Engineering, Mathematics and Computer Science Journal (EMACS)
Vol. 3 No. 2 (2021): EMACS

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)

Article Info

Publish Date
31 May 2021

Abstract

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.

Copyrights © 2021




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Journal Info
Engineering, Mathematics and Computer Science Journal (EMACS)
Website

Abbrev

EMACS

Publisher

Universitas Bina Nusantara

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics

Description

Engineering, MAthematics and Computer Science (EMACS) Journal invites academicians and professionals to write their ideas, concepts, new theories, or science development in the field of Information Systems, Architecture, Civil Engineering, Computer Engineering, Industrial Engineering, Food ...