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Advanced Manufacturing and Processing Views: 1,426 Downloads: 517 Vol. 16, No. 62 (2022) September 22, 2022 pp. 448-459

Optimization of the Mechanical Property of Friction Stir Welded Heat Treatable Aluminum Alloy by using Bio-Inspired Artificial Intelligence Algorithms

Akshansh Mishra, Anish Dasgupta

The concepts and inspiration of biological evolution in nature are used to create new and effective competing tactics in the burgeoning field of bio-inspired computing optimization algorithms. In the present work, nine specimens of similar…

10.3221/IGF-ESIS.62.31Copy the DOI link

Details: Optimization of the Mechanical Property of Friction Stir Welded Heat Treatable Aluminum Alloy by using Bio-Inspired Artificial Intelligence Algorithms PDF Visual Abstract

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Integrity of materials and structures Views: 1,491 Downloads: 695 Vol. 19, No. 71 (2025) October 27, 2024 pp. 164-181

Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction

Asraar Anjum, Meftah Hrairi, Abdul Aabid Shaikh, Noorfazrina Yatim, Maisarah Ali

The integration of artificial intelligence (AI) and statistical methods has revolutionized civil engineering by enhancing accuracy, efficiency, and reliability in various processes. This review systematically examines how advanced…

10.3221/IGF-ESIS.71.12Copy the DOI link

Details: Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction PDF HTML Visual Abstract

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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

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Structural Integrity and Durability of Structures Views: 647 Downloads: 477 Vol. 18, No. 67 (2024) December 17, 2023 pp. 12-23

Fault detection in beam structure using adaptive immune based approach

Sasmita Sahu, Shakti Jena

Different structural and machine elements are used over the ages. These are subjected to various loads like static and dynamic load, temperature, corrosion etc. Due to the above-mentioned reasons, ageing of the structural elements occur.…

10.3221/IGF-ESIS.67.02Copy the DOI link

Details: Fault detection in beam structure using adaptive immune based approach PDF Visual Abstract

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Structural Integrity and Durability of Structures Views: 1,205 Downloads: 760 Vol. 17, No. 65 (2023) June 22, 2023 pp. 289-299

Automatic detection of concrete cracks from images using Adam-SqueezeNet deep learning model

Lin Wang

Cracks on concrete surface are typically clear warning signs of a potential threat to the integrity and serviceability of structure. The techniques based on image processing can effectively detect the cracks from images. These techniques…

10.3221/IGF-ESIS.65.19Copy the DOI link

Details: Automatic detection of concrete cracks from images using Adam-SqueezeNet deep learning model 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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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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Structural Integrity and Durability of Structures Views: 1,794 Downloads: 984 Vol. 16, No. 62 (2022) September 22, 2022 pp. 460-489

The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020)

Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

The structural health monitoring (SHM) approach plays a key role not only in structural engineering but also in other various engineering disciplines by evaluating the safety and performance monitoring of the structures. The structural…

10.3221/IGF-ESIS.62.32Copy the DOI link

Details: The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) PDF Visual Abstract

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Structural Integrity and Durability of Structures Views: 2,782 Downloads: 1,478 Vol. 17, No. 64 (2023) March 21, 2023 pp. 51-76

A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)

Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

In recent years, many innovative optimization algorithms have been developed. These algorithms have been employed to solve structural damage detection problems as an inverse solution. However, traditional optimization methods such as…

10.3221/IGF-ESIS.64.04Copy the DOI link

Details: A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021) PDF Visual Abstract

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Integrity of materials and structures Views: 2,794 Downloads: 992 Vol. 18, No. 69 (2024) April 17, 2024 pp. 43-59

Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review

Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

In the past five years, the implementation of machine learning (ML) techniques has surged in civil engineering applications, particularly for optimizing and predicting solutions to various challenges. More robust prediction models may be…

10.3221/IGF-ESIS.69.04Copy the DOI link

Details: Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review PDF Visual Abstract

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