Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference

Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference

Abstract In pavement engineering, cement grouting material is widely used to pour into large void asphalt concrete to prepare semi-flexible composite mixtures. It plays an essential role in the performance of the semi-flexible composite mixture. To meet specific engineering requirements, various add...

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Bibliographic Details
Main Authors: Jiaolong Ren, Meng Wang, Lin Zhang, Zedong Zhao, Jian Wang, Jingchun Chen, Hongbo Zhao
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:International Journal of Concrete Structures and Materials
Subjects:
Cement grouting material
Uncertainty
Optimization design
Bayesian inference
Multioutput support vector machine
Online Access:https://doi.org/10.1186/s40069-022-00562-4

Internet

https://doi.org/10.1186/s40069-022-00562-4

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