Advances and challenges of the conditional source-term estimation model for turbulent reacting flows
Abstract Conditional Source-term Estimation (CSE) is a turbulence–chemistry interaction
model to simulate reacting flows. This model is similar to the Conditional Moment Closure …
model to simulate reacting flows. This model is similar to the Conditional Moment Closure …
Large-scale flow simulations using lattice Boltzmann method with AMR following free-surface on multiple GPUs
S Watanabe, T Aoki - Computer Physics Communications, 2021 - Elsevier
Free-surface flow simulations require high-resolution grids to capture phenomena at the
interface as well as a long computational time. In this paper, we propose a numerical …
interface as well as a long computational time. In this paper, we propose a numerical …
[HTML][HTML] Organizing and visualizing point clouds with continuous levels of detail
P van Oosterom, S van Oosterom, H Liu… - ISPRS Journal of …, 2022 - Elsevier
Point clouds contain high detail and high accuracy geometry representation of the scanned
Earth surface parts. To manage the huge amount of data, the point clouds are traditionally …
Earth surface parts. To manage the huge amount of data, the point clouds are traditionally …
[HTML][HTML] Development of the Conditional Source-term Estimation (CSE) framework including finite-rate kinetics and non-prescribed radiation applied to a methanol …
The objective of this paper is to assess the new developments of Conditional Source-term
Estimation (CSE) framework with improved radiation modelling in large eddy simulation …
Estimation (CSE) framework with improved radiation modelling in large eddy simulation …
A cache-efficient reordering method for unstructured meshes with applications to wall-resolved large-eddy simulations
Unstructured meshes provide a distinct advantage for handing complex geometries.
However, the low cache utilization due to mesh-related data access patterns raises …
However, the low cache utilization due to mesh-related data access patterns raises …
Large eddy simulations (LES) including conditional source-term estimation (CSE) applied to two Delft-Jet-in-Hot-Coflow (DJHC) flames
For the first time, a double conditioned CSE formulation including two mixture fractions is
applied to model two Delft-Jet-in-Hot-Coflow (DJHC) flames in Large Eddy Simulation (LES) …
applied to model two Delft-Jet-in-Hot-Coflow (DJHC) flames in Large Eddy Simulation (LES) …
[HTML][HTML] A web-based strategy to reuse grids in geographic modeling
Grids are essential for the production of geospatial data and environmental modeling. Over
many years of research, numerous grids have been designed and developed. Reusing grids …
many years of research, numerous grids have been designed and developed. Reusing grids …
Rsims: Large-scale heterogeneous remote sensing images management system
X Zhou, X Wang, Y Zhou, Q Lin, J Zhao, X Meng - Remote Sensing, 2021 - mdpi.com
With the remarkable development and progress of earth-observation techniques, remote
sensing data keep growing rapidly and their volume has reached exabyte scale. However …
sensing data keep growing rapidly and their volume has reached exabyte scale. However …
Comparative study between conditional moment closure (CMC) and conditional source-term estimation (CSE) applied to piloted jet flames
Abstract Conditional Moment Closure (CMC) and Conditional Source-term Estimation (CSE)
are investigated in a direct side-by-side comparison of the Sandia flames. The objective of …
are investigated in a direct side-by-side comparison of the Sandia flames. The objective of …
A parallel N-Dimensional space-filling curve library and its application in massive point cloud management
X Guan, P Van Oosterom, B Cheng - ISPRS International Journal of Geo …, 2018 - mdpi.com
Because of their locality preservation properties, Space-Filling Curves (SFC) have been
widely used in massive point dataset management. However, the completeness …
widely used in massive point dataset management. However, the completeness …