Traditional structural uncertainty analysis is mainly based on probability models and
requires the establishment of accurate parametric probability distribution functions using …

Engineering structures are often subject to various types of uncertainties, including random,
interval, and fuzzy uncertainties. When dealing with hybrid uncertainties, global sensitivity …

In many engineering practices with uncertainty, the non-probabilistic methods play an
increasing important role. To overcome the limitation of traditional single-uncertainty …

The parameters considered in structural dynamic reliability analysis have strong
uncertainties during machinery operation, and affect analytical precision and efficiency. To …

Reliability allocation of industrial robot (IR) system is one of the important means to improve
its whole life cycle, reduce maintenance cost, and characterize weak subsystems. The IR …

With the development of modern computing technology, the uncertainty propagation theory
plays an increasing important role in the thermal engineering practice. Under this context …

The reliability sensitivity can be used to rank distribution parameters of system components
concerning their impacts on the system's reliability. Such information is essential to purposes …

Traditionally, only the uncertainty of input variables is considered in sensitivity analysis. In
this paper, a new sensitivity analysis technique based on the variance-based sensitivity …

To measure the contribution of the fuzzy distribution parameters of random model inputs to
the statistical characters of model output reasonably, the global sensitivity effect index of the …

Deteriorating of the error sources and the deviation of the quality characteristic (QC) of the
product from the target value are ubiquitous in practice. Studying the relative contribution of …