Matches in SemOpenAlex for { <https://semopenalex.org/work/W3010039340> ?p ?o ?g. }
- W3010039340 endingPage "219" @default.
- W3010039340 startingPage "202" @default.
- W3010039340 abstract "It is difficult to predict precisely the frequency response of a complex vibro-acoustic system in mid-frequency region. To overcome this deficiency, a novel hybrid stable node-based smoothed finite element method/statistical energy analysis model is proposed in this work. The whole vibro-acoustic system can be divided into a combination of a structural subsystem with statistical behavior and an acoustic subsystem with deterministic feature. The recently developed stable node-based smoothed finite element method is employed here to simulate the deterministic subsystem, and the statistical energy analysis is utilized to deal with the statistical subsystem. Based on the so-called diffuse field reciprocity relation, these two subsystems can be easily connected and coupled. Due to the introducing of gradient smoothing and compensation operation, our algorithm can significantly reduce the dispersion error compared with the traditional finite element method. Thus, it is expected that the present coupled model can provide ultra-accurate results. Numerical examples, including both benchmark and practical engineering cases, demonstrate that our algorithm works very well in mid-frequency vibro-acoustic analysis." @default.
- W3010039340 created "2020-03-13" @default.
- W3010039340 creator A5022274278 @default.
- W3010039340 creator A5025593064 @default.
- W3010039340 creator A5084147006 @default.
- W3010039340 creator A5087170119 @default.
- W3010039340 date "2020-07-01" @default.
- W3010039340 modified "2023-09-25" @default.
- W3010039340 title "A novel hybrid deterministic-statistical approach for the mid-frequency vibro-acoustic problems" @default.
- W3010039340 cites W1898741364 @default.
- W3010039340 cites W1989465390 @default.
- W3010039340 cites W1992070901 @default.
- W3010039340 cites W1993681052 @default.
- W3010039340 cites W2000425991 @default.
- W3010039340 cites W2003894508 @default.
- W3010039340 cites W2017805808 @default.
- W3010039340 cites W2023550470 @default.
- W3010039340 cites W2025153305 @default.
- W3010039340 cites W2035909075 @default.
- W3010039340 cites W2036590255 @default.
- W3010039340 cites W2040581126 @default.
- W3010039340 cites W2051635190 @default.
- W3010039340 cites W2068342569 @default.
- W3010039340 cites W2070118324 @default.
- W3010039340 cites W2075059368 @default.
- W3010039340 cites W2077171551 @default.
- W3010039340 cites W2085858405 @default.
- W3010039340 cites W2134422208 @default.
- W3010039340 cites W2193624841 @default.
- W3010039340 cites W2287532041 @default.
- W3010039340 cites W2325295109 @default.
- W3010039340 cites W2346093850 @default.
- W3010039340 cites W2482217252 @default.
- W3010039340 cites W2517963583 @default.
- W3010039340 cites W2530669577 @default.
- W3010039340 cites W2554058494 @default.
- W3010039340 cites W2609669804 @default.
- W3010039340 cites W2740060239 @default.
- W3010039340 cites W2747125872 @default.
- W3010039340 cites W2755289218 @default.
- W3010039340 cites W2756909532 @default.
- W3010039340 cites W2803178265 @default.
- W3010039340 cites W2804391983 @default.
- W3010039340 cites W2886830469 @default.
- W3010039340 cites W2905552285 @default.
- W3010039340 cites W2912246541 @default.
- W3010039340 cites W2913724452 @default.
- W3010039340 cites W2922103148 @default.
- W3010039340 cites W2954958301 @default.
- W3010039340 cites W2037369280 @default.
- W3010039340 doi "https://doi.org/10.1016/j.apm.2020.02.026" @default.
- W3010039340 hasPublicationYear "2020" @default.
- W3010039340 type Work @default.
- W3010039340 sameAs 3010039340 @default.
- W3010039340 citedByCount "7" @default.
- W3010039340 countsByYear W30100393402020 @default.
- W3010039340 countsByYear W30100393402021 @default.
- W3010039340 countsByYear W30100393402022 @default.
- W3010039340 countsByYear W30100393402023 @default.
- W3010039340 crossrefType "journal-article" @default.
- W3010039340 hasAuthorship W3010039340A5022274278 @default.
- W3010039340 hasAuthorship W3010039340A5025593064 @default.
- W3010039340 hasAuthorship W3010039340A5084147006 @default.
- W3010039340 hasAuthorship W3010039340A5087170119 @default.
- W3010039340 hasConcept C105795698 @default.
- W3010039340 hasConcept C11413529 @default.
- W3010039340 hasConcept C121332964 @default.
- W3010039340 hasConcept C127413603 @default.
- W3010039340 hasConcept C13280743 @default.
- W3010039340 hasConcept C135628077 @default.
- W3010039340 hasConcept C155560232 @default.
- W3010039340 hasConcept C15744967 @default.
- W3010039340 hasConcept C169903001 @default.
- W3010039340 hasConcept C185798385 @default.
- W3010039340 hasConcept C186370098 @default.
- W3010039340 hasConcept C205649164 @default.
- W3010039340 hasConcept C24890656 @default.
- W3010039340 hasConcept C31972630 @default.
- W3010039340 hasConcept C33923547 @default.
- W3010039340 hasConcept C3770464 @default.
- W3010039340 hasConcept C41008148 @default.
- W3010039340 hasConcept C62611344 @default.
- W3010039340 hasConcept C66938386 @default.
- W3010039340 hasConcept C77805123 @default.
- W3010039340 hasConceptScore W3010039340C105795698 @default.
- W3010039340 hasConceptScore W3010039340C11413529 @default.
- W3010039340 hasConceptScore W3010039340C121332964 @default.
- W3010039340 hasConceptScore W3010039340C127413603 @default.
- W3010039340 hasConceptScore W3010039340C13280743 @default.
- W3010039340 hasConceptScore W3010039340C135628077 @default.
- W3010039340 hasConceptScore W3010039340C155560232 @default.
- W3010039340 hasConceptScore W3010039340C15744967 @default.
- W3010039340 hasConceptScore W3010039340C169903001 @default.
- W3010039340 hasConceptScore W3010039340C185798385 @default.
- W3010039340 hasConceptScore W3010039340C186370098 @default.
- W3010039340 hasConceptScore W3010039340C205649164 @default.
- W3010039340 hasConceptScore W3010039340C24890656 @default.
- W3010039340 hasConceptScore W3010039340C31972630 @default.