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Simone Arena, Giuseppe Manca, Stefano Murru, Pier Francesco Orrù, Roberta Perna and Diego Reforgiato Recupero
In the industrial domain, maintenance is essential to guarantee the correct operations, availability, and efficiency of machinery and systems. With the advent of Industry 4.0, solutions based on machine learning can be used for the prediction of future f...
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Miora Nirina Robson, Omar Al-Mansouri, Nicolas Pinoteau, Marco Abate, Kenton McBride, Roberto Piccinin, Sébastien Rémond and Dashnor Hoxha
Under fire conditions, bonded anchors often exhibit pull-out failure due to the thermal sensitivity of polymer-based adhesives. However, progress in manufacturing has allowed the development of more thermoresistant mortars, enhancing the probability of o...
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Ying Yang, Hailei Kou, Zhenghui Li, Yonggang Jia and Chaoqi Zhu
The study of the physical and mechanical properties of marine soil is of great importance for marine geohazard prediction, submarine energy extraction, and submarine foundation design. In this study, a series of basic geotechnical tests and triaxial comp...
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Woongshik Nam, Sung-Ju Park and Kookhyun Kim
An accurate prediction of the ultimate strength of lashing devices and deck structures is important to ensure the safety of the crews and carrying ships. In this study, finite element analysis using ABAQUS/implicit was performed to investigate the ultima...
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Ehsan Taheri, Saeid Esgandarzadeh Fard, Yousef Zandi and Bijan Samali
This study evaluates an innovative reinforcement method for cold-formed steel (CFS) upright sections through finite element assessment as well as prediction of the normalized ultimate load and deflection of the profiles by artificial intelligence (AI) an...
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