A new approach to modeling the behavior of frozen soils

Nassr, Ali; Esmaeili‐Falak, Mahzad; Katebi, Hooshang; Javadi, Akbar A.

doi:10.1016/j.enggeo.2018.09.018

Cited by 63 publications

(14 citation statements)

References 30 publications

(38 reference statements)

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“…Confining pressure and temperature are two important factors that affect the mechanical properties of frozen soil, which must be addressed in practical applications of the damage model ( [34,35]. In most cases, the experimental conditions under which parameters are determined do not fully correspond to the actual conditions, so fitting predictions of model parameters are often necessary.…”

Section: Discussionmentioning

confidence: 99%

Establishment and Experimental Verification of Stress-Temperature Coupled Damage Model of Warm Frozen Soil

et al. 2022

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Under the background of rising environmental temperature, the state of warm frozen soil near the phase transition is extremely unstable. In order to explore the relationship between temperature and mechanical properties of warm frozen soil, a damage model of warm frozen soil structure under the coupling of stress and temperature is established based on the strain equivalent theory of damage mechanics. Based on the Mohr-Coulomb criterion, the nominal stress is used to represent the stress damage of frozen soil elements, the initial elastic modulus is used to represent the temperature damage, and a composite damage factor is introduced to describe their coupled relationship. Through a triaxial compression experiment of frozen soil, the experimental data and stress-strain curve are obtained. The full-fitting method based on the experimental data (method 1) and the semitheoretical semifitting method based on the characteristic points of the stress-strain curve (method 2) are used to obtain the shape parameters and scale parameters of the stress-temperature coupled damage model corresponding to different fitting methods. Based on the triaxial compression tests of frozen sand and frozen silty clay, the reliability of the stress-temperature coupled damage model results obtained by the two parameter determination methods under the conditions of strain softening and strain hardening is verified. The results show that both methods are applicable under the condition of strain softening and strain hardening and method 2 is better than method 1 under the condition of strain softening. Compared with the prediction results of the single stress damage model, the stress-temperature coupled damage model can effectively reduce the influence of the parameter estimation error on the results and improve the overall stability of the model.

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Section: Discussionmentioning

confidence: 99%

Establishment and Experimental Verification of Stress-Temperature Coupled Damage Model of Warm Frozen Soil

et al. 2022

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“…Relevant parameters of the one-dimensional model are illustrated in Table 1. It is assumed that soils with the same lithology have the same ranges of shear moduli and damping ratios, but have different densities and different shear wave velocities at various depths [28]. Shear wave velocities of soil layers at different depths, shown in Table 1, are determined according to the field and laboratory shear wave velocity tests.…”

Section: Numerical Computation Schemementioning

confidence: 99%

Numerical investigation of seismic behaviour of railway embankments in cold regions

Chen¹,

Mu²,

Wang³

et al. 2021

JCE

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To investigate more fully seismic behaviour of the Qinghai-Tibet railway embankment, a comprehensive discussion and a781nalysis is conducted in this paper by applying a numerical technique. Specifically, the one dimensional equivalent linear ground response analysis was conducted in permafrost regions. On this basis, the seismic response of a typical railway embankment was further studied by applying the nonlinear dynamic finite element analysis method. As a result, nonlinear behaviour of permafrost sites was determined, and the dynamic acceleration, velocity and displacement of the embankment was discussed and the quantitative assessment was approximately estimated. The results indicate that the dynamic response of the embankment has distinct nonlinear characteristics. The peak ground acceleration coefficient at the embankment shoulder is larger than the natural ground surface, marking a 73% increase compared to the coefficient on the natural ground surface. When the seismic intensity reaches a certain value, a plastic zone gradually appears in the embankment, and a continuous extension of the plastic zone can be noted with an increase in peak acceleration of the input seismic wave. The findings of this research may provide an additional insight and have significant implications for further research of cold regions.

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“…In recent years, frozen soil constitutive theory has been being studied by some methods, such as experimental research, theoretical derivation, formula fitting, numerical simulation of particle flow, and data-driven deep learning. Numerous ML algorithms have been used to study thawing and frozen soil constitutive, such as Evolutionary Polynomial Regression (EPR) (Nassr et al, 2018), Support Vector Machine (SVM) (Zhao et al, 2014;Kohestani and Hassanlourad, 2016), Back Propagation Neural Network (BPNN) (Shahin and Indraratna, 2006;Johari et al, 2011;Rashidian and Hassanlourad, 2014;Stefanos and Gyan, 2015;Lin et al, 2019), radial basis function (RBF) neural network (Peng et al, 2008), recurrent neural network (RNN) (Zhu et al, 1998;Romo et al, 2001), long short-term memory (LSTM) neural network . Problems such as gradient explosion or gradient disappearance can be better avoided by LSTM neural network.…”

Section: Introductionmentioning

confidence: 99%

Study on triaxial test and constitutive prediction model of frozen silty clay

Teng

Teng²,

Liu³

et al. 2023

Front. Earth Sci.

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With the increasing demand for engineering construction in the seasonal frozen area and the background of the Belt and Road Initiative, the frozen soil constitutive model should be studied in depth. At present, the constitutive prediction model of frozen silty clay has many problems, such as complex formula, single model application and poor prediction ability. Random forest optimal model hyperparameter input was very difficult. Particle Swarm Optimization (PSO) was used to optimize the parameters of the number of neurons, dropout and batch_size in the Long-term and Short-Term Memory network (LSTM) structure. The optimization results were 61, 0.09 and 95 respectively. The results showed that the strength tended to be stable after 6,9,6,9 and 9 freeze-thaw cycles under initial moisture content = 25, 22.5, 20, 17.5, and 15%, respectively. After 18 freeze-thaw cycles, the strength decreased by 2.66%, 11.85%, 18.83%, 16.79, and 29.02%, respectively. The predicted values of frozen soil binary medium model (BM), random forest model (RF) and PSO-LSTM model were compared with the measured values under different working conditions, and good accuracy was obtained. The R2 of the PSO-LSTM model test set was trained to more than 98%, and RMSE, MAE and MAPE were also trained to the lowest under the same working conditions. The influencing factors of deviator stress of frozen silty clay were given in order from strong to weak: initial moisture content>strain>confining pressure>number of freeze-thaw cycles. The LSTM optimal combination input parameters were searched by PSO, and the parameter adjustment speed of the model for the data learning process of frozen silty clay was greatly increased, which was conducive to the promotion of other soil constitutive prediction models. A new constitutive prediction model of frozen silty clay was developed using PSO-LSTM algorithm. 15 working conditions had been verified, and the optimal model had high accuracy in the constitutive prediction of frozen silty clay, which provided a good reference for the application of frozen soil engineering in cold regions.

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A new approach to modeling the behavior of frozen soils

Cited by 63 publications

References 30 publications

Establishment and Experimental Verification of Stress-Temperature Coupled Damage Model of Warm Frozen Soil

Establishment and Experimental Verification of Stress-Temperature Coupled Damage Model of Warm Frozen Soil

Numerical investigation of seismic behaviour of railway embankments in cold regions

Study on triaxial test and constitutive prediction model of frozen silty clay

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