Estimation of embankment settlement caused by deterioration of soft rock grains

Miščević, Predrag; Vlastelica, Goran

doi:10.1007/s10064-017-1203-4

Cited by 15 publications

(5 citation statements)

References 30 publications

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“…This method has large errors in the early construction period of embankment. Miščević et al [20] developed a calculation model to predict the additional settlement of embankment caused by alteration of rockfill and expanded the knowledge range on settlement deformation of embankment for solving the additional settlement of embankment caused by the worsening of soft rockfill. Zhang et al [21] put forward a practical calculation technique that can predict the deformation of embankment under long-term traffic loads based on the theory of equivalent viscoelastoplastic model.…”

Section: State Of the Artmentioning

confidence: 99%

Stability of High Rockfill Embankment Based on Orthogonal Test and Numerical Simulation

2020

Teh. vjesn.

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The parameters of rockfill materials are important factors that influence the stability of high rockfill embankment. However, the influencing laws of parameter changes on the deformation of high rockfill embankments still remain unknown. To deepen understanding on the influencing laws of parameters of rockfill materials on the stability of high rockfill embankment, a case study using an orthogonal test and numerical simulation was conducted on the high rockfill embankment with 50.6 m banking in the secondary road reconstruction project of the national highway 316 from Xunyang to Ankang in the Shaanxi Province of China. The influences of elasticity modulus, dry density, Poisson's ratio, frictional angle, and cohesion on the stability of high rockfill embankment were analyzed. A three-dimensional numerical model of high rockfill embankment was constructed using FLAC3D, and a numerical simulation of the embankment deformation was performed using the maximum settlement of embankment as the evaluation index. The influences of different factors on the deformation of high rockfill embankment were evaluated through a numerical simulation based on the orthogonal test to verify the accuracy of the orthogonal test. In addition, the deformation law of high rockfill embankment was examined. Research results demonstrate that dry density predominantly influences the stability of high rockfill embankment, followed by elasticity modulus, Poisson's ratio, cohesion, and frictional angle. The optimal combination of parameters of rockfill materials was concluded from further analysis. The numerical simulation and orthogonal test results are consistent. The top surface of the high rockfill embankment develops settlement deformation during the construction period, accompanied by outward lateral squeezing trend at the foot of slope. The vertical deformation consists of settlement first and then upheaval. Research conclusions can provide some references for the reasonable selection of rockfill materials for embankment and the stability analysis of high rockfill embankment.

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Section: State Of the Artmentioning

confidence: 99%

Stability of High Rockfill Embankment Based on Orthogonal Test and Numerical Simulation

2020

Teh. vjesn.

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“…Previous studies have shown that most land subsidence events are caused by fluctuations in the water table [43][44][45][46][47], railway loading [48][49][50], geological faults [51][52][53], urban sprawl [54][55][56], and the lithology of the ground [57][58][59]. Chen et al [60] used InSAR to monitor the spatial and temporal evolution of surface subsidence in Lanzhou New District from 2003 to 2016.…”

Section: Introductionmentioning

confidence: 99%

Land Subsidence Monitoring and Building Risk Assessment Using InSAR and Machine Learning in a Loess Plateau City—A Case Study of Lanzhou, China

Zhang

et al. 2023

Remote Sensing

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As a representative city located in the Loess Plateau region of China, Lanzhou is affected by various environmental and engineering factors, such as precipitation, earthquake subsidence, and building construction, which all lead to frequent geological disasters. Obtaining information on land subsidence over a long time series helps us grasp the patterns of change in various types of ground hazard. In this paper, we present the results of using Interferometric Synthetic Aperture Radar (InSAR) to monitor land subsidence in the main urban area of Lanzhou from 26 October 2014 to 12 December 2021. The main influential factors leading to subsidence were analyzed and combined via machine learning simulation to assess the land subsidence risk grade distribution of a building unit. The results show that the annual average deformation rate in Lanzhou ranged from −18.74 to 12.78 mm/yr. Linear subsidence dominated most subsidence areas in Lanzhou during the monitoring period. The subsidence areas were mainly distributed along the Yellow River, the railway, and villages and towns on the edges of urban areas. The main areas where subsidence occurred were the eastern part of Chengguan District, the railway line in Anning District, and the southern parts of Xigu District and Qilihe urban area, accounting for 38.8, 43.5, 32.5, and 51.8% of the area of their respective administrative districts, respectively. The random forest model analysis results show that the factors influencing surface subsidence in Lanzhou were, in order of importance, precipitation, the distribution of faults, the lithology of strata, high-rise buildings, and the distance to the river and railway. Lanzhou experienced excessive groundwater drainage in some areas from 2015 to 2017, with a 1 m drop in groundwater and 14.61 mm surface subsidence in the most critical areas. At the same time, extensive subsidence occurred in areas with highly compressible loess ground and most railway sections, reaching a maximum of −11.68 mm/yr. More than half of the super-tall building areas also showed settlement funnels. The area at a very high risk of future subsidence in Lanzhou covers 22.02 km2, while the high-subsidence-risk area covers 54.47 km2. The areas at greatest risk of future subsidence are Chengguan District and Qilihe District. The city contains a total of 51,163 buildings in the very high-risk area, including about 44.57% of brick-and-timber houses, 51.36% of old housing, and 52.78% of super-tall buildings, which are at especially high risk of subsidence, threatening the lives and properties of the population. The deformation results reveal poor building safety in Lanzhou, providing an essential basis for future urban development and construction.

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“…De Bono and McDowell [ 13 ] found through the stress path test that the shear yield surface depends on the stress history, while the compression yield surface is isotropic. Miščević [ 14 ] found that the deterioration of particles in marl caused by the wetting and drying process led to additional settlement of embankment made of crushed soft rock particles.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Changes to Triaxial Shear Strength Parameters and Microstructure of Yili Loess with Drying–Wetting Cycles

et al. 2021

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This research examined the drying–wetting cycles induced changes in undrained triaxial shear strength parameters and microstructural changes of Yili loess. The drying–wetting cycles were selected as 0, 1, 3, 5, 10, 20 and 30. Then, we collected Yili loess samples and performed unconsolidated-undrained (U-U) triaxial shearing tests to ascertain the variation in shear strength parameters with drying–wetting cycles. Additionally, we investigated the microstructural changes of Yili loess samples under drying–wetting cycles simultaneously via nuclear magnetic resonance (NMR) and scanning electron electroscopy (SEM). Finally, we established a grey correlation model between shear strength and microstructural parameters. Under U-U conditions, the prime finding was that the loess’s shear strength parameters changed overall after drying–wetting cycles; in particular, the internal friction angle φ dropped significantly while the cohesion c changed only slightly during cycles. For all the cycles, the first cycle gave the highest change. Soil morphology deterioration was evident at the initial stage of cycles. During the entire drying–wetting cyclic process, pore size distribution showed progressive variance from two-peak to a single-peak pattern, while both porosity and the fractal dimension of pores increased gradually towards stability. Soil particle morphology became slowly simple and reached the equilibrium state after 20 drying–wetting cycles. Under cyclic drying–wetting stress, the shear strength parameter changes were significantly correlated to microstructural modifications. This investigation was related to loess in the westerly region. The findings were expected to provide new insight into establishment of the connection between microstructure and macro stress–strain state of loess. To some extent, it provided a theoretical basis for the prevention and control of loess engineering geological disasters in Yili, Xinjiang and other areas with similar climate and soil types.

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Estimation of embankment settlement caused by deterioration of soft rock grains

Cited by 15 publications

References 30 publications

Stability of High Rockfill Embankment Based on Orthogonal Test and Numerical Simulation

Stability of High Rockfill Embankment Based on Orthogonal Test and Numerical Simulation

Land Subsidence Monitoring and Building Risk Assessment Using InSAR and Machine Learning in a Loess Plateau City—A Case Study of Lanzhou, China

Investigation of Changes to Triaxial Shear Strength Parameters and Microstructure of Yili Loess with Drying–Wetting Cycles

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