Aircraft engine design is a complicated process, as it involves huge number of components. The process begins with parametric cycle analysis. It crucial to determine the optimum values parameters that would give robust in early phase development, shorten for cost saving and man-hour reduction. To obtain solution, optimisation program often being executed more than once, especially Reliability B...

The aim of the paper is to present a newly developed approach for reliability-based design optimization. It is based on double loop framework where the outer loop of algorithm covers the optimization part of process of reliability-based optimization and reliability constrains are calculated in inner loop. Innovation of suggested approach is in application of newly developed optimization strateg...

This study applies variogram analyses of normalized difference vegetation index (NDVI) images derived from SPOT HRV images obtained before and after the ChiChi earthquake in the Chenyulan watershed, Taiwan, as well as images after four large typhoons, to delineate the spatial patterns, spatial structures and spatial variability of landscapes caused by these large disturbances. The conditional L...

Keywords: Statistical analysis Sensitivity Reliability Monte Carlo simulation Latin Hypercube Sampling Simulated annealing Random fields Material degradation a b s t r a c t The objective of the paper is to present methods and software for the efficient statistical, sensitivity and reliability assessment of engineering problems. Attention is given to small-sample techniques which have been deve...

One problem in computing cloud microphysical processes in coarse-resolution numerical models is that many microphysical processes are nonlinear and small in scale. Consequently, there are inaccuracies if microphysics parameterizations are forced with grid box averages of model fields, such as liquid water content. Rather, the model needs to determine information about subgrid variability and in...