Search the articles

SI: Steels and Composites for Engineering Structures Views: 1,443 Downloads: 971 Vol. 16, No. 59 (2022) December 22, 2021 pp. 172-187

Weight optimization of steel lattice transmission towers based on Differential Evolution and machine learning classification technique

Tran-Hieu Nguyen, Anh-Tuan Vu

Transmission towers are tall structures used to support overhead power lines. They play an important role in the electrical grids. There are several types of transmission towers in which lattice towers are the most common type. Designing…

10.3221/IGF-ESIS.59.13Copy the DOI link

Details: Weight optimization of steel lattice transmission towers based on Differential Evolution and machine learning classification technique PDF Visual Abstract

PDF Visual Abstract

Miscellanea Views: 1,284 Downloads: 702 Vol. 11, No. 42 (2017) September 29, 2017 pp. Pages 231-238

Classification of ductile cast iron specimens: a machine learning approach

Alberto De Santis, Daniela Iacoviello, Vittorio Di Cocco, Francesco Iacoviello

In this paper an automatic procedure based on a machine learning approach is proposed to classify ductile cast iron specimens according to the American Society for Testing and Materials guidelines. The mechanical properties of a specimen…

10.3221/IGF-ESIS.42.25Copy the DOI link

Details: Classification of ductile cast iron specimens: a machine learning approach PDF

PDF

Fracture Views: 679 Downloads: 457 Vol. 15, No. 58 (2021) September 25, 2021 pp. 242-253

Supervised Machine Learning Classification Algorithms for Detection of Fracture Location in Dissimilar Friction Stir Welded Joints

Akshansh Mishra, Apoorv Vats

Machine Learning focuses on the study of algorithms that are mathematical or statistical in nature in order to extract the required information pattern from the available data. Supervised Machine Learning algorithms are further sub-divided…

10.3221/IGF-ESIS.58.18Copy the DOI link

Details: Supervised Machine Learning Classification Algorithms for Detection of Fracture Location in Dissimilar Friction Stir Welded Joints PDF Visual Abstract

PDF Visual Abstract

Miscellanea Views: 954 Downloads: 713 Vol. 11, No. 39 (2017) December 15, 2016 pp. Pages 282-290

Numerical study of eddy current by Finite Element Method for cracks detection in structures

S. Harzallah, M. Chabaat, K. Chabane

In this paper, we try to use the finite element method of 2-D axisymmetry to solve problems in eddy current testing problems where the main idea is detecting crack's shape using the NDT-EC. Results are given for a simple eddy current…

10.3221/IGF-ESIS.39.26Copy the DOI link

Details: Numerical study of eddy current by Finite Element Method for cracks detection in structures PDF

PDF

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

PDF Visual Abstract

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

PDF Visual Abstract

SI: Design of Civil Environmental Engineering Views: 772 Downloads: 587 Vol. 12, No. 46 (2018) September 26, 2018 pp. 190-202

Failure evidences of reduced span bridges in case of extreme rainfalls The case of Livorno

Marco Lucio Puppio, Sara Novelli, Mauro Sassu

The heavy rainfalls occurring in Italy in the last few years focused the attention on the vulnerability of the land and the related infrastructures. Critical situations involving losses of human life and deterioration or failure of…

10.3221/IGF-ESIS.46.18Copy the DOI link

Details: Failure evidences of reduced span bridges in case of extreme rainfalls The case of Livorno PDF Visual Abstract

PDF Visual Abstract

Fatigue and Fracture of non metallic materials Views: 141 Downloads: 95 Vol. 20, No. 77 (2026) April 22, 2026 pp. 138-172

Phenomenological models of residual mechanical properties of polymer composites under fatigue loading: review, analysis of descriptive ability and classification

Oleg Staroverov, Artur Mugatarov, Anastasia Sivtseva, Valeriy Wildemann

In this work, a review and mathematical analysis of phenomenological models of residual strength and residual stiffness of polymer composite materials under fatigue loading have been carried out. The methodology of the analysis is…

10.3221/IGF-ESIS.77.10Copy the DOI link

Details: Phenomenological models of residual mechanical properties of polymer composites under fatigue loading: review, analysis of descriptive ability and classification PDF HTML Visual Abstract

+2Other formats

Graphical AbstractPDF Podcast

PDF HTML Visual Abstract Graphical Abstract Podcast

Miscellanea Views: 1,002 Downloads: 632 Vol. 12, No. 45 (2018) June 21, 2018 pp. 147-155

Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks

Salaheddine Harzallah, R. Rebhi, M. Chabaat, A. Rabehi

A new method for computing fracture mechanics parameters using computational Eddy Current Modelling by Multi-layer Perceptron Neural Networks for detecting surface cracks. The method is based upon an inverse problem using an Artificial…

10.3221/IGF-ESIS.45.12Copy the DOI link

Details: Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks PDF Visual Abstract

PDF Visual Abstract

Integrity of materials and structures Views: 292 Downloads: 148 Vol. 20, No. 76 (2026) February 15, 2026 pp. 183-211

Numerical assessment of the seismic vulnerability of the historical earthen remains of the Mansourah enclosure (Tlemcen, Algeria): influence of geometry and identification of critical damage zones

Walid Hanini, Nadir Boumechra

This work primarily aims to carry out a numerical assessment of the seismic vulnerability of the historical Rammed Earth (RE) remains of the enclosure of Mansourah, a small town in the Wilaya (Province) of Tlemcen, in northwestern Algeria.…

10.3221/IGF-ESIS.76.12Copy the DOI link

Details: Numerical assessment of the seismic vulnerability of the historical earthen remains of the Mansourah enclosure (Tlemcen, Algeria): influence of geometry and identification of critical damage zones PDF HTML Visual Abstract

+2Other formats

Podcast Graphical AbstractPDF

PDF HTML Visual Abstract Podcast Graphical Abstract

Failure Analysis and Forensic Engineering Views: 563 Downloads: 289 Vol. 20, No. 76 (2026) January 6, 2026 pp. 49-66

Hybrid feedforward neural network for pressure vessel internal corrosion prediction: integrating chemical models with inspection data for structural integrity assessment

Mina Pascal

This study presents a hybrid framework integrating a physics-based corrosion model with a feedforward neural network (FNN) to predict corrosion rates and estimate the remaining useful life (RUL) of industrial pressure vessels for…

10.3221/IGF-ESIS.76.04Copy the DOI link

Details: Hybrid feedforward neural network for pressure vessel internal corrosion prediction: integrating chemical models with inspection data for structural integrity assessment Graphical Abstract PDF HTML

+2Other formats

Visual Abstract Podcast

Graphical Abstract PDF HTML Visual Abstract Podcast

SI: Steels and Composites for Engineering Structures Views: 874 Downloads: 571 Vol. 15, No. 58 (2021) September 25, 2021 pp. 308-318

Evaluating structural safety of trusses using Machine Learning

Tran-Hieu Nguyen, Anh-Tuan Vu

In this paper, a machine learning-based framework is developed to quickly evaluate the structural safety of trusses. Three numerical examples of a 10-bar truss, a 25-bar truss, and a 47-bar truss are used to illustrate the proposed…

10.3221/IGF-ESIS.58.23Copy the DOI link

Details: Evaluating structural safety of trusses using Machine Learning PDF Visual Abstract

PDF Visual Abstract

Fatigue and Fracture of metallic alloys Views: 475 Downloads: 370 Vol. 19, No. 72 (2025) February 7, 2025 pp. 102-120

Studying the fracture surface of brass CuZn37 and aluminum 1100 and their relationship with formability in Single Point Incremental Forming

Marwa K. Qate'a, Muhsin J. Jweeg, Adnan I. Mohammed

Single Point Incremental Forming was conducted on Aluminum1100 and Brass CuZn37 to form a hyperbolic truncated pyramid with varying wall angles until the fracture occurs. The formability of the specimens in terms of fracture depth and…

10.3221/IGF-ESIS.72.08Copy the DOI link

Details: Studying the fracture surface of brass CuZn37 and aluminum 1100 and their relationship with formability in Single Point Incremental Forming PDF HTML Visual Abstract

PDF HTML Visual Abstract

SI: IGF27 - 27th International Conference on Fracture and Structural Integrity Views: 855 Downloads: 481 Vol. 18, No. 67 (2024) December 17, 2023 pp. 118-136

Impact of earthquake’s epicenter distance to failure of the embankment – A seismic prediction

Abdoullah Namdar, Omer Mughieda, Ts Haji Azahar Bin Mohd Yasin, Falak Azhar

Cracks in clayey soil cause a reduction in the seismic loading capacity which can lead to structural failures. Seismic acceleration is the primary cause of crack propagation and damage to the earth's structure. This study investigated the…

10.3221/IGF-ESIS.67.09Copy the DOI link

Details: Impact of earthquake’s epicenter distance to failure of the embankment – A seismic prediction PDF Visual Abstract

PDF Visual Abstract

SI: Crack Paths Views: 652 Downloads: 406 Vol. 13, No. 48 (2019) March 3, 2019 pp. 442-450

Initial orientation of the fretting fatigue cracks in shrink-fit connection specimens

Ciro Santus

The bending configuration of shrink-fitted connection fretting fatigue tests causes a fluctuation of the contact pressure and in turn a more favourable condition for shear, rather than tensile, crack initiation. According to the…

10.3221/IGF-ESIS.48.42Copy the DOI link

Details: Initial orientation of the fretting fatigue cracks in shrink-fit connection specimens PDF Visual Abstract

PDF Visual Abstract