New Trends in Lifecycle Reliability Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 8379

Special Issue Editors
Interests: time-varying reliability analysis; reliability-based design optimization (RBDO); robust design; model validation
Special Issues, Collections and Topics in MDPI journals
Interests: uncertainty quantification; system reliability design; sensitivity analysis
Interests: structural reliability; fatigue reliability; uncertainty quantification; performance modeling and testing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
For real-life dynamic and/or vibratory systems, the time-varying and highly nonlinear performance is greatly affected by time-varying loads, operating conditions, and stresses, among others. This brings new challenges in reliability analysis and design for time-varying systems, including the construction of time-varying limit state functions based on physics of failure, time-varying uncertainty quantification, correlation analysis of time-varying uncertainties, and time-varying design optimization algorithms under uncertainty.
This special issue aims to invite authors to submit full-length papers with original theoretical, numerical or experimental research contributions and innovative concepts that address all aspects of reliability analysis and design for time-varying systems. Also, applications in areas such as robotic systems, machine tools, battery systems, and transportation systems are welcome.
Potential topics include, but are not limited to:
- Uncertainty quantification
- Time-varying reliability analysis
- Reliability-based design optimization of time-varying systems
- Robust design of time-varying systems
- Model verification and validation
- Physics-based reliability modeling
- Design of experiments
- Performance reconstruction under uncertainty
- Non-linear dynamics under uncertainty
- Sensitivity analysis
- Multi-objective design optimization
- Computational intelligence assisted design
- Multidisciplinary time-varying system design
- Resilience analysis
- Resilience design
- System reliability design
- Topology design optimization
Prof. Dr. Zhonglai Wang
Prof. Dr. Liping He
Dr. Pengpeng Zhi
Dr. Yulin Jin
Guest Editors
Manuscript Submission Information
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