SciTech Connect

Title: Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review

Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review This report contains a review of the technical literature concerning the detection, location, and characterization of structural damage via techniques that examine changes in measured structural vibration response. The report first categorizes the methods according to required measured data and analysis technique. The analysis categories include changes in modal frequencies, changes in measured mode shapes (and their derivatives), and changes in measured flexibility coefficients. Methods that use property (stiffness, mass, damping) matrix updating, detection of nonlinear response, and damage detection via neural networks are also summarized. The applications of the various methods to different types of engineering problems are categorized by type of structure and are summarized. The types of structures include beams, trusses, plates, shells, bridges, offshore platforms, other large civil structures, aerospace structures, and composite structures. The report describes the development of the damage-identification methods and applications and summarizes the current state-of-the-art of the technology. The critical issues for future research in the area of damage identification are also discussed.
Authors: ; ; ;
Publication Date:
OSTI Identifier:249299
Report Number(s):LA--13070-MS
ON: DE96012168; TRN: 96:003834
DOE Contract Number:W-7405-ENG-36
Resource Type:Technical Report
Data Type:
Resource Relation:Other Information: PBD: May 1996
Research Org:Los Alamos National Lab., NM (United States)
Sponsoring Org:USDOE, Washington, DC (United States)
Country of Publication:United States
Language:English
Subject: 42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES; 36 MATERIALS SCIENCE; MECHANICAL STRUCTURES; MECHANICAL VIBRATIONS; STABILITY; DAMAGE; FLEXIBILITY; MONITORING; REVIEWS; NEURAL NETWORKS