Investigation of the Structure of Airflow Behind a Porous Fence Aided by CFD Based Virtual Sensor Data

Abstract

Physical experiments have difficulties to thoroughly investigate the full structure of air flow behind a porous fence. Physical measurement sensors have their limitations of data acquisitions in turbulent air flow. Computational Fluid Dynamics (CFD) technique provides an infinite number of virtual sensors that allows producing quantitative CFD based virtual sensors data for users. In this paper, a 3D CFD model is assessed by the physical sensors data, and the simulation has provided comprehensive information for studying the structure of airflow in a 3D domain