Código QR (código de barras bidimensional)

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...

Fuld beskrivelse

Na minha lista:
Principais autores: Tatiana Kondratieva, Vasilina Tyurina, Anton Chepurnenko
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-06-01
Serier:Buildings
Fag:
mass concrete
hydration heat
thermal cracking
machine learning
CatBoost
temperature prediction
Online adgang:https://www.mdpi.com/2075-5309/16/12/2287
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker