Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Haitao Bian"'
Publikováno v:
Emergency Management Science and Technology, Vol 4, Iss 1, Pp 1-18 (2024)
In recent years, China has experienced frequent chemical production accidents. This study collates 1900 briefings of such accidents from 2012 to 2023, sourced from a variety of repositories. By employing association rule mining, we analyzed the conne
Externí odkaz:
https://doaj.org/article/adf3fcd826fe47319f2a5e0d84235733
Publikováno v:
Fire, Vol 7, Iss 1, p 2 (2023)
As environmental conservation and sustainability gain prominence globally, modern timber structures are receiving increased focus. Nonetheless, the combustible nature of timber raises significant fire safety concerns. This review explores the recent
Externí odkaz:
https://doaj.org/article/490c299c3e744e6d9793a7e35c6df062
Publikováno v:
Fire, Vol 5, Iss 6, p 212 (2022)
Fire accident is one of the significant threats to the urban utility tunnel (UUT) during operation, and the emergency response is challenging due to the compact tunnel structure and potential hazard sources involved. Traditional fire detection techni
Externí odkaz:
https://doaj.org/article/381e82189f8a499c9fcdd78d2dae4d91
Autor:
Xiaowei Zang, Xiang Zhou, Haitao Bian, Weiping Jin, Xuhai Pan, Juncheng Jiang, M. Yu. Koroleva, Ruiqi Shen
Publikováno v:
Molecules, Vol 28, Iss 1, p 322 (2022)
Energetic materials (EMs) are the core materials of weapons and equipment. Achieving precise molecular design and efficient green synthesis of EMs has long been one of the primary concerns of researchers around the world. Traditionally, advanced mate
Externí odkaz:
https://doaj.org/article/469c322f5cd04bcd8f0a0f84f6f840bc
Publikováno v:
Process Safety and Environmental Protection. 165:181-190
Publikováno v:
Molecular Omics.
A novel FTIR-based metabolomics approach via seeking ‘wave number markers’ was developed for origin traceability of rice.
Publikováno v:
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC).
Autor:
Diao Xu, Yongmei Hao, Shen Guodong, Haitao Bian, Ahmed Mebarki, Chi Zhaozhao, Lei Ni, Zhirong Wang, Juncheng Jiang
Publikováno v:
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing, Elsevier, 2020, 143, pp.106787. ⟨10.1016/j.ymssp.2020.106787⟩
Mechanical Systems and Signal Processing, Elsevier, 2020, 143, pp.106787. ⟨10.1016/j.ymssp.2020.106787⟩
Leak detection is critical for the safety management of pipelines since leakages may cause serious accidents. The present paper aims to develop an efficient method able to detect the presence and importance of leaks in pipelines. This method relies o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::390b9fcd80f239186afe3ae1614f91bf
https://hal.archives-ouvertes.fr/hal-02824435
https://hal.archives-ouvertes.fr/hal-02824435
Publikováno v:
Thin-Walled Structures. 144:106309
The combined loadings of the fragment impact and pool-fire caused by domino accidents in storage tank farms or oil depots can result in damage greater than that caused by a separate loading. However, due to the complexity of the combined loadings, th
Publikováno v:
Journal of Performance of Constructed Facilities. 27:460-467
This paper summarizes a case study of using three-dimensional (3D) light detection and ranging (LiDAR) scanner technology in bridge postblast geometric assessments. Terrestrial 3D LiDAR scanners can generate dense point clouds of position information