Expiratory aerosols' spread, removing and infection risk investigation in public toilet: CFD and machine learning DOI

Xianzhou Dong,

Zhuoru Chen,

Yixuan Dong

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 97, P. 110725 - 110725

Published: Sept. 12, 2024

Language: Английский

Optimizing enzymatic bioreactors: The role of mass transfer in enhancing catalytic efficiency and stability DOI
Dan Wang, Hao Zhang, Yukun Wang

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: 508, P. 160844 - 160844

Published: Feb. 26, 2025

Language: Английский

Citations

1

Dynamics of human speech as aerosol transmission sources: implications for sustainable urban health based on impulsive jet theory DOI
Chunwen Xu,

Weiqiang Ma,

Shihe Yi

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106340 - 106340

Published: March 1, 2025

Language: Английский

Citations

1

Strategic ventilation design for reducing airborne infection transmission in a two-story building: A numerical approach DOI

Ali Asghar Sedighi,

Fariborz Haghighat, Fuzhan Nasiri

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 262, P. 111785 - 111785

Published: June 28, 2024

Language: Английский

Citations

5

Simulation-based suggestions for lockdown rules in dense urban areas considering indoor-outdoor droplet transmission under natural ventilation conditions DOI

Xiaodan Fan,

Xuelin Zhang, A.U. Weerasuriya

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105401 - 105401

Published: April 25, 2024

Language: Английский

Citations

4

Assessment of a deep learning model for monitoring atmospheric pollution: Case study in Antwerp, Belgium DOI
Xavier Jurado, Nicolas Reiminger, Loïc Maurer

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104951 - 104951

Published: Sept. 25, 2023

Language: Английский

Citations

10

Nozzle model for equivalently simulating the dynamic characteristics of human exhalation clouds DOI
Tiantian Wang, Hang Zhang, Fangcheng Shi

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(1)

Published: Jan. 1, 2025

Current airway models for simulating human expiratory cloud diffusion face challenges due to numerous difficult-to-define entry boundaries and unverified simplifications, potentially leading inaccurate simulations of dynamic characteristics exhaled clouds. To address this challenge, a nozzle geometry boundary structure is designed with inclined channels main channel containing an internal obstacle. The primarily affect the vertical velocity cloud, while obstacle in influences vortices, thereby impacting exhalation cloud. effects angle channels, length, width on four key parameters characterizing dispersion: penetration distance, area, upper angle, lower are assessed study. Bayesian optimization was employed based results involving various structures. Optimization indicated that 63.3 degrees, dimensions 2.8 mm width, 5.2 length yielded minimal deviation. Numerical using these optimized closely matched captured by Schlieren, average deviation within 8%, effectively model offers reliable conditions numerical exhalation, minimizing discrepancies between experimental results.

Language: Английский

Citations

0

Predicting the spatio-temporal distribution of the droplets based on the machine learning algorithm DOI
Jiyu Yao, Tiantian Wang,

Lini Dong

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(2)

Published: Feb. 1, 2025

Aerosol pollutants composed of suspended droplets significantly impact environmental quality and human health. Predicting the spatiotemporal distribution cough remains a challenge due to their complex multiphase dynamics, involving intricate interactions between droplet motion turbulent airflow. This study presents three-dimensional Gaussian parameter model integrating computational fluid dynamics (CFD) with machine learning efficiently simulate predict transport dispersion indoor droplets. The derived from CFD flow field kinematics adheres conservation principles hyperbolicity, ensuring physical consistency. An adaptive polynomial feature random forest algorithm predicts parameters, enabling rapid reconstruction trajectories spatial patterns. approach achieves 76.4% reduction in cost compared traditional simulations while maintaining high accuracy, mean absolute error below 0.07 squared 0.014. robust versatile framework advances understanding aerosol offering critical insight practical tools for air management pollution control.

Language: Английский

Citations

0

Numerical simulations of human respiratory flows: a review DOI Creative Commons
Anna Lancmanová, Tomáš Bodnár

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(4)

Published: March 20, 2025

Language: Английский

Citations

0

Numerical study of coughing in indoor environments: comparison between tetrahedral and hexahedral meshes DOI
Nuhu Ayuba,

Guaraldo Justi,

Gabriela Cantarelli Lopes

et al.

Computational and Applied Mathematics, Journal Year: 2025, Volume and Issue: 44(5)

Published: April 3, 2025

Language: Английский

Citations

0

Cough airflow dynamics and droplet transmission: Methods, characteristics, and implications DOI
Lingjun Xiao, Kaijun Li, Jianjian Wei

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112974 - 112974

Published: April 1, 2025

Language: Английский

Citations

0