A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques

A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques

Rubber composite sleepers can experience significant temperature variations in service, causing temperature-induced deformation. Real-time monitoring of this deformation is crucial for operational safety and maintenance; however, it is costly, time-consuming, and requires substantial resources and...

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Bibliographic Details
Main Authors: Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman
Format: Article
Language:English
Published: middle technical university 2024-12-01
Series:Journal of Techniques
Subjects:
Rubber Composite Sleeper
Deformation
Response Surface Methodology
Machine Learning
Temperature-Distribution
Online Access:https://journal.mtu.edu.iq/index.php/MTU/article/view/2609
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https://journal.mtu.edu.iq/index.php/MTU/article/view/2609

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