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X-Ray Tomographic Microscopy (XTM) Using Synchrotron Radiation
Abstract
The response of a material to an applied load is inherently three-dimen sional. Heterogeneous networks of second phases, reinforcing particles, and fibers act to redistribute applied loads into complex, three-dimensional distributions of stresses and strains. Mechanical properties measurements, however, traditionally rely upon oneand two-dimensional analytical tech niques to explain what are, in reality, three-dimensional responses. A load displacement curve is an example of a one-dimensional measurement, which is often used to measure global deformation in a sample, and to infer micro mechanical mechanisms that might be operating during deformation. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) are examples of essentially two-dimensional techniques that can be used to provide evidence for the origin of failure and whether
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Cited by
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Wildenschild, D., & Sheppard, A. P. (2013) · Advances in Water Resources · doi:10.1016/j.advwatres.2012.07.018 · Cited by 1,239
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Landis, E. N., & Keane, D. T. (2010) · Materials Characterization · doi:10.1016/j.matchar.2010.09.012 · Cited by 608
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Metadata
- Authors
- Kinney, J. H., & Nichols, M. C.
- Venue
- Annual Review of Materials Science
- Publisher
- Annual Reviews
- Published
- 1992-08
- Volume
- 22
- Issue
- 1
- Pages
- 121-152
- ISSN
- 0084-6600 (ISSN-L)
- OpenAlex
- W2181108849
- Cited by
- 245
- References
- 0
- FWCI
- 8.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: X-Ray Tomographic Microscopy (XTM) Using Synchrotron Radiation. https://app.cochat.ai/papers/10.1146/annurev.ms.22.080192.001005
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- Kinney, J. H., & Nichols, M. C. (1992). X-Ray Tomographic Microscopy (XTM) Using Synchrotron Radiation. Annual Review of Materials Science. https://doi.org/10.1146/annurev.ms.22.080192.001005
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.