Flexibility-based damage identification algorithm embedded in sensor network emvironment

Arata Masuda; Akira Sone; Masashi Yamashita; Yuito Hashimoto

doi:10.1117/12.599505

17 May 2005 Flexibility-based damage identification algorithm embedded in sensor network environment

Arata Masuda, Akira Sone, Masashi Yamashita, Yuito Hashimoto

Proceedings Volume 5765, Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems; (2005) https://doi.org/10.1117/12.599505
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2005, San Diego, California, United States

Abstract

This paper describes a damage identification method for structures mainly subject to bending load, considering the applicability in a decentralized computing environment of wireless sensor networks. A modal flexibility-based damage indices that have simple and intuitive physical interpretation is presented. Since the proposed damage indices are computed using angular mode shapes of the lowest several modes, MEMS gyroscopes are adopted as the sensing device. The damage evaluation algorithm is then modified to a decentralized form, which is to be implemented as the local computation of mode separation at each sensor unit and the global computation of the damage index at the central monitoring station. Experiments using a bolted beam are conducted to show the applicability of the proposed algorithm to the detection of loose bolt failures.

Citation Download Citation

Arata Masuda, Akira Sone, Masashi Yamashita, and Yuito Hashimoto "Flexibility-based damage identification algorithm embedded in sensor network environment", Proc. SPIE 5765, Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, (17 May 2005); https://doi.org/10.1117/12.599505

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available