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The effectiveness of surrogate models in predicting the long-term behavior of varying compressive strength ranges of recycled concrete aggregate for a variety of shapes and sizes of specimens

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Abstract

One of the most fundamental developments in improving the mechanical properties of concrete is the introduction of recycled coarse aggregate, which offers an environmentally preferable substitute for traditional waste management techniques. Using recycled coarse aggregate and a small number of mix proportions for the concrete components, a few studies looked at the mechanical properties of concrete. To assess the impact of recycled coarse aggregate on the long-term compressive strength of concrete at various mix proportions and different compressive strength ranges, this study analyzed four models, including linear regression (LR), nonlinear regression (NLR), pure quadratic (PQ), and full quadratic (FQ). Three datasets training, testing, and validating, each containing 314 data points culled from various studies, were used to apply the models. The recycled coarse aggregate (RA) density ranged from 0 to 1240 kg/m3, and the curing time (t) varied from 1 to 90 days. While the predicted compressive strength of the models ranged between 5 and 75 MPa, the compressive strength of the data gathered from the experimental work of several studies ranged from 8 to 78 MPa. The models’ accuracy was assessed using several metrics, including the coefficient of determination (R2), the root-mean-square error (RMSE), the scatter index (SI), the objective (OBJ), and the mean absolute error (MAE).

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The data supporting the conclusions of this article are included in the article.

Abbreviations

LR:

Linear regression

NLR:

Nonlinear regression

PQ:

Pure quadratic

FQ:

Full quadratic

R2 :

Coefficient of determination

MAE:

Mean absolute error, MPa

SI:

Scatter index, MPa

RMSE:

Root-mean-square error, MPa

OBJ:

Objective function, MPa

w/c:

Water/cement ratio

CC:

Cement content, kg/m3

SC:

Sand content, kg/m3

NA:

Natural aggregate, kg/m3

RA:

Recycled aggregate kg/m3

RAR:

Recycled aggregate replacement, %

NAR:

Natural aggregate replacement, %

SP:

Superplasticizer, %

t:

Curing time, day

CS:

Compressive strength, MPa

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Authors and Affiliations

  1. Civil Engineering Department, College of Engineering, American University of Iraq Sulaimani, Kurdistan, Sulaimani, Iraq

    Aisha Kamal Ibrahim, Hyfaa Yasin Dhahir, Ahmed Salih Mohammed, Helen Ali Omar & Ammar Hassan Sedo

  2. American University of Iraq, Sulaimani, Iraq

    Ahmed Salih Mohammed

  3. ACI-Kurdistan Chapter (AUIS-Student Chapter), Sulaymaniyah, Iraq

    Ahmed Salih Mohammed

Authors
  1. Aisha Kamal Ibrahim
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  2. Hyfaa Yasin Dhahir
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  3. Ahmed Salih Mohammed
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  4. Helen Ali Omar
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Correspondence to Ahmed Salih Mohammed.

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Ibrahim, A.K., Dhahir, H.Y., Mohammed, A.S. et al. The effectiveness of surrogate models in predicting the long-term behavior of varying compressive strength ranges of recycled concrete aggregate for a variety of shapes and sizes of specimens. Archiv.Civ.Mech.Eng 23, 61 (2023). https://doi.org/10.1007/s43452-022-00595-2

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