Literature DB >> 12938114

Development, principles, and applications of automated ice fabric analyzers.

L A Wilen1, C L Diprinzio, R B Alley, N Azuma.   

Abstract

We review the recent development of automated techniques to determine the fabric and texture of polycrystalline ice. The motivation for the study of ice fabric is first outlined. After a brief introduction to the relevant optical concepts, the classic manual technique for fabric measurement is described, along with early attempts at partial automation. Then, the general principles behind fully automated techniques are discussed. We describe in some detail the similarities and differences of the three modern instruments recently developed for ice fabric studies. Next, we discuss briefly X-ray, radar, and acoustic techniques for ice fabric characterization. We also discuss the principles behind automated optical techniques to measure fabric in quartz rock samples. Finally, examples of new applications that have been facilitated by the development of the ice fabric instruments are presented. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12938114     DOI: 10.1002/jemt.10380

Source DB:  PubMed          Journal:  Microsc Res Tech        ISSN: 1059-910X            Impact factor:   2.769


  3 in total

1.  Microstructural characterization of snow, firn and ice.

Authors:  Ian Baker
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-06-03       Impact factor: 4.226

2.  Stress accumulation by confined ice in a temperature gradient.

Authors:  Dominic Gerber; Lawrence A Wilen; Florian Poydenot; Eric R Dufresne; Robert W Style
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-29       Impact factor: 12.779

3.  Physical analysis of an Antarctic ice core-towards an integration of micro- and macrodynamics of polar ice.

Authors:  Ilka Weikusat; Daniela Jansen; Tobias Binder; Jan Eichler; Sérgio H Faria; Frank Wilhelms; Sepp Kipfstuhl; Simon Sheldon; Heinrich Miller; Dorthe Dahl-Jensen; Thomas Kleiner
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-02-13       Impact factor: 4.226

  3 in total

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