Reliability-based Design Optimization with Mixture of Random and
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: Reliability-based Design Optimization with Mixture of Random and
Reliability-based Design Optimization with Mixture of Random and
UCŨNNLIBRARYDoctoral DissertationsUniversity of ConnecticutOpenCommonsộDUConnUniversity of Connecticut Graduate School42851Reliability-based Design Op Reliability-based Design Optimization with Mixture of Random andptimization with Mixture ofRandom and Interval UncertaintiesDavid YooUniveriity of Connecticut, david.yoo(Reliability-based Design Optimization with Mixture of Random and
ure of Random and Interval UncertaintiesDavid Yoo. PhDUniversity of Connecticut2017This study presents novel reliability-based design optimization iRBUCŨNNLIBRARYDoctoral DissertationsUniversity of ConnecticutOpenCommonsộDUConnUniversity of Connecticut Graduate School42851Reliability-based Design Op Reliability-based Design Optimization with Mixture of Random ands, novel SORM proposed in this study avoids the other two types of error by describing the quadratic failure surface with the linear combination of noncentral chi-square variables and using the linear combination of probability of failure estimation. Sensitivity analysis on the developed SORM is the Reliability-based Design Optimization with Mixture of Random andn performed for more accurate RBDO. As an alternative to analytic RBDO. sampling-based RBDO IS used in case when gradients of performance functions arReliability-based Design Optimization with Mixture of Random and
e not available. In this study, interval uncertainty is newly incorporated into existing sampling-based RBDO. since distribution of random uncertaintyUCŨNNLIBRARYDoctoral DissertationsUniversity of ConnecticutOpenCommonsộDUConnUniversity of Connecticut Graduate School42851Reliability-based Design Op Reliability-based Design Optimization with Mixture of Random andrated in numerical example that the proposed method efficiently converges to optimum design within a few design cycles. The RBDO approach is further applied to turbomachinery bladed disk, whose dynamic response is very sensitive to presence of uncertainties when interblade coupling is weak. Multi ob Reliability-based Design Optimization with Mixture of Random andjective optimization method is developed for optimal piezoelectric circuitry design to simultaneously achieve delocalization of vibration modes and ViReliability-based Design Optimization with Mixture of Random and
bration suppression, which IS integrated into the host bladed disk structure. Since piezoelectric material cannot withstand the high temperatures, thiUCŨNNLIBRARYDoctoral DissertationsUniversity of ConnecticutOpenCommonsộDUConnUniversity of Connecticut Graduate School42851Reliability-based Design Op Reliability-based Design Optimization with Mixture of Random andoriented optimal design for bladed disk throughout modification of geometry material properties of blades utilizing intentional mistuning technique, which is applicable to both compressor blades and high pressure turbine blades that are operated at severe temperatures. Both random uncertainty of bla Reliability-based Design Optimization with Mixture of Random anddes and interval uncertainty of disk coiuiections areconsidered. It is demonstrated in case studies that durability and reliability in bladed disk canReliability-based Design Optimization with Mixture of Random and
be achievedusing the proposed method.Reliability-based Design Optimization with Mixture of Random and Interval UncertaintiesDavid YooB.S.. Georgia InUCŨNNLIBRARYDoctoral DissertationsUniversity of ConnecticutOpenCommonsộDUConnUniversity of Connecticut Graduate School42851Reliability-based Design Op Reliability-based Design Optimization with Mixture of Random andctor of Philosophyat theUniversity of Connecticut2017Copyright byUCŨNNLIBRARYDoctoral DissertationsUniversity of ConnecticutOpenCommonsộDUConnUniversity of Connecticut Graduate School42851Reliability-based Design OpGọi ngay
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