Beyond limits of material strength, this can lead to a permanent shape change or structural failure. Consequently, it is frequently required to locate a local maximum near the global minimum59. Various orders of marked and unmarked errors in predictions are demonstrated by MSE, RMSE, MAE, and MBE6. Flexural strength is an indirect measure of the tensile strength of concrete. Civ. The result of this analysis can be seen in Fig. In the current study, The ANN model was made up of one output layer and four hidden layers with 50, 150, 100, and 150 neurons each. Investigation of Compressive Strength of Slag-based - ResearchGate Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms. Technol. Unquestionably, one of the barriers preventing the use of fibers in structural applications has been the difficulty in calculating the FRC properties (especially CS behavior) that should be included in current design techniques10. Therefore, according to the KNN results in predicting the CS of SFRC and compatibility with previous studies (in using the KNN in predicting the CS of various concrete types), it was observed that like MLR, KNN technique could not perform promisingly in predicting the CS of SFRC. Marcos-Meson, V. et al. 12). According to the presented literature, the scientific community is still uncertain about the CS behavior of SFRC. Overall, it is possible to conclude that CNN produces more accurate predictions of the CS of SFRC with less uncertainty, followed by SVR and XGB. This is a result of the use of the linear relationship in equation 3.1 of BS EN 1996-1-1 and was taken into account in the UK calibration. Strength evaluation of cementitious grout macadam as a - Springer J. Struct. Compressive strength vs tensile strength | Stress & Strain If there is a lower fluctuation in the residual error and the residual errors fluctuate around zero, the model will perform better. The air content was found to be the most significant fresh field property and has a negative correlation with both the compressive and flexural strengths. & Gao, L. Influence of tire-recycled steel fibers on strength and flexural behavior of reinforced concrete. PubMed Today Proc. Sci. The stress block parameter 1 proposed by Mertol et al. Intersect. More specifically, numerous studies have been conducted to predict the properties of concrete1,2,3,4,5,6,7. Struct. It is also observed that a lower flexural strength will be measured with larger beam specimens. This can be due to the difference in the number of input parameters. This index can be used to estimate other rock strength parameters. 12, the W/C ratio is the parameter that intensively affects the predicted CS. One of the drawbacks of concrete as a fragile material is its low tensile strength and strain capacity. Dubai World Trade Center Complex Supersedes April 19, 2022. Build. Importance of flexural strength of . The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. These measurements are expressed as MR (Modules of Rupture). MAPE is a scale-independent measure that is used to evaluate the accuracy of algorithms. Parametric analysis between parameters and predicted CS in various algorithms. Moreover, in a study conducted by Awolusi et al.20 only 3 features (L/DISF as the fiber properties) were considered, and ANN and the genetic algorithm models were implemented to predict the CS of SFRC.
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