Construction method of concrete dam deformation safety monitoring model

A concrete dam and safety monitoring technology, which is applied in the direction of chaos model, nonlinear system model, building, etc., can solve the problems of single information mining method, ignore effective components, limit the accuracy of deformation prediction model, etc., and achieve the effect of improving prediction accuracy

Inactive Publication Date: 2020-06-09
NANCHANG UNIV
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Problems solved by technology

However, the above models are all single prediction models, and the information mining methods are single.
And it is limited by external uncertain factors and current monitoring technology and analysis theory, mainly considering the influence of main factors such as water pressure, temperature and aging, while ignoring the e

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  • Construction method of concrete dam deformation safety monitoring model
  • Construction method of concrete dam deformation safety monitoring model
  • Construction method of concrete dam deformation safety monitoring model

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[0069] Example: see figure 1 , figure 2 .

[0070] figure 1 It is a flow chart of a construction method of a concrete dam deformation safety monitoring model of the present invention. This embodiment is specifically: the maximum dam height of a certain roller compacted concrete gravity dam is 113.0m, the total length is 308.5m, the crest elevation is 179.0m, and the normal water storage level 173.0m, adjustable storage capacity 1.122 billion m 3 , the verified flood level is 177.8m, and the corresponding total storage capacity is 2.035 billion m 3 . The dam body has no longitudinal joints and is divided into 6 dam sections by 5 transverse joints. In order to ensure the safe operation of dams and underground powerhouses, relatively comprehensive monitoring items such as deformation, seepage, temperature, stress and strain, etc. have been arranged on the surface (or inside) of the main buildings. Dam deformation monitoring items mainly include vertical line (PL), inverted...

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Abstract

The invention discloses a construction method of a concrete dam deformation safety monitoring model, specifically, on the basis that by using the historical data of dam deformation observation, a stepwise regression model is established, a shuffled frog leaping algorithm (SFLA) with local optimization performance and global optimization performance is adopted to determine a weight coefficient of each sub-model, an inversion analysis method of dam prototype data is utilized to determine physical and mechanical parameters of a dam, a frog leaping hybrid model is established, and then a concretedam deformation safety monitoring model is obtained. According to the method, the residual error is analyzed and predicted by using the chaos theory, and the residual error prediction item is added tothe leapfrog prediction hybrid model, so that the problem that the fitting effect is good and the prediction result is poor due to the fact that the influence of the fitting residual error is not considered in a conventional dam displacement monitoring model is effectively solved.

Description

technical field [0001] The method of the invention relates to the technical field of dam operation safety monitoring and management, in particular, it is a method for constructing a concrete dam deformation safety monitoring model. Background technique [0002] In recent years, concrete dams are developing towards a high and high trend, and their working performance and safety issues have attracted more and more attention from the dam industry. Once a dam fails, it will cause huge economic and spiritual losses to the country and society. How to ensure the safe operation of the dam has become a prominent and important research topic in the field of dam safety monitoring. As one of the important observations for dam safety monitoring, deformation can directly and reliably reflect the structural damage and working behavior of the dam structure under the action of internal and external environments. How to establish a more accurate dam deformation prediction model based on the ...

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Application Information

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IPC IPC(8): G06F30/23G06F30/13G06N7/08E02B1/00
CPCG06N7/08E02B1/00
Inventor 魏博文罗绍杨雷斌李火坤袁冬阳
Owner NANCHANG UNIV
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