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SI: New Trends in Structural Health Monitoring Views: 828 Downloads: 527 Vol. 18, No. 70 (2024) July 9, 2024 pp. 24-54

Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition

Shahrooz Khalkhali Shandiz, Hamed Khezrzadeh, Saeed Eftekhar Azam

In this research, the variational mode decomposition (VMD) method is used for the drive-by health monitoring of bridges. Firstly, the problem of a half-trailer tractor moving over a bridge is formulated. Next, a Finite Element (FE) code is…

10.3221/IGF-ESIS.70.02

Details: Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition PDF Visual Abstract

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Analytical, Numerical and Physical Models Views: 1,372 Downloads: 537 Vol. 13, No. 50 (2019) September 20, 2019 pp. 667-683

Numerical simulation of subsurface defect identification by pulsed thermography and improvement of this technique for noisy data

Oleg Plekhov, Anastasiya Kostina, Sergey Aizikovich

Pulsed thermography is an active non-destructive technique which uses optical excitation source to stimulate heating of the object under investigation. This work is devoted to the simulation of the pulsed thermography method in a steel…

10.3221/IGF-ESIS.50.57

Details: Numerical simulation of subsurface defect identification by pulsed thermography and improvement of this technique for noisy data PDF Visual Abstract

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Structural Integrity and Durability of Structures Views: 915 Downloads: 667 Vol. 15, No. 58 (2021) September 25, 2021 pp. 33-47

Wavelet-based multiresolution analysis coupled with deep learning to efficiently monitor cracks in concrete

Ahcene Arbaoui, Abdeldjalil Ouahabi, Sebastien Jacques, Madina Hamiane

This paper proposes an efficient methodology to monitor the formation of cracks in concrete after non-destructive ultrasonic testing of a structure. The objective is to be able to automatically detect the initiation of cracks early enough…

10.3221/IGF-ESIS.58.03

Details: Wavelet-based multiresolution analysis coupled with deep learning to efficiently monitor cracks in concrete PDF Visual Abstract

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SI: New Trends in Structural Health Monitoring Views: 445 Downloads: 387 Vol. 18, No. 70 (2024) August 19, 2024 pp. 177-191

Enhancing Generalizability of a Machine Learning Model for Infrared Thermographic Defect Detection by Using 3D Numerical Modeling

Vladimir Vavilov, Arsenii Chulkov, Alexey Moskovchenko

The paper describes the implementation of 3D numerical simulation in machine learning models used in infrared thermographic nondestructive testing. The enhancement of generalizability of such models emerges as a decisive factor for…

10.3221/IGF-ESIS.70.10

Details: Enhancing Generalizability of a Machine Learning Model for Infrared Thermographic Defect Detection by Using 3D Numerical Modeling PDF Visual Abstract

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Integrity of materials and structures Views: 565 Downloads: 362 Vol. 19, No. 72 (2025) February 8, 2025 pp. 121-136

A digital twin framework with MobileNetV2 for damage detection in slab structures

Huong Duong Nguyen, Huan Nguyen, Xiaohong Gao

In this study, a digital twin framework is proposed for damage detection in a civil structure, which consists of a finite element model, neural networks, model updating methods, and signal processing. To verify the proposed framework, we…

10.3221/IGF-ESIS.72.09

Details: A digital twin framework with MobileNetV2 for damage detection in slab structures PDF HTML Visual Abstract

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Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition

Numerical simulation of subsurface defect identification by pulsed thermography and improvement of this technique for noisy data

Wavelet-based multiresolution analysis coupled with deep learning to efficiently monitor cracks in concrete

Enhancing Generalizability of a Machine Learning Model for Infrared Thermographic Defect Detection by Using 3D Numerical Modeling

A digital twin framework with MobileNetV2 for damage detection in slab structures