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Experimental based assessment of formwork pressure theoretical design models for self-compacting concrete
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.ORCID iD: 0000-0002-0036-8417
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.ORCID iD: 0000-0002-1398-6118
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.ORCID iD: 0000-0001-6287-2240
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.ORCID iD: 0000-0002-3997-3083
2023 (English)In: Journal of Building Engineering, E-ISSN 2352-7102, Vol. 68, article id 106085Article in journal (Refereed) Published
Abstract [en]

Self-Compacting Concrete (SCC) offers favourable properties which help accelerate the casting time, especially in congested reinforced structures but when casting with SCC uncertainty remains a challenge on the behaviour of its formwork pressure. Researchers have introduced several design models to predict pressure and its behaviour. This research aims to assess the design models that have been reported in the literature. The assessment was carried out through a series of rigorous laboratory tests and the results from the tests served as input for the mathematical model evaluation. Twelve concrete columns with 2 m height were cast in the laboratory to study the effect of varying the input parameters in the existing design models. The formwork pressure was documented by a pressure monitoring system, with the capacity to produce instant results for real-time remote monitoring of the pressure development during and after concrete casting. The formwork pressures were calculated according to the current design models and were compared with pressure data acquitted from the laboratory tests. The results showed that the pressure predicted by the design models was typically greater than the pressure observed during the laboratory tests. The DIN18218 design model showed a relatively close approximation of the pressure distribution over the formwork height and casting time. The limitation of the models is observed when the casting rate varies, and models are sensitive to the input parameters. Thus, additional development of the current design models is needed to enable reliable estimations of the pressure, for example, in the case of low and high casting rates. The laboratory tests also showed that high casting rates and high slump flows generate higher pressures whereas higher thixotropy results in faster pressure reduction during construction.

Place, publisher, year, edition, pages
Elsevier Ltd , 2023. Vol. 68, article id 106085
Keywords [en]
Cast in place, Casting rate, Concrete construction, Formwork pressure, Modelling, Self compacting concrete, Slump flow, Thixotropy
National Category
Other Materials Engineering Infrastructure Engineering
Research subject
Building Materials
Identifiers
URN: urn:nbn:se:ltu:diva-95818DOI: 10.1016/j.jobe.2023.106085ISI: 001012837700001Scopus ID: 2-s2.0-85149059320OAI: oai:DiVA.org:ltu-95818DiVA, id: diva2:1742030
Funder
Svenska Byggbranschens Utvecklingsfond (SBUF)
Note

Validerad;2023;Nivå 2;2023-03-08 (joosat);

Funder: NCC AB

Licens fulltext: CC BY License

Available from: 2023-03-08 Created: 2023-03-08 Last updated: 2025-10-21Bibliographically approved
In thesis
1. Formwork Pressure of Self-Compacting Concrete
Open this publication in new window or tab >>Formwork Pressure of Self-Compacting Concrete
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Self-compacting concrete (SCC) is commonly known for its high flowability and resistance to segregation. Using SCC in constructing large structural members where reinforcements are congested offers several benefits, including reduced project time and a better work environment due to the lack of vibration. However, the concern is the presumably higher pressure exerted on the formwork during casting.

This thesis presents the results of a study on the form pressure exerted by SCC, which included the literature review to evaluate existing theoretical design models, laboratory testing, and modelling. A laboratory setup was developed, including a 2-meter circular column instrumented with a wireless pressure system. Two types of SCC were tested: with and without ground granulated blast furnace slag (GGBFS). The pressure was recorded by novel pressure sensors attached to transmitters to send real-time data to the cloud. The system was equipped with a pressure membrane that was in direct contact with the concrete. Several material and environmental parameters were recorded before and during casting.

The collected data were used to assess the accuracy of the following models, including DIN1821 (2010), Khayat et al. (2009), Gardner et al. (2012), Teixeira et al. (2017), Beitzel (2010), Ovarlez and Roussel (2006), and Proske (2010).  Most models were conservative, calculating higher pressures than recorded. In the next step, machine learning methods were developed to monitor and predict the pressure during casting continuously. These models showed significantly higher accuracy and flexibility than the existing prediction models. 

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2024
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
self-compacting concrete, form pressure, material parameters, mathematical modelling, maximum pressure, pressure reduction
National Category
Other Materials Engineering
Research subject
Building Materials
Identifiers
urn:nbn:se:ltu:diva-109666 (URN)978-91-8048-626-2 (ISBN)978-91-8048-627-9 (ISBN)
Public defence
2025-02-28, A109, Luleå University of Technology, Luleå, 08:00 (English)
Opponent
Supervisors
Available from: 2024-09-05 Created: 2024-09-05 Last updated: 2025-10-21Bibliographically approved

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Gamil, YaserNilimaa, JonnyCwirzen, AndrzejEmborg, Mats

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