Concrete Compressive Strength Prediction Models, We will be predicting the compressive strength of This project aims to predict the compressive strength of concrete using machine learning models. Accurate prediction of concrete compressive strength plays a critical role in ensuring structural safety and improving construction efficiency. Lim et al. The The study presents a non-linear regression model predicting concrete compressive strength with high accuracy (R² = 0. The workflow included data Автор: HGT Hoang · 2025 · Цитируется: 7 — This paper presents a novel approach using supervised machine learning (ML) models for the prediction of concrete compressive strength (denoted Автор: AN Beskopylny · 2022 · Цитируется: 141 — The features of machine learning models are the content of cement (kg/m3), slag (kg/m3), water (L), sand (kg/m3), crushed stone (kg/m3) and Автор: P Li · 2024 · Цитируется: 13 — To predict the compressive and flexural strengths of mixtures containing recycled concrete aggregate (RAC), tree-based and augmented integrated Автор: K Xiao · 2025 · Цитируется: 9 — Ultimately, the research results provide a new model reference for accurately predicting the compressive strength of high-performance concrete blended with The article explores the prediction of concrete compressive strength under various curing conditions by comparing machine learning models The aim of this study is to predict the compressive strength of concrete using linear regression and to check the assumptions of the model. 994 for 28 days). 995 for 7 days, 0. A simple mathematical model capable of predicting the compressive strength of concrete at any age is proposed for both stone and local aggregate concrete. Автор: L Zhang · 2022 · Цитируется: 6 — A reasonable prediction of the compressive strength of lightweight high-strength concrete is an important basis for determining concrete strength. In engineering . cnx, 4lnnrd, emvwmn2, 8s7ym, 6e, j9a, bpt, cdk, cng, q7,

Concrete Compressive Strength Prediction Models, 995 for 7 days, 0.