Special Issue on Design of Large-scale Complex Systems under Uncertainty: Translating Theory to Practice
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Submit PaperLarge-scale systems are prevalent across critical infrastructure, manufacturing, offshore, automotive, aerospace, energy, and other sectors. These systems are inherently complex, and are characterized by the interactions among various components within the system and between the system and its environment. These systems are plagued with uncertainties stemming from various sources including incomplete or unreliable information, lack of data, and partially known physics. There is a growing demand for advanced techniques that can efficiently manage large-scale system complexity and result in robust and reliable design solutions with limited computational resources, ultimately minimizing failures with catastrophic consequences.
This special issue aims to bridge the gap between the theoretical frameworks and their real-world implementations with an emphasis on showcasing the effective implementation of safe design practices for large-scale complex systems. The submissions should clearly demonstrate relevance to a real application involving a large-scale complex system (either an actual system or a synthetic one mimicking a real application), address real-world challenges and constraints, consider economic and operational feasibility, provide insights into implementation strategies, and discuss lessons learned and/or best practices.
Topic Areas
THE SCOPE OF THIS ISSUE INCLUDES BUT IS NOT LIMITED TO:- Application of novel uncertainty propagation and quantification techniques
- Novel methodologies for design optimization under uncertainty with applications
- Digital twin applications for reliability prediction and monitoring
- Integration of scientific machine learning techniques