03200nam a22005895i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172050001600186072001600202072002300218072001500241245024500256250001800501264006900519300006600588336002600654337002600680338003600706347002400742490008800766520069500854650003601549650003401585650002901619650002301648650002501671650005301696650006101749650003401810650002301844650002501867650003701892700008301929700008502012700008002097700008602177710003402263773002602297776003602323776003602359776003602395830008802431856004602519912001402565912001402579999001702593978-3-031-37003-8DE-He21320251030110821.0cr nn 008mamaa231006s2024    sz |    s    |||| 0|eng d  a97830313700389978-3-031-37003-87 a10.1007/978-3-031-37003-82doi 4aTA329-348 4aTA345-345.5 7aTBJ2bicssc 7aTEC0090002bisacsh 7aTBJ2thema10aModel Validation and Uncertainty Quantification, Volume 3h[electronic resource] :bProceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023 /cedited by Roland Platz, Garrison Flynn, Kyle Neal, Scott Ouellette.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aIX, 210 p. 134 illus., 125 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aConference Proceedings of the Society for Experimental Mechanics Series,x2191-5652  aModel Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Introduction of Uncertainty Quantification Uncertainty Quantification in Dynamics Model Form Uncertainty and Selection incl. Round Robin Challenge Sensor and Information Fusion Virtual Sensing, Certification, and Real-Time Monitoring Surrogate Modeling. 0aEngineering mathematics.964145 0aEngineeringxData processing. 0aComputer science.958552 0aCivil engineering. 0aModel theory.966443 0aMathematical statisticsxData processing.96475014aMathematical and Computational Engineering Applications.24aModels of Computation.96644424aCivil Engineering.24aModel Theory.96644524aStatistics and Computing.9664461 aPlatz, Roland.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9664471 aFlynn, Garrison.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9664481 aNeal, Kyle.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9664491 aOuellette, Scott.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9664502 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303137002108iPrinted edition:z978303137004508iPrinted edition:z9783031370052 0aConference Proceedings of the Society for Experimental Mechanics Series,x2191-565240uhttps://doi.org/10.1007/978-3-031-37003-8  aZDB-2-ENG  aZDB-2-SXE  c56375d56375