FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2116985666> ?p ?o ?g. }

• W2116985666 endingPage "G299" @default.
• W2116985666 startingPage "G291" @default.
• W2116985666 abstract "Existing numerical modeling techniques commonly used for electromagnetic (EM) exploration are bound by the limitations of approximating complex structures using a rectangular grid. A more flexible tool is the adaptive finite-element (FE) method using unstructured grids. Composed of irregular triangles, an unstructured grid can readily conform to complicated structural boundaries. To ensure numerical accuracy, adaptive refinement using an a posteriori error estimator is performed iteratively to refine the grid where solution accuracy is insufficient. Two recently developed asymptotically exact a posteriori error estimators are based on a superconvergent gradient recovery operator. The first relies solely on the normed difference between the recovered gradients and the piecewise constant FE gradients and is effective for lowering the global error in the FE solution. For many problems, an accurate solution is required only in a few discreteregions and a more efficient error estimator is possible by considering the local influence of errors from coarse elements elsewhere in the grid. The second error estimator accomplishes this by using weights determined from the solution to an appropriate dual problem to modify the first error estimator. Application of these methods for 2D magnetotelluric (MT) modeling reveals, as expected, that the dual weighted error estimator is far more efficient in achieving accurate MT responses. Refining about 15% of elements per iteration gives the fastest convergence rate. For a given refined grid, the solution error at higher frequencies varies in proportion to the skin depth, requiring refinement about every two decades of frequency. The transverse electric (TE) and transverse magnetic (TM) modes exhibit different field behavior, and refinement should consider the effects of both. An example resistivity model of seafloor bathymetry underlain by complex salt intrusions and dipping and faulted sedimentary layers illustrates the benefits of this new technique." @default.
• W2116985666 created "2016-06-24" @default.
• W2116985666 creator A5011613668 @default.
• W2116985666 creator A5018486887 @default.
• W2116985666 date "2006-11-01" @default.
• W2116985666 modified "2023-10-18" @default.
• W2116985666 title "Adaptive finite-element modeling using unstructured grids: The 2D magnetotelluric example" @default.
• W2116985666 cites W1964897452 @default.
• W2116985666 cites W1968735454 @default.
• W2116985666 cites W1983126414 @default.
• W2116985666 cites W1997979142 @default.
• W2116985666 cites W1998059146 @default.
• W2116985666 cites W2002340962 @default.
• W2116985666 cites W2023965747 @default.
• W2116985666 cites W2030588767 @default.
• W2116985666 cites W2048248082 @default.
• W2116985666 cites W2088116381 @default.
• W2116985666 cites W2106650207 @default.
• W2116985666 cites W2112262385 @default.
• W2116985666 cites W2125524683 @default.
• W2116985666 cites W2128274957 @default.
• W2116985666 cites W2129412583 @default.
• W2116985666 cites W2133454905 @default.
• W2116985666 cites W2135301926 @default.
• W2116985666 cites W2144559010 @default.
• W2116985666 cites W2151069945 @default.
• W2116985666 cites W2154870155 @default.
• W2116985666 cites W2167592707 @default.
• W2116985666 cites W2497045146 @default.
• W2116985666 cites W2498959060 @default.
• W2116985666 cites W2505585705 @default.
• W2116985666 cites W4211215503 @default.
• W2116985666 doi "https://doi.org/10.1190/1.2348091" @default.
• W2116985666 hasPublicationYear "2006" @default.
• W2116985666 type Work @default.
• W2116985666 sameAs 2116985666 @default.
• W2116985666 citedByCount "121" @default.
• W2116985666 countsByYear W21169856662012 @default.
• W2116985666 countsByYear W21169856662013 @default.
• W2116985666 countsByYear W21169856662014 @default.
• W2116985666 countsByYear W21169856662015 @default.
• W2116985666 countsByYear W21169856662016 @default.
• W2116985666 countsByYear W21169856662017 @default.
• W2116985666 countsByYear W21169856662018 @default.
• W2116985666 countsByYear W21169856662019 @default.
• W2116985666 countsByYear W21169856662020 @default.
• W2116985666 countsByYear W21169856662021 @default.
• W2116985666 countsByYear W21169856662022 @default.
• W2116985666 countsByYear W21169856662023 @default.
• W2116985666 crossrefType "journal-article" @default.
• W2116985666 hasAuthorship W2116985666A5011613668 @default.
• W2116985666 hasAuthorship W2116985666A5018486887 @default.
• W2116985666 hasConcept C105795698 @default.
• W2116985666 hasConcept C111472728 @default.
• W2116985666 hasConcept C112313211 @default.
• W2116985666 hasConcept C11413529 @default.
• W2116985666 hasConcept C119599485 @default.
• W2116985666 hasConcept C121332964 @default.
• W2116985666 hasConcept C126255220 @default.
• W2116985666 hasConcept C127413603 @default.
• W2116985666 hasConcept C131053463 @default.
• W2116985666 hasConcept C134306372 @default.
• W2116985666 hasConcept C135628077 @default.
• W2116985666 hasConcept C138885662 @default.
• W2116985666 hasConcept C164660894 @default.
• W2116985666 hasConcept C185429906 @default.
• W2116985666 hasConcept C187691185 @default.
• W2116985666 hasConcept C2524010 @default.
• W2116985666 hasConcept C28826006 @default.
• W2116985666 hasConcept C33923547 @default.
• W2116985666 hasConcept C41008148 @default.
• W2116985666 hasConcept C459310 @default.
• W2116985666 hasConcept C69990965 @default.
• W2116985666 hasConcept C75553542 @default.
• W2116985666 hasConcept C83295009 @default.
• W2116985666 hasConcept C97355855 @default.
• W2116985666 hasConceptScore W2116985666C105795698 @default.
• W2116985666 hasConceptScore W2116985666C111472728 @default.
• W2116985666 hasConceptScore W2116985666C112313211 @default.
• W2116985666 hasConceptScore W2116985666C11413529 @default.
• W2116985666 hasConceptScore W2116985666C119599485 @default.
• W2116985666 hasConceptScore W2116985666C121332964 @default.
• W2116985666 hasConceptScore W2116985666C126255220 @default.
• W2116985666 hasConceptScore W2116985666C127413603 @default.
• W2116985666 hasConceptScore W2116985666C131053463 @default.
• W2116985666 hasConceptScore W2116985666C134306372 @default.
• W2116985666 hasConceptScore W2116985666C135628077 @default.
• W2116985666 hasConceptScore W2116985666C138885662 @default.
• W2116985666 hasConceptScore W2116985666C164660894 @default.
• W2116985666 hasConceptScore W2116985666C185429906 @default.
• W2116985666 hasConceptScore W2116985666C187691185 @default.
• W2116985666 hasConceptScore W2116985666C2524010 @default.
• W2116985666 hasConceptScore W2116985666C28826006 @default.
• W2116985666 hasConceptScore W2116985666C33923547 @default.
• W2116985666 hasConceptScore W2116985666C41008148 @default.
• W2116985666 hasConceptScore W2116985666C459310 @default.
• W2116985666 hasConceptScore W2116985666C69990965 @default.
• W2116985666 hasConceptScore W2116985666C75553542 @default.

• next