Applying grid nanoindentation and maximum likelihood estimation for N-A-S-H gel in geopolymer paste: Investigation and discussion

Luo, Z; Li, W; Gan, Y; Mendu, K; Shah, SP

Applying grid nanoindentation and maximum likelihood estimation for N-A-S-H gel in geopolymer paste: Investigation and discussion

Luo, Z Li, W

Gan, Y Mendu, K Shah, SP

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Cement and Concrete Research, 2020, 135, pp. 106112-106112
Issue Date:: 2020-09-01

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Field	Value	Language
dc.contributor.author	Luo, Z
dc.contributor.author	Li, W https://orcid.org/0000-0002-4651-1215
dc.contributor.author	Gan, Y
dc.contributor.author	Mendu, K
dc.contributor.author	Shah, SP
dc.date.accessioned	2020-10-31T22:07:07Z
dc.date.available	2020-10-31T22:07:07Z
dc.date.issued	2020-09-01
dc.identifier.citation	Cement and Concrete Research, 2020, 135, pp. 106112-106112
dc.identifier.issn	0008-8846
dc.identifier.uri	http://hdl.handle.net/10453/143658
dc.description.abstract	© 2020 Elsevier Ltd Static nanoindentation and Maximum Likelihood Estimation (MLE) were applied for the nano/micromechanical properties investigation of alkali-activated fly ash (AAFA) in this study. Some critical issues of statistical nanoindentation were fully discussed, including properties of pure gel phase, influence of bin size when using least-square estimation (LSE), and suitable number of components for deconvolution. Results indicate that the model estimated by MLE method can effectively reflect the micromechanical distribution of AAFA. The number of components needed to separate sodium aluminosilicate hydrate (N-A-S-H) gels is sometimes more than the normally used 3 or 4, depending on the sample and testing factors. The gel phase does not always display as a prominent peak in the histogram and is easy to be mixed with other adjacent peaks even if the bin size is small, indicating the challenges of employing the LSE method to investigate the gel phase in highly heterogeneous materials, such as geopolymer.
dc.language	en
dc.publisher	Elsevier BV
dc.relation	http://purl.org/au-research/grants/arc/DE150101751
dc.relation.ispartof	Cement and Concrete Research
dc.relation.isbasedon	10.1016/j.cemconres.2020.106112
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0904 Chemical Engineering, 0905 Civil Engineering, 1202 Building
dc.subject.classification	Building & Construction
dc.title	Applying grid nanoindentation and maximum likelihood estimation for N-A-S-H gel in geopolymer paste: Investigation and discussion
dc.type	Journal Article
utslib.citation.volume	135
utslib.for	0904 Chemical Engineering
utslib.for	0905 Civil Engineering
utslib.for	1202 Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-10-31T22:06:41Z
pubs.publication-status	Published
pubs.volume	135

Abstract:

© 2020 Elsevier Ltd Static nanoindentation and Maximum Likelihood Estimation (MLE) were applied for the nano/micromechanical properties investigation of alkali-activated fly ash (AAFA) in this study. Some critical issues of statistical nanoindentation were fully discussed, including properties of pure gel phase, influence of bin size when using least-square estimation (LSE), and suitable number of components for deconvolution. Results indicate that the model estimated by MLE method can effectively reflect the micromechanical distribution of AAFA. The number of components needed to separate sodium aluminosilicate hydrate (N-A-S-H) gels is sometimes more than the normally used 3 or 4, depending on the sample and testing factors. The gel phase does not always display as a prominent peak in the histogram and is easy to be mixed with other adjacent peaks even if the bin size is small, indicating the challenges of employing the LSE method to investigate the gel phase in highly heterogeneous materials, such as geopolymer.

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http://hdl.handle.net/10453/143658