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Strength prediction model for foamed cellular concrete

Facundo Atuel Retamal and Viviana Carolina Rougier

Vol. 18 (2023), No. 4, 427–443

A working line for the development of strength prediction models for foamed cellular concrete (FCC) consists of taking models designed for normal concrete (NC) and adapting them to incorporate the particular characteristics of this material. In this work, a new strength prediction model for FCC is presented. In it, the specific densities of composing materials and their relative amounts to cement, by weight, are considered as input variables. Introducing the specific density of the foam and the foam-cement ratio by weight as input parameters of the model allows for consideration of the variability of the characteristics of the produced foam and, with it, the control of its influence on the mechanical characteristics of FCC. Quantifying the quantities of materials through their relationships with cement by weight is a common procedure in concrete technology, and allows proper control, with greater ease and accuracy, both in manufacturing plants and laboratories.

In addition to the development of the mathematical expression of the model, its calibration and validation are presented. For this, experimental campaigns and statistical analysis were conducted. The influence of each input variable considered by the model on the compressive strength of the material is evidenced through parametric analysis. In this way, it was possible to achieve a mathematical expression for determining FCC theoretical porosity, and throughout it, the material’s compressive strength. Also, the expression is composed of parameters of simple determination, both on construction sites and in laboratories. Additionally, it was also shown that the proposed equation for the theoretical porosity is applicable for FCC that incorporates sand or not, and it can also be used with foams with different densities.

mathematical model development, strength prediction model, porosity, foamed cellular concrete, experimental campaign
Received: 16 August 2022
Revised: 23 January 2023
Accepted: 6 February 2023
Published: 30 May 2023
Facundo Atuel Retamal
Concepción del Uruguay Regional Faculty
National Technological University
Viviana Carolina Rougier
Concepción del Uruguay Regional Faculty
National Technological University