04319nam 22006495 450 991033765340332120220826210040.03-319-92943-710.1007/978-3-319-92943-9(CKB)4100000004836280(DE-He213)978-3-319-92943-9(MiAaPQ)EBC5434754(PPN)229498175(EXLCZ)99410000000483628020180621d2019 uy 0engurnn#|||mamaatxtrdacontentcrdamediacrrdacarrierUncertainty quantification in computational fluid dynamics and aircraft engines /editor, Francesco Montomoli2nd edition 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (X, 198 p.)88 illus., 52 illus. in colorSpringerBriefs in Applied Sciences and Technology3-319-92942-9 Introduction -- 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.This 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.SpringerBriefs in applied sciences and technology.Aerospace engineeringFluid mechanicsReliabilityIndustrial safetyAirplanesMotorsDesign and constructionComputational fluid dynamicsAerospace Technology and Astronauticshttps://scigraph.springernature.com/ontologies/product-market-codes/T17050Engineering Fluid Dynamicshttps://scigraph.springernature.com/ontologies/product-market-codes/T15044Fluid- and Aerodynamicshttps://scigraph.springernature.com/ontologies/product-market-codes/P21026Engine Technologyhttps://scigraph.springernature.com/ontologies/product-market-codes/T17048Quality Control, Reliability, Safety and Riskhttps://scigraph.springernature.com/ontologies/product-market-codes/T22032Aerospace engineering.Fluid mechanics.Reliability.Industrial safety.AirplanesMotorsDesign and construction.Computational fluid dynamics.Aerospace Technology and Astronautics.Engineering Fluid Dynamics.Fluid- and Aerodynamics.Engine Technology.Quality Control, Reliability, Safety and Risk.629.1Montomoli Francescoedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910337653403321Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines1412902UNINA