<div class="csl-bib-body">
<div class="csl-entry">Park, H.-S., & Park, S.-W. (2025). DEM modeling of unsaturated geomaterials for predicting resilient modulus. In L. Eberhardsteiner, B. Hofko, & R. Blab (Eds.), <i>Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria</i> (pp. 504–507). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10794</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219303
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dc.identifier.uri
https://doi.org/10.34726/10794
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dc.description.abstract
Soil suction and the degree of saturation influence the resilient modulus. A suction stress model that incorporates both suction and degree of saturation can be applied to the resilient modulus. To evaluate the effect of suction stress on resilient modulus, water effects were categorized into bulk and meniscus water, and cyclic loading was applied to the samples. The soil water characteristic curve (SWCC) was generated using discrete element method (DEM) analysis. Additionally, the resilient modulus was observed to vary with both deviator stress and the degree of saturation. The trends observed in this study are consistent with the results of other researchers. These findings demonstrate that the water division and cyclic loading algorithm effectively represent the unsaturated soil state, and DEM analysis revealed that suction stress influences the resilient modulus, with the resilient modulus increasing as suction stress increased.
en
dc.language.iso
en
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dc.relation.ispartofseries
Advances in Materials and Pavements Performance Prediction
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Resilient modulus
en
dc.subject
unsaturated soils
en
dc.subject
discrete element method
en
dc.subject
suction stress
en
dc.title
DEM modeling of unsaturated geomaterials for predicting resilient modulus
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/10794
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dc.contributor.affiliation
Dankook University, Korea (the Republic of)
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dc.contributor.affiliation
Dankook University, Korea (the Republic of)
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dc.relation.isbn
978-3-901912-99-3
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dc.relation.doi
10.34726/9259
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dc.description.startpage
504
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dc.description.endpage
507
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dc.rights.holder
TU Wien, E230-03 Road Engineering
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria
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tuw.container.volume
IV
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tuw.peerreviewed
true
-
tuw.book.ispartofseries
Advances in Materials and Pavements Performance Prediction
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tuw.relation.publisher
TU Wien, E230-03 Road Engineering
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tuw.relation.publisherplace
Wien
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tuw.researchTopic.id
C6
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tuw.researchTopic.id
M8
-
tuw.researchTopic.id
C3
-
tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Structure-Property Relationsship
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tuw.researchTopic.name
Computational System Design
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tuw.researchTopic.value
35
-
tuw.researchTopic.value
30
-
tuw.researchTopic.value
35
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tuw.publication.orgunit
E000 - Technische Universität Wien
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dc.identifier.libraryid
AC17644057
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dc.description.numberOfPages
4
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.editor.orcid
0000-0003-2153-9315
-
tuw.editor.orcid
0000-0002-8329-8687
-
tuw.editor.orcid
0000-0003-4101-1964
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tuw.event.name
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)
