Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Chunli Ying"'
Publikováno v:
Buildings, Vol 14, Iss 10, p 3248 (2024)
Mass concrete construction has the characteristics of large scale, complex technology, high professional requirements, and complex management. In this paper, information technology is introduced into the construction process of mass concrete, aiming
Externí odkaz:
https://doaj.org/article/cd7d97b45cb64ecdbdfc081561174595
Publikováno v:
Applied Sciences, Vol 13, Iss 20, p 11149 (2023)
This paper presents a thorough review and detailed analysis of nanosensors for structural health monitoring (SHM) in the context of bridge maintenance. With rapid advancements in nanotechnology, nanosensors have emerged as promising tools for detecti
Externí odkaz:
https://doaj.org/article/91680714b9ff4715be2fb6d59fd44f11
Publikováno v:
Advances in Civil Engineering, Vol 2023 (2023)
Digital twins (DTs) have a great potential for bridge operation and maintenance. Geometric digital twins (gDTs) are the key component of DTs. At present, a growing number of researchers are using high-precision 3D laser point clouds to generate gDTs.
Externí odkaz:
https://doaj.org/article/a10fa1d6a23743e0a451cecfd261485c
Publikováno v:
Advances in Civil Engineering, Vol 2021 (2021)
Building information modeling (BIM) in industrialized bridge construction is usually performed based on initial design information. Differences exist between the model of the structure and its actual geometric dimensions and features due to the manuf
Externí odkaz:
https://doaj.org/article/d4a4cf417869444195fed89bab060ec8
Autor:
Yin Zhou, Daguang Han, Kaixin Hu, Guocheng Qin, Zhongfu Xiang, Chunli Ying, Lidu Zhao, Xingyi Hu
Publikováno v:
Advances in Civil Engineering, Vol 2021 (2021)
The comprehensive utilization of prefabricated components (PCs) is one of the features of industrial construction. Trial assembly is imperative for PCs used in high-rise buildings and large bridges. Virtual trial assembly (VTA) is a preassembly proce
Externí odkaz:
https://doaj.org/article/1fb1da3acf49498cac9b101234c8527f
Publikováno v:
Computer-Aided Civil and Infrastructure Engineering. 37:650-665
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b911287da00d7dabac3ed7562838b11
https://doi.org/10.1111/mice.12765
https://doi.org/10.1111/mice.12765
Publikováno v:
International Journal of Automotive Technology. 22:895-908
Proper understanding and prediction of driving behavior of surrounding vehicles are one of the most significant requirements for automated driving especially when it comes to safety on a highway. In this paper, we propose a two-layer memory-attention
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1300df7353ab70efb0db6fb52404804
https://doi.org/10.1007/s12239-021-0081-8
https://doi.org/10.1007/s12239-021-0081-8
Autor:
MiaoHong Tang, Guocheng Qin, YuPeng Yang, ChunLi Ying, Qian Meng, Tong Guo, YanHui Liu, DaGuang Han, Haidar Hosamo
Publikováno v:
2021 International Conference on Mechanical, Aerospace and Automotive Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f87571745f8ff446a82b3d05530f893d
https://doi.org/10.1145/3518781.3519245
https://doi.org/10.1145/3518781.3519245
Autor:
Xiaofang Xue, Guocheng Qin, Yin Zhou, Chunli Ying, Yupeng Yang, Qian Meng, Yanhui Liu, Tong Guo, Daguang Han
Publikováno v:
2021 International Conference on Mechanical, Aerospace and Automotive Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d7828fbfb27ccd88252a2474850655b
https://doi.org/10.1145/3518781.3519225
https://doi.org/10.1145/3518781.3519225
Autor:
Xiaofang Xue, Jieming Guo, Chunli Ying, Yanhui Liu, Tong Guo, Qian Meng, Yupeng Yang, Daguang Han
Publikováno v:
2021 5th International Conference on Vision, Image and Signal Processing (ICVISP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea923ff0bc7578f9363575bf0054499d
https://doi.org/10.1109/icvisp54630.2021.00052
https://doi.org/10.1109/icvisp54630.2021.00052