Browsing by Subject "Wind-pressure -- Mathematical models"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Determination of ram coefficients based on front end pressure distributions(Texas Tech University, 2004-12) Pritchard, Rochelle CThe objective of this experiment was to determine a relationship between the pressure distribution on the generic front fascia shape of a new vehicle and the corresponding ram correlation coefficients. For this purpose, a simple theoretical model is presented which establishes the expected relationships between the pressure distribution and ram correlation coefficients. An aspirated cylinder in cross flow was taken as an idealized representation of a vehicle front end and the experimental investigation was carried out in the Texas Tech University Wind Tunnel. Results of the measurements are in agreement with the theoretical expectations for openings which are located at or near the stagnation point or at the location of a pressure coefficient equal to one on the front of the model. For openings significantly further from the stagnation point or close to the location of a zero pressure coefficient on the model, the experimentally determined ram correlation coefficients exhibit less agreement with the theoretical expectationsItem Nonlinear dynamic response of rectangular glass plates subject to fluctuating wind loads(Texas Tech University, 1990-12) Zhang, YumingIt is a common practice to analyze and design window glass units using an equivalent static wind pressure. Little is known with regard to the dynamic behavior of window glass units subjected to a fluctuating wind pressure. Here, a mathematical model is developed to determine this dynamic behavior. Also, it is well known that the strength of a glass plate is related to the magnitude and duration of the nominal tensile stress due to cyclic or randomly distributed loads such as fluctuating wind pressure. In this research, a random fluctuating wind pressure is simulated using the well known Davenport spectrum for wind velocity and Vaicaitis expression for generating discrete wind velocity-time data. Since the glass plate might undergo large displacements, the dynamic nonlinear von Karman plate equations are used. The dynamic finite difference model developed by Vallabhan and Selvam is modified to consider the response due to a random fluctuating wind pressure. Time dependent displacement, velocity, and maximum tensile principal stress in a vibrating glass plate are the outcome of this analysis.