Transverse cracking in embankment dams resulting from cross-valley differential settlements

He, Ke; Fell, Robin; Song, Chongmin

doi:10.1080/19648189.2019.1691663

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…The values of T AS corresponding to the observed crest cracking events are provided in Table 1. Given the prior distribution of λ without any observed information and the successively observed values of T AS , the probability distribution for λ is progressively updated by recursively applying Equations ( 5) and (6). The prior distribution of λ without any observed information is presumed to be uniform distribution and is formulated with Equation ( 8) where λ min and λ max are equal to 0 d and 300 d respectively.…”

Section: Bayesian Estimation Of Probability Distribution For λmentioning

confidence: 99%

“…It is well known that crest cracking is closely related to the deformation behavior of earth dams and embankments, specifically the differential settlements [3,[6][7][8][9][10][11][12][13][14]. The deformation of high earth-rockfill dams can be accurately predicted using the Finite Element Method (FEM) with calibrated model parameters based on the in-situ deformation monitoring data [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Risk Evaluation and Early Warning of Crest Cracking for High Earth-Rockfill Dams through Bayesian Parameter Updating

Wang

et al. 2020

Applied Sciences

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Crest cracking is one of the most common damage types for high earth-rockfill dams. Cracking risk of dam crest is closely related to the duration of abnormal deformation state. In this paper, a methodology for dynamic risk evaluation and early warning of crest cracking for high earth-rockfill dams is proposed and mainly consists of: (a) The discrimination of abnormal deformation state related to crest cracking, which is implemented by comparing the crest settlement inclination with the threshold value. (b) Computation of crest cracking probability and estimation of cracking time. The exponential distribution is adopted to represent the probability distribution of the duration TAS of abnormal state before crest cracking. Then the crest cracking probability in a given time can be computed by integration with respect to TAS. Inversely, the cracking time corresponding to a given probability can be estimated. (c) Determination of the values of probability adopted to early warn crest cracking, which are suggested to be selected by statistical analysis of the calculated probabilities at the observed cracking times. (d) Bayesian estimation and updating of probability distribution of the parameter λ in the PDF of TAS, according to observed durations of abnormal state before crest cracking. The methodology is illustrated and verified by the case study for an actual earth-rockfill dam, of which crest cracking and recracking events were observed during the periods of high reservoir level. According to the observed values of TAS, the probability distribution for λ is progressively updated and the dispersion of the distributions of λ gradually decreases. The crest cracking probability increases with the duration of abnormal state and the width of confidence interval of the estimated cracking probability progressively contracts with the updating of the distribution for λ. Finally, the early warning of crest cracking for the dam is investigated by estimating the lower limit of cracking time. It is shown that early warning of crest cracking can be issued from at least 20 days ahead of the occurrence of crest cracking event. The idea of using duration of abnormal state of crest settlement to evaluate crest cracking risk of the earth-rockfill dam in this paper may be applicable to other dams.

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Section: Bayesian Estimation Of Probability Distribution For λmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Risk Evaluation and Early Warning of Crest Cracking for High Earth-Rockfill Dams through Bayesian Parameter Updating

Wang

et al. 2020

Applied Sciences

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“…Therefore, it becomes necessary to simulate an embankment with pre-existing cracks for a smooth assessment of the seismic stability of the embankment. Generally, a tension crack occurs in the crest of the embankment [8,10,[19][20][21][22]. Several studies have concluded that preexisting cracks on the embankment and earth structure reduce stability [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Impact of earthquake’s epicenter distance to failure of the embankment – A seismic prediction

Namdar,

Mughieda,

Bin Mohd Yasin

et al. 2023

Frattura Ed Integrità Strutturale

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Cracks in clayey soil cause a reduction in the seismic loading capacity which can lead to structural failures. Seismic acceleration is the primary cause of crack propagation and damage to the earth's structure. This study investigated the impact of the earthquake's epicenter distance on the embankment model with a pre-existing crack in the embankment's core. The research adopted the numerical modeling method of soil categorized as a no-tensile material to explain displacement in selected points of the model using the extended finite element method (XFEM). Artificial Neural Networks (ANNs) were used to predict displacement obtained by XFEM. It was observed that the failure pattern and the maximum displacement time of the model change with the associated distance of the earthquake's epicenter. The key study objective is to understand the model's failure mode and introduce a new classification in earthquake damage prediction.

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Tensile strength and dilative characteristics of compacted unsaturated clay-sized metalliferous tailings for bulk earthworks

Tian,

Williams,

Mandisodza

2024

Bull Eng Geol Environ

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Transverse cracking in embankment dams resulting from cross-valley differential settlements

Cited by 7 publications

References 9 publications

Dynamic Risk Evaluation and Early Warning of Crest Cracking for High Earth-Rockfill Dams through Bayesian Parameter Updating

Dynamic Risk Evaluation and Early Warning of Crest Cracking for High Earth-Rockfill Dams through Bayesian Parameter Updating

Impact of earthquake’s epicenter distance to failure of the embankment – A seismic prediction

Tensile strength and dilative characteristics of compacted unsaturated clay-sized metalliferous tailings for bulk earthworks

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