Research Initiation:  An Extension of Local Monotonicity to Optimal Design of Large Systems of Mechanical Components
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'K. (Cheena) Srinivasan', 'PO_EMAI': None, 'PO_PHON': None}
Optimization in engineering design is an important aspect of the design         process.  It aims at a more efficient and rational allocation of                resources resulting in improved productivity.  This research aims at            extension of local monotonicity to optimal design of large systems of           mechanical components which are encountered very often in mechanical            design.  The idea of decomposition theory will be used to break down a          large-scale nonlinearly constrained design optimization problem into a          collection of small problems.  These small problems will then be                optimized and their solutions coordinated in a prescribed manner,               leading to the solution to the original problem.  Problems arising from         the design and/or application of mechanical systems will be used as             guiding examples.  The result of this work will complement the existing         numerical optimization techniques, in particular those which are used           for solving large-scale constrained nonlinear optimization problems.
{'FirstName': 'Shapour', 'LastName': 'Azarm', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shapour Azarm', 'EmailAddress': 'azarm@umd.edu', 'NSF_ID': '000231713', 'StartDate': '07/01/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}
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{'Code': '1464', 'Text': 'ESD-Eng & Systems Design'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1985&All=true', 'xml': '8505113.xml'}