There is a critical need to monitor materials state awareness of naval structures (ships and submarines) as well as next generation weapon systems with a highly reliable, minimally invasive system. Due to current inability to test new material systems or even exiting materials systems under all possible structural geometries or configurations, and loading and environmental conditions, it is virtually impossible to predict degradation in structural performance or when a component or structure will fail. As a result, the Navy has traditionally assigned large margins of safety to its structures in order to guaranty operational viability, often negating or crippling the reasons for using such materials in the first place. Therefore, it is expected that the development of a robust material state awareness framework could help mitigate such a situation. We propose the integration of multiscale modeling and guided wave based approach in order to develop a physics-based damage state awareness approach capable of detecting precursor to damage. A critical challenge in current damage detection scheme is the fact that damage at the microscale cannot be detected by off-the-shelf sensors. Therefore, it is necessary to use data from modeling to enhance the sensitivity of the sensing scheme in structural health monitoring (SHM). An effective multiscale model will visualize the effect of microscale damage on guided waves generated by the sensing system. Thus changes in signals measured by sensing system can be examined with better understanding of the effect of small damage, which can be hardly captured by conventional NDT devices.
|Effective start/end date||7/1/10 → 2/28/11|
- DOD: Small Business Technology Transfer (STTR): $35,000.00