Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 97, P. 110725 - 110725
Published: Sept. 12, 2024
Language: Английский
Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 97, P. 110725 - 110725
Published: Sept. 12, 2024
Language: Английский
Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: 508, P. 160844 - 160844
Published: Feb. 26, 2025
Language: Английский
Citations
1Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106340 - 106340
Published: March 1, 2025
Language: Английский
Citations
1Building and Environment, Journal Year: 2024, Volume and Issue: 262, P. 111785 - 111785
Published: June 28, 2024
Language: Английский
Citations
5Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105401 - 105401
Published: April 25, 2024
Language: Английский
Citations
4Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104951 - 104951
Published: Sept. 25, 2023
Language: Английский
Citations
10Physics 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
0Physics 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
0Deleted Journal, Journal Year: 2025, Volume and Issue: 7(4)
Published: March 20, 2025
Language: Английский
Citations
0Computational and Applied Mathematics, Journal Year: 2025, Volume and Issue: 44(5)
Published: April 3, 2025
Language: Английский
Citations
0Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112974 - 112974
Published: April 1, 2025
Language: Английский
Citations
0