High-Performance Computing Based Decision-Support System for Remediation Works on a Dam
Even in the early years of the Višegrad Dam's operation, water leakage was noted. It was required to stop leaking by inserting granular materials into subsurface holes since further escalation of this phenomena may have had a number of negative implications. However, closing subterranean karst conduits is a very complicated procedure that needs ongoing oversight and management. To assist decision-makers plan their future actions and make the best choices during remediation, we have created a decision-support system that can assess the consequences of the applied technical procedures almost instantly. In order to determine piezometric levels, flow rates, and tracer concentrations for an assumed system design and under specified boundary conditions, the system uses numerical models of hydraulics and mass transport. To get the model states that best match reality, the measuring system's data were routinely and automatically integrated into a numerical model. The system is made to allow conducting all computations and data assimilation on a high-performance computing infrastructure in order to ensure that simulation results are timely provided.
engleski
2024
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High-performance computing, genetic algorithm, decision-support tool