Open Access
Issue
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
Article Number 03014
Number of page(s) 4
Section Energy Conservation Renovation of Green Buildings and Existing Buildings
DOI https://doi.org/10.1051/e3sconf/201913603014
Published online 10 December 2019
  1. Ren WX, Guido De Roeck. (2002) Structural damage identification using modal data I: Simulation verification. Journal of Structural Engineering. Vol.128 (1), pp.87-95. [CrossRef] [Google Scholar]
  2. Sun XD, Ou JP. (2009) Assessment of vibration based damage indexes in structural health monitoring[J]. Journal of Vibration and Shock. 28 (01):9-13+191. [Google Scholar]
  3. Srinivas M, Patnaik LM. (1994) Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Transactions on Systems Man and Cybernetics. [Google Scholar]
  4. Yi WJ, LIU X. (2001) Damage diagnosis of structures by genetic algorithms[J]. Engineering Mechanics. (02):64-71. [Google Scholar]
  5. Wang XP, Cao LM. (2002) Genetic Algorithm - Theory, Application and Software Implementation[M]. Xi’an: Xi’an Jiaotong University Press. Xi’an. [Google Scholar]
  6. Yuan Y, Lin G, Liu CG, Zhou AH. (2005) Study on an Application of Genetic Algorithm to Damage Identification[J]. Journal of Disaster Prevention and Mitigation Engineering. (04):369-374. [Google Scholar]
  7. Huang MS, WU L, ZHU HP. (2012) Structural damage identification based on improved damage identification factor and genetic algorithm under noise[J]. Journal of Vibration and Shock. 31(21):168-174. [Google Scholar]
  8. Wang XM. (2007) ANSYS engineering structure numerical analysis[M]. People’s Communications Publishing House. Beijing. [Google Scholar]

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