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Sensor Arrangement Method for Reducing Uncertainty in Structural Mode Identification

A technology of structural modal and layout method, applied in special data processing applications, design optimization/simulation, etc., can solve problems such as structural model error measurement noise, achieve accuracy assurance, reduce uncertainty, structural modal parameters accurate effect

Active Publication Date: 2020-04-07
DALIAN UNIV OF TECH
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Problems solved by technology

The effect of modal parameter identification will be affected by the combined effects of structural model errors and measurement noise. Existing sensor layout methods generally only consider measurement noise

Method used

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  • Sensor Arrangement Method for Reducing Uncertainty in Structural Mode Identification
  • Sensor Arrangement Method for Reducing Uncertainty in Structural Mode Identification
  • Sensor Arrangement Method for Reducing Uncertainty in Structural Mode Identification

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Embodiment Construction

[0053] The specific implementation manners of the present invention will be further described below in conjunction with the technical solutions and accompanying drawings.

[0054] This method uses a simple simply supported beam structure for simple check calculation. Such as figure 1 As shown, the model consists of 19 two-dimensional Euler beam elements, each beam element is 0.1m. Proportional damping is used so that the structure has the same modal matrix as the undamped case. The simply supported beam structure has 20 nodes and 57 degrees of freedom. The to-be-selected measuring points of the sensor are 18 vertical degrees of freedom, where the acceleration sensor, velocity sensor and displacement sensor can all be arranged by the method proposed by the present invention.

[0055] The first step: establish a finite element model, and divide the simply supported beam into 20 nodes and 57 degrees of freedom. Take the 18 vertical vibration degrees of freedom as the candidat...

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Abstract

The invention belongs to the technical field of civil engineering structure health monitoring, and provides a sensor arrangement method for reducing the uncertainty of structural mode recognition. Theinfluences of structure model errors and measurement noises on measurement data are separated; the structural rigidity changes are used as the model errors; and Gaussian noises are used as the measurement noises. By adopting a Monte Carlo method, a large number of possible situations are simulated to obtain a structural mode matrix under the condition of the model errors; a conditional entropy index is proposed for quantifying and calculating the uncertainty of a mode recognition parameter result; and the problem of an uncertain Fisher information array, which cannot be solved by a traditional information entropy method is solved by using the conditional entropy index. A position corresponding to the minimum value of the conditional entropy index is an optimal sensor arrangement position.According to the sensor arrangement method provided by the invention, the influences of the structural mode errors and the measurement noises on the structural mode recognition are fully considered;and a great help is provided for improving the precision of structural mode parameter recognition.

Description

technical field [0001] The invention belongs to the optimal arrangement of sensors in the field of health monitoring of civil engineering structures. Considering the influence of structural model errors and measurement noise on the measured response data, a sensor arrangement method using conditional entropy as a criterion index is proposed. Background technique [0002] Sensor layout is an important part of structural health monitoring. The quantity and quality of monitoring data acquired by sensors directly affect the performance of structural health monitoring systems. How to arrange a limited number of sensors and obtain as much useful information as possible is a problem that needs to be considered in the optimal arrangement of sensors. In the field of health monitoring, structural modal parameter identification is of great significance in structural state identification, finite element model update and structural damage identification. The modal coordinates of the str...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/23
CPCG06F30/23
Inventor 伊廷华裴雪扬曲春绪李宏男
Owner DALIAN UNIV OF TECH
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