Microstructural Data for Model Development and Validation

Livescu, Veronica; Bronkhorst, Curt A.; Bingert, J. F.

doi:10.1002/9781118990278.ch9

Cited by 2 publications

(2 citation statements)

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“…Thermal cycling, fatigue, and shock-wave loading, however, are mostly responsible for distributed fracture zones [27]. Thus, active processes in this work are identified, according to Figure 1 (b), with connected or unconnected sets of heterogeneous fractures Γ κ of interfacial elasticity K κ (ξ).…”

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confidence: 92%

Differential Tomography of Micromechanical Evolution in Elastic Materials of Unknown Micro/Macrostructure

Pourahmadian¹,

Haddar²

2020

SIAM J. Imaging Sci.

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Differential evolution indicators are introduced for 3D spatiotemporal imaging of micromechanical processes in complex materials where progressive variations due to manufacturing and/or aging are housed in a highly scattering background of a-priori unknown or uncertain structure. In this vein, a three-tier imaging platform is established where: (1) the domain is periodically (or continuously) subject to illumination and sensing in an arbitrary configuration; (2) sequential sets of measured data are deployed to distill segment-wise scattering signatures of the domain's internal structure through carefully constructed, non-iterative solutions to the scattering equation; and (3) the resulting solution sequence is then used to rigorously construct an imaging functional carrying appropriate invariance with respect to the unknown stationary components of the background e.g., pre-existing interstitial boundaries and bubbles. This gives birth to differential indicators that specifically recover the 3D support of micromechanical evolution within a network of unknown scatterers. The direct scattering problem is formulated in the frequency domain where the background is comprised of a random distribution of monolithic fragments. The constituents are connected via highly heterogeneous interfaces of unknown elasticity and dissipation which are subject to spatiotemporal evolution. The support of internal boundaries are sequentially illuminated by a set of incident waves and thusinduced scattered fields are captured over a generic observation surface. The performance of the proposed imaging indicator is illustrated through a set of numerical experiments for spatiotemporal reconstruction of progressive damage zones featuring randomly distributed cracks and bubbles.

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confidence: 92%

Differential Tomography of Micromechanical Evolution in Elastic Materials of Unknown Micro/Macrostructure

Pourahmadian¹,

Haddar²

2020

SIAM J. Imaging Sci.

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show abstract

“…Stress concentration, chemical reaction, and early-stage irradiation are common producers of interfacial damage at micro-and meso-scales [40,28]. Thermal cycling, fatigue, and shock-wave loading, however, are mostly responsible for distributed fracture zones [27]. Thus, active processes in this work are identified, according to Figure 1 (b), with connected or unconnected sets of heterogeneous fractures Γ κ of interfacial elasticity K κ (ξ).…”

mentioning

confidence: 94%