Tied-arch bridge deflection identification method based on long gauge length fiber grating sensors

An optical fiber sensor, tied arch bridge technology, applied in the direction of instruments, optical devices, measuring devices, etc., can solve the problems of unsuitable tied arch bridge structure, observation noise sensitivity, etc., to save construction time, reduce equipment and personnel budget, The effect of huge economic and social benefits

Active Publication Date: 2016-06-29
SOUTHEAST UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Quadratic integral acceleration measurement to obtain displacement is the most common method, but it is sensitive to observation noise
This method can succes

Method used

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  • Tied-arch bridge deflection identification method based on long gauge length fiber grating sensors
  • Tied-arch bridge deflection identification method based on long gauge length fiber grating sensors
  • Tied-arch bridge deflection identification method based on long gauge length fiber grating sensors

Examples

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Example Embodiment

[0061] Example one

[0062] Take as image 3 The test model of a tied arch bridge is shown as an example. The main body of the entire arch bridge is a steel structure with a length of 5.2m, a width of 0.875m and a height of 0.646m. According to the proposed method of the invention, the displacement identification of the arch bridge is carried out through the following steps: (1) According to the width-to-span ratio of the bridge, it can be determined that the curve characteristic of axial strain along the beam length is a quadratic curve, so three elements are selected to determine Top sensor layout plan; (2) lay out the 3 units at positions 1, 9, and 18 of the tie beam, and the sensor layout of the structure is as follows image 3 Shown

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Abstract

The invention discloses a tied-arch bridge deflection identification method based on long gauge length fiber grating sensors. The method comprises the steps of: arranging sensor, specifically, arranging one continuous long gauge length fiber grating sensor in the lengthening direction of the bottom part of a tie beam of the tied-arch bridge, and respectively arranging one long gauge length fiber grating sensor on three units arranged on different positions in the length direction of the top part of the tie beam of the tied-arch bridge; collecting and processing data, and specifically calculating the axial strain of each unit; adopting a parabola fitting mode to obtain the axial strain on the whole tie beam; according to the axial strain on the whole tie beam obtained by fitting, calculating the bending strain on the whole tie beam; and according to the obtained bending strain, calculating the deflection of the tie beam on the tied-arch bridge. According to the invention, the plurality of sensors are added based on an original sensor arranging scheme, and the sensing arranging scheme of the sensors on the top part of the tie beam is made. In this way, the equipment and manual budget is substantially lowered, the construction time is saved, and more economic benefits can be made.

Description

technical field [0001] The invention relates to a method for identifying the deformation distribution of a tie-bar arch bridge, which can realize effective and real-time monitoring of the deformation distribution of the tie-bar arch bridge. Background technique [0002] Deflection deformation distribution is one of the most important indicators for structural performance evaluation. However, existing displacement sensors still face many problems in measuring structural deformation, especially long-span bridges. The contact displacement sensor needs to have a fixed position, and its complex equipment installation is also a challenge for large-span structures; although non-contact technology can improve accurate and effective measurement, it is also affected by many factors. Taking GPS technology as an example, GPS technology has the advantages of effective, fast, automatic and all-weather operation, but it is limited by low acquisition frequency, and its accuracy depends on ...

Claims

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Application Information

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IPC IPC(8): G01B11/16
CPCG01B11/165
Inventor 张建张青青夏琪孙安吴智深
Owner SOUTHEAST UNIV
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