Identification of damage location in bridge deck by neural network

Zong Guang Sun, Jan Ming Ko, Yiqing Ni

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


Identification of damage locations is an important step in damage detection for large-scale bridge structures. By taking the cable-stayed Kap Shui Mun Bridge as an example, a method of damage localization for bridge deck by pattern recognition technique using neural network is studied. Dynamic network and GA (genetic algorithm) network are used to investigate the feasibility of the method. For dynamic network, the network structure is constructed dynamically with training progress. For GA network, the genetic algorithm is introduced in network training. Both networks can give satisfactory results when a small number of parameters are inputted.
Original languageEnglish
Pages (from-to)42-47
Number of pages6
JournalGongcheng Lixue/Engineering Mechanics
Issue number1
Publication statusPublished - 1 Feb 2004


  • Building structure
  • Damage detection
  • Neural network
  • Pattern recognition

ASJC Scopus subject areas

  • Mechanical Engineering


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