Damage identification of a railway bridge based on genetic algorithms

Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks - Proceedings of the 8th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2016

Volumn , Issue , 2016, Pages 998-1005

  Meixedo, A ^a   Calcada R A B ^a   Alves, V ^b   Ribeiro, D ^c   Cury, A ^d  

^a UNIVERSITY OF PORTO   (Portugal)

^b FEDERAL UNIVERSITY OF OURO PRETO   (Brazil)

^c INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO   (Portugal)

^d FEDERAL UNIVERSITY OF JUIZ DE FORA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

FINITE ELEMENT METHOD; GENETIC ALGORITHMS; ITERATIVE METHODS; MAINTENANCE; NUMERICAL MODELS; RAILROAD BRIDGES; RAILROADS; SAFETY ENGINEERING; TRANSPORTATION;

DAMAGE IDENTIFICATION; EFFICIENCY AND RELIABILITY; IDENTIFICATION METHOD; ITERATIVE PROCESS; ITS APPLICATIONS; NUMERICAL PARAMETERS; OBJECTIVE FUNCTIONS; REFERENCE MODELING;

DAMAGE DETECTION;

EID: 85001104724     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Alves V., Meixedo A., Ribeiro D., Calçada R., Cury A., 2015, “Evaluation of the performance of different damage indicators in railway bridges”, ICSI 2015 The 1st International Conference on Structural Integrity, Procedia Engineering, 114, 746–753, 2015, DOI:10.1016/j.proeng.2015.08.020
2. ANSYS, 2007, “Structural analysis guide – release 11.0”, In: ANSYS I, editor.
3. Bandara R.P., Chan T.H.T., Thambiratnam D.P.., 2014, “Frequency response function based damage identification using principal component analysis and pattern recognition technique”, Engineering Structures, 66,116-128.
4. CEN., EN1991-1-1, 2002, “Actions on structures – Part 1-1: General actions – Densities, self-weight, imposed loads for buildings”, Brussels: European Committee for Standardization.
5. Cury A. Cremona, and Dumoulin J., 2012, “Long-term monitoring of a PSC box girder C. bridge: Operational modal analysis, data normalization and structural modification assessment”, Mechanical Systems and Signal Processing, 33, 13-37.
6. Doebling S., Farrar C., Prime M., Shevitz D., 1996, “Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: A Literature Review”, Los Alamos National Laboratory Report LA-13070-MS.
7. ERRI D214/RP9, 2001, “Railway bridges for speeds >200km/h. Final Report”, European Rail Research Institute (ERRI), Utrecht, Netherlands.
8. Farrar C., Worden K., 2013, “Structural Health Monitoring – A Machine Learning Perspective”, John Wiley & Sons Ltd.
9. Gonzalez I., Karoumi R., 2015, “BWIM aided damage detection in bridges using machine learning”, Journal Civil Structural Health Monitoring, 5:715-725, DOI 10.1007/s13349-015-0137-4
10. He X., Kawatani M., Hayashikawa T., Furuta H., Matsumoto T., 2011, “A bridge damage detection approach using trainbridge interaction analysis and GA optimization”, Procedia Engineering, 14, 769-776.
11. Hester D., González A., 2012, “A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle”, Mechanical Systems and Signal Processing, 28, 145-166.
12. Magalhães F., Cunha A., and Caetano E., 2012, “Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection”, Mechanical Systems and Signal Processing, 28, 212-228.
13. Mathworks, 2011, “MATLAB – getting started guide”, Natick, USA.
14. Ribeiro D., 2012, “Efeitos dinâmicos induzidos por tráfego em pontes ferroviárias: modelação numérica, calibração e validação experimental”, Tese de doutoramento, Faculdade de Engenharia da Universidade do Porto. Porto, Portugal (in Portuguese).
15. Shu J., Zhang Z., Gonzalez I., Karoumi R., 2013, “The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model”, Engineering Structures, 52, 408-421.
16. Sohn H., Farrar C., Hemez F., et al., 2004, “A Review of Structural Health Monitoring Literature from 1996–2001”, Los Alamos National Laboratory Report LA-13976-MS, available online from Los Alamos National Laboratory, http://library.lanl.gov/.
17. UIC 774-3, 2001, “Track/bridge interaction: recommendations for calculations”, International Union of Railways, Paris, France.
18. Zhai W., Wang K., and Lin J., 2004, "Modelling and experiment of railway ballast vibrations", Journal of Sound and Vibration, Vol. 270, pp. 673-683.
19. Zhan J., Xia H., Chen S., Roeck G., 2011, “Structural damage identification for railway bridges based on train-induced bridge responses and sensitivity analysis”, Journal of Sound and Vibration, 330, 757-770.