Abstract
Intelligent compaction involves using instrumented rollers to provide real-time monitoring of the compacted ground using sensors such as accelerometers and GPS. This technology has the potential to improve productivity and uniformity in construction but its advancement is currently impeded due toinaccurate estimation of the physical ground properties, such as dry density, and the absence of robust quantitative models to predict the effect of compaction on the long-term performance of unsaturated soils under repeated loads. In this study, the compaction of the soil layers and subsequent deformations under repeated traffic loads are simulated by using an advanced computational framework and model for unsaturated soils. By employing an effective stress concept, the presented computational approach allows a unified description of soils at various degrees of saturation. In addition, the model can capture plastic deformations at the initiation of loading and thereby offer accurate predictions of soil behaviour under cyclic loads. Several numerical examples will be provided to demonstrate how the initial states of compacted soils affect the compaction efficiency and the long-term performance of compacted soils.
Original language | English |
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Title of host publication | 8th International Conference on Unsaturated Soils (UNSAT 2023) |
Publisher | E3S Web of Conferences |
Volume | 382 |
DOIs | |
Publication status | Published - 2023 |
Event | International Conference on Unsaturated Soils 2023 - Milos, Greece Duration: 2 May 2023 → 5 May 2023 Conference number: 8th https://www.e3s-conferences.org/articles/e3sconf/abs/2023/19/e3sconf_unsat2023_06009/e3sconf_unsat2023_06009.html (Proceedings) |
Publication series
Name | E3S Web of Conferences |
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ISSN (Print) | 2555-0403 |
Conference
Conference | International Conference on Unsaturated Soils 2023 |
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Abbreviated title | UNSAT 2023 |
Country/Territory | Greece |
City | Milos |
Period | 2/05/23 → 5/05/23 |
Internet address |