Proceedings of the 7th International Conference on Information Technology, Engineering, and Business Applications (ICIBA) and 3rd Social Science & Economic International Conference (SOSEIC 2024)

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Comparison of Models for Estimating Soil Particle Size Distribution Curves Based on Soil Texture Data

Authors
Riza April Nuruddin1, *, Alfrendo Satyanaga2, Nurly Gofar1
1Department of Civil Engineering, Graduate Program, Universitas Bina Darma, Palembang, Indonesia
2Department of Civil and Environmental Engineering, Nazarbayev University, Astana, Kazakhstan
*Corresponding author. Email: rizaaprilnuruddin@gmail.com
Corresponding Author
Riza April Nuruddin
Available Online 15 September 2025.
DOI
10.2991/978-2-38476-466-2_13How to use a DOI?
Keywords
mathematical models; particle size distribution; soil texture; statistical analysis
Abstract

This study aims to evaluate and compare the performance of six mathematical models in predicting soil particle size distribution (PSD) curves based on soil texture data. The models include the Fredlund, Weibull, Skaggs, Haverkamp, Zhongling Guo, and Rosin-Rammler equations. These models were used to fit the PSD of 15 clayey soil samples collected in South Sumatra Province. All soil samples are classified as CL according to USCS or A-6 according to AASHTO. The accuracy of each model was assessed using statistical criteria such as Sum of Squared Errors (SSE) and Root Mean Squared Error (RMSE). Results indicated that the Fredlund model provided the highest accuracy with the lowest RMSE value, making it the most suitable for the soil conditions in South Sumatra. In contrast, the Zhongling Guo model exhibited the highest RMSE, demonstrating the least accuracy among the models tested. Overall, the Fredlund model is recommended for applications involving soil particle size distribution analysis in this region.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 7th International Conference on Information Technology, Engineering, and Business Applications (ICIBA) and 3rd Social Science & Economic International Conference (SOSEIC 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 September 2025
ISBN
978-2-38476-466-2
ISSN
2352-5398
DOI
10.2991/978-2-38476-466-2_13How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Riza April Nuruddin
AU  - Alfrendo Satyanaga
AU  - Nurly Gofar
PY  - 2025
DA  - 2025/09/15
TI  - Comparison of Models for Estimating Soil Particle Size Distribution Curves Based on Soil Texture Data
BT  - Proceedings of the 7th International Conference on Information Technology, Engineering, and Business Applications (ICIBA) and 3rd Social Science & Economic International Conference (SOSEIC 2024)
PB  - Atlantis Press
SP  - 136
EP  - 146
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-466-2_13
DO  - 10.2991/978-2-38476-466-2_13
ID  - Nuruddin2025
ER  -