000 04358nam a22005775i 4500
001 978-3-319-72191-0
003 DE-He213
005 20220801221237.0
007 cr nn 008mamaa
008 180220s2018 sz | s |||| 0|eng d
020 _a9783319721910
_9978-3-319-72191-0
024 7 _a10.1007/978-3-319-72191-0
_2doi
050 4 _aTA349-359
072 7 _aTGMD
_2bicssc
072 7 _aSCI096000
_2bisacsh
072 7 _aTGMD
_2thema
082 0 4 _a620.105
_223
100 1 _aCoutelieris, Frank A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954908
245 1 0 _aExperimentation Methodology for Engineers
_h[electronic resource] /
_cby Frank A. Coutelieris, Antonios Kanavouras.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXII, 115 p. 6 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Continuum Mechanics,
_x2625-1337
505 0 _aIntroduction -- Fundamentals of phenomena --  Experimenting process --  Experimentation technology -- Modeling of experimentation outcome -- Conclusions & Recommendations. .
520 _aThis book delivers a methodological approach on the experimentation and/or simulation processes from the disclaiming hypothesis on a physical phenomenon to the validation of the results. The main benefit of the book is that it discusses all the topics related to experimentation and validation of the outcome including state-of-the-art applications and presents important theoretical, mathematical and experimental developments, providing a self-contained major reference that is appealing to both the scientists and the engineers. At the same time, these topics are encountered in a variety of scientific and engineering disciplines. As a first step, it presents the theoretical and practical implications on the formation of a hypothesis, considering the existing knowledge collection, classification and validation of the particular areas of experimenting interest. Afterwards, the transition from the knowledge classes to the experimentation parameters according to the phenomena evolution contributors and the systemic properties of the descriptors are discussed. The major experimenting requirements focus on the conditions to satisfy a potential disclaim of the initial hypothesis as conditions. Furthermore, the experimentation outcome, as derived via the previous experimentation process set-up, would be validate for the similarities among the existing knowledge and derived new one. The whole methodology offers a powerful tool towards the minimization of research effort wastes, as far as it can identify the lacks of knowledge, thus the areas of interest where the current research has to work on. The special features of this book are (a) the use of state-of-the-art techniques for the classification of knowledge, (b) the consideration of a realistic systemic world of engineering approached phenomena, (c) the application of advanced mathematical techniques for identifying, describing and testing the similarities in the research results and conclusions, and (d) the experimental investigation of relevant phenomena.
650 0 _aMechanics, Applied.
_93253
650 0 _aSolids.
_93750
650 0 _aComputational intelligence.
_97716
650 0 _aMathematical physics.
_911013
650 0 _aMathematical models.
_94632
650 1 4 _aSolid Mechanics.
_931612
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aMathematical Methods in Physics.
_931865
650 2 4 _aMathematical Modeling and Industrial Mathematics.
_933097
700 1 _aKanavouras, Antonios.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954909
710 2 _aSpringerLink (Online service)
_954910
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319721903
776 0 8 _iPrinted edition:
_z9783319721927
830 0 _aSpringerBriefs in Continuum Mechanics,
_x2625-1337
_954911
856 4 0 _uhttps://doi.org/10.1007/978-3-319-72191-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79453
_d79453