Evaluation of the mechanical parameters of a reinforced concrete dam based on multi‐source data

Huang, Yaoying; Xie, Tong; Xu, Yao; Wang, Ronglu

doi:10.1002/suco.202100797

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…Therefore, it is necessary to find the most sensitive parameter for inversion. In this paper, the elastic modulus was chosen as the parameter of inversion by combining the engineering practice and the research of other scholars [30][31][32]. Based on the material parameters of the dam body and foundation, the elastic modulus of the dam body and the foundation in the inversion were set to 20-26 Gpa and 4-8 Gpa, respectively.…”

Section: Resultsmentioning

confidence: 99%

An Automated Framework for the Health Monitoring of Dams Using Deep Learning Algorithms and Numerical Methods

Chao,

Lin,

et al. 2023

Applied Sciences

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Aiming to investigate the problem that dam-monitoring data are difficult to analyze in a timely and accurate automated manner, in this paper, we propose an automated framework for dam health monitoring based on data microservices. The framework consists of structural components, monitoring sensors, and a digital virtual model, which is a hybrid of a finite element (FE) model, a geometric model, a mathematical model, and a deep learning algorithm. Long short-term memory (LSTM) was employed to accurately fit and predict the monitoring data, while dynamic inversion and simulation were used to calibrate and update the data in the hybrid model. The automated tool enables systematic maintenance and management, minimizing errors that are commonly associated with manual visual inspections of structures. The effectiveness of the framework was successfully validated in the safety monitoring and management of a practical dam project, in which the hybrid model improved the prediction accuracy of monitored data, with a maximum absolute error of 0.35 mm. The proposed method can be considered user-friendly and cost-effective, which improves the operational and maintenance efficiency of the project with practical significance.

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Section: Resultsmentioning

confidence: 99%

An Automated Framework for the Health Monitoring of Dams Using Deep Learning Algorithms and Numerical Methods

Chao,

Lin,

et al. 2023

Applied Sciences

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“…To accurately analyze the real working state and stress distribution of the corbel beam structure, a detailed inspection and analysis of its concrete quality after years of operation is required. Concrete strength is an important parameter to measure the quality of concrete, and the measurement of concrete strength can provide a reliable basis to accurately evaluate the safety of the corbel beam structure [20][21][22][23]. This project uses core drilling for concrete strength testing, which has the advantages of being direct, reliable, and accurate.…”

Section: Concrete Quality Inspection Of the Corbel Beam Structurementioning

confidence: 99%

Research on the Safety Assessment of Corbel Beams of Reservoir Radial Gates Based on Real States

et al. 2023

Self Cite

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The radial gate corbel beam is a kind of gate support structure more often used in large and medium-sized reservoirs, but the current corresponding structural design code does not give a review calculation method for it. Because there are obvious differences between a corbel and a corbel beam in structural form and force, if the corbel beam is just simplified in the calculation as a corbel structure, it can easily lead to misjudgment of insufficient bearing capacity. This misjudgment has a significant impact on later safety assessment, danger removal, and reinforcement. Currently, there are limited studies available on the internal stress distribution of the corbel beam. In this study, taking the danger removal and reinforcement of the radial gate beam of a medium reservoir in Beijing as an example, the concrete quality of the dam was tested by the core drilling method, and two safety review methods of the corbel beam for different types of reservoirs were proposed in combination with the Code for Design of Hydraulic Concrete Structures (SL191-2008). Then, three different types of calculation model were established by the method of theoretical mechanics calculation and finite element simulation. Combined with the safety test data, the stress state of the combined stress structure of the corbel beam and gate pier under the real state was analyzed and the safety evaluation was carried out. The calculation results of these two corbel beam safety review methods were respectively reduced by 32% and 47% compared with the current calculation method. Engineering practice has proved the rationality of the two safety evaluation methods proposed in this paper, which can provide a certain reference for similar engineering reinforcement.

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A new approach for mechanical parameter inversion analysis of roller compacted concrete dams using modified PSO and RBFNN

Zhang

Shen

et al. 2022

Cluster Comput

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Evaluation of the mechanical parameters of a reinforced concrete dam based on multi‐source data

Cited by 5 publications

References 25 publications

An Automated Framework for the Health Monitoring of Dams Using Deep Learning Algorithms and Numerical Methods

An Automated Framework for the Health Monitoring of Dams Using Deep Learning Algorithms and Numerical Methods

Research on the Safety Assessment of Corbel Beams of Reservoir Radial Gates Based on Real States

A new approach for mechanical parameter inversion analysis of roller compacted concrete dams using modified PSO and RBFNN

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