Abnormality monitoring model of cracks in concrete dams

Bao, Tengfei; Dong, Qian; Zhou, Xiwu; Gui-fen, WU

doi:10.1007/s11431-011-4332-1

Cited by 15 publications

(13 citation statements)

References 7 publications

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“…Fu et al [143] studied the possible cracking of Xiaowan high arch dam under temperature-stress coupling action according to the monitoring data, which can provide the scientific basis for cracking prevention. Besides, Bao et al [144,145] and Gu et al [146] studied the variation of existing crack in dam and gave some advises for dam safety. And the researches of Liu et al [147] and Lei et al [148] on monitoring of crack initiation and expansion were from microscopic and macroscopic views respectively.…”

Section: Preventive Measures Of Local Damagementioning

confidence: 99%

Research advance in failure risk and local strength failure for high arch dams

Ren

Liu

2012

Chin. Sci. Bull.

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To develop national economy and use the water resources and hydropower resources sufficiently, a lot of high arch dams, with the height of more than 200 m, have been and will be built in China. Although arch dams have good mechanical behavior, there is still failure possibility due to the huge water pressure and high stress level in dam, complex topographic and geologic conditions, formidable environment and high intensity earthquake. As one of the three main aspects concerning the safety of high arch dam, the study on global destruction, has been elaborated in the literatures, and research advance in the other two aspects, namely the failure risk and local damage of high arch dams, will be reviewed in this paper. In recent years, the failure risk of high arch dams has been investigated, and the model for identifying dam failure risk factors has been established. It is shown that the foundation deterioration and strong earthquake are the major risk sources for high dam failure. With the fault tree method, the failure mode and failure probability of high arch dams are studied, and the principle for determining failure mode and the method of calculating failure probability are proposed. Meanwhile, the determination principle of acceptable risk standard for high arch dam was proposed, and the acceptable risk rate and the acceptable standard value of various risk losses were given. For the local damage of arch dam, it is pointed out that the local damage belongs to the strength failure at material level. The study on local failure mechanism of arch dam is reviewed, based on the theories that from traditional strength theory to damage mechanics and meso-mechanics theory. Aiming at the cracking, the main pattern of local failure of high concrete dam, the research advances in the analysis methods and cracking criteria for smeared crack model and discrete crack model are summarized, and the research findings of preventive measures for local failure are shown. high arch dam, failure risk, local damage, research advance Citation:Ren Q W, Li Q, Liu S. Research advance in failure risk and local strength failure for high arch dams. Chin Sci Bull, 2012Bull, , 57: 46724682, doi: 10.1007 To develop national economy, to save energy and to reduce emission, exploitation and utilization of water resources and hydropower resources are continued in China. At present, the height of arch dams under construction and to be built are of 300 m high level, such as Jinping arch dam (305 m high), Xiaowan arch dam (294.5 m high), Xiluodu arch dam (285.5 m high), and Baihetan arch dam (289 m high). The construction scale and difficulty of these dams are beyond the current design specifications, and there is hardly successful precedential reference. Moreover most of these high arch dams are located in the western region of China, where the topographic and geologic conditions are quite complex, with harsh environment and high seismic intensity as well as frequent geological disasters. In addition the resistance of dam and foundation may be red...

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Section: Preventive Measures Of Local Damagementioning

confidence: 99%

Research advance in failure risk and local strength failure for high arch dams

Ren

Liu

2012

Chin. Sci. Bull.

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“…From Figure 8 and Table 1, we can observe that with regard to the crack opening displacement, low reservoir water level and low temperature are the most adverse load combination, and high reservoir water level and low temperature are also a significantly adverse load combination. In fact during the dam operations, the dam suffered from two load combinations of high temperature and low water level and three load combinations of low temperature and low water level, which made the crack irreversible change during the end of 1976 to early 1977 [4,5,14]. Therefore, in order to achieve the stability of the crack and the safety of the dam, we should control the reservoir at the medium reservoir water level, i.e.…”

Section: Case Studymentioning

confidence: 99%

“…The formation and propagation of cracks in concrete dams are largely affected by the combinations of various loads, such as hydrostatic loads, temperature loads, and dynamic earthquake loads [1][2][3][4][5][6][7], during the dam operations. Different load combinations may have different influences on the crack behaviors.…”

Section: Introductionmentioning

confidence: 99%

Inferring rules for adverse load combinations to crack in concrete dam from monitoring data using adaptive neuro-fuzzy inference system

2011

Sci. China Technol. Sci.

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The formation and growth of cracks in concrete dams are mainly induced by hydrostatic and temperature loads. As cracks especially unstable cracks are of great danger to the safety of dams, it is critical to avoid extremely adverse load combinations during the dam operations to achieve the stability of cracks. Conventionally, the adverse load combinations have to be determined empirically by experts based on specific dam site conditions. Therefore, it is attractive to apply quantitative instead of empirical methods to identify the adverse loading conditions. In this study, we employ an adaptive neuro-fuzzy inference system (ANFIS) to Chencun concrete dam. The ANFIS is able to help us build a relationship between the model inputs (reservoir water level and air temperature) and the model output (crack opening displacement). Based on this relationship, the rules of the adverse load combinations to the crack are generated directly from the monitoring data. The accuracy of the trained ANFIS is proved by comparing the modeling results and the monitoring data. Our work demonstrates that the ANFIS is a useful approach for accurately recognizing the rules of the adverse load combinations that can be used in the knowledge base of dam safety expert system. crack, concrete dam, load combination, adaptive neuro-fuzzy inference system, rules Citation:Xu H Z, Li X H. Inferring rules for adverse load combinations to crack in concrete dam from monitoring data using adaptive neuro-fuzzy inference system.

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“…Meanwhile, the statistical models are dam safety monitoring models and built on the basis of measured data (water pressure, temperature, and dam effect) and some regression methods, including multivariate linear regression [5,6], stepwise regression [7,8], partial least squares regression [9,10], and kernel function partial least squares regressions [11]. Other than the deformation monitoring, statistical models have been extensively applied in other aspects of dam safety monitoring, such as seepage and crack [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Safety Monitoring Model of a Super-High Concrete Dam by Using RBF Neural Network Coupled with Kernel Principal Component Analysis

Chen

Lin

et al. 2018

Mathematical Problems in Engineering

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Effective deformation monitoring is vital for the structural safety of super-high concrete dams. The radial displacement of the dam body is an important index of dam deformation, which is mainly influenced by reservoir water level, temperature effect, and time effect. In general, the safety monitoring models of dams are built on the basis of statistical models. The temperature effect of dam safety monitoring models is interpreted using approximate functions or the temperature values of a few points of measurement. However, this technique confers difficulty in representing the nonlinear features of the temperature effect on super-high concrete dams. In this study, a safety monitoring model of super-high concrete dams is established through the radial basis neural network (RBF-NN) and kernel principal component analysis (KPCA). The RBF-NN with strong nonlinear fitting capacity is utilized as the framework of the model, and KPCA with different kernels is adopted to extract the temperature variables of the dam temperature dataset. The model is applied to a super-high arch dam in China, and results show that the Hybrid-KPCA -RBF-NN model has high fitting and prediction precision and thus has practical application value.

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Abnormality monitoring model of cracks in concrete dams

Cited by 15 publications

References 7 publications

Research advance in failure risk and local strength failure for high arch dams

Research advance in failure risk and local strength failure for high arch dams

Inferring rules for adverse load combinations to crack in concrete dam from monitoring data using adaptive neuro-fuzzy inference system

Safety Monitoring Model of a Super-High Concrete Dam by Using RBF Neural Network Coupled with Kernel Principal Component Analysis

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