Journal ArticleDOI
Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures — a review
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TLDR
In this paper, a model-dependent method with piezoelectric sensor and actuator incorporated into composite structures is proposed for on-line damage detection and health-monitoring on composite structures.About:
This article is published in Journal of Sound and Vibration.The article was published on 2000-02-17. It has received 753 citations till now. The article focuses on the topics: Modal analysis & Delamination.read more
Citations
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Journal ArticleDOI
A review of recent research on mechanics of multifunctional composite materials and structures
TL;DR: In this paper, the authors identify the topics that are most relevant to multifunctional composite materials and structures and review representative journal publications that are related to those topics and make suggestions regarding future research needs.
Journal ArticleDOI
Materials that couple sensing, actuation, computation, and communication
M. A. McEvoy,Nikolaus Correll +1 more
TL;DR: Robotic materials can enable smart composites that autonomously change their shape, stiffness, or physical appearance in a fully programmable way, extending the functionality of classical “smart materials.”
Journal ArticleDOI
Damage identification using inverse methods
TL;DR: A number of problems that exist with the use of inverse methods in damage detection and location, including modelling error, environmental effects, damage localization and regularization are discussed.
Journal ArticleDOI
Damage detection in composite materials using frequency response methods
TL;DR: In this paper, the authors present an experimental and analytical survey of candidate methods for the in situ detection of damage in composite materials, including modal analysis techniques applied to graphite/epoxy specimens containing representative damage modes.
Journal ArticleDOI
Damage detection of truss bridge joints using Artificial Neural Networks
TL;DR: A method for estimating the damage intensities of joints for truss bridge structures using a back-propagation based neural network and the natural frequencies and mode shapes were used as input parameters for damage identification.
References
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Book ChapterDOI
Introduction To Composite Materials
TL;DR: The combination of materials to form a new material system with enhanced material properties is a well documented historical fact as discussed by the authors, which is why many artisans from the Mediterranean and Far East used a form of composite technology in molding art works which were fabricated by layering cut paper in various sizes for producing desired shapes and contours.
ReportDOI
Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review
TL;DR: 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 is presented in this article, where the authors categorize the methods according to required measured data and analysis technique.
Book
Introduction to composite materials
Stephen W. Tsai,H. Thomas Hahn +1 more
TL;DR: In this paper, the authors present a reference record created on 2005-11-18, modified on 2016-08-08 and used for Laminage Reference Record created on 2006-11/18.
Journal ArticleDOI
Damage detection from changes in curvature mode shapes
TL;DR: In this article, a new parameter called curvature mode shape is investigated as a possible candidate for identifying and locating damage in a structure, and it is shown that the absolute changes in the curvature shape are localized in the region of damage and hence can be used to detect damage.
Journal ArticleDOI
Detection of structural damage through changes in frequency: a review
TL;DR: The use of natural frequency as a diagnostic parameter in structural assessment procedures using vibration monitoring is discussed in this paper, based on the fact that natural frequencies are sensitive indicators of structural integrity.