Study on Loess Consolidation Collapse Test and Prediction Model in Jingyang District, Shaanxi Province

LIU Yingying; XIE Wanli; ZHU Hua; YU Hong; GE Ruihua

Northwestern Geology > 2018 > 51(2): 227-233.

LIU Yingying, XIE Wanli, ZHU Hua, et al. Study on Loess Consolidation Collapse Test and Prediction Model in Jingyang District, Shaanxi Province[J]. Northwestern Geology, 2018, 51(2): 227-233.

Citation:

LIU Yingying, XIE Wanli, ZHU Hua, et al. Study on Loess Consolidation Collapse Test and Prediction Model in Jingyang District, Shaanxi Province[J]. Northwestern Geology, 2018, 51(2): 227-233.

Citation:

LIU Yingying, XIE Wanli, ZHU Hua, et al. Study on Loess Consolidation Collapse Test and Prediction Model in Jingyang District, Shaanxi Province[J]. Northwestern Geology, 2018, 51(2): 227-233.

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Study on Loess Consolidation Collapse Test and Prediction Model in Jingyang District, Shaanxi Province

1. State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an 710069, Shaanxi, China;
2. Key Laboratory for Geo-hazard in Loess Area, Ministry of Land and Resources, Xi'an Center of Geological Survey, China Geological Survey, Xi'an 710054, Shaanxi, China

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Received Date: October 11, 2017
Revised Date: March 19, 2018
Available Online: July 28, 2022
Published Date: June 04, 2018

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Abstract

Abstract

The study of loess collapsibility problem has great engineering significance and value. Based on natural moisture content, the five sets of undisturbed loess samples with water content of 12%, 15%, 18% and 20% respectively have been collected from the Jingyang area of Shaanxi Province. The single-line method has been used to test the collapsibility of loess in this study area, the compressive properties and collapsibility coefficient of loess under different normal stresses have been obtained, the influence of different water content and different pressure on collapsibility of loess have been studied in this paper. The results show that the coefficient of collapsibility increases with the increase of pressure at lower moisture content. On the contrary, at higher moisture content, the coefficient of collapsibility first increases firstly, and then decreases with increasing pressure. But, the relationship between the coefficient of collapsibility and the moisture content is relatively complex. At the same pressure, the collapsibility coefficient peaks at a certain moisture content. According to the curve characteristics of collapsibility coefficient, moisture content and pressure, a regression equation has been established for collapsibility coefficient and moisture content of loess under different pressures. Finally, based on the least squares support vector machine, the loess density, moisture content and pressure have been used as predictors, thus, a collapsibility prediction model for loess has been established. The results show that this model established by the support vector machine can meet the engineering requirements for predicting the collapsibility of loess.
- loess collapsibility,
- prediction model,
- regression relationship,
- support vector machine (SVM)

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Study on Loess Consolidation Collapse Test and Prediction Model in Jingyang District, Shaanxi Province

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