Design of smart sensing functions using piezoelectric materials for failure diagnostics

Pingfeng Wang, Zequn Wang, Byeng D. Youn, Soobum Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a robust design framework to develop piezoelectric materials based structural sensing systems for failure diagnostics and prognostics. At first, a detectability measure is proposed to evaluate the performance of any given sensing system given various uncertainties. Thus, the censoring system design problem can be formulated to maximize the detectability of the censoring system through optimally allocating piezoelectric materials into a target structural system. Secondly, the formulated problem can be conveniently solved using reliability-based robust design framework to ensure design robustness while considering the uncertainties. Two engineering case studies are employed to demonstrate the effectiveness of the design framework in developing multifunctional material sensing systems.

Original languageEnglish (US)
Title of host publication40th Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791846315
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
EventASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014 - Buffalo, United States
Duration: Aug 17 2014Aug 20 2014

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume2A

Other

OtherASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014
CountryUnited States
CityBuffalo
Period8/17/148/20/14

ASJC Scopus subject areas

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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