Department of Civil Engineering and Geoengineering, Faculty of Environmental and Mechanical Engineering,
Poznań University of Life Sciences, Poland
Submission date: 2021-01-23
Acceptance date: 2021-04-28
Online publication date: 2022-01-18
Publication date: 2022-01-28
Corresponding author
Anna Smoczkiewicz-Wojciechowska
Department of Civil Engineering and Mechanical Engineering, Faculty of Environmental and Mechanical Engineering, Poznan University of Life Sciences, Piątkowska 94E, 60-649, Poznań, Poland
The leading theme of the paper was to study, how the use of lightweight concrete based on waste
aggregates, characterized by significant mechanical strength and increased thermal insulation, affects
the properties of building partitions and contributes to possible economic savings, so as to properly
design and select materials required for the construction process.
The work presents the composition of lightweight concrete samples made of waste lightweight
aggregates as well as their physical and mechanical properties. It includes calculations concerning floor
loading and heat transfer coefficient of building partitions made of the presented lightweight concretes.
Calculations provided the basis for assessing the impact of particular parameters on compressive
strength and thermal insulation of walls and floors. The paper additionally describes concretes made
of waste aggregates in the form of lytag (Pollytag) and slag. Based on the research, it was found that
concrete containing Pollytag had the lowest density value and thermal conductivity coefficient. These
parameters translated into reduction in the weight of the slab in question by more than 40% and allowed
to save 25% of steel compared to an analogous plain concrete slab. The decrease in heat conductivity
coefficient did not result in a significant increase in thermal insulation of building partitions.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Artificial Neural Network-Based Prediction of Compressive Strength for Mix Design Evaluation in Sustainable Expanded Polystyrene-Infused Concrete Kavin John O. Castillanes, Gilford B. Estores Buildings
Simultaneous Effects of Perlite Fine Aggregate and Silica Fume on the Physical Properties of Lightweight Cement Mortars Mortada Sabeh Whwah, Mushtaq Sadiq Radhi, Anmar Dulaimi, Luís Filipe Almeida Bernardo, Tiago Pinto Ribeiro CivilEng
Thermal Conductivity Coefficient Characterization of Lightweight Reactive Powder Concrete Stefania Grzeszczyk, Grzegorz Janus Journal of Materials in Civil Engineering
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