1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Άρθρα/Articles
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1472
DC FieldValueLanguage
dc.contributor.authorConstantinides, Georgios-
dc.contributor.authorMillwater, Harry R.-
dc.contributor.authorShook, Brian D.-
dc.contributor.otherΚωνσταντινίδης, Γιώργος-
dc.date.accessioned2013-03-08T14:11:12Zen
dc.date.accessioned2013-05-17T05:22:44Z-
dc.date.accessioned2015-12-02T10:05:59Z-
dc.date.available2013-03-08T14:11:12Zen
dc.date.available2013-05-17T05:22:44Z-
dc.date.available2015-12-02T10:05:59Z-
dc.date.issued2004-
dc.identifier.citationCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 2004, vol. 4, pp. 2543-2552en_US
dc.identifier.issn02734508-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1472-
dc.description.abstractA parallel processing methodology is developed and applied to improve the efficiency of probabilistic fracture mechanics analyses of gas turbine disks subject to metallurgical defects. A parallel processing spatial decomposition approach using a network of workstations and personal computers is described whereby each computer analyzes a region of the disk. The individual analyses are then combined to obtain the probability of fracture of the total disk. Practical implementation issues of job scheduling and optimum file size are addressed. Numerical applications are presented that demonstrate the methodology. This capability can significantly facilitate efficient evaluations of gas turbine rotor designs.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conferenceen_US
dc.rights© American Institute of Aeronautics and Astronauticsen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectGas-turbine disksen_US
dc.subjectRandom variablesen_US
dc.subjectFinite element methoden_US
dc.subjectGas-turbinesen_US
dc.subjectMachine designen_US
dc.subjectFracture mechanicsen_US
dc.titleApplication of parallel processing to probabilistic fracture mechanics analysis of gas turbine disksen_US
dc.typeArticleen_US
dc.affiliationUniversity of Texasen
dc.collaborationUniversity of Texas at San Antonioen_US
dc.subject.categoryENGINEERING AND TECHNOLOGYen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.2514/6.2004-1745en_US
dc.dept.handle123456789/54en
dc.relation.volume4en_US
cut.common.academicyear2004-2005en_US
dc.identifier.spage2543en_US
dc.identifier.epage2552en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypearticle-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-1979-5176-
crisitem.author.parentorgFaculty of Engineering and Technology-
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