Damage Classification on Bridges using Backpropagation Neural Network


  • Victoria Ivy Tansil Bina Nusantara University
  • Novita Hanafiah Bina Nusantara University
  • Alexander Agung Santoso Gunawan Bina Nusantara University
  • Dewi Suryani Bina Nusantara University




structural health monitoring system, bridge structure, backpropagation neural network


Bridge structures can be damaged due to various factors such as pressure, vibration, temperature, etc. This study aims to detect damaged on bridges early so that accidents that can occur due to the damaged-on bridge can be avoided. The research method is divided into designing a model, building the model, and evaluating the model. The result of this research is a program that can classify healthy or damaged bridges using vibration data of tested points on bridges.


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Author Biographies

Victoria Ivy Tansil, Bina Nusantara University

Computer Science Department, School of Computer Science

Novita Hanafiah, Bina Nusantara University

Computer Science Department, School of Computer Science

Alexander Agung Santoso Gunawan, Bina Nusantara University

Computer Science Department, School of Computer Science


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