A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures

A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures

This study proposes an RBF-PSO hybrid framework for efficient inversion analysis of hydration heat parameters in mass concrete temperature fields, addressing the computational inefficiency and accuracy limitations of traditional methods. By integrating a Radial Basis Function (RBF) surrogate model w...

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Bibliographic Details
Main Authors: Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Buildings
Subjects:
RBF-PSO
dynamic time warping
feature penalties
civil engineering material
Online Access:https://www.mdpi.com/2075-5309/15/13/2236
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