Structural Reanalysis in Advanced Computing Environment
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'Ken Chong', 'PO_EMAI': None, 'PO_PHON': None}
Many structural engineering problems involve incremental/iterative              solution procedures and require significant amount of computations.  The        proposed investigation concerns with developing efficient reanalysis            strategies in advanced multiprocessing environments.  This study                involves application of advanced mathematical concepts including graph-         theoretic techniques and multilevel algorithms for computational                intensive engineering problems.  The two application areas identified           for this research are adaptive finite element analysis and optimization         using substructures.  The objective is to develop efficient parallel            solution procedures for these two computational intensive problems.  The        algorithms developed will be important to the next generation                   engineering software, and the work will enrich the knowledge in                 structural engineering in advanced computing environments.
{'FirstName': 'Kincho', 'LastName': 'Law', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kincho H Law', 'EmailAddress': 'law@stanford.edu', 'NSF_ID': '000474933', 'StartDate': '02/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Rensselaer Polytechnic Institute', 'CityName': 'TROY', 'ZipCode': '121803590', 'PhoneNumber': '5182766000', 'StreetAddress': '110 8TH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_ORG': 'NY20', 'ORG_UEI_NUM': 'U5WBFKEBLMX3', 'ORG_LGL_BUS_NAME': 'RENSSELAER POLYTECHNIC INSTITUTE', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1442', 'Text': 'CONSTRUCTION AND INFRASTRUCTUR'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8613530.xml'}