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Quantitative Characterization of Stress Concentration in the Presence of Closely Spaced Hard Inclusions in Two-Dimensional Linear Elasticity

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Abstract

In the region between close-to-touching hard inclusions, stress may be arbitrarily large as the inclusions get closer. This stress is represented by the gradient of a solution to the Lamé system of linear elasticity. We consider the problem of characterizing the gradient blow-up of the solution in the narrow region between two inclusions and estimating its magnitude. We introduce singular functions which are constructed in terms of nuclei of strain and hence are solutions of the Lamé system, and then show that the singular behavior of the gradient in the narrow region can be precisely captured by singular functions. As a consequence of the characterization, we are able to regain the existing upper bound on the blow-up rate of the gradient, namely, ɛ−1/2 where ɛ is the distance between two inclusions. We then show that it is in fact an optimal bound by showing that there are cases where ɛ−1/2 is also a lower bound. This work is the first to completely reveal the singular nature of the gradient blow-up and to obtain the optimal blow-up rate in the context of the Lamé system with hard inclusions. The singular functions introduced in this paper play essential roles in overcoming the difficulties in applying the methods of previous works. The main tools of this paper are the layer potential techniques and the variational principle. The variational principle can be applied because the singular functions of this paper are solutions of the Lamé system.

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Correspondence to Sanghyeon Yu.

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Communicated by F. Otto

This work is supported by NRF 2016R1A2B4011304 and 2017R1A4A1014735.

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Kang, H., Yu, S. Quantitative Characterization of Stress Concentration in the Presence of Closely Spaced Hard Inclusions in Two-Dimensional Linear Elasticity. Arch Rational Mech Anal 232, 121–196 (2019). https://doi.org/10.1007/s00205-018-1318-1

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  • DOI: https://doi.org/10.1007/s00205-018-1318-1

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