Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/116683
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Civil and Environmental Engineering | en_US |
| dc.contributor | Research Institute for Land and Space | en_US |
| dc.creator | Liu, Y | en_US |
| dc.creator | Wu, P | en_US |
| dc.creator | Li, A | en_US |
| dc.creator | Feng, W | en_US |
| dc.creator | Chen, Z | en_US |
| dc.creator | Zhao, X | en_US |
| dc.creator | Zheng, JJ | en_US |
| dc.creator | Yin, JH | en_US |
| dc.date.accessioned | 2026-01-12T05:59:50Z | - |
| dc.date.available | 2026-01-12T05:59:50Z | - |
| dc.identifier.issn | 1861-1125 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/116683 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.rights | © The Author(s) 2025. | en_US |
| dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
| dc.rights | The following publication Liu, Y., Wu, P., Li, A. et al. A finite strain thermal elastic visco-plastic consolidation model enhanced by particle swarm optimization of model parameters. Acta Geotech. (2025) is available at https://doi.org/10.1007/s11440-025-02773-x. | en_US |
| dc.subject | Finite strain consolidation | en_US |
| dc.subject | Parameter calibration | en_US |
| dc.subject | Physical model test | en_US |
| dc.subject | PSO-assisted method | en_US |
| dc.subject | Thermal elastic visco-plasticity | en_US |
| dc.title | A finite strain thermal elastic visco-plastic consolidation model enhanced by particle swarm optimization of model parameters | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.doi | 10.1007/s11440-025-02773-x | en_US |
| dcterms.abstract | In this paper, a radial finite strain thermal consolidation model is extended to further consider the viscous behavior of soft soils. A newly developed thermal elastic visco-plastic (TEVP) constitutive model for the temperature and time-dependent stress–strain behavior of soft soils is implemented in a radial finite strain thermal consolidation model, which is solved through a numerical solver. This solving method is verified by comparing the calculated results by the numerical solver with two existing studies. After this, a particle swarm optimization (PSO) algorithm is employed to enhance the prediction performance of the proposed consolidation model by automatically calibrating the model parameters during the consolidation process. Two physical model tests were conducted to examine the validity of the proposed model and PSO-assisted method. The results indicate that the proposed radial consolidation model captures the viscous characteristics (including creep) of the time-dependent settlements of soft soils, which could not be simulated by the former reported models. The PSO-assisted method has demonstrated practical applicability when compared with physical model tests. The longer the observation time, the better the predictive performance of our radial finite strain thermal consolidation model. It is recommended that the observation time should not be shorter than the time required for primary consolidation. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Acta geotechnica, Published: 18 November 2025, Online first articles, https://doi.org/10.1007/s11440-025-02773-x | en_US |
| dcterms.isPartOf | Acta geotechnica | en_US |
| dcterms.issued | 2025 | - |
| dc.identifier.scopus | 2-s2.0-105022456050 | - |
| dc.identifier.eissn | 1861-1133 | en_US |
| dc.description.validate | 202601 bcjz | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_TA | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | Funding text 1: Open access funding provided by The Hong Kong Polytechnic University.; Funding text 2: The work presented in this paper is supported by the Research Grants Council (RGC) of Hong Kong Special Administrative Region Government (HKSARG) of China (GRF: 15210020, 15221721, and 15226722). The work is also supported by the Natural Science Foundation of Wuhan (No.2024040801020271) and Fundamental Research Funds for Central Public Welfare Research Institutes of China (No. CKSF20241004/YT). The authors also acknowledge the financial support from three grants (CD7A and CD7J) from Research Institute for Land and Space, a postdoctoral matching fund scheme (W314), and a start-up fund (BD30) of The Hong Kong Polytechnic University. | en_US |
| dc.description.pubStatus | Early release | en_US |
| dc.description.TA | Springer Nature (2025) | en_US |
| dc.description.oaCategory | TA | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s11440-025-02773-x.pdf | 2.9 MB | Adobe PDF | View/Open |
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