000 03752nam a22006015i 4500
001 978-3-319-92943-9
003 DE-He213
005 20220801221050.0
007 cr nn 008mamaa
008 180621s2019 sz | s |||| 0|eng d
020 _a9783319929439
_9978-3-319-92943-9
024 7 _a10.1007/978-3-319-92943-9
_2doi
050 4 _aTL1-4050
072 7 _aTRP
_2bicssc
072 7 _aTTDS
_2bicssc
072 7 _aTEC002000
_2bisacsh
072 7 _aTRP
_2thema
072 7 _aTTDS
_2thema
082 0 4 _a629.1
_223
245 1 0 _aUncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
_h[electronic resource] /
_cedited by Francesco Montomoli.
250 _a2nd ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aX, 198 p. 88 illus., 52 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Chapter 1. Manufacturing/in Service Uncertainty and Impact on Life and Performance of Gas Turbines/Aircraft Engines -- Chapter 2. Why Uncertainty Quantification in CFD? The Matrix of Knowledge -- Chapter 3. Mathematical Formulation -- Chapter 4. Uncertainty Quantification Applied to Gas Turbine Components -- Chapter 5. Future developments.
520 _aThis book introduces design techniques developed to increase the safety of aircraft engines, and demonstrates how the application of stochastic methods can overcome problems in the accurate prediction of engine lift caused by manufacturing error. This in turn addresses the issue of achieving required safety margins when hampered by limits in current design and manufacturing methods. The authors show that avoiding the potential catastrophe generated by the failure of an aircraft engine relies on the prediction of the correct behaviour of microscopic imperfections. This book shows how to quantify the possibility of such failure, and that it is possible to design components that are inherently less risky and more reliable. This new, updated and significantly expanded edition gives an introduction to engine reliability and safety to contextualise this important issue, evaluates newly-proposed methods for uncertainty quantification as applied to jet engines. Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines will be of use to gas turbine manufacturers and designers as well as CFD practitioners, specialists and researchers. Graduate and final year undergraduate students in aerospace or mathematical engineering may also find it of interest.
650 0 _aAerospace engineering.
_96033
650 0 _aAstronautics.
_953934
650 0 _aFluid mechanics.
_92810
650 0 _aContinuum mechanics.
_93467
650 0 _aEngines.
_932152
650 0 _aSecurity systems.
_931879
650 1 4 _aAerospace Technology and Astronautics.
_953935
650 2 4 _aEngineering Fluid Dynamics.
_953936
650 2 4 _aContinuum Mechanics.
_93467
650 2 4 _aEngine Technology.
_932154
650 2 4 _aSecurity Science and Technology.
_931884
700 1 _aMontomoli, Francesco.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_953937
710 2 _aSpringerLink (Online service)
_953938
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319929422
776 0 8 _iPrinted edition:
_z9783319929446
776 0 8 _iPrinted edition:
_z9783030065522
856 4 0 _uhttps://doi.org/10.1007/978-3-319-92943-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79255
_d79255