基于灰色理论的大跨度钢管混凝土拱桥承载能力检测方法

doi:10.13229/j.cnki.jdxbgxb20210907

Abstract

Abstract:

In order to avoid bridge safety accidents caused by bearing capacity， a bearing capacity detection method of long-span concrete-filled steel tube arch bridge is proposed based on gray theory. The sensor is used as the main tool for bearing capacity detection， the detection system architecture is determined， and the control center， data transmission， acquisition and other functional modules are designed. Communication protocols are added， and sensitivity is set in combination with the sensor motion equation to ensure real-time data transmission. The mean value method is used to generate the grey sequence of the test data， the degree of cracks is taken as the main factor affecting the bearing capacity， and the grey correlation analysis and the transformation of the initial matrix are used to obtain the correlation coefficient. Standardize the standard deviation， standardize the test sequence， and obtain the parameters to be tested through accumulation and mean value processing to complete the bearing capacity test. The simulation experiment shows that the proposed detection method has good dynamic response performance. The detection results in both static and dynamic test environments show that there are no serious cracks in the bridge， and the bearing capacity is close to the theoretical bearing capacity.

Key words: grey theory, concrete filled steel tubular arch bridge, bearing capacity, grey correlation analysis, sensor

CLC Number:

TU74

Bo XU,Chuan-xi LI. Detection method of bearing capacity of long-span concrete-filled steel tubular arch bridge based on grey theory[J].Journal of Jilin University(Engineering and Technology Edition), 2022, 52(10): 2360-2366.

Figures/Tables 7

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Detection method of bearing capacity of long-span concrete-filled steel tubular arch bridge based on grey theory

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