|
|
|
|
|
Rong Wang, Xinyang Zhou, Yi Liu, Dongqi Liu, Yu Lu and Miao Su
To ensure the safety and durability of concrete structures, timely detection and classification of concrete cracks using a low-cost and high-efficiency method is necessary. In this study, a concrete surface crack damage detection method based on the ResN...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xunqian Xu, Qi Li, Shue Li, Fengyi Kang, Guozhi Wan, Tao Wu and Siwen Wang
Based on the tunnel crack width identification, there are operating time constraints, limited operating space, high equipment testing costs, and other issues. In this paper, a large subway tunnel is a research object, and the tunnel rail inspection car i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liang Chen, Xingrong Lu, Daping Deng, Mehdi Kouhdarag and Yimin Mao
Our study focuses on the dynamic transient analysis of arched beam bridges over rivers, which face unique geohazards and challenges, including vibrations and dynamic loads that can affect structural integrity. The finite element software ANSYS v. 19.3 wa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haiyan Xing, Cheng Xu, Ming Yi, Shenrou Gao and Weinan Liu
Metal magnetic memory (MMM) is a nondestructive testing technology based on the magnetomechanical effect, which is widely used in the qualitative detection of stress concentration zones for welded joints. However, there is inevitable residual stress afte...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qinge Wu, Zhichao Song, Hu Chen, Yingbo Lu and Lintao Zhou
Crack identification plays a vital role in preventive maintenance strategies during highway pavement maintenance. Therefore, accurate identification of cracks in highway pavement images is the key to highway maintenance work. In this paper, an improved U...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanjie Zhu, Weidong Xu, C. S. Cai and Wen Xiong
After years of service, bridges could lose their expected functions. Considering the significant number of bridges and the adverse inspecting environment, the urgent requirement for timely and efficient inspection solutions, such as computer vision techn...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seung-Chan Baek, Jintak Oh, Hyun-Jung Woo, In-Ho Kim and Sejun Jang
Information on the location of cracks in concrete structures is an important factor enabling appropriate maintenance or reinforcement measures to be taken. Most studies related to concrete cracks are limited to crack detection and identification, and stu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jie Wu, Yongjin He, Chengyu Xu, Xiaoping Jia, Yule Huang, Qianru Chen, Chuyue Huang, Armin Dadras Eslamlou and Shiping Huang
Crack detection is an important task in bridge health monitoring, and related detection methods have gradually shifted from traditional manual methods to intelligent approaches with convolutional neural networks (CNNs) in recent years. Due to the opaque ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kemal Haciefendioglu, Ahmet Can Altunisik and Tugba Abdioglu
The efficient and precise identification of cracks in masonry stone structures caused by natural or human-induced factors within a specific region holds significant importance in detecting damage and subsequent secondary harm. In recent times, remote sen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianyuan Li, Xiaochun Lu, Ping Zhang and Qingquan Li
The timely identification and detection of surface cracks in concrete dams, an important public safety infrastructure, is of great significance in predicting engineering hazards and ensuring dam safety. Due to their low efficiency and accuracy, manual de...
ver más
|
|
|
|
|
|