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Field
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can characterize fatigue properties of materials at very high throughput. This approach significantly accelerates fatigue testing and enables the rapid identification of promising fatigue-resistant
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RAP opportunity at National Institute of Standards and Technology NIST Fatigue and Fracture of Metallic Materials Processed via Additive Manufacturing Location Material Measurement Laboratory
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of the fatigue behavior of composite materials and/or polymers, and is able to develop and implement constitutive models in FE software. Development of a Structural Health Monitoring system The ability to estimate
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aimed at stress relaxation in fatigue-prone areas, minimizing material consumption and maximizing structural efficiency. The diagnostic and prognostic capabilities of the developed framework can be
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are looking for a colleague who has experience in mechanical experimentation of the fatigue behavior of composite materials and/or polymers, and is able to develop and implement constitutive models in FE
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for a colleague who has experience in mechanical experimentation of the fatigue behavior of composite materials and/or polymers, and is able to develop and implement constitutive models in FE software
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Research Associate (Materials Science & Engineering / Mechanical Engineering / Chemical Engineering)
related technical field. Extensive hands-on experience with advanced material characterization techniques (e.g., SEM, EBSD, XRD, optical microscopy) and mechanical testing equipment (e.g., tensile, fatigue
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of long-term material performance. The researcher will collaborate with industrial and academic partners on specimen fabrication, fatigue testing, and computational modelling. The expected outcome is a
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 20 days ago
characterization data to predictions of mechanical behavior, damage evolution, and fatigue performance in these materials. Quantitative validation of these computational tools is of particular interest to support
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aimed at stress relaxation in fatigue-prone areas, minimizing material consumption and maximizing structural efficiency. The diagnostic and prognostic capabilities of the developed framework can be