Optimization of Lattice Structure Using Machine Learning Approach
The goal line of designing any structure is to get maximum performance at minimum cost. Therefore, optimization is the only method to achieve that objective. Engineers have been practicing different formats of optimization. Topological optimization is one of the well-known long-practiced methods. But it is always desired to find the most helpful design method that considers every relevant parameter associated with the structure. In the continuation of this search to enhance the efficacy of design through optimization, a new approach was explored in the following work. The motivation was to enable a model to be capable of finding out the best design criteria numerically based on numerous dimensions so that the method could be examined on a ground irrespective of any constraint.
Minhaj, Tanzila Bint, "Optimization of Lattice Structure Using Machine Learning Approach" (2022). ETD Collection for University of Texas, El Paso. AAI29324823.