Numerical simulation of dust suppression characteristics in regeneration of old industrial buildings

doi:10.16265/j.cnki.issn1003-3033.2025.01.0170

Abstract

Abstract:

To explore the effects of dust-generating processes and environmental fluids on the spatiotemporal distribution of dust during the regeneration of old industrial buildings, field studies and numerical simulation was used to investigate the dust suppression characteristics inside the construction area under different processes and background wind speeds. The dust source characteristics in the main processes of re-construction of old industrial buildings were clarified by analyzing a large amount of dust data. Typical old industrial buildings were selected for the field studies of sanding and shoveling processes. Numerical simulation was performed to investigate the dust mass concentration distribution under five inlet air velocities and two dust-producing processes and to identify the dust-aggregation zones in the reclaimed construction space of old industrial buildings. The results showed that the maximum dust mass concentration in the grinding process exceeded the limit by 54 and 37 times in the grinding and shoveling process, respectively. Inlet wind speed affected the dust mass distribution of the main impact zones in the construction area and changed the process of dust reaching dynamic equilibrium. Dust-generating process variations impacted on the dust mass concentration distribution. Moreover, the workload increase of a specific process resulted in a proportional increase in downstream dust mass concentrations. This study can provide fundamental knowledge for dust management in the reconstruction of old industrial buildings.

Key words: old industrial building regeneration, construction dust, suppression characteristics, numerical simulation, dust mass concentration

CLC Number:

X964工业防尘

TIAN Wei, MA Ruihao, GUAN Xiaojie, GAO Mingzhe, TAN Xiao. Numerical simulation of dust suppression characteristics in regeneration of old industrial buildings[J]. China Safety Science Journal, 2025, 35(1): 231-238.

Figures/Tables 12

Fig.1

Fig.2

Fig.3

Table 1

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

Fig.11

References 15

[1]	于光玉, 李慧民. 旧工业建筑改造施工安全影响机制研究[J]. 中国安全科学学报, 2021, 31(7):120-129. doi: 10.16265/j.cnki.issn 1003-3033.2021.07.017
	YU Guangyu, LI Huimin. Research on safety impact mechanism of reconstruction of old industrial building[J]. China Safety Science Journal, 2021, 31 (7): 120-129. doi: 10.16265/j.cnki.issn 1003-3033.2021.07.017
[2]	GUO Ping, TIAN Wei, LI Huimin. Dynamic health risk assessment model for construction dust hazards in the reuse of industrial buildings[J]. Building and Environment, 2022, 210: DOI:10.1016/j.buildenv.2021.108736.
[3]	罗福周, 袁慧卿, 张扬. 旧工业建筑再生项目消防安全韧性评估[J]. 中国安全科学学报, 2022, 32 (3): 167-173. doi: 10.16265/j.cnki.issn1003-3033.2022.03.023
	LUO Fuzhou, YUAN Huiqing, ZHANG Yang. Assessment on fire safety resilience of old industrial building regeneration projects[J]. China Safety Science Journal, 2022, 32 (3): 167-173. doi: 10.16265/j.cnki.issn1003-3033.2022.03.023
[4]	BALACHANDAR S, EATON J K. Turbulent dispersed multiphase flow[J]. Annual Review of Fluid Mechanics, 2010, 42:111-133.
[5]	ALVIN C K, WILLIAM W N. Modeling indoor particle deposition from turbulent flow onto smooth surfaces[J]. Journal of Aerosol Science, 2000, 31(4):463-476.
[6]	ELGHOBASHI S. Direct numerical simulation of turbulent flows laden with droplets or bubbles[J]. Annual Review of Fluid Mechanics, 2019, 51:217-244.
[7]	TANAKA T, EATON J K. Sub-Kolmogorov resolution partical image velocimetry measurements of particle-laden forced turbulence[J]. Journal of Fluid Mechanics, 2010, 643: 177-206.
[8]	ELGHOBASHI S. Particle-laden turbulent flows: direct simulation and closure models[J]. Applied Scientific Research, 1991,48: 301-314.
[9]	MAXEY M R. The gravitational settling of aerosol particles in homogeneous turbulence and random flow fields[J]. Journal of Fluid Mechanics, 1987,174: 441-465.
[10]	徐景德, 周心权. 通风除尘和风流速度关系的试验研究[J]. 矿业安全与环保, 1999, 26(4):21-22,37.
	XU Jingde, ZHOU Xinquan. Experimental research on relationship between dust removal by ventilation and air velocity[J]. Mining Safety & Environmental Protection, 1999, 26(4):21-22, 37.
[11]	张辛亥, 尚治州, 冯振, 等. 大采高综采工作面风流-呼吸带粉尘分布数值模拟[J]. 安全与环境学报, 2021, 21(2):570-575.
	ZHANG Xinhai, SHANG Zhizhou, FENG Zhen, et al. Numerically simulated distribution of the airflow and dust movement in the respiratory zone at the fully mechanized mining face with great mining height[J]. Journal of Safety and Environment, 2021, 21(2):570-575.
[12]	李成才, 毛节泰, 刘启汉, 等. 利用MODIS光学厚度遥感产品研究北京及周边地区的大气污染[J]. 大气科学, 2003, 27(5):869-880,951-953.
	LI Chengcai, MAO Jietai, LIU Qihan, et al. Research on the air pollution in Beijing and its surroundings with MODIS AOD products[J]. Chinese Journal of Atmospheric Sciences, 2003, 27(5):869-880,951-953.
[13]	刘恩海, 付英健, 张智, 等. 联合Transformer注意力机制的PM_2.5浓度预测网络研究[J]. 安全与环境学报, 2023, 23(10):3760-3768.
	LIU Enhai, FU Yingjian, ZHANG Zhi, et al. PM_2.5 recurrent prediction network combined with transformer attention mechanism[J]. Journal of Safety and Environment, 2023, 23(10):3760-3768.
[14]	HU Shengyong, LIAO Qi, FENG Guorui, et al. Influences of ventilation velocity on dust dispersion in coal roadways[J]. Powder Technology, 2020, 360: 683-694. doi: 10.1016/j.powtec.2019.09.080
[15]	张政, 谢灼利. 流体-固体两相流的数值模拟[J]. 化工学报, 2001, 52(1):1-12.
	ZHANG Zheng, XIE Zhuoli. Numerical simulation of fluid-solid two-phase flows[J]. CIESC Journal, 2001, 52(1):1-12.

参数类型	参数项目	参数设定
连续相参数	求解器	基于压力求解
	湍流模型	RNG k-ε
	求解类型	瞬态计算
离散相参数	相间耦合步	1
	时间步长/s	1
	计算步数	1 800
颗粒物参数	颗粒类型	球形颗粒
	颗粒最小直径/μm	1
	颗粒最大直径/μm	10
	颗粒中位直径/μm	7.33
	颗粒分布指数	1.46
壁面及进出口参数	入口风速/(m·s^-1)	1.37
	出口压力/kPa	101.325
	竖直壁面	反射
	壁面反射系数	0.76
	水平壁面	捕捉
	壁面粗糙度	0.32