Welcome to the web site of our multi-disciplinary research program on structural health monitoring (SHM) and prognosis of aerospace systems.
In this MURI project, established in 2006, we are aiming at producing a major advance in the ability to provide reliable life cycle estimates for current and future aircraft systems. The current states of structural health monitoring (SHM), damage diagnosis and prognosis will be transformed by the introduction of a hierarchical framework of sensor data, information, models and algorithms that span and integrate scales from microstructure to structural level. The proposed effort addresses the RCAs of this MURI topic through integration of material characterization (including high temperature), computational modeling, sensor instrumentation, information management, damage detection and benchmark laboratory experiments. The proposed effort will be undertaken by an interdisciplinary research team with specific expertise in material, structural, mechanical, electrical and systems engineering and with extensive experience in interdisciplinary collaborative research projects under DoD sponsorship. To ensure Air Force relevance, the team has already started engaging AFRL personnel to help identify crucial issues; the team plans to aggressively pursue collaborations with DoD laboratory personnel during the project to optimize our understanding of crucial challenges, the use of available test data, and the likelihood of transitioning results from the project into DoD practice. We are supported by the Department of Defense MURI program through the Air Force Office of Scientific Research (AFOSR).
Simulation of Impact Event
Structural health monitoring is extremely important for aerospace structures because of mainly two issues: aging and impact. This picture shows some of the structural areas being prone to damage such as frame, wing, and fuselage.
The proposed effort will address integration of material characterization, computational modeling, sensor instrumentation, information management, damage detection and benchmark laboratorys experiments as depicted in the following figure. This overall goal will be pursued using a multidisciplinary approach including the following primary research tasks:
Figure: A multidisciplinary approach to prognosis and residual life estimation.