Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313531871> ?p ?o ?g. }
- W4313531871 endingPage "105209" @default.
- W4313531871 startingPage "105209" @default.
- W4313531871 abstract "A satisfactory balance between solution precision and computational efficiency can be achieved via mixed-order elements, however, the generality and robustness of commonly used methods can be further optimized. In this paper, a flexible and versatile mixed-order analysis method is developed based on Scaled Boundary Finite Element Method (SBFEM) theory, wherein one-dimensional linear and quadratic functions are combined to interpolate circular boundaries. The applicability and accuracy of the proposed method for different problems are explored and compared, and good accuracy and tolerance of element distortion performance are revealed. Moreover, compared with the quadratic element, computational efforts can be reduced considerably, enabling efficiency to be enhanced. Additionally, a polygon mixed-order formula can be directly derived, benefiting from the advantages of the SBFEM, wherein stronger universalities are rendered. In summary, the proposed method improves the flexibility and robustness of the mixed-order cells, and distinctive superiorities are revealed, providing an alternative option for the efficient and high-precision numerical analysis of vital structures." @default.
- W4313531871 created "2023-01-06" @default.
- W4313531871 creator A5014399935 @default.
- W4313531871 creator A5058318699 @default.
- W4313531871 creator A5074339191 @default.
- W4313531871 creator A5083817621 @default.
- W4313531871 date "2023-03-01" @default.
- W4313531871 modified "2023-10-16" @default.
- W4313531871 title "A high-precision formula for mixed-order polygon elements based on SBFEM" @default.
- W4313531871 cites W2015710984 @default.
- W4313531871 cites W2036837049 @default.
- W4313531871 cites W2038064014 @default.
- W4313531871 cites W2064493646 @default.
- W4313531871 cites W2078153683 @default.
- W4313531871 cites W2083142385 @default.
- W4313531871 cites W2084279782 @default.
- W4313531871 cites W2102393442 @default.
- W4313531871 cites W2106929525 @default.
- W4313531871 cites W2123729926 @default.
- W4313531871 cites W2131876017 @default.
- W4313531871 cites W2133701622 @default.
- W4313531871 cites W2146052626 @default.
- W4313531871 cites W2149014656 @default.
- W4313531871 cites W2464244137 @default.
- W4313531871 cites W2469044839 @default.
- W4313531871 cites W2529207977 @default.
- W4313531871 cites W2530554283 @default.
- W4313531871 cites W2586847631 @default.
- W4313531871 cites W2734649341 @default.
- W4313531871 cites W2753514054 @default.
- W4313531871 cites W2769231261 @default.
- W4313531871 cites W2794484953 @default.
- W4313531871 cites W2802809596 @default.
- W4313531871 cites W2884372849 @default.
- W4313531871 cites W2904981435 @default.
- W4313531871 cites W2909993044 @default.
- W4313531871 cites W2911664243 @default.
- W4313531871 cites W2947578736 @default.
- W4313531871 cites W2958328673 @default.
- W4313531871 cites W2963392759 @default.
- W4313531871 cites W3004520701 @default.
- W4313531871 cites W3008632937 @default.
- W4313531871 cites W3016359804 @default.
- W4313531871 cites W3027315929 @default.
- W4313531871 cites W3033883931 @default.
- W4313531871 cites W3100450294 @default.
- W4313531871 cites W3117853168 @default.
- W4313531871 cites W3122195946 @default.
- W4313531871 cites W3134486811 @default.
- W4313531871 cites W3135091047 @default.
- W4313531871 cites W315845051 @default.
- W4313531871 cites W3171338745 @default.
- W4313531871 doi "https://doi.org/10.1016/j.compgeo.2022.105209" @default.
- W4313531871 hasPublicationYear "2023" @default.
- W4313531871 type Work @default.
- W4313531871 citedByCount "2" @default.
- W4313531871 countsByYear W43135318712023 @default.
- W4313531871 crossrefType "journal-article" @default.
- W4313531871 hasAuthorship W4313531871A5014399935 @default.
- W4313531871 hasAuthorship W4313531871A5058318699 @default.
- W4313531871 hasAuthorship W4313531871A5074339191 @default.
- W4313531871 hasAuthorship W4313531871A5083817621 @default.
- W4313531871 hasConcept C104317684 @default.
- W4313531871 hasConcept C11413529 @default.
- W4313531871 hasConcept C114614502 @default.
- W4313531871 hasConcept C126042441 @default.
- W4313531871 hasConcept C126255220 @default.
- W4313531871 hasConcept C127413603 @default.
- W4313531871 hasConcept C129844170 @default.
- W4313531871 hasConcept C134306372 @default.
- W4313531871 hasConcept C135628077 @default.
- W4313531871 hasConcept C182310444 @default.
- W4313531871 hasConcept C184720557 @default.
- W4313531871 hasConcept C185592680 @default.
- W4313531871 hasConcept C190694206 @default.
- W4313531871 hasConcept C2524010 @default.
- W4313531871 hasConcept C28826006 @default.
- W4313531871 hasConcept C33923547 @default.
- W4313531871 hasConcept C41008148 @default.
- W4313531871 hasConcept C55493867 @default.
- W4313531871 hasConcept C63479239 @default.
- W4313531871 hasConcept C66938386 @default.
- W4313531871 hasConcept C76155785 @default.
- W4313531871 hasConceptScore W4313531871C104317684 @default.
- W4313531871 hasConceptScore W4313531871C11413529 @default.
- W4313531871 hasConceptScore W4313531871C114614502 @default.
- W4313531871 hasConceptScore W4313531871C126042441 @default.
- W4313531871 hasConceptScore W4313531871C126255220 @default.
- W4313531871 hasConceptScore W4313531871C127413603 @default.
- W4313531871 hasConceptScore W4313531871C129844170 @default.
- W4313531871 hasConceptScore W4313531871C134306372 @default.
- W4313531871 hasConceptScore W4313531871C135628077 @default.
- W4313531871 hasConceptScore W4313531871C182310444 @default.
- W4313531871 hasConceptScore W4313531871C184720557 @default.
- W4313531871 hasConceptScore W4313531871C185592680 @default.
- W4313531871 hasConceptScore W4313531871C190694206 @default.
- W4313531871 hasConceptScore W4313531871C2524010 @default.
- W4313531871 hasConceptScore W4313531871C28826006 @default.