Aqueduct stress-strain prediction method under multi-factor association

Abstract

The invention discloses an aqueduct stress-strain prediction method under multi-factor association, and the method comprises the following steps: (1) firstly obtaining monitoring data information suchas a steel bar meter, a strain gauge and an environment temperature in an aqueduct body, and determining aqueduct stress-strain impact factors according to a hydraulic structure stress-strain statistical model; and (2) removing environmental noise by adopting an improved wavelet threshold noise reduction algorithm, and removing abnormal data noise according to historical statistical data of natural disasters; (3) carrying out dynamic correlation correction on the influence factors according to a data dynamic nonlinear relation measurement method (DNRM); (4) taking the corrected influence factor as input, taking the stress-strain data after noise reduction as output, and establishing an aqueduct stress-strain prediction model by adopting an SVM algorithm; (5) performing optimization parameter adjustment on the prediction model according to the root mean square error (RMSE), the mean absolute error (MAE) and the mean absolute percentage error (MAPE) evaluation indexes, and finally establishing an optimized aqueduct stress-strain prediction model.

Description

technical field [0001] The invention belongs to the field of aqueduct health monitoring, in particular to a method for predicting the stress and strain of an aqueduct under multi-factor correlation. The method is to realize the stress and strain prediction of different measuring points of the aqueduct by utilizing the influencing factors such as the water level of the aqueduct, the ambient temperature, and the monitoring time effect component . Background technique [0002] The aqueduct is one of the most widely used intersecting buildings in the canal system, which undertakes the important tasks of water transportation, water transfer and drainage. With the development of water conservancy projects in our country, aqueducts of various large and complex structures are increasing. While the aqueduct is in service, the aqueduct will be affected by many factors, such as: strong winds, earthquakes, water damage, temperature changes, etc. These factors can lead to damage such a...

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Problems solved by technology

However, this method does not consider the influence of the inherent noise of the sensor in the process of collecting data.

In addition, in the actual operation of the aqueduct, the impact of various environmental factors on the stress-strain changes in different parts of the aqueduct is different in different periods, that is, some factors have a stronger relationship with stress-strain, while some factors have a weaker relationship with stress-strain , this method “equally treats” the degree of correlation between environmental impact factors and stress-strain changes at different measuring points of the aqueduct, which is obviously unreasonable

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