Performing reliability-based design optimization with insufficient input data is a significant
and challenging issue as accurately quantifying epistemic uncertainty can be difficult in such …

Offshore installations must be built to resist fatigue as well as extreme forces caused by
severe environmental conditions. The structural reliability analysis is the popular practise to …

不确定性客观存在于工程结构生产制造以及服役等各环节之中并对结构的承载性能影响显著.
特别是对于服役条件苛刻的航空航天承载装备, 在设计阶段考虑多源不确定性的影响对于结构 …

Robust designs have been widely used in process optimisation to improve product quality,
which is affected by many parameters, including material properties, geometric conditions …

For the deterioration model of a material, it is crucial to design a validation experiment to
determine the ability of the deterioration model to simulate the actual deterioration process …

In structural applications, uncertainties are unavoidable and play a significant role in risk
assessment. Probabilistic risk assessment (PRA) is used to determine the level of risk …

Optimization-based model calibration (OBMC) determines statistical parameters of unknown
input variables by optimizing statistical similarity between simulations and observations …

The fourth-moment method can accurately perform a reliability analysis when it is
challenging to determine the distribution of the random variable due to limited available …

Sampling-based uncertainty quantification demands large data. Hence, when the available
sample is scarce, it is customary to assume a distribution and estimate its moments from …

Robust Design architectures permit identifying designs in the input space that minimize the
mean as well as the spread of the response in the performance space, when the input …