Campus Units

Civil, Construction and Environmental Engineering, Agronomy

Document Type

Conference Proceeding

Conference

4th International Conference on Transportation Geotechnics

Publication Version

Accepted Manuscript

Link to Published Version

https://dx.doi.org/10.1007/978-3-030-77234-5_72

Publication Date

8-5-2021

Journal or Book Title

Advances in Transportation Geotechnics IV: Proceedings of the 4th International Conference on Transportation Geotechnics

Volume

2

First Page

877

Last Page

888

Research Focus Area

Transportation Engineering, Geotechnical/Materials Engineering

DOI

10.1007/978-3-030-77234-5_72

Conference Title

4th International Conference on Transportation Geotechnics

Conference Date

May 23-26, 2021

City

Chicago, IL

Abstract

Annual freeze–thaw cycles reduce the overall performance and ride quality of granular-surfaced roadways by causing significant damage in the roadbed system during spring thaw periods. The severity of the damage depends on the subgrade properties and external environmental factors. Field monitoring can play an important role in quantifying these factors as well as the roadbed subgrade responses to further our understanding of the resulting moisture transport and freeze–thaw mechanisms. Field monitoring can also be used to assess the effectiveness of computational models that use measurements of the environmental factors to predict the subgrade response. In this study, an extensive sensor network was installed up to a depth of 213 cm (7 ft) under a granular-surfaced roadway in Hamilton County, Iowa, for continuous measurement of soil temperature and water content. Soil index properties and hydraulic properties of the subgrade soils were determined by laboratory testing of disturbed and intact soil samples. This paper presents and compares the collected data on in-situ soil temperature and soil moisture distributions with those of preliminary computational modeling of the soil response using the SHAW Model. Laboratory-assessed soil properties and weather station measurements were used as inputs for the computational predictive models. The computational models give promising results, particularly for prediction of the subgrade temperature profiles.

Comments

This is a post-peer-review, pre-copyedit version of a proceeding published as Genc, Derya, Jeramy C. Ashlock, Bora Cetin, Kristen Cetin, Masrur Mahedi, Robert Horton, and Halil Ceylan. (2022) "Monitoring and Modeling of Soil Thermal and Hydraulic Behavior Beneath a Granular-Surfaced Roadway." In: Tutumluer E., Nazarian S., Al-Qadi I., Qamhia I.I. (eds) Advances in Transportation Geotechnics IV. Lecture Notes in Civil Engineering, vol 165. Springer, Cham. The final authenticated version is available online at DOI: 10.1007/978-3-030-77234-5_72. Posted with permission.

Copyright Owner

The Author(s)

Language

en

File Format

application/pdf

Available for download on Friday, August 05, 2022

Published Version

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Article Location

 
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