Reliability-oriented optimal design of intentional mistuning for a bladed disk with random and interval uncertainties

When interblade coupling is weak, the dynamic response of a bladed disk is very sensitive to the presence of uncertainties. Excessive response variation can be very harmful. Previous studies have indicated that introducing blade-to-blade difference in nominal design, known as intentional mistuning, could reduce the level of response variation. In this research, an efficient computational framework that yields the optimal design of intentional mistuning is developed to maximize the bladed disk reliability. Both the random uncertainty of blades and the interval uncertainty of disk connections are considered. The Metropolis-Hastings algorithm is applied to find the worst case response under interval uncertainty, and Monte Carlo simulation is employed to account for the random mistuning effect. A gradient-based approach is then established to find the minimum design modification needed to achieve a designated reliability level. Case studies are carried out to illustrate the effectiveness of the proposed method.
Publisher
TAYLOR & FRANCIS LTD
Issue Date
2017-05
Language
English
Keywords

METROPOLIS-HASTINGS ALGORITHMS; FORCED RESPONSE; VIBRATION; OPTIMIZATION; ASSEMBLIES; REDUCTION; VARIABLES; PATTERNS

Citation

ENGINEERING OPTIMIZATION, v.49, no.5, pp.796 - 814

ISSN
0305-215X
DOI
10.1080/0305215X.2016.1206538
URI
http://hdl.handle.net/10203/222676
Appears in Collection
ME-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
  • Hit : 109
  • Download : 0
  • Cited 0 times in thomson ci
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡClick to seewebofscience_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0