2021
DOI: 10.1016/j.jfa.2021.109038
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Estimates and asymptotics for the stress concentration between closely spaced stiff C1, inclusions in linear elasticity

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Cited by 9 publications
(13 citation statements)
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“…Remark 1.2. The asymptotic expansion in Theorem 1.1 improves the corresponding results in [16] in terms of the following two aspects: first, the gradient estimates in Theorems 1.1 and 1.3 of [16] are improved to be a precise asymptotic formula here; second, we get rid of the symmetric assumptions on the domain and boundary data added in Theorem 1.5 of [16] and then obtain the asymptotic expression in Theorem 1.1 for the more generalized C 1,γ -inclusions.…”
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confidence: 70%
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“…Remark 1.2. The asymptotic expansion in Theorem 1.1 improves the corresponding results in [16] in terms of the following two aspects: first, the gradient estimates in Theorems 1.1 and 1.3 of [16] are improved to be a precise asymptotic formula here; second, we get rid of the symmetric assumptions on the domain and boundary data added in Theorem 1.5 of [16] and then obtain the asymptotic expression in Theorem 1.1 for the more generalized C 1,γ -inclusions.…”
supporting
confidence: 70%
“…Note that the smoothness of inclusions require for at least C 2,γ in the elasticity problem considered above. Recently, by taking advantage of the Campanato's approach and W 1,p estimates for elliptic systems with right hand side in divergence form, Chen and Li [16] developed an adapted version of the iterate technique to establish the upper and lower bound estimates on the gradient of a solution to the Lamé systems with partially infinity coefficients in the presence of two adjacent C 1,γ -inclusions. The results obtained in [16] comprise of the following two parts: on one hand, the upper bounds on the blow-up rate of the gradient are established in two and three dimensions and a lower bound is constructed in dimension two; on the other hand, an asymptotic expansion of the gradient is only derived under the condition of the symmetric C 1,γ -inclusions and the boundary data of odd function type.…”
Section: Introduction and Principal Resultsmentioning
confidence: 99%
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