The effects of initial stresses on nonlinear dynamic response of high arch dams subjected to far-field underwater explosion

Pan, Xinhao; Wang, Gaohui; Lu, Wenbo; Peng, Yan; Chen, Ming; Gao, Zheng

doi:10.1016/j.engstruct.2022.114040

Cited by 17 publications

(5 citation statements)

References 27 publications

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“…e essential difference between classification and regression is the continuity of the data processed by the problem. e data values to be processed in the regression problem are continuous, such as measuring the water level height of a certain reservoir in a certain period of time [15]. e data to be processed in the classification problem are discontinuous and discrete.…”

Section: Principle and Selection Of The Logistic Regression Algorithmmentioning

confidence: 99%

Resource Management and Optimization Method of Music Audio-Visual Archives under the Background of Big Data

Deng

2022

Mathematical Problems in Engineering

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With the development of music and video, music and video management has been in a relatively backward state. This study uses the logistic regression algorithm based on sigmoid functions to analyze and process the music audio-visual library of a music software and establishes the logistic regression dynamic model, which provides a scientific research method for this complex system. The LPC characteristic coefficient is extracted, and then the logistic regression model of music audio-visual archives resources is established. After completing the model, this study obtains the logistic regression model through a series of experiments, which effectively optimizes the management of music audio-visual archives. The specific experimental conclusions are as follows: through genre classification and emotion classification, users can search more music audio-visual archives resources. The comparison shows that the recommendation effect after filtering by the logistic regression model is better than that of the nonstandard collaborative filtering recommendation system. Finally, after practical applications, it is concluded that the model based on the logistic regression algorithm has made a good optimization conclusion for the resource management of music audio-visual archives.

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Section: Principle and Selection Of The Logistic Regression Algorithmmentioning

confidence: 99%

Resource Management and Optimization Method of Music Audio-Visual Archives under the Background of Big Data

Deng

2022

Mathematical Problems in Engineering

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“…Pan et al examined the earthquake efects of initial stresses on the 3D dynamic behavior of arch dams. It was seen that the initial stress is very important for the structural response of high arch dams subjected to underwater explosions [16]. Pereira et al monitored the dynamical behavior of arch dams during the frst flling of the reservoir.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Relationship between Reservoir Level Changes and Earthquake Damage Responses of High Arch Dams: A 3D Numerical Study of Ermenek Arch Dam (220 m) in Turkey

Çavuşli

2023

Advances in Civil Engineering

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Examining the earthquake behaviors of important water structures such as arch dams is of great importance for the future and safety of these structures. Besides, different reservoir heights, which occur as a result of different seasonal precipitation, can cause great losses in the structural behavior of arch dams. For this reason, in this study, the effects of various reservoir water heights on the earthquake behavior of arch dams are evaluated by considering a creep material model. Ermenek dam, one of the highest dams in Turkey, is chosen for the 3D (3D) numerical analyses. This dam has 4 different gallery spaces in its body and it has a body height of 220 m. While creating a 3D finite-different model of the dam, the creep material models are utilized for the concrete and foundation sections. For the 3D earthquake analyses, free-field and quiet nonreflecting boundary conditions (BCs) are defined to the boundaries of the model. Besides, fix BCs are added to the base of the dam. While creating the gallery spaces of the dam, the original dam project is taken into consideration, and attention is paid to creating the oval geometry of the gallery spaces following the project. For earthquake analyses, 4 different water levels (25 m, 85 m, 150 m, and 200 m) are considered, and hydrostatic forces and water table are used while generating the reservoir water. Furthermore, a total of 18 different strong ground motions are used in the earthquake analyses to examine the earthquake behavior of the dam. According to the earthquake analyses, it is concluded that different reservoir heights have great effects on the earthquake behavior of the Ermenek dam. Moreover, it has been observed that the height of the reservoir water causes significant earthquake stress and displacement differences around the gallery spaces of the dam.

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“…Due to their high overload capacity, lightweight dam body, and strong seismic performance, concrete arch dams are constructed and used as water retaining structures worldwide; examples include the Jingping I (305 m), Baihetan (289 m), Inguri (271.5 m), and Hoover (220 m; R. Wang, 2016). These high arch dams are characterized by strong hydrostatic loads, high stress levels, complex topographic and geological conditions, and multiple risk sources, resulting in greater challenges for safe operation than small‐ and medium‐sized dams (Pan et al., 2022). The data show that more than 20 high arch dams with a height of over 200 m have been built around the world.…”

Section: Introductionmentioning

confidence: 99%

Inverse analysis of deformation moduli for high arch dams using the displacement reconstruction technique and multi‐objective optimization

Li,

Wu,

Chen

et al. 2023

Computer aided Civil Eng

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The inverse analysis of the deformation moduli of high arch dams based on displacement monitoring data is essential for structural safety assessment. In traditional inverse analysis methods, the deformation moduli are identified based on the single‐objective optimization and the hydrostatic component derived from the statistical model. This type of method has two main shortcomings: First, it treats the essential multi‐objective optimization problem as a single‐objective problem; second, the extracted hydrostatic component may be biased due to the multicollinearity of variables in the statistical model. This paper presents a methodology for the inverse analysis of the deformation moduli of high arch dams under a multi‐objective optimization strategy. The methodology employs empirical mode decomposition to extract the aging component from displacement monitoring data. Then, thermomechanical analysis is used to reconstruct the remaining hydrostatic and temperature components, thereby avoiding the biases encountered in solving the statistical model. The adaptive polynomial chaos expansion method is embedded in the NSGA‐III algorithm to establish and solve multi‐objective functions in the inverse analysis. Additionally, a composite decision index considering errors and test information is proposed to determine acceptable deformation moduli from the Pareto solution set. A high arch dam is selected to illustrate this methodology with static and dynamic monitoring data. The results show that the identified deformation moduli have errors of 3.8% and 7.2% in displacement and acceleration, respectively. The proposed methodology can yield deformation modulus values that are more consistent with the physical implications than those of the single‐objective optimization method.

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The effects of initial stresses on nonlinear dynamic response of high arch dams subjected to far-field underwater explosion

Cited by 17 publications

References 27 publications

Resource Management and Optimization Method of Music Audio-Visual Archives under the Background of Big Data

Resource Management and Optimization Method of Music Audio-Visual Archives under the Background of Big Data

Evaluating the Relationship between Reservoir Level Changes and Earthquake Damage Responses of High Arch Dams: A 3D Numerical Study of Ermenek Arch Dam (220 m) in Turkey

Inverse analysis of deformation moduli for high arch dams using the displacement reconstruction technique and multi‐objective optimization

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