Dynamic-Data Driven Modeling of Uncertainties and 3D Effects of Porous Shape Memory Alloys
Craig C. Douglas · 2014
Abstract : We implemented a multiscale model developed in year 1 for shape memory alloys (SMAs) starting from an existing solid SMA model to simulate a simple vibration isolation device. We used protocols developed in year 1 for data acquisition that allowed vibration isolation experiments to be run remotely in our dynamic data-driven application system (DDDAS) framework. DDDAS has been realized via changing the temperature of the specimen dynamically so its general hysteresis properties dynamically changes. The implementation uses PetSC and is inherently parallel on high performance computing clusters. We simulated transporting payloads into space or in high speed, highly maneuverable aircraft. One of our team members (Derrick Cerwinsky) at Wyoming received a Ph.D. and worked on the project since shortly before completing his degree and continued as a post-doc. He was been essential to the code development in year 2.