Study on structural damage detection of plate structures based on the time-reversal technique

Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)) ◽

10.2208/jscejam.68.i_69 ◽

2012 ◽

Vol 68 (2) ◽

pp. I_69-I_80

Author(s):

Aiko FURUKAWA ◽

Keita KOJIMA ◽

Junji KIYONO

Keyword(s):

Damage Detection ◽

Time Reversal ◽

Structural Damage ◽

Structural Damage Detection ◽

Plate Structures

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Structural Damage Detection by Using the Time-Reversal Process of Lamb Waves and the Imaging Method

Journal of the Korean society for railway ◽

10.7782/jksr.2011.14.4.320 ◽

2011 ◽

Vol 14 (4) ◽

pp. 320-326

Author(s):

Yong-Ju Jun ◽

U-Sik Lee

Keyword(s):

Damage Detection ◽

Time Reversal ◽

Structural Damage ◽

Imaging Method ◽

Structural Damage Detection ◽

Reversal Process

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A Two-Stage Approach to Solve Structural Damage Detection Problem in Plate Structures

10.1007/978-3-030-84958-0_7 ◽

2021 ◽

pp. 63-72

Author(s):

Kamel Belhadj ◽

Najeh Ben Guedria ◽

Ali Helali ◽

Chokri Bouraoui

Keyword(s):

Damage Detection ◽

Structural Damage ◽

Structural Damage Detection ◽

Detection Problem ◽

Two Stage ◽

Plate Structures

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Dynamic learning rate neural network training and composite structural damage detection

AIAA Journal ◽

10.2514/3.13701 ◽

1997 ◽

Vol 35 ◽

pp. 1522-1527

Author(s):

H. Luo ◽

S. Hanagud

Keyword(s):

Neural Network ◽

Damage Detection ◽

Structural Damage ◽

Learning Rate ◽

Neural Network Training ◽

Structural Damage Detection ◽

Dynamic Learning ◽

Network Training

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A development on multimodal optimization technique and its application in structural damage detection

Applied Soft Computing ◽

10.1016/j.asoc.2020.106264 ◽

2020 ◽

Vol 91 ◽

pp. 106264

Author(s):

Diancheng Chen ◽

Yiyang Li

Keyword(s):

Damage Detection ◽

Structural Damage ◽

Optimization Technique ◽

Multimodal Optimization ◽

Structural Damage Detection

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A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks

Computers & Structures ◽

10.1016/j.compstruc.2021.106568 ◽

2021 ◽

Vol 252 ◽

pp. 106568

Author(s):

Long Viet Ho ◽

Duong Huong Nguyen ◽

Mohsen Mousavi ◽

Guido De Roeck ◽

Thanh Bui-Tien ◽

...

Keyword(s):

Neural Networks ◽

Damage Detection ◽

Computational Intelligence ◽

Structural Damage ◽

Feedforward Neural Networks ◽

Structural Damage Detection ◽

Marine Predator ◽

Intelligence Approach

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Structural damage detection using constrained eigenstructure assignment

Journal of Guidance Control and Dynamics ◽

10.2514/3.21403 ◽

1995 ◽

Vol 18 (3) ◽

pp. 411-418 ◽

Author(s):

Tae W. Lim

Keyword(s):

Damage Detection ◽

Structural Damage ◽

Eigenstructure Assignment ◽

Structural Damage Detection

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A structural damage detection algorithm based on discrete wavelet transform and ensemble pattern recognition models

Journal of Civil Structural Health Monitoring ◽

10.1007/s13349-021-00546-0 ◽

2022 ◽

Author(s):

Milad Fallahian ◽

Ehsan Ahmadi ◽

Faramarz Khoshnoudian

Keyword(s):

Pattern Recognition ◽

Wavelet Transform ◽

Damage Detection ◽

Discrete Wavelet Transform ◽

Structural Damage ◽

Detection Algorithm ◽

Discrete Wavelet ◽

Structural Damage Detection

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Self-Referencing Fiber Bragg Grating Sensor for Structural Damage Detection

10.1364/ofs.2020.w2b.4 ◽

2021 ◽

Author(s):

Junghyun Wee ◽

Kevin Alexander ◽

Kara Peters

Keyword(s):

Damage Detection ◽

Fiber Bragg Grating ◽

Structural Damage ◽

Fiber Bragg Grating Sensor ◽

Bragg Grating ◽

Structural Damage Detection ◽

Bragg Grating Sensor

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An intelligent structural damage detection approach based on self-powered wireless sensor data

Automation in Construction ◽

10.1016/j.autcon.2015.10.001 ◽

2016 ◽

Vol 62 ◽

pp. 24-44 ◽

Author(s):

Amir H. Alavi ◽

Hassene Hasni ◽

Nizar Lajnef ◽

Karim Chatti ◽

Fred Faridazar

Keyword(s):

Damage Detection ◽

Structural Damage ◽

Sensor Data ◽

Wireless Sensor ◽

Structural Damage Detection ◽

Detection Approach ◽

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Structural Damage Detection Based on Proper Orthogonal Decomposition: Experimental Verification

AIAA Journal ◽

10.2514/1.30191 ◽

2008 ◽

Vol 46 (7) ◽

pp. 1624-1630 ◽

Author(s):

Ugo Galvanetto ◽

Cecilia Surace ◽

Alessandra Tassotti

Keyword(s):

Damage Detection ◽

Proper Orthogonal Decomposition ◽

Experimental Verification ◽

Structural Damage ◽

Orthogonal Decomposition ◽

Structural Damage Detection ◽

Proper Orthogonal

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