Improving Probability-Based Diagnostic Imaging Algorithm by Modeling Weight Distribution Coefficient for Instantaneous Baseline Damage Identification-Reference-Cited by-同舟云学术

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Improving Probability-Based Diagnostic Imaging Algorithm by Modeling Weight Distribution Coefficient for Instantaneous Baseline Damage Identification

Published:2023-03 Issue:2 Volume:36 Page:
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Nasiri Mostafa¹^ORCID,Abedian Ali²,Amraei Jafar³^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Aerospace Engineering, Sharif Univ. of Technology, Tehran 14588-89694, Iran. ORCID: .

2. Associate Professor, Dept. of Aerospace Engineering, Sharif Univ. of Technology, Tehran 14588-89694, Iran (corresponding author).

3. Ph.D. Student, Faculty of Mechanical Engineering, Silesian Univ. of Technology, Konarskiego 18A, Gliwice 44-100, Poland. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JAEEEZ.ASENG-4675

Reference51 articles.

1. A refined Lamb wave time-reversal method with enhanced sensitivity for damage detection in isotropic plates

2. A semi-baseline damage identification approach for complex structures using energy ratio correction technique

3. Reference-Free Damage Identification in Plate-Like Structures Using Lamb-Wave Propagation with Embedded Piezoelectric Sensors

4. Impact of Sensor Geometric Dimensions and Installation Accuracy on the Results of Instantaneous SHM Based on Wave Propagation Using Wafer Active Sensors

5. A nonlinear ultrasonic SHM method for impact damage localisation in composite panels using a sparse array of piezoelectric PZT transducers

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