Applications of Machine Learning to Predict the Flexural Bearing Capacity of Hollow Core Slabs After Fire Exposure-Reference-Cited by-同舟云学术

Applications of Machine Learning to Predict the Flexural Bearing Capacity of Hollow Core Slabs After Fire Exposure

Published:2023-09-27 Issue:1 Volume:34 Page:77-86
ISSN:1016-8664
Container-title:Structural Engineering International
language:en
Short-container-title:Structural Engineering International

Author:

Hao Chaowei¹^ORCID,Lin Baoyao²,Wang Mingfa³,Wang Laiyong⁴,Xing Dejin⁴

Affiliation:

1. Beijing Laboratory of Earthquake Engineering and Structural, Beijing University of Technology, Beijing, People’s Republic of China; Research Assistant, Research Institute of Highway, Ministry of Transport, Beijing, People’s Republic of China

2. Research Institute of Highway, Ministry of Transport, Beijing, People’s Republic of China

3. Construction Management Branch of Shandong Expressway Group Co., Ltd, Jinan, People’s Republic of China

4. School of Civil Engineering, Shandong Jiaotong University, Jinan, People’s Republic of ChinaContact:

Funder

the Intergovernmental Cooperation on International Scientific and Technological Innovation under the State Key R&D Program Special Fund Program

Transportation Science and Technology Project of Shandong Province

Special Fund Program of the Basic Research Operating Expenses for Central Public Research Institutes

Publisher

Informa UK Limited

Subject

Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10168664.2023.2211591

Reference34 articles.

1. Fire resistance test of prestressed concrete beam under fire hazard out of fuel oil;Zhang G;China J Highway Transp,2022

2. Experimental study on fire resistance of prestressed concrete girders under fuel fire exposure;Zhang G;China J Highway Transp,2022

3. Inspection and assessment of concrete girder bridge damaged by fire;Cai Z;World Bridges,2014

4. Damage assessment and strengthening of a prestressed concrete continuous beam bridge;Wu X;World Bridges,2016

5. Assessment and strengthening of a fire-damaged prestressed concrete continuous girder;Liu H;Bridge Constr,2021

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