Prediction Model of Concrete Initial Setting Time Based on Stepwise Regression Analysis Article Swipe
Weijia Liu
,
Xujing Niu
,
Ning Yang
,
Yao-Shen Tan
,
Yu Qiao
,
Chun‐Feng Liu
,
Kun Ling Wu
,
Qingbin Li
,
Yu Hu
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/ma14123201
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/ma14123201
Mass concrete is usually poured in layers. To ensure the interlayer bonding quality of concrete, the lower layer should be kept in a plastic state before the upper layer is added. Ultimately, it will lead to the prediction of concrete setting time as a critical task in concrete pouring. In this experiment, the setting time of concrete in laboratory and field environments was investigated. The equivalent age of concrete at the initial setting was also analyzed based on the maturity theory. Meanwhile, factors affecting the setting time in the field environment were studied by means of multiple stepwise regression analysis. Besides, the interlayer splitting tensile strength of concrete subjected to different temperatures and wind speeds was determined. The results of laboratory tests show that both setting time and interlayer splitting tensile strength of concrete decrease significantly with the increase of air temperature and wind speed. In addition, the equivalent age of concrete at initial setting remains the same when subjected to different temperatures, while it decreases obviously with the increase of wind speed. In the field environment, the equivalent age of concrete at initial setting is greatly different, which is related to the variability of relative humidity and wind speed. The average air temperature and maximum wind speed are the main factors affecting the initial setting time of concrete. Furthermore, a prediction model is established based on the stepwise regression analysis results, which can predict the actual setting state in real-time, and hence controlling the interlayer bonding quality of dam concrete.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ma14123201
- https://www.mdpi.com/1996-1944/14/12/3201/pdf?version=1623320712
- OA Status
- gold
- Cited By
- 13
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3169443686
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3169443686Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ma14123201Digital Object Identifier
- Title
-
Prediction Model of Concrete Initial Setting Time Based on Stepwise Regression AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-06-10Full publication date if available
- Authors
-
Weijia Liu, Xujing Niu, Ning Yang, Yao-Shen Tan, Yu Qiao, Chun‐Feng Liu, Kun Ling Wu, Qingbin Li, Yu HuList of authors in order
- Landing page
-
https://doi.org/10.3390/ma14123201Publisher landing page
- PDF URL
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https://www.mdpi.com/1996-1944/14/12/3201/pdf?version=1623320712Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1996-1944/14/12/3201/pdf?version=1623320712Direct OA link when available
- Concepts
-
Wind speed, Relative humidity, Ultimate tensile strength, Structural engineering, Regression analysis, Environmental science, Durability, Stepwise regression, Materials science, Geotechnical engineering, Engineering, Meteorology, Statistics, Composite material, Mathematics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 3, 2023: 3, 2022: 2Per-year citation counts (last 5 years)
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26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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