Desenvolvimento de aplicativo para um sistema de manutenção de pontes de aço

Resumo

Highway bridges are structures subject to fatigue and corrosion effects. In this sense, this work aims to
develop a steel bridge maintenance system tool based on the use of a neural network model and a reliability
analysis, using languages such as Python, HTML, CSS and Javascript. The system prototype considers the
corrosion-fatigue effects and some maintenance activities to estimate the structure’s lifetime. According to the
simulations carried out on a steel bridge designed according to the AASHTO American code, it was found that the
increase in the traffic volume and in its growth rate can cause a reduction of up to 66% in the structure’s lifetime,
while the presence of maintenance activities can increase its lifetime by up to 71% depending on the traffic
parameters.