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Open AccessArticle
Optimization of All-Desert Sand Concrete Aggregate Based on Dinger–Funk Equation
by
Yong Huang
Yong Huang 1,2,
Rui Yu
Rui Yu 1,
Jian Sun
Jian Sun 2,3,4,*,
Yubin Liu
Yubin Liu 1,
Siyu Luo
Siyu Luo 5 and
Sining Li
Sining Li 2
1
School of Architecture and Engineering, Xinjiang University, Urumqi 830017, China
2
State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry, Xinjiang University, Urumqi 830017, China
3
Department of Automobile Road Construction and Maintenance, Kharkiv National Automobile and Highway University, Yaroslava Mudrovo Str., 25, 61002 Kharkiv, Ukraine
4
Faculty of Architect and Civil Engineering, Pavement Construction and Maintenance, University of Wuppertal, 42119 Wuppertal, Germany
5
School of Chemical Engineering, Xinjiang University, Urumqi 830017, China
*
Author to whom correspondence should be addressed.
Buildings 2024, 14(8), 2332; https://doi.org/10.3390/buildings14082332 (registering DOI)
Submission received: 5 June 2024
/
Revised: 22 July 2024
/
Accepted: 25 July 2024
/
Published: 27 July 2024
Abstract
In recent years, with the development of the construction industry and the wide application of concrete materials, the demand for natural resources such as sand and gravel in China has continued to grow. The Xinjiang region is rich in natural desert sand resources due to its large desert area, which are inexpensive and easy to obtain, providing new possibilities for the production of concrete materials. The use of natural desert sand as concrete aggregate not only reduces the cost of construction but also contributes to the protection of the environment and the rational development and utilization of natural resources. However, poor particle gradation in natural desert sand leads to poor concrete properties. In this study, the Dinger–Funk equation was used to optimize the aggregate gradation of natural desert sand from Toksun, Xinjiang, and concrete specimens were prepared for mechanical properties and sulfate erosion resistance tests. The test results show that the four groups of aggregates optimized by the Dinger–Funk equation are better than the single gradation and natural gradation in terms of apparent density, bulk density, void ratio, mechanical properties, and durability of concrete. Where the distribution modulus n = 0.3 was the best, the compressive strength, splitting strength, and flexural strength were increased by 13.14%, 15.71%, and 11.08%, respectively, as compared to the natural gradation. After 90 sulfate erosion and dry–wet cycles, the mass change rate and relative dynamic elastic modulus of concrete specimens first increased and then decreased, and at the distribution modulus n = 0.3, the aggregate particles of 0.3–0.6 mm, 0.6–1.18 mm, and 1.18–2.36 mm accounted for 26.98%, 32.33%, and 40.69%, respectively, and the smallest of the mass change rates of durability was the best.
Share and Cite
MDPI and ACS Style
Huang, Y.; Yu, R.; Sun, J.; Liu, Y.; Luo, S.; Li, S.
Optimization of All-Desert Sand Concrete Aggregate Based on Dinger–Funk Equation. Buildings 2024, 14, 2332.
https://doi.org/10.3390/buildings14082332
AMA Style
Huang Y, Yu R, Sun J, Liu Y, Luo S, Li S.
Optimization of All-Desert Sand Concrete Aggregate Based on Dinger–Funk Equation. Buildings. 2024; 14(8):2332.
https://doi.org/10.3390/buildings14082332
Chicago/Turabian Style
Huang, Yong, Rui Yu, Jian Sun, Yubin Liu, Siyu Luo, and Sining Li.
2024. "Optimization of All-Desert Sand Concrete Aggregate Based on Dinger–Funk Equation" Buildings 14, no. 8: 2332.
https://doi.org/10.3390/buildings14082332
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