DAFI - Data Assimilation and Field Inversion

Ensemble based data-assimilation and field inversion.

Developed at Dr. Heng Xiao's group at Virginia Tech: Data-Enabled Computational Mechanics Laboratory at Virgnia Tech.

Website: https://dafi.readthedocs.io

Cite: C. A. Michelén Ströfer, X-L. Zhang, H. Xiao. DAFI: An open-source framework for ensemble-based data assimilation and field inversion. Communications in Computational Physics 29, pp. 1583-1622, 2021. DOI: 10.4208/cicp.OA-2020-0178. Also available at: arxiv: 2012.02651.

List of publications using DAFI:

• C. A. Michelén Ströfer, X-L. Zhang, H. Xiao, O. Coutier-Delgosha. Enforcing boundary conditions on physical fields in Bayesian inversion. Computer Methods in Applied Mechanics and Engineering 367, 113097, 2020. DOI: 10.1016/j.cma.2020.113097. Also available at: arxiv: 1911.06683.

• X.-L. Zhang, C. A. Michelén Ströfer, H. Xiao. Regularization of ensemble Kalman methods for inverse problems. Journal of Computational Physics, 416, 109517, 2020. DOI: 10.1016/j.jcp.2020.109517. Also available at: arxiv: 1910.01292.

• X.-L. Zhang, H. Xiao, Th. Gomez, O. Coutier-Delgosha. Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes. Computers and Fluids, 203, 104530, 2020. DOI: 10.1016/j.compfluid.2020.104530. Also available at: arxiv: 2004.05541.

Contributors:

• Carlos A. Michelén Ströfer
• Xinlei Zhang
• Jianxun Wang
• Rui Sun
• Jinlong Wu

Contact: Carlos A. Michelén Ströfer; Heng Xiao