|Support type:||Scholarships in Brazil - Scientific Initiation|
|Effective date (Start):||May 01, 2019|
|Effective date (End):||April 30, 2020|
|Field of knowledge:||Engineering - Mechanical Engineering - Mechanics of Solids|
|Principal Investigator:||Larissa Driemeier|
|Grantee:||Gabriel Lopes Rodrigues|
|Home Institution:||Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil|
Understanding structural analysis in the context of artificial intelligence is the major challenge of the proposed project. In this work, the prediction of the response using artificial intelligence of a simple structural problem of lattice bars will be investigated. Although there is a large number of mathematical methods available to describe the linear behavior of a bar structure, the goal is to understand deep neural networks and investigate state-of-the-art learning techniques such as ReLU, dropout, mini-batch, etc. In this way, the work aims to analyze the applicability, comprehensiveness and accuracy of the deep neural networks in a simple structural analysis. The finite element numerical analysis will be used to generate network training and validation data.