Dear Colleagues,

With the development of science and technology, engineers have been devoted to developing advanced aerospace vehicles and systems with more functions and higher performances. As a practical matter, real aerospace systems are inevitably confronted with multiple sources of uncertainty arising from modeling errors, material discrepancy, machining tolerance and environmental variations during the processes of design, manufacture and service. Hence, Uncertainty Quantification (UQ) is a crucial aspect in the reliability or robust design of aerospace structures and systems. However, the lack of knowledge or experimental data, the coupling between different physical fields and the expensive computational cost of high-fidelity simulation make UQ and model validation extremely challenging. A series of problems of interest are expected to be well solved, such as rational modeling of uncertain parameters based on limited experience and experimental data, compatibility and consistency between different uncertain models, importance measure of uncertain variables, estimation of uncertainty propagation in multidisciplinary systems, reliability evaluation of structures and systems with uncertainties, optimization performed in the context of uncertainty, model calibration, verification and validation, etc.

This Special Issue welcomes papers on the following topics: 1) uncertainty characterization, 2) compatibility and consistency of different uncertain models, 3) uncertainty quantification and model validation in aerospace engineering, 4) global sensitivity analysis of uncertain variables, 5) uncertainty propagation in single disciplinary/multidisciplinary systems (including perturbation method, optimization approach, surrogate model method, sampling approach, hybrid algorithm, etc.), and 6) reliability/robust analysis and optimization of aerospace structures and systems. We hope this Special Issue will keep inspiring scholars and engineers to develop more effective and efficient UQ technologies for improving the credibility and consistency of simulation-based analyses and designs in aerospace engineering.

Prof. Dr. Zhiping Qiu
Guest Editor

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• Uncertainty quantification
• Uncertainty propagation
• Sensitivity analysis
• Model verification and validation
• Reliability analysis and optimization
• Robust analysis and optimization
• Aerospace engineering