Print Email Facebook Twitter A state observer based data assimilation method between RANS and robotic PIV data Title A state observer based data assimilation method between RANS and robotic PIV data Author Tumuluru Ramesh, Nikhilesh (TU Delft Aerospace Engineering) Contributor Sciacchitano, A. (mentor) Saredi, E. (mentor) Degree granting institution Delft University of Technology Programme Aerospace Engineering Date 2019-08-29 Abstract Experimental fluid dynamics and computational fluid dynamics have traditionally been treated as disparate fields of study. However, each field has its own unique set of advantages and disadvantages. Data assimilation is a field that can be used to leverage some of the advantages each field offers to help compensate mutualweaknesses. In this thesis, a state observer based data assimilation method is used to assimilate 3-D experimental data obtained in a wind tunnel experiment onto a steady RANS simulation. The experimental data is considered as the ground truth and is used to condition the RANS simulation. An understanding of the working of the method along with a study on the effect of different parameters of the state observer method are gathered by first applying it on the 1-D viscous Burgers equation and a 2-D CFD simulation. For the 3-D case, experimental data is obtained by performing a wind tunnel experiment using robotic PIV to map the time-averaged velocity field around a bluff body following which the data is assimilated onto a steady RANS simulation of the same body. Application of this method helps to recreate topological features and velocityfields of the flow with better accuracy than a baseline CFD simulation. Finally, the effects of the different parameters on the success of the method along with recommendations for improving the method are provided. Subject PIVCFDData AssimilationState observer To reference this document use: http://resolver.tudelft.nl/uuid:178e2496-cf4a-440b-a877-ed34b2206284 Embargo date 2021-12-31 Part of collection Student theses Document type master thesis Rights © 2019 Nikhilesh Tumuluru Ramesh Files PDF Master_Thesis_Nikhilesh_TR.pdf 17.04 MB Close viewer /islandora/object/uuid:178e2496-cf4a-440b-a877-ed34b2206284/datastream/OBJ/view