Towards sensing sheets based on large area electronics

Y. Yao, S. T.E. Tung, N. Verma, B. Glisic

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

6 Scopus citations

Abstract

The need for reliable and inexpensive Structural Health Monitoring (SHM) of civil structures and infrastructure is rapidly increasing. However, today's SHM technologies are based on sparsely-spaced sensors that do not allow reliable early detection of anomalies at locations of even modest distance from the sensors. This form of indirect damage detection raises the need for complex localization and sensing algorithms to overcome the limited resolution. The hypothesis of the presented research is that by substantially increasing the sensor response to local anomalies (i.e., increasing spatial resolution of sensors to a centimeter-scale over several square meters), direct sensing leads to improved reliability in damage detection. Technologies based on Large Area Electronics (LAE) can enable direct sensing and can be scaled to the level required for SHM. Thin-film strain gauges and control circuits are integrated on the flexible electronics and deposited on a polyimide sheet that can cover large areas. At the present stage of this research, crack tests with strain gauge sensors are used to study the layout of sensing elements on the LAE sensing sheet. Additionally, a characteristic identification test is carried out to evaluate alternative designs for sensing elements based on thin film transistors. The general concept of sensing sheets based on LAE (see Figure 1) and the results of both tests are presented in this paper, demonstrating the feasibility and benefits of LAE and the direct sensing approach for damage detection over large areas of structures.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2013
Subtitle of host publicationA Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages2787-2794
Number of pages8
ISBN (Electronic)9781605951157
StatePublished - 2013
Event9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013 - Stanford, United States
Duration: Sep 10 2013Sep 12 2013

Publication series

NameStructural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
Volume2

Other

Other9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013
Country/TerritoryUnited States
CityStanford
Period9/10/139/12/13

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Information Management

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