A compressive MUSIC spectral approach for identification of closely-spaced structural natural frequencies and post-earthquake damage detection
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TLDR
Results suggest that the adopted approach for identifying resonant frequencies of white-noise excited structures using acceleration measurements acquired at rates significantly below the Nyquist rate is robust and noise-immune while it can reduce data transmission requirements in acceleration wireless sensors for natural frequency identification and damage detection in engineering structures.About:
This article is published in Probabilistic Engineering Mechanics.The article was published on 2020-02-07 and is currently open access. It has received 15 citations till now. The article focuses on the topics: Sampling (signal processing) & Frequency domain.read more
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Journal ArticleDOI
Innovations in earthquake risk reduction for resilience: recent advances and challenges
Fabio Freddi,Carmine Galasso,Gemma Cremen,Andrea Dall'Asta,Luigi Di Sarno,Agathoklis Giaralis,Fernando Gutiérrez-Urzúa,Christian Málaga-Chuquitaype,Stergios A. Mitoulis,Crescenzo Petrone,Anastasios Sextos,Luis Sousa,Karim Tarbali,Enrico Tubaldi,John Wardman,Gordon Woo +15 more
TL;DR: The Sendai Framework for Disaster Risk Reduction 2015-2030 (SFDRR) highlights the importance of scientific research, supporting the availability and application of science and technology to decision-making in disaster risk reduction.
Journal ArticleDOI
Vibration feature extraction using signal processing techniques for structural health monitoring: A review
TL;DR: A comprehensive review of the recent progress that used signal processing techniques for vibration-based structural health monitoring (SHM) approaches is presented in this article , where the feature extraction process through the signal processing technique is the basic skeleton of this review.
Journal ArticleDOI
Location of Multiple Damage Types in a Truss-Type Structure Using Multiple Signal Classification Method and Vibration Signals
Carlos A. Perez-Ramirez,Jose M. Machorro-Lopez,Martin Valtierra-Rodriguez,Juan P. Amezquita-Sanchez,Arturo Garcia-Perez,David Camarena-Martinez,Rene de Jesus Romero-Troncoso +6 more
TL;DR: The presented results show that the proposed MUSIC method can make an accurate and reliable estimation of the condition and location of three specific damage conditions, i.e., loosened bolts, internal corrosion, and external corrosion.
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High-dimensional data analytics in structural health monitoring and non-destructive evaluation: a review paper
TL;DR: In this paper , a review of high-dimensional data analytic (HDDA) methods for structural health monitoring (SHM) and non-destructive evaluation (NDE) applications is presented.
References
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Proceedings ArticleDOI
Application of time-series-based damage detection algorithms to structures under ambient excitations
TL;DR: In this study both modal-based and signal-based system identification and feature extraction techniques are used to study the nonlinear inelastic response of a test structure using both input and output response data or output only measurement and identify the damage location.
Modal strain-based post-earthquake damage characterization of r/c frame buildings
B. Decarli,Agathoklis Giaralis +1 more
TL;DR: In this article, the authors evaluated the potential of the two most widely used modalstrain based damage indices for damage detection in structural components under flexure for post-earthquake damage characterization of reinforced concrete multi-storey planar frame buildings.
Journal ArticleDOI
Effect of frequency domain attributes of wavelet analysis filter banks for structural damage localisation using the relative wavelet entropy index
TL;DR: In this article, four different energy-preserving wavelet analysis filter banks are employed to compute the relative wavelet entropy (RWE) for two benchmark structures via algorithms that may efficiently run on-board wireless sensors for decentralised structural health monitoring.