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Hong-Zhen Zhu, Jiang-Hai Wu and Yu-Dong Sun
The violent vibration of truss structures may cause fatigue, faults, or even an accident. Aiming to analyze the vibration power flow and transfer path of two-dimensional truss structures in the mid and high-frequency domain, this paper proposed a fast dy...
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Kun Wang, Qi Zhang and Jiafu Liu
In this work, vibration prediction of space large-scale membranes from the energy point of view is investigated. Based on the Green kernel of vibrating membranes, a new analytical representation of energy response of infinite membranes is derived. Averag...
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Navya Gara, Velmurugan Ramachandran and Jayaganthan Rengaswamy
The present work investigates the impact behaviour of Al 2024-T3 alloy using FEM analysis performed through LS DYNA software. Johnson?Cookvisco-plastic model is used to study the ballistic impact resistance of target Al alloy impacted by a rigid steel cy...
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Michael Lo, Saravanan Karuppanan and Mark Ovinis
Machine learning tools are increasingly adopted in various industries because of their excellent predictive capability, with high precision and high accuracy. In this work, analytical equations to predict the failure pressure of a corroded pipeline with ...
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Monica Tapia, Y. Espinosa-Almeyda, R. Rodríguez-Ramos and José A. Otero
A three-dimensional semi-analytical finite element method (SAFEM-3D) is implemented in this work to calculate the effective properties of periodic elastic-reinforced nanocomposites. Different inclusions are also considered, such as discs, ellipsoidals, s...
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