Review of OpenFOAM applications in the computational wind engineering: from wind environment to wind structural engineering
A Ricci - Meccanica, 2024 - Springer
The use of computational fluid dynamics (CFD) in the wind engineering (WE) is generally
defined as computational wind engineering (CWE). Since its foundation in 2004, the use of …
defined as computational wind engineering (CWE). Since its foundation in 2004, the use of …
Urban micro-scale street thermal comfort prediction using a 'graph attention network'model
L Zheng, W Lu - Building and Environment, 2024 - Elsevier
Outdoor thermal comfort (OTC) directly affects human behavior and building operations. It is
also a key factor in the achievement of smart living. When modeling OTC, existing studies …
also a key factor in the achievement of smart living. When modeling OTC, existing studies …
sat2shp: Extracting key building features from a single satellite image for urban building energy modelling and beyond
T Wang, C Reinhart, YQ Ang - Sustainable Cities and Society, 2025 - Elsevier
This paper introduces sat2shp, a novel framework for extracting 2.5 D building massing and
use type from satellite imagery. The core of sat2shp is a Mask R-CNNsingle bondHR model …
use type from satellite imagery. The core of sat2shp is a Mask R-CNNsingle bondHR model …
[HTML][HTML] Understanding Urban Cooling of Blue–Green Infrastructure: A Review of Spatial Data and Sustainable Planning Optimization Methods for Mitigating Urban …
Many studies in the literature have assessed the blue–green infrastructure (BGI)
characteristics that influence its cooling potential for sustainable urban development …
characteristics that influence its cooling potential for sustainable urban development …
Predicting the urban stormwater drainage system state using the Graph-WaveNet
Abstract Graph Neural Networks (GNNs) have been applied to network data such as traffic
flow and water distribution systems, yet their use in predicting the state of urban stormwater …
flow and water distribution systems, yet their use in predicting the state of urban stormwater …
[HTML][HTML] Adversarial image-to-image model to obtain highly detailed wind fields from mesoscale simulations in urban environments
J Milla-Val, C Montañés, N Fueyo - Building and Environment, 2024 - Elsevier
We propose a conditional Generative Adversarial Network (cGAN) that can produce detailed
local wind fields in urban areas, comparable in level of detail to those from Computational …
local wind fields in urban areas, comparable in level of detail to those from Computational …
A fast and multifactor evacuation method considering cumulative fatality rate based on deep reinforcement learning for urban toxic gas leakage
Toxic gas leakage accidents negatively impact human health and the social economy,
affecting the sustainability and resilience of cities. It is significant to provide safe evacuation …
affecting the sustainability and resilience of cities. It is significant to provide safe evacuation …
Enhancing the accuracy of physics-informed neural networks for indoor airflow simulation with experimental data and Reynolds-averaged Navier–Stokes turbulence …
Physics-informed neural network (PINN) has aroused broad interest among fluid simulation
researchers in recent years, representing a novel paradigm in this area where governing …
researchers in recent years, representing a novel paradigm in this area where governing …
Rapid prediction for the transient dispersion of leaked airborne pollutant in urban environment based on graph neural networks
X Shao, S Zhang, X Liu, Z Liu, J Huang - Journal of Hazardous Materials, 2024 - Elsevier
Rapidly predicting airborne pollutant dispersion in urban is vital for ventilation design and
evacuation planning. Computational fluid dynamics (CFD) simulations are commonly used …
evacuation planning. Computational fluid dynamics (CFD) simulations are commonly used …
Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach
Accurately and quickly forecasting the future state of urban sensors is crucial for urban
monitoring and management. Although many forecasting approaches have been proposed …
monitoring and management. Although many forecasting approaches have been proposed …