Damage identification in beam-type structures: frequency-based method vs mode-shape-based method
TL;DR: In this paper, a frequency-based damage detection (FBDD) method was proposed to locate damage from changes in natural frequencies and a damage-sizing algorithm to estimate crack-size from natural frequency perturbation.
About: This article is published in Engineering Structures.The article was published on 2003-01-01. It has received 605 citations till now.
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TL;DR: A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented in this paper, and the damage identification algorithms in terms of signal processing are discussed.
Abstract: A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented, and the damage identification algorithms in terms of signal processing...
1,613 citations
TL;DR: In this article, the state of the art in vibration-based condition monitoring with particular emphasis on structural engineering applications is reviewed, focusing on the use of in situ non-destructive sensing and analysis of system characteristics for detecting changes, which may indicate damage or degradation.
Abstract: Vibration based condition monitoring refers to the use of in situ non-destructive sensing and analysis of system characteristics –in the time, frequency or modal domains –for the purpose of detecting changes, which may indicate damage or degradation. In the field of civil engineering, monitoring systems have the potential to facilitate the more economical management and maintenance of modern infrastructure. This paper reviews the state of the art in vibration based condition monitoring with particular emphasis on structural engineering applications.
1,394 citations
Cites methods from "Damage identification in beam-type ..."
...[59] applied both a frequency based and a modal strain energy based method to identify damage (assumed to be single) location and size in a simulated beam....
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TL;DR: In this article, a general summary and review of state-of-the-art and development of vibration-based structural damage detection methods is presented, and the principle of intelligent damage diagnosis and its application prospects in structural damage detecting are introduced.
527 citations
TL;DR: A detailed systematic review on these sustainable and renewable green materials is presented in this article, where the overall characteristics of plant fibres used in bio-composites, including source, type, structure, composition, as well as properties, are reviewed.
Abstract: The abundant availability and accessibility of plant fibres are the major reasons for an emerging new interest in sustainable technology. While focusing on the composite materials, the main points to be considered are environment friendliness and light weight, with high specific properties. This century has witnessed remarkable achievements in green technology in the field of materials science through the development of high-performance materials made from natural resources is increasing worldwide. Plant fibres are a kind of renewable resources, which have been renewed by nature and human ingenuity for thousands of years. The greatest challenge in working with plant fibre reinforced composites (PFRCs) is their large variation in properties and characteristics. A PFRCs properties are influenced by a number of variables, including the fibre type, environmental conditions, processing methods, and modification of the fibre. A detailed systematic review on these sustainable and renewable green materials is presented in this paper. The overall characteristics of plant fibres used in bio-composites, including source, type, structure, composition, as well as properties, will be reviewed. Finally, the review will conclude with recent developments and future trends of PFRCs as well as key issues that need to be addressed and resolved.
405 citations
TL;DR: A comprehensive survey of SHM using WSNs is presented outlining the algorithms used in damage detection and localization, outlining network design challenges, and future research directions.
Abstract: Structural health monitoring (SHM) using wireless sensor networks (WSNs) has gained research interest due to its ability to reduce the costs associated with the installation and maintenance of SHM systems. SHM systems have been used to monitor critical infrastructure such as bridges, high-rise buildings, and stadiums and has the potential to improve structure lifespan and improve public safety. The high data collection rate of WSNs for SHM pose unique network design challenges. This paper presents a comprehensive survey of SHM using WSNs outlining the algorithms used in damage detection and localization, outlining network design challenges, and future research directions. Solutions to network design problems such as scalability, time synchronization, sensor placement, and data processing are compared and discussed. This survey also provides an overview of testbeds and real-world deployments of WSNs for SH.
319 citations
Cites background from "Damage identification in beam-type ..."
...On the other hand, the drawbacks of frequency based damage localization include that variations such as in mass structure or measurement temperature can lead to uncertainty in the estimated frequency [50], [55]....
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...In [50] both frequency-based damage localization and mode-shape based...
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...localization techniques are frequency-based [50], mode shape– based [50], flexibility matrix based [51], [52], stiffness matrix based [53], and support vector machine based [54]....
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...In addition, exploiting mode shapes for damage classification may be ineffective since damage is local and may not affect the shapes of lower modes [50], [56]....
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References
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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.
1,924 citations
TL;DR: In this article, a method of non-destructively assessing the integrity of structures using measurements of the structural natural frequencies is described, where measurements made at a single point in the structure can be used to detect, locate and quantify damage.
Abstract: A method of non-destructively assessing the integrity of structures using measurements of the structural natural frequencies is described. It is shown how measurements made at a single point in the structure can be used to detect, locate and quantify damage. The scheme presented uses finite-element analysis, since this method may be used on any structure. The principle may, however, be used in conjunction with other mathematical techniques. Only one full analysis is required for each type of structure.Results are presented from tests on an aluminium plate and a cross-ply carbon-fibre-reinforced plastic plate. Excellent agreement is shown between the predicted and actual damage sites and a useful indication of the magnitude of the defect is obtained.
1,379 citations
TL;DR: In this article, the effect of presence of damage in a structure on its flexibility is studied, and the effectiveness of using changes in the flexibility matrix in detecting and locating damages is demonstrated.
979 citations
TL;DR: In this article, the authors explored the use of the self-organization and learning capabilities of neural networks in structural damage assessment, and trained a neural network to recognize the behavior of the undamaged structure as well as the behaviour of the structure with various possible damage states when subjected to the measurements of the structural response, it should be able to detect any existing damage.
515 citations
TL;DR: In this article, a methodology to localize and estimate the severity of damage in structures for which only post-damage modal parameters are available for a few vibrational modes is presented.
Abstract: A methodology to localize and estimate the severity of damage in structures for which only postdamage modal parameters are available for a few vibrational modes is presented. First, a theory of damage localization and severity estimation that utilizes only changes in mode shapes of the structures is outlined. Next, a system identification method that combines the experimental modal data and the modal parameters of a finite element model of the structure under investigation is developed to yield estimates of the baseline (i.e., predamage) modal parameters for the structure. Finally, the feasibility and practicality of the complete damage detection algorithm are demonstrated by localizing and sizing damage in a continuous beam for which only postdamage modal parameters for a single vibrational mode is available.
290 citations