MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202621071057 A) filed by D Y Patil College Of Engineering, Akurdi, Pune on June 08, 2026, for Artificial Intelligence –based System For Predicting Structural Deformation Using Simulation–derived Data.
Inventors include D Y Patil College Of Engineering, Akurdi, Pune; Sharmistha Chakraborty; Lokesh Baliram Marathe; Dhotre Anjali Ashish; Dipak Santosh Thakur; and Pooja Hanmant Ritewad.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: A system for predicting structural deformation of building systems using Artificial Neural Networks (ANN) trained on simulation-derived datasets is disclosed. The invention utilizes structural parameters including applied loads (gravity and pressure), material properties, and boundary conditions as input features, and predicts total and directional deformation without requiring repeated finite element simulations. The dataset is generated from structural analysis performed in simulation environments such as ANSYS, and further expanded using parametric variation techniques. The trained neural network model enables rapid, real-time prediction of structural responses, thereby reducing computational cost and enabling efficient design optimization. The proposed method is particularly useful in civil engineering applications involving multi-storey buildings and load analysis.
Disclaimer: Curated by HT Syndication.
