Method for assessing reliability of anti-seepage curtain based on monitoring data of dam

Abstract

The invention discloses a method for assessing reliability of an anti-seepage curtain based on monitoring data of a dam. The method comprises the steps of firstly searching seepage monitoring data of a dam project, specifically including searching and acquiring seepage monitoring data of the reservoir dam, comprising an upstream reservoir level, a downstream tailwater level, temperature, precipitation and dam base uplift pressure of different dam sections or a seepage quantity seepage macroeconomic factor behind the curtain; then preprocessing the monitoring data, and building a dam seepage lag model; then determining weights of each component by using a PSO-BP neural network; and at last determining reliability and an aging degree of the anti-seepage curtain of the dam according to proportions of the upstream reservoir level component of each dam section in different time periods. The method provided by the invention has the characteristic of being quantitatively assessing the reliability and aging degree of the anti-seepage curtain of the same, thus providing a scientific basis for ensuring dam security and achieving the greatest benefit, and meanwhile has the characteristics of being cost-saving, simple and convenient to operate and high in reliability.

Description

technical field [0001] The invention relates to a method for evaluating the reliability of a dam anti-seepage curtain, in particular to a method for evaluating the reliability of an anti-seepage curtain based on dam monitoring data. Background technique [0002] As of 2012, my country has built 87,800 reservoir dams of various types, with an average dam age of 22.87 years. In terms of age, most dams in my country have entered the middle to old stage. The key components are under the action of high-pressure seepage flow for a long time, and the hydrogeochemical environment is complex. The anti-seepage curtain will continue to suffer from erosion and aging and attenuation. The reliability of the dam anti-seepage curtain has an important impact on the stability and safety of the dam foundation. . [0003] Aiming at the problem of the reliability of the anti-seepage curtain, in actual work, some methods have been discussed and some progress has been made by using methods such as ...

AI Technical Summary

Problems solved by technology

For example, the in-situ fatigue pressure water test method is used to evaluate the reliability of the anti-seepage system. This method indirectly evaluates the anti-seepage ability of the curtain body by the degree of change in the amount of water pressure. However, this method does not consider the time factor and cannot reflect the anti-seepage ability of the curtain body. Attenuation law with time; anti-corrosion indoor test is based on the relationship between the dissolution amount of CaO and the dissolution time, and the anti-seepage aging of the curtain body is estimated. The difficulty in applying this method in practice is which technology is used to catalyze the indoor accelerated aging of the curtain body; The water environment characteristics of the dam site and the physical and chemical characteristics of the precipitates behind the scenes, using numerical simulation methods to analyze the transformation relationship between water-rock-curtain body, and analyzing the source of the precipitates, can study the attenuation mechanism of the anti-seepage curtain body and calculate the anti-seepage time limit

[0004] The above methods are cumbersome to operate, costly, and require certain professional knowledge. Some engineering practitioners use the monitoring data after the completion of the dam to establish a linear function according to the dynamics of the seepage water behind the dam foundation and its relationship with the reservoir water level. Evaluating the anti-seepage performance and timeliness of the curtain body by looking for mutation points and changing trends, this method is simple and easy to understand, but it does not consider the hysteresis effect of the reservoir water level, does not consider the influence of factors such as precipitation on seepage water, and does not fully explore the large Dam seepage monitoring data hides information, resulting in a waste of data information. Using simple linear functions to describe the complex nonlinear system of dam foundation seepage sometimes even leads to wrong conclusions

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