Modified value stabilization methodology (MVSM) to efficiently determine the sample size required for particle morphology quantification

Karim Kootahi; Anthony Kwan Leung; Yu Wang

doi:10.1016/j.powtec.2023.118396

Modified value stabilization methodology (MVSM) to efficiently determine the sample size required for particle morphology quantification

Karim Kootahi, Anthony Kwan Leung^*, Yu Wang

^*Corresponding author for this work

Department of Architecture and Civil Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

5 Citations (Scopus)

Abstract

Selection of the representative sample size (RSS) to be imaged and analyzed to adequately represent the material of interest is the first and crucial step in morphology characterization of granular materials. Although the most widely-used method of value stabilization methodology (VSM) is a fast and straightforward method to determine an RSS that has a highly similar mean value (MV) to its population, it suffers from several drawbacks. In this study, a modified VSM (MVSM) is proposed which can be used to systematically and efficiently determine reliable estimates of RSS. The sensitivity of the proposed MVSM to potentially affecting factors is investigated through a sensitivity analysis. The MVSM is also applied to real CT scanning and DIA data of four standard sands that have a wide range of angularity. The analyses showed that the proposed method can ensure significantly high similarity between the MVs of an RSS and its population. © 2023 Elsevier B.V. All rights reserved.

Original language	English
Article number	118396
Journal	Powder Technology
Volume	420
Online published	6 Mar 2023
DOIs	https://doi.org/10.1016/j.powtec.2023.118396
Publication status	Published - 15 Apr 2023

Funding

This work was supported by the General Research Fund #C6006-20G and #16207521 funded by the Hong Kong Research Grant Council and grant no. 51922112 provided by the National Natural Science Foundation of China.

Research Keywords

Particle morphology characterization
Granular materials
Representative sample size
QUANTITATIVE CHARACTERIZATION
IMAGE-ANALYSIS
SHAPE
SPHERICITY
ROUNDNESS
DENSITY
AGGREGATE
STRENGTH

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title = "Modified value stabilization methodology (MVSM) to efficiently determine the sample size required for particle morphology quantification",

abstract = "Selection of the representative sample size (RSS) to be imaged and analyzed to adequately represent the material of interest is the first and crucial step in morphology characterization of granular materials. Although the most widely-used method of value stabilization methodology (VSM) is a fast and straightforward method to determine an RSS that has a highly similar mean value (MV) to its population, it suffers from several drawbacks. In this study, a modified VSM (MVSM) is proposed which can be used to systematically and efficiently determine reliable estimates of RSS. The sensitivity of the proposed MVSM to potentially affecting factors is investigated through a sensitivity analysis. The MVSM is also applied to real CT scanning and DIA data of four standard sands that have a wide range of angularity. The analyses showed that the proposed method can ensure significantly high similarity between the MVs of an RSS and its population. {\textcopyright} 2023 Elsevier B.V. All rights reserved.",

keywords = "Particle morphology characterization, Granular materials, Representative sample size, QUANTITATIVE CHARACTERIZATION, IMAGE-ANALYSIS, SHAPE, SPHERICITY, ROUNDNESS, DENSITY, AGGREGATE, STRENGTH",

author = "Karim Kootahi and Leung, {Anthony Kwan} and Yu Wang",

year = "2023",

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journal = "Powder Technology",

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T1 - Modified value stabilization methodology (MVSM) to efficiently determine the sample size required for particle morphology quantification

AU - Kootahi, Karim

AU - Leung, Anthony Kwan

AU - Wang, Yu

PY - 2023/4/15

Y1 - 2023/4/15

N2 - Selection of the representative sample size (RSS) to be imaged and analyzed to adequately represent the material of interest is the first and crucial step in morphology characterization of granular materials. Although the most widely-used method of value stabilization methodology (VSM) is a fast and straightforward method to determine an RSS that has a highly similar mean value (MV) to its population, it suffers from several drawbacks. In this study, a modified VSM (MVSM) is proposed which can be used to systematically and efficiently determine reliable estimates of RSS. The sensitivity of the proposed MVSM to potentially affecting factors is investigated through a sensitivity analysis. The MVSM is also applied to real CT scanning and DIA data of four standard sands that have a wide range of angularity. The analyses showed that the proposed method can ensure significantly high similarity between the MVs of an RSS and its population. © 2023 Elsevier B.V. All rights reserved.

AB - Selection of the representative sample size (RSS) to be imaged and analyzed to adequately represent the material of interest is the first and crucial step in morphology characterization of granular materials. Although the most widely-used method of value stabilization methodology (VSM) is a fast and straightforward method to determine an RSS that has a highly similar mean value (MV) to its population, it suffers from several drawbacks. In this study, a modified VSM (MVSM) is proposed which can be used to systematically and efficiently determine reliable estimates of RSS. The sensitivity of the proposed MVSM to potentially affecting factors is investigated through a sensitivity analysis. The MVSM is also applied to real CT scanning and DIA data of four standard sands that have a wide range of angularity. The analyses showed that the proposed method can ensure significantly high similarity between the MVs of an RSS and its population. © 2023 Elsevier B.V. All rights reserved.

KW - Particle morphology characterization

KW - Granular materials

KW - Representative sample size

KW - QUANTITATIVE CHARACTERIZATION

KW - IMAGE-ANALYSIS

KW - SHAPE

KW - SPHERICITY

KW - ROUNDNESS

KW - DENSITY

KW - AGGREGATE

KW - STRENGTH

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DO - 10.1016/j.powtec.2023.118396

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SN - 0032-5910

VL - 420

JO - Powder Technology

JF - Powder Technology

M1 - 118396

ER -

Modified value stabilization methodology (MVSM) to efficiently determine the sample size required for particle morphology quantification

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Modified value stabilization methodology (MVSM) to efficiently determine the sample size required for particle morphology quantification

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CRF-ExtU-Lead: Engineering a Safer Urban Forest under Extreme Storms

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