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Movable intelligent rapid monitoring and bearing capacity evaluation algorithm for viaduct

A bearing capacity and elevated bridge technology, applied in the direction of speed/acceleration/shock measurement, calculation, measuring device, etc., can solve the problems of deviation of evaluation results, cumbersome checking and calculation process, and inability to evaluate the bearing capacity of bridge structures

Pending Publication Date: 2020-07-10
上海城建城市运营(集团)有限公司 +1
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AI Technical Summary

Problems solved by technology

The evaluation method based on design codes is cumbersome, and the results are conservative, which cannot excavate the potential bearing capacity of the bridge.
The load test evaluation method uses the data obtained from the field test to evaluate the bridge structure, and the evaluation results are intuitive and reliable, but the static load test uses the calibration coefficient as the absolute index of the evaluation, which will easily lead to deviations in the evaluation results; the dynamic load test evaluation system is not perfect. It is impossible to directly evaluate the bearing capacity of the bridge structure, and it is mainly used for the evaluation of work performance at present
The evaluation method based on target reliability requires detailed detection and reliability calculation for the bridge being evaluated, and the process of establishing a time-varying load resistance model is relatively cumbersome.

Method used

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  • Movable intelligent rapid monitoring and bearing capacity evaluation algorithm for viaduct
  • Movable intelligent rapid monitoring and bearing capacity evaluation algorithm for viaduct

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0018] Example: see figure 2 , the following field test is carried out on the bridge span of 1116#~1117# on the Shanghai Inner Ring Elevated Road near Zhongshan North 2nd Road. Example of competency assessment.

[0019] Retrieve the vertical vibration acceleration data collected by the No. 4 wired acceleration sensor in the middle of the bridge, and use the above acceleration integration theory to obtain the ideal displacement signal and get the maximum value =0.1153mm.

[0020] Ansys is used to establish a finite element model, and the solid model uses SOLID65 unit, regardless of the stiffness of the pavement layer, multiplying the concrete density by a coefficient to simulate the quality of the pavement layer. Carry out model correction and dynamic characteristic analysis to obtain the theoretical value of structural fundamental frequency =4.2740Hz; Add a static load of 282.632kN to the mid-span of the finite element model to obtain the static deflection of the mid-spa...

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Abstract

The invention relates to the technical field of bridge monitoring and evaluation, in particular to a viaduct movable intelligent rapid monitoring and bearing capacity evaluation algorithm. The algorithm comprises the steps: acquiring an acceleration signal, performing integrating into displacement by combining a high-pass filter; solving an impact coefficient by combining a finite element model; performing dynamic characteristic analysis on the acceleration signal, solving a deflection check coefficient in combination with a finite element model, substituting the solved impact coefficient anddeflection check coefficient into a comprehensive index formula to obtain a comprehensive index, and forming a method for evaluating the bearing capacity of the urban viaduct bridge by setting a reasonable threshold interval. Compared with the prior art, a set of movable intelligent rapid monitoring technology suitable for the urban viaduct is formed by using a low-price acceleration sensor, and rapid evaluation of the bridge bearing capacity is realized by solving important parameters such as an impact coefficient, a deflection check coefficient and a comprehensive index. The method has the advantages of being good in evaluation effect, higher in calculation efficiency and capable of adapting to the urban viaduct.

Description

technical field [0001] The invention relates to the technical field of bridge monitoring and evaluation, in particular to a movable intelligent rapid monitoring and bearing capacity evaluation algorithm of viaducts. Background technique [0002] With the rapid development of urbanization in our country, viaducts, as an effective method to solve traffic congestion and realize urban rapid transportation, are more and more appearing in people's field of vision. With the increase of traffic volume and service time of urban bridges, structural damage and aging gradually accumulate, the bearing capacity of bridges decreases year by year, and the structural safety cannot be guaranteed. It has important practical significance for the evaluation of the bearing capacity of urban viaducts. [0003] At present, the commonly used evaluation methods for the bearing capacity of bridge structures at home and abroad mainly include: appearance survey method, evaluation method based on design ...

Claims

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Application Information

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IPC IPC(8): G06F30/13G06F30/23G06K9/00G01P15/00
CPCG01P15/00G06F2218/04
Inventor 彭崇梅操莉马明雷韦学健金昌哲张枢文
Owner 上海城建城市运营(集团)有限公司