2022
DOI: 10.1016/j.engstruct.2021.113648
|View full text |Cite
|
Sign up to set email alerts
|

Bridge load testing and damage evaluation using model updating method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
8
0
1

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
2
2

Relationship

0
8

Authors

Journals

citations
Cited by 38 publications
(9 citation statements)
references
References 37 publications
0
8
0
1
Order By: Relevance
“…Furthermore, by increasing the curved notch of the cross-sectional plate, the out-of-plane deformation of the cross-sectional plate caused by the torsional deformation of the longitudinal ribs could be effectively reduced [19,20]. In addition, the use of the high-strength friction-type bolted steel plate reinforcement method can restrain the expansion of cracks, while the reinforced cracked cross-sectional plate was found to have good force performance [21][22][23][24]. However, in the actual project, the reinforcement effect has to be carried out to test the stress distribution law after reinforcement by a real bridge load test and to analyze the effect of arc-cut optimization or steel plate reinforcement method on the force performance of other key parts of the cross-sectional plate.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, by increasing the curved notch of the cross-sectional plate, the out-of-plane deformation of the cross-sectional plate caused by the torsional deformation of the longitudinal ribs could be effectively reduced [19,20]. In addition, the use of the high-strength friction-type bolted steel plate reinforcement method can restrain the expansion of cracks, while the reinforced cracked cross-sectional plate was found to have good force performance [21][22][23][24]. However, in the actual project, the reinforcement effect has to be carried out to test the stress distribution law after reinforcement by a real bridge load test and to analyze the effect of arc-cut optimization or steel plate reinforcement method on the force performance of other key parts of the cross-sectional plate.…”
Section: Introductionmentioning
confidence: 99%
“…If the boundary condition of the structure is simplified as a fixed or pin instead of considering soil-properties, the updated FE model will be inaccurate. [13][14][15][16][17][18] Next, most of the FE model updating methods are not compatible with commercial FE software such as LS-DYNA. LS-DYNA, a commercial FE program, has secured the reliability of the SSI analysis; [19][20][21][22][23][24] however, it cannot perform efficient FE model updating.…”
Section: Introductionmentioning
confidence: 99%
“…The average age of in-service bridges in the United States is increasing, which necessitates methods and tools to inform decision making related to maintenance and/or replacement of these structures [1]. Finite Element (FE) model updating methods have emerged as a venerable procedure for operational health monitoring and post-event structural damage identification [2][3][4][5][6][7][8][9][10][11][12][13][14][15]. In these methods, the initial/baseline FE model -developed using available as-built Disclaimer/Publisher's Note: The statements, opinions, and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s).…”
Section: Introductionmentioning
confidence: 99%
“…Although the estimated linear model parameter can be used for structural monitoring and damage identification [22], the application of modal-based model updating for damage identification of reinforced concrete bridges has been shown to be limited [23,24]. The second group of model updating approaches is referred to as time-domain model updating [15,25,26]. In this approach, the unknown model parameters characterizing linear and/or nonlinear response behavior of structure are updated to reduce the discrepancies between the measured and FE-predicted responses in time domain.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation