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Monitoring method, device and system, computer equipment and storage medium

An algorithm model and machine learning technology, which can be used in measurement devices, vibration testing, elasticity testing, etc., and can solve problems such as bridge condition monitoring.

Active Publication Date: 2020-06-26
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the current monitoring method, the state of the bridge cannot be accurately and effectively monitored.

Method used

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  • Monitoring method, device and system, computer equipment and storage medium
  • Monitoring method, device and system, computer equipment and storage medium
  • Monitoring method, device and system, computer equipment and storage medium

Examples

Experimental program
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Effect test

example 1

[0128] Image 6 It is a flow chart of an online monitoring method for bridge displacement under the action of wind according to another exemplary embodiment, as shown in Image 6 shown, and refer to Figure 7 , the method includes:

[0129] Step 61, processing the obtained wind speed into two parts, the average wind speed and the fluctuating wind speed.

[0130] In step 62, the static wind load on the bridge at this time can be calculated according to the average wind speed and the three-component force coefficient, and then the average displacement of the bridge under the action of the average wind speed can be obtained through the finite element model.

[0131] Step 63: Obtain the buffeting force spectrum, aerodynamic stiffness and aerodynamic damping related to the aerodynamic derivative according to the fluctuating wind speed spectrum, aerodynamic admittance and three-component force coefficient generated by the fluctuating wind speed, and then obtain the response spectr...

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Abstract

The invention discloses a monitoring method, device and system, computer equipment and a storage medium, and relates to an online monitoring method for bridge displacement under the action of wind, which comprises the following steps: determining the average wind speed and the fluctuating wind speed of wind acting on a bridge; determining a static wind load of average wind acting on the bridge based on the average wind speed; determining a buffeting force spectrum of the pulsating wind acting on the bridge based on the pulsating wind speed; and inputting the static wind load and the buffetingforce spectrum into a machine learning algorithm model to obtain the displacement of the bridge under the action of wind.

Description

technical field [0001] The present disclosure relates to the technical field of intelligent monitoring, in particular to an online monitoring method, device, system, computer equipment and storage medium for bridge displacement under wind action. Background technique [0002] Bridges are a key component of traffic arteries and an important guarantee for the development of the national economy. Bridges, especially long-span bridges, are very sensitive to wind loads due to their great flexibility, and will produce large deformation and vibration under the dynamic action of wind. When building cross-mountain, river-cross, and sea-cross bridges in mountainous areas, along the river, and along the coast where the wind speed is relatively high, the effect of wind load on the bridge must be comprehensively considered to ensure the safety of the bridge structure. Therefore, it is very important to monitor the state of the bridge in order to take timely measures to ensure the safety...

Claims

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Application Information

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IPC IPC(8): G01M5/00G01M7/02G01M13/00G06F30/23G06F111/10G06F119/14
CPCG01M5/0008G01M5/005G01M5/0066G01M7/02G01M13/00
Inventor 严磊何旭辉卢思颖任磊郭辉
Owner CENT SOUTH UNIV
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