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机译:Prediction of bending strength of glass fiber reinforced methacrylate-based pipeline UV-CIPP rehabilitation materials based on machine learning
Key Laboratory of Synthetic and Biological Colloids Ministry of Education School of Chemical and Material Engineering Jiangnan University||International Research Center for Photoresponsive Molecules and Materials Jiangnan University;
School of Water Conservancy and Transportation/Yellow River Laboratory/Underground Engineering Research Institute Zhengzhou University||National Local Joint Engineering Laboratory of Major Infrastructure Testing and Rehabilitation Technology||Collaborative Innovation Center for Disaster Prevention and Control of Underground Engineering Jointly Built by Provinces and Ministries;
School of Water Conservancy and Transportation/Yellow River Laboratory/Underground Engineering Research Institute Zhengzhou UniversitySchool of Water Conservancy and Transportation/Yellow River Laboratory/Underground Engineering Research Institute Zhengzhou UniversitySchool of Water Conservancy and Transportation/Yellow River Laboratory/Underground Engineering Research Institute Zhengzhou UniversitySchool of Water Conservancy and Transportation/Yellow River Laboratory/Underground Engineering ResSchool of Water Conservancy and Transportation/Yellow River Laboratory/Underground Engineering Research Institute Zhengzhou University||National Local Joint Engineering Laboratory of Major Infrastructure Testing and Rehabilitation Technology||Collaborative Innovation Center for Disaster Prevention and Control of Underground Engineering Jointly Built by Provinces and Ministries||SAFEKEY Engineering Technology (Zhengzhou) LtdInternational Research Center for Photoresponsive Molecules and Materials Jiangnan UniversityGuangzhou Municipal Engineering Group Ltd.Department of Applied Physics and Electronics Umea University;
Bending strength; Curing parameters; GA; SVM; UV-CIPP materials;