000 03733nam a22005775i 4500
001 978-3-030-41564-8
003 DE-He213
005 20220801214618.0
007 cr nn 008mamaa
008 200316s2020 sz | s |||| 0|eng d
020 _a9783030415648
_9978-3-030-41564-8
024 7 _a10.1007/978-3-030-41564-8
_2doi
050 4 _aTH9701-9745
072 7 _aTNKS
_2bicssc
072 7 _aTEC032000
_2bisacsh
072 7 _aTNKS
_2thema
082 0 4 _a621
_223
100 1 _aGrynchenko, Oleksandr.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_939377
245 1 0 _aMechanical Reliability
_h[electronic resource] :
_bPrediction and Management Under Extreme Load Conditions /
_cby Oleksandr Grynchenko, Oleksiy Alfyorov.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aX, 125 p. 18 illus., 1 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 -- Reliability of elements with random bearing capacity -- Management of elements reliability -- Prediction of system reliability -- Prediction and management of reliability under conditions of using safety devices -- Appendixes.
520 _aThe volume describes the main theoretical propositions of the methodology to predict mechanical reliability under conditions of repeated exposure to random extreme loads. The mechanical load process is considered to be a form of a discrete sequence of loads occurring at times that form a random flow. The authors present solved problems of reliability prediction of elements having deterministic or random bearing capacity. A method for the probabilistic justification of safety factors is also developed in the book, providing a predetermined level of reliability of elements and systems for sudden failures during design. It considers the methods of prediction and managing reliability under conditions of using safety devices. The main theoretical results are presented in a form available for practical engineering applications. The book can be used by researchers and as a manual by teachers and graduate students of higher technical educational institutions. - Reviews the fundamentals of one of the many directions of science of reliability; - Allows prediction of an approximate value of the gamma-percentile operating time to a sudden mechanical failure corresponding to a known value of safety factors; - Facilitates readers prediction of a given reliability function of the projected object.
650 0 _aSecurity systems.
_931879
650 0 _aMechanics, Applied.
_93253
650 0 _aMachinery.
_931894
650 0 _aManufactures.
_931642
650 0 _aStatistics .
_931616
650 1 4 _aSecurity Science and Technology.
_931884
650 2 4 _aEngineering Mechanics.
_931830
650 2 4 _aMachinery and Machine Elements.
_931895
650 2 4 _aMachines, Tools, Processes.
_931645
650 2 4 _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_931790
700 1 _aAlfyorov, Oleksiy.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_939378
710 2 _aSpringerLink (Online service)
_939379
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030415631
776 0 8 _iPrinted edition:
_z9783030415655
776 0 8 _iPrinted edition:
_z9783030415662
856 4 0 _uhttps://doi.org/10.1007/978-3-030-41564-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76545
_d76545