Study of the repeated collapsibility of undisturbed loess in Guyuan, China

Wang, Haiman; Ni, Wei; Liu, Haisong; Huang, Minmin; Yuan, Kangze; Li, Lan; Li, Xiangning

doi:10.1007/s10064-021-02304-4

Cited by 22 publications

(6 citation statements)

References 23 publications

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“…There is a correlation between the collapsibility of loess and its dry density (Chen et al 2019), water content (Xing et al 2019;Wang et al 2021), salt content (Xu et al 2020), stress state (Munoz et al 2011;, and stress path (Jia et al 2019). The analysis of a large number of sample data confirmed the correlation rules between the collapsible deformation and various physical parameters (Li et al 2021), in which the saturation, density and porosity ratio were the main influencing factors.…”

Section: Natural Hazardsmentioning

confidence: 62%

“…It was found that the loess collapsible deformation was attributed to the large pores and shelf-like structure within the soil, whilst the microstructural changes were in line with its macroscopic collapsible deformation patterns. Researchers investigated the pore distribution pattern of loess using the piezoelectric mercury meters (Wang et al 2021;Shao et al 2018;Nan et al 2021). They noted that the primary factors affecting the strength and deformation of loess were the cementation, matrix suction, and intergranular porosity ratio.…”

Section: Natural Hazardsmentioning

confidence: 99%

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Collapsible characteristics and prediction model of remodeled loess

Fan,

Zhang,

Shi

et al. 2024

Preprint

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The construction of the open channel projects in the northern Xinjiang region of China often involves traveling through vast areas of loess. The apparent collapsibility of loess is a major concern for engineers as it can lead to uneven deformation and failure of channel slopes. Collapsibility tests and scanning electron microscopy (SEM) analysis were conducted on remolded loess to comprehensively investigate the settlement and deformation mechanisms of collapsible loess from both macro- and micro-perspectives. Furthermore, a prediction model was developed and its applicability was verified. The test results indicated that with the increase of the vertical load, the collapsibility coefficient exhibited a trend of rapid increase followed by slow increase, and eventually stabilized. This trend satisfied a hyperbolic function relationship, which was negatively correlated with the changes of the water content and dry density. SEM analysis on the loess specimens confirmed that collapsible deformation involved a gradual transition from a shelf structure to a mosaic-colloid structure. Factors such as pore size and particle morphology were found to have significant influences on the collapsibility. For prediction purposes, statistical theory and machine learning algorithms were utilized to select variables such as dry density, moisture content, initial porosity ratio, and pressure test parameters. The GA-SVM model had higher accuracy and better applicability. The findings of the current study can provide valuable guide for the construction and management of water-conveyance projects in loess regions.

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Section: Natural Hazardsmentioning

confidence: 62%

Section: Natural Hazardsmentioning

confidence: 99%

Collapsible characteristics and prediction model of remodeled loess

Fan,

Zhang,

Shi

et al. 2024

Preprint

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“…Pan et al (2021) utilized the Richards equation and parameter inversion approach to properly simulate the dynamic process of soil moisture change, with the aim of quantitatively analyzing the permeability characteristics of soil (Pan et al, 2021). Wang et al formulated an analytical model that establishes a connection between the collapsibility coefficient and several physical indicators of loess (Wang et al, 2021a). Shao et al examined the correlation between moisture content, void ratio, and collapse features by assessing the physical property indicators of various loess sites exhibiting varying degrees of collapse (Shao et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Simulation and Evaluation of Collapsible Risk of Low Impact Development Rainwater System in Collapsible Loess Area

Jing,

Hou,

Pan

et al. 2024

Preprint

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To assess the risk levels of collapse for various low-impact development (LID) measures used in constructing stormwater systems in collapsible loess areas, the high-efficiency and high-precision urban stormwater model (GAST) was used to analyze the risk of waterlogging. Combined with the time of waterlogging accumulation, a method is proposed to assess the collapse risk level of various LID measures by considering the correlation between the collapsibility coefficient and soil parameters. This method was then used to analyze the changing patterns of settlement risk levels in grassed swales and rain gardens under different rainfall return periods (P1=20a, P2=50a, P3=100a) and water accumulation durations (T1=0.5 day, T2=5 day). The findings indicate a direct correlation between the rainfall return periods and the level of risk for collapse. At P3=100a, 50% of the collapse risk level in the study region reaches level III. Nevertheless, when the water accumulation duration is 5 days, the percentage of places classified as category III increases to 75%. Although rain gardens are better than grass swales at storing water, they also increase the risk of collapse. Therefore, it is essential to carefully monitor the durability of rain gardens during long periods of frequent rainfall. The evaluation approach proposed in this research demonstrates a 75% accuracy rate, confirming it as an initial and reliable instrument for evaluating the risk associated with building low-impact development stormwater systems in collapsible loess areas. Moreover, it can be employed to conduct additional investigations of the collapsibility impacts of LID measures in places with collapsible loess.

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“…Collapsible loess is a typical structural soil with strong water sensitivity [1,2]. Although loess exhibits high strength and low compressibility at low water content, its strength decreases when wetted with water [3].…”

Section: Introductionmentioning

confidence: 99%

Effect of Polypropylene Fiber on the Unconfined Compressive Strength of Loess with Different Water Content

Ni¹,

Zhong²,

Wang³

2023

Journal of Renewable Materials

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Fiber-reinforced soils have been of great interest to experimenters for building foundations' strength performance, time, and economy. This paper investigates the effects of water content and polypropylene fiber dosage and length on loess's unconfined compressive strength (UCS) according to the central composite response surface design test procedure. The water content is 11%-25%, the mass ratio of fiber to soil is 0.1%-0.9%, and the fiber length ranges from 6-18 mm. The response surface method (RSM) developed full quadratic models of different variables with response values. After analysis of variance (ANOVA), the mathematical model developed in this study was statistically significant (p ≤ 0.05) and applicable to the optimization process. The optimization results showed that the optimal water content values, fiber amount, and fiber length were 16.41%, 0.579%, and 14.90 mm, respectively. The unconfined compressive strength of the optimized specimens was increased by 288.017 kPa. The research results can reference the design and construction of fiber-reinforced soil in practical projects such as road base engineering and foundation engineering.

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Study of the repeated collapsibility of undisturbed loess in Guyuan, China

Cited by 22 publications

References 23 publications

Collapsible characteristics and prediction model of remodeled loess

Collapsible characteristics and prediction model of remodeled loess

Simulation and Evaluation of Collapsible Risk of Low Impact Development Rainwater System in Collapsible Loess Area

Effect of Polypropylene Fiber on the Unconfined Compressive Strength of Loess with Different Water Content

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