Applying Chemometrics to Evaluate Mine Tailings’ Potential As Partial Cement Replacement

Anne Mette T. Simonsen; Kristine B. Pedersen; Pernille E. Jensen

doi:10.18502/keg.v5i4.6808

Applying Chemometrics to Evaluate Mine Tailings’ Potential As Partial Cement Replacement

Anne Mette T. Simonsen, Kristine B. Pedersen, Pernille E. Jensen

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Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This study investigates the utilization of mine tailings, the by-product originating from metal- and mineral-based ore mining, as a new cement replacement material. This paper is based on the chemical and physical characteristics of 13 mine tailing samples. In this study, Chemometrics were applied to consider all parameters simultaneously and obtain a thorough screening of potential relations in the large data set. Hierarchical Cluster Analysis (HCA) groups samples according to (dis)similar features and Principal Component Analysis (PCA) visualizes predominating variables and relations to samples. The application of HCA highlighted a clear grouping between mine tailings according to characteristics. Meanwhile, PCA identified the predominant chemical and physical characteristics in the mine tailing samples. Chemometrics therefore provided a thorough overview of mine tailings’ physical and chemical characteristics.

Original language	English
Title of host publication	RICON19 : REMINE International Conference on Valorization of mining and industrial wastes into construction materials by alkali-activation
Volume	2020
Publisher	KnE Publishing
Publication date	2020
Pages	178-187
DOIs	https://doi.org/10.18502/keg.v5i4.6808
Publication status	Published - 2020
Event	RICON19: Remining International Conference - University of Beira Interior, Covilha, Portugal Duration: 11 Dec 2019 → 13 Dec 2019 https://www.ubi.pt/Entidade/ricon19

Conference

Conference	RICON19
Location	University of Beira Interior
Country/Territory	Portugal
City	Covilha
Period	11/12/2019 → 13/12/2019
Internet address	https://www.ubi.pt/Entidade/ricon19

Series	Kne Engineering
ISSN	2518-6841

Keywords

Mine tailings
Chemometrics
Cement replacement

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T. Simonsen, A. M., B. Pedersen, K., & Jensen, P. E. (2020). Applying Chemometrics to Evaluate Mine Tailings’ Potential As Partial Cement Replacement. In RICON19 : REMINE International Conference on Valorization of mining and industrial wastes into construction materials by alkali-activation (Vol. 2020, pp. 178-187). KnE Publishing. Kne Engineering https://doi.org/10.18502/keg.v5i4.6808

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abstract = "This study investigates the utilization of mine tailings, the by-product originating from metal- and mineral-based ore mining, as a new cement replacement material. This paper is based on the chemical and physical characteristics of 13 mine tailing samples. In this study, Chemometrics were applied to consider all parameters simultaneously and obtain a thorough screening of potential relations in the large data set. Hierarchical Cluster Analysis (HCA) groups samples according to (dis)similar features and Principal Component Analysis (PCA) visualizes predominating variables and relations to samples. The application of HCA highlighted a clear grouping between mine tailings according to characteristics. Meanwhile, PCA identified the predominant chemical and physical characteristics in the mine tailing samples. Chemometrics therefore provided a thorough overview of mine tailings{\textquoteright} physical and chemical characteristics.",

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language = "English",

volume = "2020",

series = "Kne Engineering",

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booktitle = "RICON19",

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T. Simonsen, AM, B. Pedersen, K & Jensen, PE 2020, Applying Chemometrics to Evaluate Mine Tailings’ Potential As Partial Cement Replacement. in RICON19 : REMINE International Conference on Valorization of mining and industrial wastes into construction materials by alkali-activation. vol. 2020, KnE Publishing, Kne Engineering, pp. 178-187, RICON19, Covilha, Portugal, 11/12/2019. https://doi.org/10.18502/keg.v5i4.6808

Applying Chemometrics to Evaluate Mine Tailings’ Potential As Partial Cement Replacement. / T. Simonsen, Anne Mette; B. Pedersen, Kristine; Jensen, Pernille E.
RICON19 : REMINE International Conference on Valorization of mining and industrial wastes into construction materials by alkali-activation. Vol. 2020 KnE Publishing, 2020. p. 178-187 (Kne Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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T1 - Applying Chemometrics to Evaluate Mine Tailings’ Potential As Partial Cement Replacement

AU - T. Simonsen, Anne Mette

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AU - Jensen, Pernille E.

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N2 - This study investigates the utilization of mine tailings, the by-product originating from metal- and mineral-based ore mining, as a new cement replacement material. This paper is based on the chemical and physical characteristics of 13 mine tailing samples. In this study, Chemometrics were applied to consider all parameters simultaneously and obtain a thorough screening of potential relations in the large data set. Hierarchical Cluster Analysis (HCA) groups samples according to (dis)similar features and Principal Component Analysis (PCA) visualizes predominating variables and relations to samples. The application of HCA highlighted a clear grouping between mine tailings according to characteristics. Meanwhile, PCA identified the predominant chemical and physical characteristics in the mine tailing samples. Chemometrics therefore provided a thorough overview of mine tailings’ physical and chemical characteristics.

AB - This study investigates the utilization of mine tailings, the by-product originating from metal- and mineral-based ore mining, as a new cement replacement material. This paper is based on the chemical and physical characteristics of 13 mine tailing samples. In this study, Chemometrics were applied to consider all parameters simultaneously and obtain a thorough screening of potential relations in the large data set. Hierarchical Cluster Analysis (HCA) groups samples according to (dis)similar features and Principal Component Analysis (PCA) visualizes predominating variables and relations to samples. The application of HCA highlighted a clear grouping between mine tailings according to characteristics. Meanwhile, PCA identified the predominant chemical and physical characteristics in the mine tailing samples. Chemometrics therefore provided a thorough overview of mine tailings’ physical and chemical characteristics.

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KW - Chemometrics

KW - Cement replacement

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DO - 10.18502/keg.v5i4.6808

M3 - Article in proceedings

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BT - RICON19

PB - KnE Publishing

T2 - RICON19

Y2 - 11 December 2019 through 13 December 2019

ER -

Applying Chemometrics to Evaluate Mine Tailings’ Potential As Partial Cement Replacement

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