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A Tensile Quantum Space Continuum System Identification Method for Time-varying Bridge Systems

A time-varying system, continuous system technology, applied in design optimization/simulation, complex mathematical operations, etc., can solve problems such as inability to accurately reflect bridge modal information, difficult to meet bridge inspection requirements, and low accuracy of identification results, and to improve computational efficiency. Efficiency and accuracy of identification results, less noise, and easy identification

Active Publication Date: 2021-06-22
SICHUAN DEPT OF TRANSPORTATION HIGHWAY PLANNING PROSPECTING & DESIGN RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the existing subspace system identification method in the prior art when applied to the bridge time-varying system, the calculation efficiency is low, the identification result accuracy is low, the bridge modal information cannot be accurately reflected, and it is difficult to meet the requirements of bridge detection. Requirements and other issues, providing a tensor quantum space continuum system identification method for bridge time-varying systems

Method used

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  • A Tensile Quantum Space Continuum System Identification Method for Time-varying Bridge Systems
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  • A Tensile Quantum Space Continuum System Identification Method for Time-varying Bridge Systems

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Embodiment 1

[0191] A curve cable-stayed model bridge with a curvature radius of 27.5m is selected for the impact load test under the intact state, and cable force sensors, lateral acceleration sensors, vertical acceleration sensors and longitudinal acceleration sensors are arranged on the curved cable-stayed model bridge, such as Figure 3-Figure 5 shown. The signal sampling frequency is 256Hz. The initial modal information of the cable-stayed bridge is obtained based on the vibration test signal of the first 8s, and the new modal information of the cable-stayed bridge is obtained every subsequent interval of 0.4s. Respectively adopt the tense quantum space system identification method established by the present invention and the traditional sliding window random subspace system identification method to identify the curved cable-stayed model bridge, so as to compare the continuous identification method of the tense quantum space in the present invention with the traditional sliding window ...

Embodiment 2

[0205] The vibration signal of the concrete bridge tower under the excitation of white noise is selected for the cable-stayed bridge shaking table test, the signal sampling frequency is 256Hz, and the signal acquisition time is 47s. The initial modal information of the cable-stayed bridge pylon is obtained based on the vibration test signal in the first 6s, and the new modal information of the cable-stayed bridge pylon is obtained every subsequent 5s. The TSI method established in this paper and the short-term sliding window determination subspace system identification method (hereinafter referred to as the CSI sliding window method, CSI is Combined Subspace Identification) are used to identify the cable-stayed bridge towers in order to compare the TSI method with the CSI method. performance of the method.

[0206] The stability maps generated by the CSI sliding window method and the TSI method are as follows: Figure 16 and Figure 17 As shown, it can be seen that the syste...

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Abstract

The invention discloses a tensor quantum space continuous system identification method of a bridge time-varying system, which includes collecting bridge time-varying signals; dividing the time-varying signal with a signal duration of T into N time windows according to the incremental step length L, and obtaining N Hankel matrix of a time window; establish a mathematical model for solving the tensor quantum space system matrix, X k =U k S k V T +W k ; Solve the tensor quantum space system matrix to obtain the frequency f of the i-th vibration mode in the k-th time window i，k , damping ratio ζ i，k and the mode shape vector φ for all orders k . The invention introduces the time dimension, expands the two-dimensional matrix to the three-dimensional tensor, establishes the time-varying Hankel tensor, and realizes the fast estimation of the system matrix based on the tensor operation based on the theory of tensor expansion and fast parallel decomposition of the tensor, which can Improve calculation efficiency and accuracy of recognition results, make it easier to recognize the modal parameter information of the system, and provide core technical support for real-time bridge health monitoring.

Description

technical field [0001] The invention relates to the field of bridge engineering time-varying nonlinear system identification, in particular to a method for identifying a tensor quantum space continuous system of a bridge time-varying system. Background technique [0002] Traditional bridge inspections generally require bridge inspection engineers to manually inspect the bridge structure. This method is too time-consuming and often requires interruption of traffic. The inspection and evaluation results often vary from person to person, and it is generally difficult to find damage to hidden parts of the structure through manual inspection. , it is difficult to meet the needs of the rapid development of modern transportation. And the structural damage diagnosis technology developed in modern times, that is, intelligent health monitoring technology, is a simple and economical method to assess the safety status of structures. [0003] In recent years, with the vigorous developme...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F17/16
CPCG06F17/16
Inventor 张二华单德山
Owner SICHUAN DEPT OF TRANSPORTATION HIGHWAY PLANNING PROSPECTING & DESIGN RES INST