Vibration–based structural damage identification

By Charles R. Farrar, S. Doebling, D. Nix. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 2001

923 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/9096d45e30df7ec95eca9708c3707a969c588be5

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In Civil and Structural Engineering

Citations in the corpus

An introduction to structural health monitoring (2007, background): “Damage identification is carried out in conjunction with five closely related disciplines that include SHM, condition monitoring (CM; Bentley & Hatch 2003), non-destructive evaluation (NDE; Shull 2002), statistical process control (SPC; Montgomery 1997) and damage prognosis (DP; which is summarized ”
A review of damage detection methods for wind turbine blades (2015, methodology): “Damage detection involves the use of local or global methods to judge whether damage is present in a structure, to locate where the damage is and to further determine the degree of damage (Farrar et al 2001).”
A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications (2020, background): “The most critical component of SHM is damage detection, which is defined as a systematic and automatic process of identifying the existence of a damage, and then localizing and assessing the severity of it (quantification) [23].”
A review of structural health monitoring literature 1996-2001 (2002, background): “Therefore, the damage detection studies reviewed herein are summarized in the context of a statistical pattern recognition paradigm [4].”
Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods (2010, background): “Over the past several years, a wide variety of local non–destructive testing tools have been developed [1–3].”
Surrogate Modeling Approach to Support Real-Time Structural Assessment and Decision Making (2015, background): “[1], structural health monitoring can be defined as “the process of implementing a damage-detection strategy”; on the other hand, structural reliability assessment relates to the evaluation of the probability of failure of the system.”
Singularity detection for structural health monitoring using Holder exponents (2003, background): “0 0 ) ( ) ( t t C t t P t f n (5) A higher value of indicates a better regularity or a smoother function.”
An investigation into the performance of macro-fiber composites for sensing and structural vibration applications (2004, background): “There are dozens of structural health monitoring [ 13 ].”
A review of vibration-based structural health monitoring with special emphasis on composite materials (2006, background): “Within the paradigm defined by Farrar et al. (2001) and Sohn et al. (2003), the field of damage detection which has received the highest attention is feature extraction.”
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights (2021, background): “Damage is typically defined, in simple terms, as any change to the material or geometry, such as the boundary condition that can alter the dynamic properties or the response of the structure,(1) thus adversely affecting the current or future performance of the system.(2) In the past, identifying dam”