Segmented modeling method of dam displacement based on BEAST time series decomposition

Xu, Xiaoyan; Yang, Jie; Ma, Chunhui; Qu, Xu-Dong; Chen, Jiamin; Cheng, Lin

doi:10.1016/j.measurement.2022.111811

Cited by 18 publications

(3 citation statements)

References 39 publications

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“…In petroleum engineering, the compact rock around the underground oil and gas storage caverns is usually in the saturated status via carrying out artificial water injection to further rise the leakproofness of caverns, aiming for preventing the leakage of oil and gas [28][29][30][31]. For the water-sealed underground oil and gas storage caverns, when experiencing engineering activities such as excavation of caverns, etc., the coupling effect between seepage and stress fields of the saturated surrounding compact is inevitable to occur, which has a significant influence on the stability of underground storage caverns [32][33][34][35]. Thus, correct analysis of the stability for underground water-sealed oil and gas storage caverns during engineering activities with considering hydromechanics has remarkable meaning for maintaining the safety of engineering projects.…”

Section: Of 20mentioning

confidence: 99%

Analysis of the Hydromechanical Properties of Compact Sandstone and Engineering Application

Tang

Zhang

Wang

et al. 2023

Water

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The paper proposes a method to simulate the mechanical behavior of compact rock considering hydromechanics by combining physical experiments and numerical analysis. The effectiveness of the constructed method is validated by the comparison between the numerical and physical results of triaxial shear experiments on sandstone in seepage conditions. Based on the validated method, the stability of underground water-sealed oil and gas storage caverns in surrounding compact sandstone during excavation is analyzed. The main findings are as follows: The intrinsic permeability of compact sandstone has a power function relationship with the porosity; the combination of the porous media elastic model and the modified Drucker–Prager plasticity model can preciously represent the mechanical properties of compact sandstone; the proposed method can accurately replicate the hydromechanical response of compact sandstone in seepage conditions; the effects of hydromechanical effects have significant impacts on the stability of surround compact sandstone during the excavation of underground water sealed oil and gas storage caverns, which causes the obvious increase in stress, deformation and plastic deformation zones of the surrounding compact sandstone and remarkable decrease in the stability safety factor.

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Section: Of 20mentioning

confidence: 99%

Analysis of the Hydromechanical Properties of Compact Sandstone and Engineering Application

Tang

Zhang

Wang

et al. 2023

Water

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“…Furthermore, Xu et al [10] used principal component analysis (PCA) to extract the comprehensive displacement of multiple monitoring points. Tey then decomposed the data into seasonal and trend displacements using the Bayesian estimator of abrupt change, seasonal change, and trend (BEAST) methodology, followed by quantifying and analyzing the changing laws of displacement.…”

Section: Introductionmentioning

confidence: 99%

Multipoint Deformation Safety Monitoring Model for Concrete Arch Dams Based on Bayesian Model Selection and Averaging

Cheng

Chen

et al. 2023

Structural Control and Health Monitoring

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The deformation properties of concrete arch dams are affected by the synergistic effects of multiple factors, featuring strong, multidimensional spatialtemporal evolution and distribution characteristics. This paper proposes a zoned safety monitoring model for arch dam deformation based on spatialtemporal similarity and model optimization to evaluate the deformation safety state of arch dam structures. First, zoned clustering of the deformation monitoring points at different locations of an arch dam was performed using a panel data multi-index clustering method to determine the deformation laws at different positions of the dam. Next, multipoint comprehensive displacements of the deformation properties of each zone were extracted using principal component analysis to extract the uniform deformation law of the monitoring point in each zone. Finally, we adopted Bayesian model selection (BMS) and Bayesian model averaging (BMA) for the regression model set, considering the uncertainty of the model. The engineering case study showed that BMA yielded robust and effective prediction results for the deformation of the arch dam. The analysis of the zoned deformation mechanism indicated that the deformation of the arch dam followed the general rule. The temperature component of the arch dam was mainly reflected in the middle with a hysteresis effect, and the time-dependent component was evident in both sides of the dam shoulder. The arch dam deformation safety monitoring model proposed in this study has strong robustness and interpretability, which can provide valuable technical support for analyzing the evolution of arch dam deformation properties.

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“…Due to the general failure to effectively identify dam deformation and implement appropriate preventive measures, the tragedies of dam collapses have been frequently reported in recent years [7][8][9][10][11]. Therefore, performing a long time series for deformation monitoring is essential for the safety operation and management decisions of earth-rock dams [12,13]. The Interferometric Synthetic Aperture Radar (InSAR) technique, developed in recent decades, has the advantage of a high spatiotemporal resolution, compared to traditional methods such as leveling and GNSS [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Investigating Deformation Mechanism of Earth-Rock Dams with InSaR and Numerical Simulation: Application to Liuduzhai Reservoir Dam, China

Liu,

Hu,

Liu

et al. 2023

Remote Sensing

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Ground deformation is the direct manifestation of the earth-rock dam's hazard potential. Therefore, it is essential to monitor deformation for dam warning and security evaluation. The Liuduzhai Dam, a clay-core dam of a large reservoir in China, was reinforced with plastic concrete cut-off walls between 13 January 2009 and 29 May 2010, as it was subject to leakage and deformation. However, the deformation development and the mechanism of the dam are still unclear. In this study, the deformation fields before and after the reinforcement of the Liuduzhai Dam were yielded by using the Interferometric Synthetic Aperture Radar (InSAR) technique. Furthermore, a numerical simulation method was employed to obtain the dynamic seepage field of the dam during the InSAR observation period. The results indicated that the average deformation velocity and maximum deformation velocity are −11.7 mm/yr and −22.5 mm/yr, respectively, and the cumulative displacement exceeds 100 mm, which shows typical continuous growth characteristics in a time series. In contrast, the dam deformation tended to be stable after reinforcement, with the average deformation velocity and maximum deformation velocity being −0.4 mm/yr and −1.2 mm/yr, respectively, behaving as cyclical deformation time series. According to the results of InSAR and seepage analysis, it is shown that: (1) dynamic seepage was the main mechanism controlling dam deformation prior to reinforcement; (2) the concentrated load caused by construction and the rapid dissipation of pore water pressure caused by the sudden drop of the infiltration line were the reasons for the acceleration of deformation during and after construction; and (3) the plastic concrete cut-off walls effectively reduced the dynamic seepage field, while the water level fluctuations were the main driving factor of elastic deformation of the dam after reinforcement. This study provides a novel approach to investigating the deformation mechanism of earth-rock dams. Furthermore, it has been confirmed that InSAR can identify the seepage deformation of dams by detecting surface movements. It is recommended that InSAR deformation monitoring should be incorporated into future dam safety programs to provide detailed deformation signals. By analyzing the temporal and spatial characteristics of the deformation signal, we can identify areas where dam performance has degraded. This crucial information aids in conducting a comprehensive dam safety assessment.

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Segmented modeling method of dam displacement based on BEAST time series decomposition

Cited by 18 publications

References 39 publications

Analysis of the Hydromechanical Properties of Compact Sandstone and Engineering Application

Analysis of the Hydromechanical Properties of Compact Sandstone and Engineering Application

Multipoint Deformation Safety Monitoring Model for Concrete Arch Dams Based on Bayesian Model Selection and Averaging

Investigating Deformation Mechanism of Earth-Rock Dams with InSaR and Numerical Simulation: Application to Liuduzhai Reservoir Dam, China

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