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Deep neural network in the structural analyses

Grant number: 19/04747-0
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.