Wind pressure field reconstruction using a variance-extended KSI method: Both deterministic and probabilistic applications

Abstract

Wind tunnel experiment is an essential measure for acquiring wind pressure information on the surface of structures. However, it is hard to acquire the complete wind pressure field information because of the restrictions of the measuring equipment capability or inner space of rigid experimental models. For this reason, this paper proposes a reliable wind pressure field reconstruction method using a variance-extended Kriging sequence interpolation. Besides the commonly deterministic reconstruction generated via conventional methods, this method can achieve the reconstruction of wind pressure coefficient time history or statistical moments at any required instant or location from the probabilistic perspective. More importantly, it can effectively avoid the repetitive procedure in addressing the sequence interpolation problem. Numerical examples are employed to illustrate the performance of the proposed method. The experimental result demonstrates that this method can provide a reliable reconstruction of the wind pressure field, and thus may have a great potential in practice.