Special Issue on Reliability Modeling and Assessment of Complex Engineering Systems with Mixed Uncertainty
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
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However, the modeling and assessment of real engineering systems often face an environment with a mixed uncertainty, due to either the inherent randomness (aleatory uncertainty) or a lack of knowledge (epistemic uncertainty). Particularly, available information for reliability modeling is often imperfect, arising from insufficient accumulated knowledge, biased prior information, limited field test data, etc. This makes reliability assessment considering imperfect information and mixed uncertainty an imperative yet challenging task.
This Special Issue will be a collection on the latest innovative ideas, cutting-edge research results, and applications for complex engineering system reliability modeling and assessment. Applications in practical industrial settings will also be included.
Topic Areas
THE SCOPE OF THIS ISSUE INCLUDES BUT IS NOT LIMITED TO:- Reliability modeling and analysis of complex systems
- Reliability-based design optimization (RBDO) methods for robust design
- Risk analysis and reliability assessment for large-scale complex systems
- Predictive maintenance scheme and decision-making optimization
- AI-assist reliability methods for intelligent system
- Physical-based and/or data-driven methods for prognostics and health management (PHM)
- Uncertainty quantification and analysis for safety-critical systems
- Bayesian methods for reliability analysis
- Application of reliability methods for real engineering problems
Submission Instructions
Papers should be submitted electronically to the journal through the ASME Journal Tool. If you already have an account, log in as an author and select Submit Paper. If you do not have an account, you can create one here.Once at the Paper Submittal page, select the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, and then under the Special Issue field, select Special Issue on Reliability Modeling and Assessment of Complex Engineering Systems with Mixed Uncertainty.
Papers received after the deadline or papers not selected for the Special Issue may be accepted for publication in a regular issue.
Guest Editors
Lechang Yang, University of Science and Technology Beijing, China (yanglechang@ustb.edu.cn)
Matthias Faes, Technical University Dortmund, Germany (matthias.faes@tu-dortmund.de)
Yi Zhang, Tsinghua University, China (zhang-yi@tsinghua.edu.cn)
Xiaoge Zhang, The Hong Kong Polytechnic University, Hong Kong (xiaoge.zhang@polyu.edu.hk)
Min Xie, City University of Hong Kong, Hong Kong (minxie@cityu.edu.hk)