CLC number: TU4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-12-11
Cited: 2
Clicked: 3890
Citations: Bibtex RefMan EndNote GB/T7714
Liang Ye, Yin-fu Jin, Shui-long Shen, Ping-ping Sun, Cheng Zhou. An efficient parameter identification procedure for soft sensitive clays[J]. Journal of Zhejiang University Science A, 2016, 17(1): 76-88.
@article{title="An efficient parameter identification procedure for soft sensitive clays",
author="Liang Ye, Yin-fu Jin, Shui-long Shen, Ping-ping Sun, Cheng Zhou",
journal="Journal of Zhejiang University Science A",
volume="17",
number="1",
pages="76-88",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1500031"
}
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%J Journal of Zhejiang University SCIENCE A
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%DOI 10.1631/jzus.A1500031
TY - JOUR
T1 - An efficient parameter identification procedure for soft sensitive clays
A1 - Liang Ye
A1 - Yin-fu Jin
A1 - Shui-long Shen
A1 - Ping-ping Sun
A1 - Cheng Zhou
J0 - Journal of Zhejiang University Science A
VL - 17
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SP - 76
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%@ 1673-565X
Y1 - 2016
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1500031
Abstract: The creep and destructuration characteristics of soft clay are always coupled under loading, making it difficult for engineers to determine these related parameters. This paper proposes a simple and efficient optimization procedure to identify both creep and destructuration parameters based on low cost experiments. For this purpose, a simplex algorithm (SA) with random samplings is adopted in the optimization. Conventional undrained triaxial tests are performed on Wenzhou clay. The newly developed creep model accounting for the destructuration is enhanced by anisotropy of elasticity and adopted to simulate tests. The optimal parameters are validated first by experimental measurements, and then by simulating other tests on the same clay. Finally, the proposed procedure is successfully applied to soft Shanghai clay. The results demonstrate that the proposed optimization procedure is efficient and reliable in identifying creep and destructuration related parameters.
This paper presents a parameter identification procedure for identifying both creep and destructuration parameters of soft structured clay. It uses a recently developed elasto viscoplastic constitutive model combing with Simplex method. The highlight is that only the undrained compression triaxial tests together with their consolidation stages are needed in the optimization procedure. For identifying the creep and destructuration parameters, the experimental cost is reduced. The proposed approach is suitable for identifying parameters of advanced constitutive model which always involve many parameters.
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