Thermomagnetic susceptibility as a quick screening measure and quantification of pyrrhotite in concrete aggregates

This study investigates thermomagnetic analysis (TMA) as a rapid screening and quantification tool for detecting pyrrhotite polytypes in concrete aggregates with concentrations as low as 0.1% by weight. Pyrrhotite, particularly in its hexagonal (NC-type) and monoclinic (4C-type) forms, can cause expansive deterioration reactions in concrete when oxidized. Current quality assurance methods, such as differential thermal analysis, optical microscopy, and total sulfur measurement, lack the specificity and resolution to distinguish between pyrrhotite polytypes and concentrations, leading to either underestimation of the risk of not detecting potentially internal sulfate attack reactive aggregates and, on the contrary, to inflate the disposal rates of viable aggregate raw materials. Here, thermomagnetic analysis measures magnetic susceptibility changes across heating cycles to identify and quantify pyrrhotite polytypes based on their magnetic transitions. Pure NC- and 4C-type pyrrhotite reference samples were analyzed and used to develop a TMA quantification correlating magnetic susceptibility peaks with pyrrhotite concentration. Thermomagnetic analyses of crushed aggregates from Norway and North America were tested and compared with results from electron microprobe analysis and automated mineralogy. The proposed quantitative model for the estimation of the pyrrhotite concentration, using single-grain NC- and 4C-type pyrrhotite, describes a novel approach to calculate the pyrrhotite content by weight % in bulk samples. The findings demonstrate that thermomagnetic analysis effectively differentiates between pyrrhotite polytypes reliably and estimates their relative content within acceptable margins compared to automated mineralogy. Thermomagnetic analysis offers a fast, low-cost complement to current testing protocols. Therefore, adopting thermomagnetic analysis as a standard method could help to significantly improve material assessment accuracy, reduce unnecessary aggregate disposal, and mitigate ISA risks in concrete infrastructure. • Thermomagnetic susceptibility analysis is a reliable, sensitive method to detect pyrrhotite. • The Kappabridge can identify pyrrhotite concentrations as low as 0.1% by weight. • TMA offers a rapid and cost-effective protocol for detecting and quantifying NC- and 4C-type pyrrhotite. • Relative pyrrhotite concentrations can be calculated in weight % using the presented model.

Institutions

Publication Details

Journal
Construction and Building Materials
Published
2025-10-14
DOI
https://doi.org/10.1016/j.conbuildmat.2025.143748
Citations
1
Primary Topic
Geomagnetism and Paleomagnetism Studies
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermomagnetic susceptibility as a quick screening measure and quantification of pyrrhotite in concrete aggregates

1 citations
Construction and Building Materials
Geomagnetism and Paleomagnetism Studies
0.81
article

Thermomagnetic susceptibility as a quick screening measure and quantification of pyrrhotite in concrete aggregates

article en
1 citations

Abstract

This study investigates thermomagnetic analysis (TMA) as a rapid screening and quantification tool for detecting pyrrhotite polytypes in concrete aggregates with concentrations as low as 0.1% by weight. Pyrrhotite, particularly in its hexagonal (NC-type) and monoclinic (4C-type) forms, can cause expansive deterioration reactions in concrete when oxidized. Current quality assurance methods, such as differential thermal analysis, optical microscopy, and total sulfur measurement, lack the specificity and resolution to distinguish between pyrrhotite polytypes and concentrations, leading to either underestimation of the risk of not detecting potentially internal sulfate attack reactive aggregates and, on the contrary, to inflate the disposal rates of viable aggregate raw materials. Here, thermomagnetic analysis measures magnetic susceptibility changes across heating cycles to identify and quantify pyrrhotite polytypes based on their magnetic transitions. Pure NC- and 4C-type pyrrhotite reference samples were analyzed and used to develop a TMA quantification correlating magnetic susceptibility peaks with pyrrhotite concentration. Thermomagnetic analyses of crushed aggregates from Norway and North America were tested and compared with results from electron microprobe analysis and automated mineralogy. The proposed quantitative model for the estimation of the pyrrhotite concentration, using single-grain NC- and 4C-type pyrrhotite, describes a novel approach to calculate the pyrrhotite content by weight % in bulk samples. The findings demonstrate that thermomagnetic analysis effectively differentiates between pyrrhotite polytypes reliably and estimates their relative content within acceptable margins compared to automated mineralogy. Thermomagnetic analysis offers a fast, low-cost complement to current testing protocols. Therefore, adopting thermomagnetic analysis as a standard method could help to significantly improve material assessment accuracy, reduce unnecessary aggregate disposal, and mitigate ISA risks in concrete infrastructure. • Thermomagnetic susceptibility analysis is a reliable, sensitive method to detect pyrrhotite. • The Kappabridge can identify pyrrhotite concentrations as low as 0.1% by weight. • TMA offers a rapid and cost-effective protocol for detecting and quantifying NC- and 4C-type pyrrhotite. • Relative pyrrhotite concentrations can be calculated in weight % using the presented model.

Construction and Building MaterialsVol. 498
Geological Survey of Norway (NO), Norwegian Public Roads Administration (NO), Norwegian University of Science and Technology (NO)
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
Geomagnetism and Paleomagnetism Studies
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.