<div class="csl-bib-body">
<div class="csl-entry">Masmoudi, M. M., Li, X. L., Boddeti, V. B., & Lajnef, N. L. (2025). Physics-based modeling of contaminant leaching in road construction. 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. 559–562). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10887</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219480
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dc.identifier.uri
https://doi.org/10.34726/10887
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dc.description.abstract
Coal combustion products (CCPs) offer a sustainable solution for road construction but pose environmental risks due to trace element leaching. Predicting solute concentrations accurately is critical to mitigating these risks as it guides contamination assessment and effective remediation. However, the heterogeneity of soils and materials in pavement layers, along with environmental factors, hinders reliable predictive models. To address this, this study utilizes a novel method to predict seepage velocity as a field, a critical parameter for modeling contaminant transport, integrated into the advection–dispersion–reaction governing equation. Unlike traditional assumptions of constant velocity parameters, our approach provides accurate prediction of solute concentrations and valuable insights into when pollutants may reach groundwater. Numerical simulations demonstrate superior performance in estimating seepage velocity and pollutant concentrations. The findings underscore the potential of this methodology to enhance environmental risk assessment in pavement engineering and support the safe, sustainable use of CCPs in infrastructure development.
en
dc.language.iso
en
-
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
Coal Combustion Products
en
dc.subject
Neural Network
en
dc.subject
Partial differential Equations
en
dc.title
Physics-based modeling of contaminant leaching in road construction
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
10.34726/10887
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dc.contributor.affiliation
Michigan State University, United States of America (the)
-
dc.contributor.affiliation
Michigan State University, United States of America (the)
-
dc.contributor.affiliation
Michigan State University, United States of America (the)
-
dc.contributor.affiliation
Michigan State University, United States of America (the)
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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
559
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dc.description.endpage
562
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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
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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
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tuw.researchTopic.id
C3
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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
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tuw.researchTopic.value
30
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tuw.researchTopic.value
35
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tuw.publication.orgunit
E000 - Technische Universität Wien
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dc.identifier.libraryid
AC17651399
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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
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tuw.editor.orcid
0000-0002-8329-8687
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tuw.editor.orcid
0000-0003-4101-1964
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tuw.event.name
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)
en
tuw.event.startdate
07-05-2025
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tuw.event.enddate
09-05-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Wien
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tuw.event.country
AT
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tuw.event.institution
TU Wien/E230-03
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tuw.event.presenter
Masmoudi, M.M.
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tuw.event.track
Multi Track
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wb.sciencebranch
Bauingenieurwesen
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wb.sciencebranch
Verkehrswesen
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wb.sciencebranch.oefos
2011
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wb.sciencebranch.oefos
2013
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wb.sciencebranch.value
30
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wb.sciencebranch.value
70
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item.languageiso639-1
en
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open
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conference paper
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Open Access
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application/pdf
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http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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item.fulltext
with Fulltext
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crisitem.author.dept
Michigan State University, United States of America (the)
-
crisitem.author.dept
Michigan State University, United States of America (the)
-
crisitem.author.dept
Michigan State University, United States of America (the)