Virtual tests are aimed at improved aircraft safety

The University of Texas from Arlington, the mechanical and aerospace engineering professor Arlington, Endel Irenve, received a contract from the Air Force Research Laboratory to perform the virtual testing of the composite materials used in the aerospace systems.

Its research uses computer models to predict how these materials will perform under real conditions, improving the durability and safety of the aircraft.

Dr. Iarve, who runs the Institute for Predictive Performance Methodologies at the University of Texas at Arlington Research Institute in Fort Worth, collaborates with researchers at Michigan Institute of Technology, University of Utah, Colombia University and Lockheed Martin Aeronautics.

The team will develop and test computer -based modeling technologies that simulate how materials will make in certain situations in the real world. These models will allow researchers to test the practical materials, reducing the need for costly and time -consuming physical experiments. Research could increase the development of advanced composites, including those made of polymers, ceramics and carbon -based materials.

“We will focus on a wide range of composite materials, mainly materials at high temperatures,” Iarve said. “Our work will involve the construction of a computing platform. Although there is no single application for results, it will serve as a framework for future air forces and could be used for manufacturing process modeling tasks.”

IARVE research focuses on developing methods of modeling deterioration in materials and composite structures in a variety of conditions. This work will be improved by the project partners, who cover everything, from the molecular level to the structure simulations on a full scale. The research integrates the science and engineering of the computing materials, combining both the manufacturing aspects and the performance of the advanced composite materials.

The Institute for Predictive Performance Methodologies is a unique resource dedicated to predicting the performance of advanced composites and materials. It develops specialized methods for analyzing, characterizing and evaluating materials, allowing predictions of future performance based on current conditions and material history.

– written by Jeremy AgorThe College of Engineering