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Dynamic Response Analysis of Misaligned Rotating Systems in Water Pumping Stations Under Uncertainty
Ahmed Ghorbel a, Mouna Hadj Kacem b, Nabih Feki b, Lassâad Walha c, Abdelkhalak ELHami d and Mohamed Haddar c
aAssociate Professor, Higher Institute of Applied Sciences and Technology of Kairouan, University of Kairouan, Tunisia.
bProfessor, Higher Institute of Applied Sciences and Technology of Sousse, University of Sousse, Tunisia.
cProfessor, Mechanical, Modeling and Manufacturing Laboratory LA2MP. National School of Engineers of Sfax, Sfax, Tunisia.
dNormandie Mechanical Laboratory LMN, National Institute of Applied Sciences of Rouen, Haute Normandie, France.
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Abstract:
Rotating systems are essential components in various machinery and equipment, such as pumping stations, where precise alignment is crucial for optimal performance. Couplings, which connect motors to driven shafts, must balance rigidity and flexibility to meet dynamic operational demands. However, due to their flexibility, these systems are susceptible to vibrations and misalignments, often introduced during installation. This study addresses the uncertainty in the dynamic response of a rotating system composed of a motor, a pump, shafts, and two flexible couplings. The developed model includes three bearings and 12 degrees of freedom. The system's dynamic behaviour is analysed in both aligned and misaligned conditions to assess the impact of misalignment on vibration response. The robustness analysis is conducted in two phases: first, by evaluating the uncertainty associated with the alignment defect, and second, by examining the uncertainty in the torsional stiffness of the coupling.
To achieve this, the study employs the probabilistic Polynomial Chaos approach, validated using the Monte Carlo method. This combined methodology provides a comprehensive understanding of system uncertainties, enabling the development of strategies to mitigate potential issues and enhance overall reliability.
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Keywords: Rotating systems, Robustness analysis, Dynamic study
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©
2026
CSME , ISSN 0257-9731
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