Investigating an approach for Estimation of Forces using Inverse FEA Utilizing Digital Twin
Abstract
The industry is moving quickly into a new era, the era of Internet of Things and Industry4.0. This means that everything should have some sort of virtual information databasewhere information such as environmal factors should be stored. For embedded systemsthe connection to internet is not a very far-fetched idea, but for structural object, suchas a bridge or a windmill, the method for connecting it to internet is not that straightforward. The solution to this is the so called Digital Twin. A digital twin is an as-builtFinite Element Model (FEM) which runes a continous real-time Finite Element Analysis(FEA) by using sensor inputs from the real life structure. The information will then bestored, and it is possible to view the load history on the structure or each substructurewithin a superstructure. Using a Digital Twin the predictive maintenance can hopefullybe estimated with great confidence. In this thesis it has been investigated and approachfor how to estimate a force (its direction and magnitude), and how to further implementthis in Fedem. A comparison of real strain gauge values versus the ones calculated fromthe input force in Fedem has been done.