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SI: Steels and Composites for Engineering Structures Views: 2,112 Downloads: 1,142 Vol. 16, No. 59 (2022) December 22, 2021 pp. 461-470

Damage Detection in Structural Health Monitoring using Hybrid Convolution Neural Network and Recurrent Neural Network

Thanh Bui-Tien, Dung Bui-Ngoc, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, Hoa Tran-Ngoc, Hung Tran-Viet

The process of damage identification in Structural Health Monitoring (SHM) gives us a lot of practical information about the current status of the inspected structure. The target of the process is to detect damage status by processing data…

10.3221/IGF-ESIS.59.30Copy the DOI link

Details: Damage Detection in Structural Health Monitoring using Hybrid Convolution Neural Network and Recurrent Neural Network PDF Visual Abstract

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SI: Steels and Composites for Engineering Structures Views: 734 Downloads: 500 Vol. 15, No. 58 (2021) September 25, 2021 pp. 442-452

Sensitivity analysis of the GTN damage parameters at different temperature for dynamic fracture propagation in X70 pipeline steel using neural network

Abdelmoumin Ouladbrahim, Idir Belaidi, Samir Khatir, Erica Magagnini, Roberto Capozucca, Magd Abdel Wahab

In this paper, the initial and maximum load was studied using the Finite Element Modeling (FEM) analysis during impact testing (CVN) of pipeline X70 steel. The Gurson-Tvergaard-Needleman (GTN) constitutive model has been used to simulate…

10.3221/IGF-ESIS.58.32Copy the DOI link

Details: Sensitivity analysis of the GTN damage parameters at different temperature for dynamic fracture propagation in X70 pipeline steel using neural network PDF Visual Abstract

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Fracture Views: 1,523 Downloads: 1,015 Vol. 17, No. 63 (2023) December 21, 2022 pp. 234-245

Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process

Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti

A variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to…

10.3221/IGF-ESIS.63.18Copy the DOI link

Details: Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process PDF Visual Abstract

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Structural Integrity and Safety: Experimental and Numerical Perspectives Views: 1,881 Downloads: 1,043 Vol. 17, No. 63 (2023) December 21, 2022 pp. 37-45

Artificial neural network based delamination prediction in composite plates using vibration signals

T. G. Sreekanth, M. Senthilkumar, S. Manikanta Reddy

Dynamic loading on composite components may induce damages such as cracks, delaminations, etc. and development of an early damage detection technique for delaminations is one of the most important aspects in ensuring the integrity and…

10.3221/IGF-ESIS.63.04Copy the DOI link

Details: Artificial neural network based delamination prediction in composite plates using vibration signals PDF Visual Abstract

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Analytical, Numerical and Physical Models Views: 959 Downloads: 740 Vol. 17, No. 66 (2023) September 27, 2023 pp. 191-206

Prediction of Mechanical Behavior of Epoxy Polymer Using Artificial Neural Networks (ANN) And response Surface Methodology (RSM)

Khalissa Saada, Salah Amroune, Moussa Zaoui

The aim of this study is to analyze the effect of different geometries and sections on the mechanical properties of epoxy specimens. Five tensile tests were carried out on three types of series. The experimental results obtained were…

10.3221/IGF-ESIS.66.12Copy the DOI link

Details: Prediction of Mechanical Behavior of Epoxy Polymer Using Artificial Neural Networks (ANN) And response Surface Methodology (RSM) PDF Visual Abstract

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Analytical, computational and physical models Views: 732 Downloads: 575 Vol. 18, No. 70 (2024) August 2, 2024 pp. 71-90

Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS

Paresh Kulkarni, Satish Chinchanikar

Soft computing techniques, with their self-learning capabilities, fuzzy principles, and evolutionary computational philosophy, are being increasingly utilized in modeling complex machining processes. This study develops artificial neural…

10.3221/IGF-ESIS.70.04Copy the DOI link

Details: Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS PDF Visual Abstract

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SI: Fracture Mechanics versus Environment Views: 884 Downloads: 456 Vol. 13, No. 49 (2019) June 9, 2019 pp. 291-301

Detection and diagnosis of fault bearing using wavelet packet transform and neural network

Said DJABALLAH, Kamel Meftah, Khaled Khelil, Mohsein Tedjini, Lakhdar Sedira

Bearings, considered crucial components in rotating machinery, are widely used in the industry. Bearing status monitoring has become an essential step in the deployment of preventive maintenance policy. This work is part of the diagnosis…

10.3221/IGF-ESIS.49.29Copy the DOI link

Details: Detection and diagnosis of fault bearing using wavelet packet transform and neural network PDF Visual Abstract

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Miscellanea Views: 969 Downloads: 877 Vol. 17, No. 65 (2023) June 22, 2023 pp. 300-319

Damage assessment in beam-like structures by correlation of spectrum using machine learning

Toan Pham Bao, Vien Le-Ngoc, Luan Vuong Cong, Nhi Ngo Kieu

Damage assessment in the actual operating process of the structure is a modern and exciting problem of construction engineering due to several practical knowledge about the current condition of the inspected structures. However, the…

10.3221/IGF-ESIS.65.20Copy the DOI link

Details: Damage assessment in beam-like structures by correlation of spectrum using machine learning PDF Visual Abstract

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Structural Integrity and Durability of Structures Views: 1,836 Downloads: 722 Vol. 17, No. 65 (2023) June 22, 2023 pp. 112-134

Crack simulation for the cover of the landfill – A seismic design

Abdoullah Namdar, Mehran Karimpour-Fard, Omer Mughieda, Filippo Berto, Nurmunira Muhammad

The stability of the landfill is an environmental issue. The collapse of the landfill causes environmental pollution and influences human life. In the present study, the crack on the cover of the landfill was simulated. Rankine’s theory…

10.3221/IGF-ESIS.65.09Copy the DOI link

Details: Crack simulation for the cover of the landfill – A seismic design PDF Visual Abstract

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Failure Analysis and Forensic Engineering Views: 500 Downloads: 387 Vol. 18, No. 70 (2024) September 5, 2024 pp. 242-256

Tool wear evaluation of self-propelled rotary tool and conventional round tool during turning Inconel 718

Satish Chinchanikar, Nitin Motgi

Enhancing the machinability of difficult-to-cut materials is imperative, and a non-conventional rotary tool has shown high potential when machining these materials. This work comparatively evaluates the tool wear of conventional round…

10.3221/IGF-ESIS.70.14Copy the DOI link

Details: Tool wear evaluation of self-propelled rotary tool and conventional round tool during turning Inconel 718 PDF Visual Abstract

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Structural Integrity and Safety: Experimental and Numerical Perspectives Views: 852 Downloads: 715 Vol. 16, No. 61 (2022) June 19, 2022 pp. 487-495

Natural Frequency based delamination estimation in GFRP beams using RSM and ANN

T. G. Sreekanth

The importance of delamination detection can be understood from aircraft components like Vertical Stabilizer, which is subjected to heavy vibration during the flight movement and it may lead to delamination and finally even flight crash…

10.3221/IGF-ESIS.61.32Copy the DOI link

Details: Natural Frequency based delamination estimation in GFRP beams using RSM and ANN PDF Visual Abstract

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Reliability and Life Extension of Components Views: 1,168 Downloads: 642 Vol. 15, No. 57 (2021) June 22, 2021 pp. 138-159

Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions

Abbasali Sadeghi, Hamid Kazemi, Maysam Samadi

The ground external columns of buildings are vulnerable to the extreme actions such as a vehicle collision. This event is a common scenario of buildings' damages. In this study, a nonlinear model of 2-story steel moment-resisting frame (…

10.3221/IGF-ESIS.57.12Copy the DOI link

Details: Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions PDF Visual Abstract

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Fatigue and Fracture of metallic alloys Views: 955 Downloads: 751 Vol. 18, No. 68 (2024) March 10, 2024 pp. 340-356

Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process

Mohsen Sarparast, Majid Shafaie, Mohammad Davoodi, Ahmad Memaran Babakan, Hongyan Zhang

This study focuses on ductile fracture behavior prediction for Ti6Al4V alloys fabricated via Selective Laser Melting (SLM). A modified Gurson-Tvergaard-Needleman (GTN) model characterizes void growth and shear mechanisms under uniaxial…

10.3221/IGF-ESIS.68.23Copy the DOI link

Details: Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process PDF Visual Abstract

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Integrity of materials and structures Views: 453 Downloads: 609 Vol. 18, No. 70 (2024) July 16, 2024 pp. 55-70

Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load

Toan Pham Bao, Vien Le-Ngoc

This paper presents a novel method of assessing structural damage in beams exposed to moving loads via acceleration signals through experimental studies. In this study, beams are supported on both ends, and their dynamic response to moving…

10.3221/IGF-ESIS.70.03Copy the DOI link

Details: Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load PDF Visual Abstract

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