QR-Code

Predicting the Temperature Regime in Hardening Massive Monolithic Walls Using CatBoost Gradient Boosting

Thermal cracking due to hydration heat in massive monolithic walls poses a significant risk, but traditional prediction methods are often too complex for rapid engineering assessments. This study aims to develop machine learning models to predict the maximum temperature and center-to-surface tempera...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Tatiana Kondratieva, Vasilina Tyurina, Anton Chepurnenko
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2026-06-01
Schriftenreihe:Buildings
Schlagworte:
mass concrete
hydration heat
thermal cracking
machine learning
CatBoost
temperature prediction
Online-Zugang:https://www.mdpi.com/2075-5309/16/12/2287
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!

Ähnliche Einträge