Journal
SENSORS
Volume 17, Issue 7, Pages -Publisher
MDPI AG
DOI: 10.3390/s17071657
Keywords
model updating; distributed macro-strain; fiber optic sensor; response prediction; bridge
Funding
- doctoral research foundation of East China Jiaotong University [20034170051001]
- Science and Technology Project of Jiangxi Provincial Communications and transportation department [2016H0019, 2016H0020]
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A finite model updating method that combines dynamic-static long-gauge strain responses is proposed for highway bridge static loading tests. For this method, the objective function consisting of static long-gauge stains and the first order modal macro-strain parameter (frequency) is established, wherein the local bending stiffness, density and boundary conditions of the structures are selected as the design variables. The relationship between the macro-strain and local element stiffness was studied first. It is revealed that the macro-strain is inversely proportional to the local stiffness covered by the long-gauge strain sensor. This corresponding relation is important for the modification of the local stiffness based on the macro-strain. The local and global parameters can be simultaneously updated. Then, a series of numerical simulation and experiments were conducted to verify the effectiveness of the proposed method. The results show that the static deformation, macro-strain and macro-strain modal can be predicted well by using the proposed updating model.
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