Decision Tree Model for Predicting Exposure Temperature and Retention Period-Dependent Behavior of Blended Concrete
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
The major objective of the study is to estimate the behavior of blended concrete at various sustained exposure temperatures and retention times. The study examines the properties of four different types of concrete mixes, including unblended and blended mixes with fly ash and ground granulated blast furnace slag used to partially replace cement at exposure temperatures between 100 °C and 800 °C for varying exposure times of 1, 2, and 3 h. Concrete quality has been evaluated using measurements of density, porosity, and ultrasonic pulse velocity. Residual compressive and splitting tensile strengths have also been determined. The experimental study indicates that blended concrete has better fire-endurance characteristics than unblended concrete. The exposure temperature and retention time dependent behavior of unblended and blended concrete is predicted using classification and regression decision tree techniques. © 2023, The Author(s), under exclusive licence to Shiraz University.
Description
Keywords
ANOVA, Blended concrete, CART algorithm, Decision tree, Elevated temperature, Mechanical properties
Citation
Iranian Journal of Science and Technology - Transactions of Civil Engineering, 2023, 47, 6, pp. 3277-3289
