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  <title><![CDATA[PhD Defense by Adrienne Muth]]></title>
  <body><![CDATA[<p><a name="_Hlk64318204"><strong>THE SCHOOL OF MATERIALS SCIENCE AND ENGINEERING<br />
<br />
GEORGIA INSTITUTE OF TECHNOLOGY<br />
<br />
Under the provisions of the regulations for the degree<br />
<br />
DOCTOR OF PHILOSOPHY<br />
<br />
on Friday, April 9, 2021<br />
12:00 PM</strong></a>&nbsp;</p>

<p><strong>via</strong>&nbsp;</p>

<p>&nbsp;&nbsp;</p>

<p><strong>BlueJeans Video Conferencing</strong>&nbsp;</p>

<p><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbluejeans.com%2F396605134&amp;data=04%7C01%7Ctatianna.richardson%40grad.gatech.edu%7C7da07f8b00824032582008d8f2c86e67%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637526289950239676%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=%2F3kBNjG%2FcL0sVhrzlW4KjlAb9eezeRwqEQ9yMZ8vraA%3D&amp;reserved=0" title="Original URL:
https://bluejeans.com/396605134

Click to follow link.">https://bluejeans.com/396605134</a></p>

<p><br />
<strong>will be held the<br />
<br />
DISSERTATION&nbsp;DEFENSE</strong></p>

<p><br />
<strong>for</strong></p>

<p><br />
<strong>Adrienne Muth<br />
<br />
&quot;A Large Scale Computational Study of Fatigue Hot-spots&quot;<br />
<br />
Committee Members:</strong>&nbsp;</p>

<p>&nbsp;</p>

<p><strong>Prof. David McDowell Advisor, ME/MSE</strong></p>

<p><strong>Prof. Surya Kalidindi ME/MSE/CSE</strong></p>

<p><strong>Prof. Richard Neu ME/MSE</strong></p>

<p><strong>Reji John, Ph.D., AF Research Lab, Materials and Manufacturing Directorate</strong></p>

<p><strong>Adam Pilchak, Ph.D., AF Research Lab, Materials and Manufacturing Directorate</strong></p>

<p><br />
<strong>Abstract:</strong>&nbsp;</p>

<p>&nbsp;</p>

<p>Formation of a fatigue crack at the subgrain scale is a statistically rare event, as plastic deformation at the microscale ranges from highly heterogeneous at low strain to homogeneous at high strain. Fatigue Indicator Parameters (FIPs) for Ti-6Al-4V are computed using crystal plasticity finite element modeling of uniaxial cyclic straining of ensembles of statistical volume elements for a range of distinct microstructures at several strain amplitudes and mean strain conditions.&nbsp; The selection of FIPs is informed by prior experimental studies. The sites of extreme value (EV) FIPs that are most likely to form and grow a fatigue crack are identified in these simulations, and 2-point spatial correlations are applied to investigate the higher dimensional influence of microstructure attributes in the neighborhood of these fatigue hot-spots. To reduce the high dimensionality of the associated 2-point correlations, principal component analysis is applied.&nbsp; A reduced-order model using an artificial neural network is used to classify EV FIP locations based on these neighborhood spatial correlations.</p>
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