Submission Deadline: 30 June 2023 (closed) View: 117
With the dramatically rapid development of science and technology, the complexity of engineering structures promotes greatly, and people's high-performance requirements for structural analysis and design optimization are also getting higher. In practical engineering problems, due to the unavoidable uncertainties originating from the aging of materials, manufacturing instability, measurement errors and loads fluctuation, there may appear significant deviations between the actual structural response and the response predicted by the deterministic analysis. Besides, it is often especially expensive and time-consuming to obtain sufficient sample points from experiments for credible probability distribution functions. Therefore, it is of vital importance and necessity to develop advanced methods to take the uncertainties involved into account in structural analysis and design optimization issues.
It is our pleasure to invite you to submit a manuscript for this Special Issue covering the latest interesting research results from both the scientific and industrial societies. This area of expertise may contain analytical models, different numerical methods, as well as experimental approaches. We believe that experiences from research communities representing a wide area of engineering needs can satisfy a wide scientific audience.
Potential topics include but are not limited to the following:
• New statistical/non-statistical theories of uncertainty quantification
• Uncertain response computing modeling for dynamic mechanical systems
• Robustness and reliability assessment for practical engineering problems
• Uncertainty-based design optimization policies
• Inverse problems in mechanics with multi-source uncertainties
• Robust and Reliable control in engineering vibratory systems
• Fatigue life prediction and damage tolerance design with noises
• Advanced analysis and design methods in composite materials and structures
• Software or algorithm programming of uncertainty-based methods
• Future strategies of uncertainty-oriented numerical and test methods
• Non-probabilistic reliability-based topology optimization for integrated material-structure design
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