Reliability-based robust design of smart sensing systems for failure diagnostics using piezoelectric materials

Abstract

a b s t r a c tThis paper presents a reliability-based robust design approach to develop piezoelectric materials based structural sensing systems for failure diagnostics and prognostics. A detectability measure is defined to evaluate the performance of any given sensing system, and the sensing system design problem can be formulated to maximize detectability for different failure modes by optimally allocating piezoelectric materials into a target structure. This formulation can be conveniently solved within a reliability-based robust design framework to ensure design robustness while considering the uncertainties such as those from structure properties and operation conditions. Two case studies, that design sensor networks for an aircraft wing panel and a power transformer structure, are employed to demonstrate the effectiveness of the proposed methodology in developing multifunctional material sensing systems.

An Efficient Simulation-Based Search Method for Reliability-Based Robust Design Optimization of Mechanical Components

“…However, Forouzandeh Shahraki and Noorossana [15] express that the merits of RDO and RBDO should be combined to ensure both reliability and robustness of the designs, which is the main aim of RBRDO method. Although the concept of RBRDO is not new, the RDRDO method is gaining an ever increasing importance when seen in the recent literature [15][16][17]. In this work, the RBRDO method is taken as a base optimization procedure.…”