Probabilistic damage assessment by means of Bayesian FE model updating

Resolution and uncertainty analysis in Bayesian FE model updating applied to the damage assessment in a reinforced concrete beam

Applications of Statistics and Probability in Civil Engineering ◽

10.1201/b11332-415 ◽

2011 ◽

pp. 2815-2823

Author(s):

E Simoen ◽

E Reynders ◽

G Lombaert ◽

G De Roeck

Keyword(s):

Reinforced Concrete ◽

Uncertainty Analysis ◽

Damage Assessment ◽

Concrete Beam ◽

Model Updating ◽

Reinforced Concrete Beam ◽

Fe Model ◽

Fe Model Updating

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Damage assessment by FE model updating using damage functions

Computers & Structures ◽

10.1016/s0045-7949(02)00217-1 ◽

2002 ◽

Vol 80 (25) ◽

pp. 1869-1879 ◽

Cited By ~ 137

Author(s):

Anne Teughels ◽

Johan Maeck ◽

Guido De Roeck

Keyword(s):

Damage Assessment ◽

Model Updating ◽

Fe Model ◽

Damage Functions ◽

Fe Model Updating

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Uncertainty quantification in the damage assessment of a seven-story RC building slice through Bayesian FE model updating

Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures ◽

10.1201/b16387-285 ◽

2014 ◽

pp. 1955-1962

Author(s):

E Simoen ◽

B Moaveni ◽

J Conte ◽

G Lombaert

Keyword(s):

Uncertainty Quantification ◽

Damage Assessment ◽

Model Updating ◽

Fe Model ◽

Rc Building ◽

Fe Model Updating

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Damage Assessment of the Z24 Bridge by FE Model Updating

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.245-246.19 ◽

2003 ◽

Vol 245-246 ◽

pp. 19-26 ◽

Cited By ~ 10

Author(s):

Anne Teughels ◽

Guido De Roeck

Keyword(s):

Damage Assessment ◽

Model Updating ◽

Fe Model ◽

Fe Model Updating

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Application of FE Model Updating for Damage Assessment of FRP Composite Beam Structure

Topics in Modal Analysis II, Volume 6 - Conference Proceedings of the Society for Experimental Mechanics Series ◽

10.1007/978-1-4614-2419-2_39 ◽

2012 ◽

pp. 385-398

Author(s):

O. A. Adediran ◽

M. M. Abdel Wahab ◽

W. Xu ◽

A. D. Crocombe

Keyword(s):

Composite Beam ◽

Damage Assessment ◽

Model Updating ◽

Fe Model ◽

Beam Structure ◽

Frp Composite ◽

Fe Model Updating ◽

Composite Beam Structure

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A FE model updating technique based on SAP2000-OAPI and enhanced SOS algorithm for damage assessment of full-scale structures

Applied Soft Computing ◽

10.1016/j.asoc.2020.106100 ◽

2020 ◽

Vol 89 ◽

pp. 106100 ◽

Cited By ~ 1

Author(s):

D. Dinh-Cong ◽

T. Nguyen-Thoi ◽

Duc T. Nguyen

Keyword(s):

Damage Assessment ◽

Model Updating ◽

Full Scale ◽

Fe Model ◽

Scale Structures ◽

Fe Model Updating

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Vision-Based Structural FE Model Updating Using Genetic Algorithm

Applied Sciences ◽

10.3390/app11041622 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1622

Author(s):

Gun Park ◽

Ki-Nam Hong ◽

Hyungchul Yoon

Keyword(s):

Genetic Algorithm ◽

Model Updating ◽

Structural Parameters ◽

Fe Model ◽

Structural Members ◽

Stiffness Reduction ◽

Before And After ◽

Scale Test ◽

Fe Model Updating ◽

Story Building

Structural members can be damaged from earthquakes or deterioration. The finite element (FE) model of a structure should be updated to reflect the damage conditions. If the stiffness reduction is ignored, the analysis results will be unreliable. Conventional FE model updating techniques measure the structure response with accelerometers to update the FE model. However, accelerometers can measure the response only where the sensor is installed. This paper introduces a new computer-vision based method for structural FE model updating using genetic algorithm. The system measures the displacement of the structure using seven different object tracking algorithms, and optimizes the structural parameters using genetic algorithm. To validate the performance, a lab-scale test with a three-story building was conducted. The displacement of each story of the building was measured before and after reducing the stiffness of one column. Genetic algorithm automatically optimized the non-damaged state of the FE model to the damaged state. The proposed method successfully updated the FE model to the damaged state. The proposed method is expected to reduce the time and cost of FE model updating.

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