Seismic response of tunnel lining structure in a thick expansive soil stratum

Wang, Y.X.; Shan, Sheng-Biao; Zhang, Chunshun; Guo, Panpan

doi:10.1016/j.tust.2019.03.016

Cited by 55 publications

(23 citation statements)

References 42 publications

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“…To capture and improve the behavior of geological materials, many studies have been carried out [8][9][10][11][12][13][14][15][16][17]. In many engineering applications, however, soils with unsatisfactory engineering properties are encountered [18,19], triggering the rapid development and wide application of soil improvement…”

Section: Introductionmentioning

confidence: 99%

Behavior of Fiber-Reinforced and Lime-Stabilized Clayey Soil in Triaxial Tests

Wang

Guo

et al. 2019

Applied Sciences

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The beneficial role of combining fiber reinforcement with lime stabilization in altering soil behavior has been established in the literature. However, the coupling effect of their combination still remains unclear in terms of its magnitude and microscopic mechanism, especially for natural fibers with special microstructures. The objective of this study was to investigate the coupling effect of wheat straw fiber reinforcement and lime stabilization on the mechanical behavior of Hefei clayey soil. To achieve this, an experimental program including unconsolidated–undrained (UU) triaxial tests and SEM analysis was implemented. Static compaction test samples were prepared on untreated soil, fiber-reinforced soil, lime-stabilized soil, and lime-stabilized/fiber-reinforced soil at optimum moisture content with determining of the maximum dry density of the untreated soil. The lime was added in three different contents of 2%, 4%, and 6%, and 13 mm long wheat straw fiber slices with a cross section one-quarter that of the intact ones were mixed in at 0.2%, 0.4%, and 0.6% by dry weight of soil. Analysis of the derived results indicated that the addition of a small amount of wheat straw fibers into lime-stabilized soil improved the intensity of the strain-softening behavior associated with mere lime stabilization. The observed evidence that the shear strength increase brought by a combination of 0.4% fiber reinforcement and 4% lime stabilization was smaller than the summation of the shear strength increases brought by their presence alone in a sample demonstrated a coupling effect between fiber reinforcement and lime stabilization. This coupling effect was also detected in the comparisons of the secant modulus and failure pattern between the combined treatment and the individual treatments. These manifestations of the coupling effect were explained by a microscopic mechanism wherein the fiber reinforcing effect was made more effective by the ways in which lime chemically stabilized the soil and lime stabilization development was quickened by the water channels passing through the surfaces and honeycomb pores of the wheat straw fibers.

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Section: Introductionmentioning

confidence: 99%

Behavior of Fiber-Reinforced and Lime-Stabilized Clayey Soil in Triaxial Tests

Wang

Guo

et al. 2019

Applied Sciences

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“…is method can not only calculate the safety factor but also obtain the stress-strain field of the slope to solve the potential slip surface. For numerical analysis, the object of calculation is often the model unit, so when searching for the slip surface, it directly obtains the key coordinate point on the slip surface (referred to as the slip point) [11,12].…”

Section: Introductionmentioning

confidence: 99%

Searching for Slip Surface of Disturbed Slope Based on Logistic Function

Zhu

Peng²,

Tan

et al. 2020

Shock and Vibration

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In the slope stability analysis, how to make the slip surface of the structure more precise and smoother has been the focus of research when fitting the slip surface with known numerical points. The study found that the logistic function has both advantages in fitting the slip surface. The related parameters (M, A, and K) are derived by the threshold, symmetry, and precision control of its function. Logistic function constructs the slip surface and compares it with the broken-line slip surface; the numerical results show that the slip points on the two slip surfaces are consistent, indicating that the logistic function fits the curve correctly; the logistic function smooths the original polyline curve, which facilitates solving the direction vector of the curve.

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“…For a long time, many scholars at home and abroad have deeply explored the main factors affecting the resilient modulus of subgrade soil and established many prediction models, based on different factors, such as stress state and basic physical properties of soil [42][43][44][45][46][47]. According to the different stress variables, prediction models can be divided into three categories: Single factor model related to mass stress, a composite model related to shear stress and mass stress, and a composite model related to shear stress and confining pressure [48][49][50][51][52][53][54][55][56][57][58][59][60]. However, most of existing prediction models only consider the influence of stress state on the resilient modulus [42], and rarely consider the influence of compactness, moisture content, and additive content.…”

Section: Introductionmentioning

confidence: 99%

Resilient Modulus—Physical Parameters Relationship of Improved Red Clay by Dynamic Tri-Axial Test

Yuan

Wang

et al. 2019

Applied Sciences

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As one of the important parameters used in the analysis and design of subgrade, resilient modulus is directly related to the safety, economic and life time of subgrade structure. In this paper, the characteristics of resilient modulus of improved red clay at different additive content were studied through conducting laboratory repeated load tri-axial tests. The influence of stress state, moisture content, compactness, additive types, and content on resilient modulus were analyzed. In addition, the regression analysis of resilient modulus, was carried out referencing three existing prediction models. The results showed that the Andrei model can better fit the resilient modulus of red clay and have a higher determination coefficient. However, the Andrei model and other existing prediction models, reflect only the influence of stress state on resilient modulus, without considering the influence of moisture content, compactness and additive content. Therefore, based on the Andrei model, a comprehensive prediction model, which can reflect the influence of compactness, moisture content, additive content, and stress state on resilient modulus was introduced. Good agreement between the regression results and the measured ones demonstrated the integrative ability of the introduced model.

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Seismic response of tunnel lining structure in a thick expansive soil stratum

Cited by 55 publications

References 42 publications

Behavior of Fiber-Reinforced and Lime-Stabilized Clayey Soil in Triaxial Tests

Behavior of Fiber-Reinforced and Lime-Stabilized Clayey Soil in Triaxial Tests

Searching for Slip Surface of Disturbed Slope Based on Logistic Function

Resilient Modulus—Physical Parameters Relationship of Improved Red Clay by Dynamic Tri-Axial Test

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