2016
DOI: 10.1007/s00205-016-1059-y
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Integral Representation for Functionals Defined on SBDp in Dimension Two

Abstract: We prove an integral representation result for functionals with growth conditions which give coercivity on the spaceThe space SBD p of functions whose distributional strain is the sum of an L p part and a bounded measure supported on a set of finite H 1 -dimensional measure appears naturally in the study of fracture and damage models. Our result is based on the construction of a local approximation by W 1,p functions. We also obtain a generalization of Korn's inequality in the SBD p setting.

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Cited by 43 publications
(95 citation statements)
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“…However, our primary purpose comes from the study of free-discontinuity problems defined on the space GSBD p , see [38], which has obtained steadily increasing attention over the last years, cf., e.g., [30,31,32,33,34,35,46,47,48,50]. We have indeed already mentioned before how the analysis of partition problems has proved to be a relevant tool in the study of freediscontinuity problems on SBV .…”
Section: Introductionmentioning
confidence: 94%
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“…However, our primary purpose comes from the study of free-discontinuity problems defined on the space GSBD p , see [38], which has obtained steadily increasing attention over the last years, cf., e.g., [30,31,32,33,34,35,46,47,48,50]. We have indeed already mentioned before how the analysis of partition problems has proved to be a relevant tool in the study of freediscontinuity problems on SBV .…”
Section: Introductionmentioning
confidence: 94%
“…We remark that (H 1 )-(H 3 ) are standard assumptions, see [6,17,20,24,35]. In these results, the growth condition in (H 4 ) is replaced by one of the form´J u (1 + |[u]|) dH d−1 from below and above.…”
Section: Functionalsmentioning
confidence: 99%
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“…Hence in a second step, we shall further introduce "boundary good cubes". On these we can clean up the jump before mollification using a construction due to [16], which we only know to hold true in dimension 2. The details are found in Subsection 3.2.…”
Section: A General Proof In Dimensionmentioning
confidence: 99%