Resilience defines the ability of an engineered system to sense and withstand adverse events*, and to recover from the effects of the adverse events. Most of today’s engineered systems are designed with a passive and fixed design capacity―the stress level that the system design can withstand― and, as the systems enter the (post-design) operation stage, they may become unreliable in the presence of adverse events. Therefore, these systems are vulnerable and not resilient. Recently, health monitoring and prognostic techniques have emerged to detect, diagnose, predict, and manage the system-wide effects of adverse events. Capitalizing on these techniques in the early design stage enables the transformation of these vulnerable systems into resilient systems. This research will pioneer a new design paradigm, referred to as resilience-driven system design, by integrating design of reliable system functions and robust failure prognosis in a unified design framework. Specifically, it will focus on three research thrusts: (i) To develop new methods for predictive resilience analysis; (ii) To discover the relationship between resilience, reliability, and prognostic efficiency; and (iii) To create a unified design framework that considers failure prognosis and mitigation/recovery in the early design stage.

* An adverse event refers to the failure of a component of an engineered system that occurs due to internal hazards (e.g., manufacturing defects and material degradation) and/or external hazards (e.g., harsh operating conditions and abusive use) during the operation of the system

Publications

1. Youn B.D., Hu C., and Wang P., “Resilience-Driven System Design of Complex Engineered Systems,” Journal of Mechanical Design, v133, n10, 101011(15), 2011. [ DOI ]
2. Youn B.D., Hu C., Wang P., and Yoon J.T., “Resilience Allocation for Resilient Engineered System Design,” Journal of Institute of Control, Robotics and Systems, v17, n11, p1082-1089, 2011. [ DOI ]
3. Wang P., Youn B.D., and Hu C., “Concurrent Design of Functional Reliability and Failure Prognosis for Engineered Resilience,” ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), Aug 4-7, 2013, Portland, OR.
4. Youn B.D., Hu C., and Wang P., “Resilience-Driven System Design of Complex Engineered Systems,” 9th World Congress on Structural and Multidisciplinary Optimization (WCSMO-9), June 13-17 2011, Granship, Shizuoka, Japan.
5. Youn B.D., Hu C., and Wang P., “Resilience-Driven System Design of Complex Engineered Systems,” ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), Aug 28-31 2011, Washington, DC. (ASME DAC Top 10 Best Papers)