Submission Deadline: 31 January 2027 View: 173 Submit to Special Issue
Prof. Dr. Chao Fu
Email: fuchao@nwpu.edu.cn
Affiliation: Institute of Vibration Engineering, Northwestern Polytechnical University, Xi'an, China
Research Interests: damage modeling in rotor systems, dynamic analysis, uncertainty quantification, reliability and optimization; fault detection
Prof. Dr. Kuan Lu
Email: lukuan@nwpu.edu.cn
Affiliation: Institute of Vibration Engineering, Northwestern Polytechnical University, Xi'an, China
Research Interests: nonlinear dynamics of damaged rotor systems, nonlinear vibrations, vibration mitigation and suppression
Prof. Dr. Yongfeng Yang
Email: yyf@nwpu.edu.cn
Affiliation: Institute of Vibration Engineering, Northwestern Polytechnical University, Xi'an, China
Research Interests: modeling of complex faulted rotor-bearing structures, damage detection methods and signal processing, uncertainty propagation
Complex rotor-bearing systems in critical assets such as aeroengines and gas turbines often experience extreme loads and working conditions, which could be time-varying and harsh. As such, rotor bearing systems are prone to being damaged due to the occurrence of various faults, including coupling misalignment, rubbing between components, fatigue cracks and fracture of blades. These faults and damages seriously endanger the reliable running as well as the safety of the rotating machines.
Researches on the modeling, dynamics and damage detection of faulted rotor systems are deeply associated with the computer-aided modeling and computation methodologies. Despite remarkable advancements on these topics in recent years, many challenges remain to be addressed to facilitate high-fidelity modeling, fast dynamic solution and accurate damage assessments. In addition, rotor systems in realistic engineering inevitably involve various uncertainties and consist of multiple connection structures, such as splines, joints and curvic couplings, which make the situation even more intractable. Thus, new modeling strategies, insightful dynamic mechanisms, intelligent damage detection and signal processing techniques need to be developed.
This special issue aims to bring together the most recent advances on different aspects of researches on damaged rotor dynamics, fostering a platform for idea exchanges of scholars and engineers worldwide. Both original articles and review papers on the theoretical and experimental studies are welcome. Potential topics include, but are not limited to:
· Novel fault modeling methods and assessment of effects on vibrations
· New dynamic phenomenon and mechanisms in damaged rotor systems
· Intelligent detection methods for faults or damages and signal processing
· Insights into modeling of connect components and their effects on dynamics
· Connection failure modes, feature extractions and identification methods
· Efficient uncertainty handling in modeling, analysis and damage characterization
· Vibration suppression and reliability enhancement of rotor systems with damage
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