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M. Domaneschi, R. Cucuzza, L. Sardone, S. Londoño Lopez, M. Movahedi and G. C. Marano
Random vibration analysis is a mathematical tool that offers great advantages in predicting the mechanical response of structural systems subjected to external dynamic loads whose nature is intrinsically stochastic, as in cases of sea waves, wind pressur...
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Piotr Bortnowski, Robert Król, Natalia Suchorab-Matuszewska, Maksymilian Ozdoba and Mateusz Szczerbakowicz
This study examines the optimization of ore receiving bins in underground copper mines, targeting the reduction of rapid wear and tear on bin components. The investigation identifies the primary wear contributors as the force exerted by the accumulated o...
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Jiancong Xu, Chen Sun and Guorong Rui
How to evaluate the reliability of deep soft rock tunnels under high stress is a very important problem to be solved. In this paper, we proposed a practical stochastic reliability method based on the third-generation non-dominated sorting genetic algorit...
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Saima Bhatti, Asif Ali Shaikh, Asif Mansoor and Murtaza Hussain
Machinery components undergo wear and tear over time due to regular usage, necessitating the establishment of a robust prognosis framework to enhance machinery health and avert catastrophic failures. This study focuses on the collection and analysis of v...
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Daniel Jancarczyk, Ireneusz Wróbel, Piotr Danielczyk and Marcin Sidzina
Vibration monitoring is essential for maintaining the optimal performance and reliability of industrial machinery, which experiences dynamic forces and vibrations during operation. This study delved into a comprehensive analysis of vibration monitoring i...
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