00907nam0-22003011i-450-99000183951040332120021010000183951FED01000183951(Aleph)000183951FED0100018395120021010d--------km-y0itay50------baita<<Die >>Ruhrepidemie im Regierungsbezirk Danzig 1895-96J. Borntraeger.Leipzig...1898.p. 375-47922 cmEstr. da: Zeitschrift fur Hygiene und Infectionskrankheiten a cura di R. Kogh, C. Flugge, 1898.Dissenteria614Borntraeger,Jean80795ITUNINARICAUNIMARCBK99000183951040332160 MISC. B 20/8FAGBCFAGBCRuhrepidemie im Regierungsbezirk Danzig 1895-96414344UNINAING0104390nam 22007335 450 991048497050332120250609110706.0981-15-6455-810.1007/978-981-15-6455-0(CKB)4100000011401212(MiAaPQ)EBC6321276(DE-He213)978-981-15-6455-0(PPN)250212900(MiAaPQ)EBC6321229(EXLCZ)99410000001140121220200828d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMultidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design /by Binbin Pan, Weicheng Cui1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (302 pages)Ocean Engineering & Oceanography,2194-6396 ;13981-15-6454-X Introduction -- Theory of Multidisciplinary Design Optimization,- Theory of Uncertainty -- Reliability and Its Analysis -- Multidisciplinary Design Optimization Based on Reliability -- Design of Deep Manned Submersible -- Application of Multidisciplinary Design Optimization in DMS. .This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep manned submersibles (DMSs). Multidisciplinary Design Optimization (MDO) is an effective design method for large engineering systems like aircraft, warships, and satellites, which require designers and engineers from various disciplines to cooperate with each other. MDO can be used to handle the conflicts that arise between these disciplines, and focuses on the optimal design of the system as a whole. However, it can also push designs to the brink of failure. In order to keep the system balanced, Reliability-based Design (RBD) must be incorporated into MDO. Consequently, new algorithms and methods have to be developed for RBMDO theory. This book provides an essential overview of MDO, RBD, and RBMDO and subsequently introduces key algorithms and methods by means of case analyses. In closing, it introduces readers to the design of DMSs and applies RBMDO methods to the design of the manned hull and the general concept design. The book is intended for all students and researchers who are interested in system design theory, and for engineers working on large, complex engineering systems.Ocean Engineering & Oceanography,2194-6396 ;13Ocean engineeringStatisticsMathematical optimizationOceanographyQuality controlReliabilityIndustrial safetyOffshore Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T23070Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Optimizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M26008Oceanographyhttps://scigraph.springernature.com/ontologies/product-market-codes/G25005Quality Control, Reliability, Safety and Riskhttps://scigraph.springernature.com/ontologies/product-market-codes/T22032Ocean engineering.Statistics.Mathematical optimization.Oceanography.Quality control.Reliability.Industrial safety.Offshore Engineering.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Optimization.Oceanography.Quality Control, Reliability, Safety and Risk.620.4162Pan Binbinauthttp://id.loc.gov/vocabulary/relators/aut1013800Cui Weichengauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910484970503321Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design2359374UNINA