Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893276097> ?p ?o ?g. }
- W2893276097 endingPage "480" @default.
- W2893276097 startingPage "461" @default.
- W2893276097 abstract "This paper quantifies the compound effect of source-uncertainties on low-velocity impact of functionally graded material (FGM) plates following a coupled surrogate based finite element simulation approach. The power law is employed to evaluate the material properties of FGM plate at different points, while the modified Hertzian contact law is implemented to determine the contact force and other parameters in a stochastic framework. The time dependent equations are solved by Newmark's time integration scheme. Insightful results are presented by investigating the effects of degree of stochasticity, oblique impact angle, thickness of plate, temperature, power law index, and initial velocity of impactor following both probabilistic and non-probabilistic approaches along with in-depth deterministic analyses. A detail probabilistic analysis leading to complete probabilistic characterization of the structural responses can be carried out when the statistical distribution of the stochastic input parameters are available. However, in many cases concerning FGM, these statistical distributions may remain unavailable due to the restriction of performing large number of experiments. In such situations, a fuzzy-based non-probabilistic approach could be appropriate to characterize the effect of uncertainty. A surrogate based approach based on artificial neural network coupled with the finite element model for low-velocity impact analysis of FGM plates is developed for achieving computational efficiency. The numerical results reveal that the low-velocity impact on FGM plates is significantly influenced by the effect of inevitable source-uncertainty associated with the stochastic system parameters, whereby the importance of adopting an inclusive design paradigm considering the effect of source-uncertainties in the impact analysis is established." @default.
- W2893276097 created "2018-10-05" @default.
- W2893276097 creator A5023258012 @default.
- W2893276097 creator A5035843564 @default.
- W2893276097 creator A5038818545 @default.
- W2893276097 date "2019-02-01" @default.
- W2893276097 modified "2023-10-17" @default.
- W2893276097 title "Stochastic low-velocity impact on functionally graded plates: Probabilistic and non-probabilistic uncertainty quantification" @default.
- W2893276097 cites W1569574814 @default.
- W2893276097 cites W1977289084 @default.
- W2893276097 cites W1979037954 @default.
- W2893276097 cites W1982789559 @default.
- W2893276097 cites W1984740741 @default.
- W2893276097 cites W1991546685 @default.
- W2893276097 cites W1991880283 @default.
- W2893276097 cites W1996039704 @default.
- W2893276097 cites W2000101229 @default.
- W2893276097 cites W2005633446 @default.
- W2893276097 cites W2006830098 @default.
- W2893276097 cites W2010776634 @default.
- W2893276097 cites W2019792477 @default.
- W2893276097 cites W2020402323 @default.
- W2893276097 cites W2020664909 @default.
- W2893276097 cites W2021509831 @default.
- W2893276097 cites W2022550152 @default.
- W2893276097 cites W2024251602 @default.
- W2893276097 cites W2031260111 @default.
- W2893276097 cites W2036709418 @default.
- W2893276097 cites W2044286234 @default.
- W2893276097 cites W2058042636 @default.
- W2893276097 cites W2059821057 @default.
- W2893276097 cites W2060176831 @default.
- W2893276097 cites W2063718851 @default.
- W2893276097 cites W2066488268 @default.
- W2893276097 cites W2072348827 @default.
- W2893276097 cites W2073654039 @default.
- W2893276097 cites W2074141580 @default.
- W2893276097 cites W2082746276 @default.
- W2893276097 cites W2117074889 @default.
- W2893276097 cites W2168605939 @default.
- W2893276097 cites W2183262228 @default.
- W2893276097 cites W2185519202 @default.
- W2893276097 cites W2235566418 @default.
- W2893276097 cites W2258528664 @default.
- W2893276097 cites W227690078 @default.
- W2893276097 cites W2299935422 @default.
- W2893276097 cites W2312240514 @default.
- W2893276097 cites W2313523745 @default.
- W2893276097 cites W2328514272 @default.
- W2893276097 cites W2333815705 @default.
- W2893276097 cites W2406186729 @default.
- W2893276097 cites W2497911147 @default.
- W2893276097 cites W2533466873 @default.
- W2893276097 cites W2554758172 @default.
- W2893276097 cites W2555018190 @default.
- W2893276097 cites W2559313771 @default.
- W2893276097 cites W2562255569 @default.
- W2893276097 cites W2582165986 @default.
- W2893276097 cites W2585407681 @default.
- W2893276097 cites W2586547398 @default.
- W2893276097 cites W2589034895 @default.
- W2893276097 cites W2589122213 @default.
- W2893276097 cites W2589766252 @default.
- W2893276097 cites W2590623518 @default.
- W2893276097 cites W2592482542 @default.
- W2893276097 cites W2593638999 @default.
- W2893276097 cites W2608059609 @default.
- W2893276097 cites W2613775946 @default.
- W2893276097 cites W2621403152 @default.
- W2893276097 cites W2627509417 @default.
- W2893276097 cites W2685406577 @default.
- W2893276097 cites W2737414279 @default.
- W2893276097 cites W2756776264 @default.
- W2893276097 cites W2757171953 @default.
- W2893276097 cites W2762410065 @default.
- W2893276097 cites W2765930123 @default.
- W2893276097 cites W2768393020 @default.
- W2893276097 cites W2786967438 @default.
- W2893276097 cites W2796200559 @default.
- W2893276097 cites W2800003672 @default.
- W2893276097 cites W2808690214 @default.
- W2893276097 cites W2886262119 @default.
- W2893276097 cites W2913344915 @default.
- W2893276097 cites W291934397 @default.
- W2893276097 cites W4245152641 @default.
- W2893276097 cites W877761995 @default.
- W2893276097 cites W2022362183 @default.
- W2893276097 doi "https://doi.org/10.1016/j.compositesb.2018.09.066" @default.
- W2893276097 hasPublicationYear "2019" @default.
- W2893276097 type Work @default.
- W2893276097 sameAs 2893276097 @default.
- W2893276097 citedByCount "50" @default.
- W2893276097 countsByYear W28932760972019 @default.
- W2893276097 countsByYear W28932760972020 @default.
- W2893276097 countsByYear W28932760972021 @default.
- W2893276097 countsByYear W28932760972022 @default.
- W2893276097 countsByYear W28932760972023 @default.
- W2893276097 crossrefType "journal-article" @default.