Research on an abnormality diagnosis method of the structural behavior of spatial crack systems in concrete dams

Yang, Guang; Gu, Chongshi; Zhao, Yixuan; Su, Huaizhi; Shi, Zhongwen; Chen, Jianhua

doi:10.1016/j.ijleo.2016.09.070

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…. , n) is treated as an approximation under a certain measure, which is the objective function J(E) given by equation (6).…”

Section: Deformation Modulus Inversion Methodmentioning

confidence: 99%

“…us, the parameters obtained from these tests present large discrepancies with the true values and cannot reflect the real operational situation of projects, especially aging concrete dams [3,4]. erefore, the mechanical parameters of concrete dams should be determined through inverse analysis based on prototype observation data [5,6]. Gu and Wu [7] proposed a deterministic model and a mixed model to obtain the mechanical parameters of concrete dams.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory

Cao

2019

Advances in Civil Engineering

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Inverse analysis is necessary for concrete dams in normal operation to overcome the discrepancy between the true mechanical parameters and test results. In view of the uncertain characteristics of concrete dams, a stochastic inverse model is proposed in this study to solve the undetermined mechanical parameters with sequential and spatial randomness using measured displacement data and Bayesian back analysis theory. An inversion method for the mechanical parameters of concrete dams is proposed. Fast Fourier transform algorithm is introduced to generate random fields for SFEM analysis. The case study shows that the proposed inversion method can reflect the random characteristics of concrete dams, the mechanical parameters obtained are reasonable, and the inverse model is feasible.

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“…. , n) is treated as an approximation under a certain measure, which is the objective function J(E) given by equation (6).…”

Section: Deformation Modulus Inversion Methodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory

Cao

2019

Advances in Civil Engineering

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“…The changing status of joint cracks is one of the main concerns in the health evaluation of concrete structures, especially for concrete dams. The abnormality of joint cracks will weaken the strength and rigidity, destroy the integrity and impermeability, accelerate concrete corrosion and carbonization, and endanger safe operating condition of the dam 1–4 . According to an investigative report issued by the International Committee on Large Dams, a total of 243 dams have collapsed as a result of cracking problems 5,6 .…”

Section: Introductionmentioning

confidence: 99%

Spatio‐temporal data mining method for joint cracks in concrete dam based on association rules

Huang

Liu

et al. 2021

Structural Contr & Hlth

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Structural health monitoring (SHM) has been widely employed to reveal the hidden safety information and to diagnose the safety status in dam engineering fields. As one of the most important parameters of SHM, crack opening displacement (COD) is often used to evaluate the cracks or joints of concrete dams. In this paper, a new dam health analytic perspective is introduced by integrating the data mining method into SHM field, focusing on revealing the association rules in COD monitoring data. The association rules are investigated systematically, considering the cause-effect relations between external loads and structural response, the temporal characteristics of time series for a single sensor, the spatial characteristics of monitoring data for multisensors, and the abnormal characteristics for different items of structural responses. The association relation is quantified by proposing the quantitative indexes, including support degree, confidence degree, and promotion degree. The methods are used in the COD monitoring data of the Baishan concrete gravity-arch dam, which is located in a severely cold area in northeastern China. Results show that 4 out of 24 cause-effect association rules are extracted by calculating the association degree of monitored COD values, and 21 out of 24 crack sensors present a temporal association relationship, among which the confidence degree of two sensors reaches 100%. The variation trend of COD values is relevant with the locations of the crack sensors. These results are consistent with the dam safety monitoring theories and models, which would be very useful for extracting the SHM information between different sensors, predicting the trend of COD value and repairing the monitoring data series of COD sensors, or even for discovering an abnormal signal for the operation safety of dams.

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“…The basic information on some high dam projects in the world is given in Table 1 (Wu and Cao et al, 2016). During long-term service processes, high dams are effected by external loads, such as wind waves hydraulic pressure, temperature load, dam foundation uplift pressure, and hydraulic pressure (Yang and Gu et al, 2016). Furthermore, high dams must sustain extreme loads, for instance there have earthquake, floods, and landslide (Lin and Ma et al, 2014;Ma and Chi, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, high dams must sustain extreme loads, for instance there have earthquake, floods, and landslide (Lin and Ma et al, 2014;Ma and Chi, 2016). concrete structures can sustain not only static loads but also dynamic loads, it strength and durability (Gu and Qin et al, 2013;Chen and Gu et al, 2016). Therefore, concrete structures has become an essential material in high dam construction (Zhang and Wang et al, 2014;Wang and Wang et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Risk analysis of concrete pouring operation during high dam construction

2016

Revista de la Facultad de Ingeniería

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Due to the close connection of the high dam concrete pouring operation, the frequent risk evolution path of the personnel, construction machinery and the field environment is complex, which leads to high risk cost and frequent accidents. In order to reduce the operation risk and decrease the frequency of accidents, the risk theory needs to be utilized to analyze the risk of high dam concrete pouring operation. In this paper, we put forward the theory of risk interface framework and a fishbone diagram approach to analyze the factors of this operation. The general idea is that find the risk sources,describe risk interface and put forward the mechanism of high dam concrete pouring accident. Secondly, account forenergy carriers, after that the personnel, machine and environment are abstracted as the energy carriers or thedangerous energy carriers, the risk factors are identified. Then risk analysis is carried out according to the theory of risk interface. Meanwhile classify the risk factors according to fishbone diagramand their respective categories. The final risk analysis shows that thedangerous energy carriers are frequently interacted with each other and the risk factors are complex, and the possibility of accidents is extremely high in high dam concrete pouring operation.

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Research on an abnormality diagnosis method of the structural behavior of spatial crack systems in concrete dams

Cited by 3 publications

References 17 publications

Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory

Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory

Spatio‐temporal data mining method for joint cracks in concrete dam based on association rules

Risk analysis of concrete pouring operation during high dam construction

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