Scale-dependent <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si216.svg" display="inline" id="d1e556"> <mml:msub> <mml:mrow> <mml:mi>K</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>I</mml:mi> <mml:mi>I</mml:mi> <mml:mi>I</mml:mi> </mml:m

We study the stress field near a crack tip in a random heterogeneous domain under remote anti-plane loading using tensor-valued random fields (TRFs). Specifically, we investigate interpenetrating phase composites (IPCs) and generate micromechanically consistent, statistically homogeneous and isotropic stiffness and compliance TRFs that capture the full spatial correlation structure. We focus on the mode III stress intensity factor ( K I I I ), which depends on the mesoscale size δ , phase contrast k , and the specific realization of the material microstructure. For stiffness TRFs, the distribution of K I I I is approximately Gaussian with a mean exceeding the homogeneous value; the probability of exceedance is greater than 0.5, while the variance increases with k while decreasing with increasing δ . For compliance TRFs, the K I I I distribution is positively skewed, yielding a more conservative response. Taken together, the stiffness- and compliance-based stochastic boundary value problems bound the true mechanical response and provide a practical range for estimating failure probabilities. These results demonstrate that mesoscale variability and phase contrast influence both the mean and scatter of K I I I , underscoring the limitations of homogenized medium assumptions for fracture assessment.

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Publication Details

Journal
Probabilistic Engineering Mechanics
Published
2025-10-01
DOI
https://doi.org/10.1016/j.probengmech.2025.103859
Primary Topic
Composite Material Mechanics
Type
article
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Scale-dependent <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si216.svg" display="inline" id="d1e556"> <mml:msub> <mml:mrow> <mml:mi>K</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>I</mml:mi> <mml:mi>I</mml:mi> <mml:mi>I</mml:mi> </mml:m

Yaswanth Sai Jetti, Martin Ostoja‐Starzewski
Probabilistic Engineering Mechanics
Composite Material Mechanics
article

Scale-dependent <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si216.svg" display="inline" id="d1e556"> <mml:msub> <mml:mrow> <mml:mi>K</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>I</mml:mi> <mml:mi>I</mml:mi> <mml:mi>I</mml:mi> </mml:m

Yaswanth Sai Jetti, Martin Ostoja‐Starzewski
article en

Abstract

We study the stress field near a crack tip in a random heterogeneous domain under remote anti-plane loading using tensor-valued random fields (TRFs). Specifically, we investigate interpenetrating phase composites (IPCs) and generate micromechanically consistent, statistically homogeneous and isotropic stiffness and compliance TRFs that capture the full spatial correlation structure. We focus on the mode III stress intensity factor ( K I I I ), which depends on the mesoscale size δ , phase contrast k , and the specific realization of the material microstructure. For stiffness TRFs, the distribution of K I I I is approximately Gaussian with a mean exceeding the homogeneous value; the probability of exceedance is greater than 0.5, while the variance increases with k while decreasing with increasing δ . For compliance TRFs, the K I I I distribution is positively skewed, yielding a more conservative response. Taken together, the stiffness- and compliance-based stochastic boundary value problems bound the true mechanical response and provide a practical range for estimating failure probabilities. These results demonstrate that mesoscale variability and phase contrast influence both the mean and scatter of K I I I , underscoring the limitations of homogenized medium assumptions for fracture assessment.

Probabilistic Engineering MechanicsVol. 82
University of Illinois Urbana-Champaign (US)
Openalex Percentile: Top 62%
Composite Material Mechanics
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Scale-dependent <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si216.svg" display="inline" id="d1e556"> <mml:msub> <mml:mrow> <mml:mi>K</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>I</mml:mi> <mml:mi>I</mml:mi> <mml:mi>I</mml:mi> </mml:m — Yaswanth Sai Jetti, Martin Ostoja‐Starzewski · Probabilistic Engineering Mechanics (2025) | TGRS Research Map | TGRS