Description
The goal of this project is to formulate and conduct benchmarks which assist in the validation of several computational models developed within the CRC (SFB 1313). Here, the main challenge arises from the possibly large uncertainties that are present in the experimental data as well as in the simulation results. A so-called validation metric which compares system response quantities of an experiment with the ones from a computational model has to integrate these uncertainties in a rigorous way. In the proposed project, such validation metrics will be developed by means of a Bayesian validation framework that incorporates parameter and conceptual uncertainty.
Project leaders
apl. Prof. Dr. rer. nat. Bernd Flemisch
PD Dr.-Ing. Sergey Oladyshkin
Researcher
Rebecca Kohlhaas (M.Sc.)
Duration
01/2018 - 12/2025
Funding
Project-related publications
(Journal-) Articles
- Scheurer, S., Schäfer Rodrigues Silva, A., Mohammadi, F., Hommel, J., Oladyshkin, S., Flemisch, B., & Nowak, W. (2021). Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation. Computational Geosciences. https://doi.org/10.1007/s10596-021-10076-9
Contact
Bernd Flemisch
apl. Prof. Dr. rer. nat.Professor for Simulation Technology
Rebecca Kohlhaas
M. Sc.Academic Staff