Free and Forced Vibration Models

Haroon, Muhammad

doi:10.1002/9780470061626.shm001

Cited by 3 publications

(1 citation statement)

References 68 publications

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“…Although the EMA is used for the identification of modal parameters of industrial structures, where the excitation is provided by large shakers or impact hammers [19,20], this technique is mainly used in laboratory settings. On the other hand, the main shortcoming of OMA is the fact that the random nature of excitation may not properly excite all frequencies, whose implication is a potentially missed detection of damage [21]. A well-known problem with OMA-based modal parameter estimation is the fact that the estimates usually are noisy (spurious modes).…”

Section: Oma-based Shm Frameworkmentioning

confidence: 99%

Statistical Structural Integrity Control of Composite Structures Based on an Automatic Operational Modal Analysis — a Review

2022

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The operational modal analysis (OMA), as a passive technique, has found a practical application in the structural health monitoring (SHM) of structures in service subjected to dynamic loadings. The state of structural integrity is judged by exploring the changes in values of the modal parameters estimated by the OMA. However, the entire framework of on-line damage identification and continuous monitoring is rather complex, involving several key building blocks. This work reviews the main steps in achieving the functionality of automatic damage identification in composite structures with a particular focus on wind turbine blades. The sensor instrumentation, extraction of damage-sensitive features from measured response signals, removal of environmental influence, automatic classification of physical and spurious modes of the system, and application of a statistical control to obtain the information on the possible structural damage are discussed. The merits and limitations of the OMA-based SHM approach for composite wind turbine blades are indicated.

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Section: Oma-based Shm Frameworkmentioning

confidence: 99%

Statistical Structural Integrity Control of Composite Structures Based on an Automatic Operational Modal Analysis — a Review

2022

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A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

Gharehbaghi

Farsangi

Noori

et al. 2021

Arch Computat Methods Eng

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The benefits of tracking, identifying, measuring features of interest from structure responses have endless applications for saving cost, time and improving safety. To date, structural health monitoring (SHM) has been extensively applied in several fields, such as aerospace, automotive, and mechanical engineering. However, the focus of this paper is to provide a comprehensive upto-date review of civil engineering structures such as buildings, bridges, and other infrastructures. For this reason, this article commences with a concise introduction to the fundamental definitions of SHM. The next section presents the general concepts and factors that determine the best strategy to be employed for SHM. Afterward, a thorough review of the most prevalent anomaly detection approaches, from classic techniques to advanced methods, is presented. Subsequently, some popular benchmarks, including laboratory specimens and real structures for validating the proposed methodologies, are demonstrated and discussed. Finally, the advantages and disadvantages of each method are summarized, which can be helpful in future studies.

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Strain Field Pattern Recognition for Structural Health Monitoring Applications

Sierra-Pérez

Alvarez-Montoya

2020

Pattern Recognition Applications in Engineering

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Strain field pattern recognition, also known as strain mapping, is a structural health monitoring approach based on strain measurements gathered through a network of sensors (i.e., strain gauges and fiber optic sensors such as FGBs or distributed sensing), data-driven modeling for feature extraction (i.e., PCA, nonlinear PCA, ANNs, etc.), and damage indices and thresholds for decision making (i.e., Q index, T2 scores, and so on). The aim is to study the correlations among strain readouts by means of machine learning techniques rooted in the artificial intelligence field in order to infer some change in the global behavior associated with a damage occurrence. Several case studies of real-world engineering structures both made of metallic and composite materials are presented including a wind turbine blade, a lattice spacecraft structure, a UAV wing section, a UAV aircraft under real flight operation, a concrete structure, and a soil profile prototype.

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Free and Forced Vibration Models

Cited by 3 publications

References 68 publications

Statistical Structural Integrity Control of Composite Structures Based on an Automatic Operational Modal Analysis — a Review

Statistical Structural Integrity Control of Composite Structures Based on an Automatic Operational Modal Analysis — a Review

A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

Strain Field Pattern Recognition for Structural Health Monitoring Applications

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