Browsing by Subject "Wind-pressure -- Research"
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Item Experimental behavior of structurally glazed insulating glass units(Texas Tech University, 1989-05) Bailey, James RobertStructural glazing has become a popular method for finishing building exteriors in recent years. Structural glazing is a system of bonding glass, stone, or other materials to the structural frame of a building using structural silicones. Twenty-five to 40 percent of all new commercial glazing is structural glazing. More complex structural glazing systems use insulating glass (IG) units with structural silicone applied to all sides. No mechanical fasteners exist to hold the IG units in place. This design poses several interesting problems for engineers. Researchers at Texas Tech University conducted tests on eight structurally glazed IG unit samples. The National Science Foundation and several members of industry sponsored the research. These eight structurally glazed IG unit samples underwent applied simulated wind pressures on one or both sides. Instruments measured changes in structural seal and IG seal shapes. This dissertation defines changes in structural seal and IG seal shapes as the samples deform under pressure. This dissertation also discusses the behavior of these eight structurally glazed IG unit samples.Item Uncertainties in pressure coefficients derived from full and model scale data / $c by Fei Long.(Texas Tech University, 2004-08) Long, FeiThe purpose of this study is to build the uncertainties associated with the wind tunnel testing and full-scale to wind tunnel pressure coefficient extrapolation by comparing the model and full-scale pressure coefficients. Two types of comparisons were made: one is the comparison between the two models CSU & SLM, and the other is the comparison between the models and full-scale (WERFL). For each case, both the observed statistics (i.e., mean, standard deviation, maximum, and minimum Cp) and estimated mean extreme Cp are analyzed. Two methods are used to obtain the estimated mean hourly extreme pressure coefficients. For the first case, the uncertainties according to repeatability, model-building, use of different wind tunnels, and estimation techniques for pressure coefficients statistics (i.e., both observed statistics and estimated mean extreme Cp) were estimated. For the second case, the pressure coefficients statistics (i.e., both observed statistics and estimated mean extreme Cp) of model and full-scale records achieved for a comparison. Individual tap time series as well as the area average and moving average time series were used to establish the uncertainties. The best-fit (Palisade Corporation, 1993) program is used to obtain best-fit probability density function and summary statistics for the error terms of all observed statistics comparison.Item Wind load factors for Atlantic and Gulf Coast hurricane winds(Texas Tech University, 1998-08) McAnulty, John NWith the recent increase of technology and the understanding of wind effects and reliability analysis, studies have begun to re-examine the wind load criteria used in the ASCE 7-95 Standard. In this standard, an unresolved issue about the wind load factor surrounding Load and Resistance Factor Design (LRFD) exists. The current edition of ASCE 7-95 contains a load factor for winds, but the load factor was derived using wind statistics from sites that are generally not subjected to hurricanes. Instead, hurricane wind properties are accounted for in a hurricane coast importance factor. In this research, U.S. Gulf and East coasts hurricane wind loads are considered specifically to develop a partial wind load factor for hurricane winds that may differ from the current wind load factor. The philosophy used to development the wind loads in this research follows that of Ellingwood et al. (1980). This is the same philosophy that is used as the framework for implementing reliability methods into U.S. building codes. This research utilizes the most recent Monte Carlo simulation program along with the model of the analytical-empirical profile model of Holland (1980) in simulating hurricanes. Two different hurricane wind speed distribution types are considered, and the wind loads are calculated based on the most recent values and probability distribution functions of the wind load parameters that were available in 1997