Damage quantification of a metallic beam under thermo-mechanical loads using novel empirical correlations and neural network.

Autor: Zai, Behzad Ahmed, Mansoor, Asif, Siddiqui, Umer Abdullah, Javed, Jahanzeb, us Saqib, Najam
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Zdroj: Noise & Vibration Worldwide; Jan2024, Vol. 55 Issue 1/2, p68-83, 16p
Abstrakt: This research examines the interactions between fracture depth and crack location on a cantilever beam's dynamic response under thermomechanical loads. The structure's stiffness is significantly influenced by temperature, and changes in stiffness can alter the response's damping, frequency, and amplitude. The basis for measuring damage to an Aluminium 2024 specimen under thermomechanical loads is provided by these variations. Cantilever beams are used in experiments that are carried out at elevated temperatures, such as 50°C, 100°C, 150°C, and 200°C, as well as at room temperature (non-heating). This analysis takes into account a cantilever beam with different initial fracture depths and positions. The outcomes of the experimental, analytical, and numerical work are found to be in good accord. This research mainly fill the gaps of recent techniques for structure health monitoring of metallic structures where the coupled loads exist. Dynamic response formulation is presented experimentally on beam for the first time under thermo-mechanical loads. The dynamic parameters vary with material stiffness, thus; this change is also investigated by introducing the temperature as a key variable using a specially designed temperature controller. A novel technique is presented for damage estimation in metallic structures using the experimental data that is currently accessible which is later compared with the neural network approach. This tool helps in finding out and quantifying damagesusing dynamic response, temperature along withfinding of subsurface cracks. The results establisha clearway of diagnosing the crack growth at any particular instant under thermo-mechanical loads within the operational condition. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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