Research progress on durability diagnosis of concrete structures based on artificial intelligence

被引：0
|
作者：
Luo D. [1 ,2 ]
Li F. [1 ,2 ]
Niu D. [1 ,2 ]
机构：
[1] School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an
[2] Key Lab of Structural Engineering and Earthquake Resistance, Ministry of Education, Xi’an University of Architecture and Technology, Xi’an
来源：
Jianzhu Jiegou Xuebao/Journal of Building Structures | 2024年 / 45卷 / 02期
关键词：
concrete structure; damage detection; deep learning; intelligent diagnosis; life prediction;
D O I：
10.14006/j.jzjgxb.2023.A157
中图分类号：
学科分类号：
摘要：
Concrete structures are often subjected to serious performance deterioration and reduced durability due to environmental influences. Diagnosis of concrete in service, accurate identification of damage characteristics of concrete structures and efficient evaluation of their service lives are important to ensure the service safety of concrete structures. The diagnosis methods based on manual detection and sensor monitoring are inefficient and inaccurate, and cannot meet the requirements of scientific diagnosis for the service safety of actual engineering structures. Artificial intelligence offers novel impetus for research and application across diverse domains, fostering deep integration with concrete structure durability diagnosis technology and furnishing fresh methodologies for intelligent operation and maintenance of concrete structures throughout their entire lifespan. The shortcomings of traditional concrete structure durability diagnosis technology and the advantages of artificial intelligence technology were discussed, and the applications of artificial intelligence in concrete structure durability diagnosis were summarized from three aspects: intelligent recognition of concrete structure durability damage, intelligent prediction of durability evolution and intelligent evaluation of durability state. The results demonstrate that artificial intelligence technology has introduced innovative approaches to detecting and monitoring concrete durability damage, with integrating conventional concrete material damage degradation theory, creating an intelligent prediction methodology for concrete durability degradation process and service life, and establishing an intelligent diagnostic system for concrete structure durability represent pivotal future directions in the field of structural engineering. © 2024 Science Press. All rights reserved.
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页码：1 / 13
页数：12
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