Modelling of Wind for Structural Load Combinations
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'J. Eleonora Sabadell'}
Original wind speed records in the form of continuous gust strip                charts are examined to develop pertinent statistics of wind                     speeds for use in existing probabilistic load combination                       methods.  The wind is modelled as a square wave Poisson pulse                   process.  The statistics obtained are expected frequency of                     structurally significant wind speeds, mean duration of wind                     speed, and the probability distribution of the mean wind speed                  during an occurrence.  The statistics are verified by comparing                 extreme wind statistics obtained from the developed model with                  those obtained previously by other researchers.  Various sites                  from across the contiguous U.S. are used in the development of                  the statistics.                                                                                                                                                 Results from this work will contribute to improve mapping and                   gust criteria for structures design, and will be useful in                      structural reliability modeling.
{'FirstName': 'Richard', 'LastName': 'Bennett', 'EmailAddress': 'rmbennett@utk.edu', 'StartDate': '07/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Tennessee Knoxville', 'CityName': 'Knoxville', 'ZipCode': '379163801', 'PhoneNumber': '8659743466', 'StreetAddress': '1331 CIR PARK DR', 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN'}
{'Code': '1474', 'Text': 'NAT & MAN-MADE HAZARD MITIGATI'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8706844.xml'}