It is well known that some meteorological phenomenon will cause sizable danger to aviation safety, for example: low level windshear, turbulence, ice accretion and heavy rain, etc. The purpose of this research is to find out, by using existing low level windshear F-factor as the medium, the degrees of performance degradation for aircraft flying under different adverse weather conditions.
First of all, the study will set up the low level windshear 3-D wind field (including the side wind) and 3-D F-factor, then tally up the result with turbulence T-factor developed by our research group earlier. Secondly, take the aircraft performance amount calculated from heavy rain and ice accretion by using existing CFD techniques; convert it to an equivalent F-factor value. Add it with the previous result would get us the total performance amount under these weather conditions. At the end, tally up the different F-factor and T-factor values from the four adverse weather conditions that the aircraft might face, forming FT-factor and the newly created FW-factor, which will lead to the total aircraft performance degraded values in various adverse weather conditions. It is believed that the FW-factor represents a measuring weighting parameter for each adverse weather condition, which might co-exist with each other.
Taiwan is located at the intersection of the world’s largest ocean and land, which makes its meteorological phenomena full of varieties than that in many countries. In recent years, there are several accidents caused by adverse weather conditions. Therefore, it is necessary to investigate the meteorological phenomena that might be threat to aviation safety. Through the combining efforts in flight dynamics, aerodynamics, performance parameter developments, this study represents a first try in quantifying different adverse weather influences on aircraft performance degradation. It is hoped that the research results will be useful to local aviation safety community and help to eliminate some of the loss in lives and properties.