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Tobermorites; their real structure and order-disorder (OD) character
Abstract
The real structures of clinotobermorite, tobermorite 9 Å, and tobermorite 11 Å were determined through the application of OD approach, which allowed us to explain their peculiar disorder and polytypic features and to derive the main polytypes for each of them. The structural arrangements will be described and discussed for one polytype of each compound: clinotobermorite, triclinic polytype C1,a= 11.274, b = 7.344. c = 11.468 Å, α = 99.18°, β = 97.19°, γ = 90.03°; tobermorite 9 Å, triclinic polytype C1̅,a = 11.156, b = 7.303, c = 9.566 Å, α = 101.08°, β = 92.83°, γ = 89.98°; tobermorite 11 Å, monoclinic polytype B11m, a = 6.735, b = 7.385, c = 22.487 Å, γ = 123.25°. Common structural features are infinite layers, parallel to (001), formed by sevenfold-coordinated calcium polyhedra. Tetrahedral double chains, built up through condensation of “Dreiereinfachketten” of wollastonite- type and running along b, link together adjacent calcium layers in clinotobermorite and tobermorite 11 Å, whereas single tetrahedral chains connect adjacent calcium layers in tobermorite 9 Å. The relatively wide channels of clinotobermorite and tobermorite 11 Å host “zeolitic” calcium cations and water molecules. The present structural results now allow for a sound discussion of the crystal chemical relationships between the various members of the tobermorite group and an explanation of the peculiar thermal behavior of tobermorite 11 Å.
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Citations
Cited by
Richardson, I. G. (2004) · Cement and Concrete Research · doi:10.1016/j.cemconres.2004.05.034 · Cited by 1,082
Solubility and structure of calcium silicate hydrate
Chen, J. J., Thomas, J. J., Taylor, H. F. W., & Jennings, H. M. (2004) · Cement and Concrete Research · doi:10.1016/j.cemconres.2004.04.034 · Cited by 931
Myers, R. J., Bernal, S. A., San Nicolas, R., & Provis, J. L. (2013) · Langmuir · doi:10.1021/la4000473 · Cited by 579
The Crystal Structure of Tobermorite 14 Å (Plombierite), a C–S–H Phase
Bonaccorsi, E., Merlino, S., & Kampf, A. R. (2005) · Journal of the American Ceramic Society · doi:10.1111/j.1551-2916.2005.00116.x · Cited by 411
Self-citationMachine learning in concrete science: applications, challenges, and best practices
Li, Z., Yoon, J., Zhang, R., Rajabipour, F., Srubar III, W. V., Dabo, I., & Radlińska, A. (2022) · npj Computational Materials · doi:10.1038/s41524-022-00810-x · Cited by 388
Metadata
- Authors
- Merlino, S., Bonaccorsi, E., & Armbruster, T.
- Venue
- American Mineralogist
- Publisher
- Mineralogical Society of America
- Published
- 1999-10-01
- Volume
- 84
- Issue
- 10
- Pages
- 1613-1621
- ISSN
- 0003-004X (ISSN-L)
- OpenAlex
- W2292409167
- Cited by
- 286
- References
- 0
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- closed
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