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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: 3855

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Liang Ye

http://orcid.org/0000-0001-7943-1206

Yin-fu Jin

http://orcid.org/0000-0003-0522-1702

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Journal of Zhejiang University SCIENCE A 2016 Vol.17 No.1 P.76-88

http://doi.org/10.1631/jzus.A1500031


An efficient parameter identification procedure for soft sensitive clays


Author(s):  Liang Ye, Yin-fu Jin, Shui-long Shen, Ping-ping Sun, Cheng Zhou

Affiliation(s):  1Department of Civil Engineering, Zhejiang University of Science and Technology, Hangzhou 310012, China; more

Corresponding email(s):   yeliang88@126.com, yinfu.jin9019@gmail.com

Key Words:  Clay, Creep, Destructuration, Optimization, Simplex, Parameter identification


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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.

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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.

一个结构性软土参数的确定方法

目的:软土流变和结构破坏的相互耦合导致结构性软土的参数难以准确得到。本文拟建立一个有效的参数确定方法,期望仅基于常规的室内试验得到可靠的、合理的本构参数。
创新点:1. 通过采用优化方法来实现结构性软土参数的确定;2. 仅基于常规的室内试验得到本构参数;3. 采用最近提出的考虑各向异性、流变和结构破坏的超应力本构模型。
方法:1. 建立数值模拟和试验数据之间的误差计算公式;2. 通过流变本构模拟室内常规试验,并计算模拟误差;3. 采用下山单纯形法(simplex)优化方法,寻找模拟误差的最小值;此最小值对应的这组模拟参数即为土体的最优参数;4. 利用最优参数模拟其他类型的试验,验证参数的合理性和可靠性。
结论:本文提出的优化程序可以有效的找到结构性土体的流变和结构破坏参数,并且找到的参数非常的合理。

关键词:黏土;流变;结构破坏;优化;参数确定

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]ASTM (American Society for Testing and Materials), 2004. Annual Book of ASTM Standards. ASTM, Philadelphia, PA, USA.

[2]Biarez, J., Hicher, P.Y., 1994. Elementary mechanics of soil behaviour: saturated remoulded soils. AA Balkema, Rotterdam, the Netherlands.

[3]Calvello, M., Finno, R.J., 2004. Selecting parameters to optimize in model calibration by inverse analysis. Computers and Geotechnics, 31(5):410-424.

[4]Chang, C.S., Yin, Z.Y., 2010. Micromechanical modeling for inherent anisotropy in granular materials. Journal of Engineering Mechanics, 136(7):830-839.

[5]Dano, C., Hicher, P.Y., Rangeard, D., et al., 2007. Interpretation of dilatometer tests in a heavy oil reservoir. International Journal for Numerical and Analytical Methods in Geomechanics, 31(10):1197-1215.

[6]Huang, M., Liu, Y., Sheng, D., 2011. Simulation of yielding and stress–stain behavior of Shanghai soft clay. Computers and Geotechnics, 38(3):341-353.

[7]Karstunen, M., Yin, Z.Y., 2010. Modelling time-dependent behaviour of Murro test embankment. Géotechnique, 60(10):735-749.

[8]Lagarias, J.C., Reeds, J.A., Wright, M.H., et al., 1998. Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM Journal on Optimization, 9(1):112-147.

[9]Lecampion, B., Constantinescu, A., Nguyen Minh, D., 2002. Parameter identification for lined tunnels in a viscoplastic medium. International Journal for Numerical and Analytical Methods in Geomechanics, 26(12):1191-1211.

[10]Leroueil, S., Vaughan, P.R., 1990. The general and congruent effects of structure in natural soils and weak rocks. Géotechnique, 40(3):467-488.

[11]Levasseur, S., Malécot, Y., Boulon, M., et al., 2008. Soil parameter identification using a genetic algorithm. International Journal for Numerical and Analytical Methods in Geomechanics, 32(2):189-213.

[12]McKay, M.D., Beckman, R.J., Conover, W.J., 1979. Comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics, 21(2):239-245.

[13]Nelder, J.A., Mead, R., 1965. A simplex method for function minimization. The Computer Journal, 7(4):308-313.

[14]Papon, A., Riou, Y., Dano, C., et al., 2012. Single- and multi-objective genetic algorithm optimization for identifying soil parameters. International Journal for Numerical and Analytical Methods in Geomechanics, 36(5):597-618.

[15]Sheng, D., Sloan, S., Yu, H., 2000. Aspects of finite element implementation of critical state models. Computational Mechanics, 26(2):185-196.

[16]Wang, L., Yin, Z., 2015. Stress dilatancy of natural soft clay under an undrained creep condition. International Journal of Geomechanics, 15(5):A4014002.

[17]Yin, Z.Y., Hicher, P.Y., 2008. Identifying parameters controlling soil delayed behaviour from laboratory and in situ pressuremeter testing. International Journal for Numerical and Analytical Methods in Geomechanics, 32(12):1515-1535.

[18]Yin, Z.Y., Chang, C.S., 2009. Microstructural modelling of stress-dependent behaviour of clay. International Journal of Solids and Structures, 46(6):1373-1388.

[19]Yin, Z.Y., Karstunen, M., 2011. Modelling strain-rate-dependency of natural soft clays combined with anisotropy and destructuration. Acta Mechanica Solida Sinica, 24(3):216-230.

[20]Yin, Z.Y., Wang, J.H., 2012. A one-dimensional strain-rate based model for soft structured clays. Science China Technological Sciences, 55(1):90-100.

[21]Yin, Z.Y., Chang, C.S., Karstunen, M., et al., 2010a. An anisotropic elastic-viscoplastic model for soft clays. International Journal of Solids and Structures, 47(5):665-677.

[22]Yin, Z.Y., Karstunen, M., Hicher, P.Y., 2010b. Evaluation of the influence of elasto-viscoplastic scaling functions on modelling time-dependent behaviour of natural clays. Soils and Foundations, 50(2):203-214.

[23]Yin, Z.Y., Chang, C.S., Hicher, P.Y., 2010c. Micromechanical modelling for effect of inherent anisotropy on cyclic behaviour of sand. International Journal of Solids and Structures, 47(14-15):1933-1951.

[24]Yin, Z.Y., Karstunen, M., Chang, C.S., et al., 2011a. Modeling time-dependent behavior of soft sensitive clay. Journal of Geotechnical and Geoenvironmental Engineering, 137(11):1103-1113.

[25]Yin, Z.Y., Hattab, M., Hicher, P.Y., 2011b. Multiscale modeling of a sensitive marine clay. International Journal for Numerical and Analytical Methods in Geomechanics, 35(15):1682-1702.

[26]Yin, Z.Y., Xu, Q., Chang, C.S., 2013. Modeling cyclic behavior of clay by micromechanical approach. Journal of Engineering Mechanics, 139(9):1305-1309.

[27]Yin, Z.Y., Zhu, Q.Y., Yin, J.H., et al., 2014. Stress relaxation coefficient and formulation for soft soils. Géotechnique Letters, 4(1):45-51.

[28]Yin, Z.Y., Xu, Q., Yu, C., 2015a. Elastic viscoplastic modeling for natural soft clays considering nonlinear creep. International Journal of Geomechanics, 15(5):A6014001.

[29]Yin, Z.Y., Yin, J.H., Huang, H.W., 2015b. Rate-dependent and long-term yield stress and strength of soft Wenzhou marine clay: experiments and modeling. Marine Georesources and Geotechnology, 33(1):79-91.

[30]Zeng, L.L., 2010. Deformation Mechanism and Compression Model of Natural Clays. PhD Thesis, Southeast University, Nanjing, China (in Chinese).

[31]Zhu, Q.Y., Jin, Y.F., Yin, Z.Y., et al., 2013. Influence of natural deposition plane orientation on oedometric consolidation behavior of three typical clays from southeast coast of China. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 14(11):767-777.

[32]Zhu, Q.Y., Wu, Z.X., Li, Y.L., et al., 2014. A modified creep index and its application to viscoplastic modelling of soft clays. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 15(4):272-281.

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