Citation

Wu B, Lu H, Chen B, Gao Z. Sensors (Basel) 2017; 17(7): s17071657.

Affiliation

School of Civil Engineering & Architecture, East China Jiao Tong University, Nanchang 330013, China. 13755692074@163.com.

Copyright

(Copyright © 2017, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s17071657

PMID

28753912

Abstract

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.

Language: en

Keywords

bridge; distributed macro-strain; fiber optic sensor; model updating; response prediction