from literature. Good agreement was obtained between the predictions and measurements, showing the performance of the proposed model. [ABSTRACT FROM AUTHOR] |
| Copyright of Construction & Building Materials 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 137825721 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A nonlinear particle packing model for multi-sized granular soils. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Zhang-Rong%22">Liu, Zhang-Rong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ye%2C+Wei-Min%22">Ye, Wei-Min</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ye_tju@tongji.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhao%22">Zhang, Zhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qiong%22">Wang, Qiong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yong-Gui%22">Chen, Yong-Gui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cui%2C+Yu-Jun%22">Cui, Yu-Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Construction+%26+Building+Materials%22">Construction & Building Materials</searchLink>. Oct2019, Vol. 221, p274-282. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Soil+granularity%22">Soil granularity</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+size+determination%22">Particle size determination</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+size+distribution%22">Particle size distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+interactions%22">Particle interactions</searchLink><br /><searchLink fieldCode="DE" term="%22Granular+materials%22">Granular materials</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+particles%22">Soil particles</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • Nonlinear packing models in terms of void ratio for binary-, ternary- and multi-size granular soils were developed. • The void ratio was presented as a quadratic function of the volume fraction of each components. • The model parameters were power functions of particle size ratios. • The model showed good performance for granular soils with different particle shapes and testing methods. • Discrepancy could be induced by ignorance of particle interactions between dominant and non-dominant size classes. Most of the existing particle packing models were linear or only applicable for binary-size/ternary-size mixtures. In this study, based on the concept of dominant size class, a nonlinear packing model was developed allowing prediction of the void ratio of granular soils with arbitrary particle size distributions. Only two parameters (filling coefficient and embedment coefficient) were incorporated in the proposed model. Calibrations showed that both parameters were related to the particle size ratios between the dominant and non-dominant size classes. The model was verified using the experimental results on the crushed pellets of GMZ bentonite and several other granular materials from literature. Good agreement was obtained between the predictions and measurements, showing the performance of the proposed model. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Construction & Building Materials 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.conbuildmat.2019.06.075 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 274 Subjects: – SubjectFull: Soil granularity Type: general – SubjectFull: Particle size determination Type: general – SubjectFull: Particle size distribution Type: general – SubjectFull: Particle interactions Type: general – SubjectFull: Granular materials Type: general – SubjectFull: Soil particles Type: general Titles: – TitleFull: A nonlinear particle packing model for multi-sized granular soils. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Zhang-Rong – PersonEntity: Name: NameFull: Ye, Wei-Min – PersonEntity: Name: NameFull: Zhang, Zhao – PersonEntity: Name: NameFull: Wang, Qiong – PersonEntity: Name: NameFull: Chen, Yong-Gui – PersonEntity: Name: NameFull: Cui, Yu-Jun IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 10 Text: Oct2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 09500618 Numbering: – Type: volume Value: 221 Titles: – TitleFull: Construction & Building Materials Type: main |
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