<p>Empirical approaches are considered effective for supporting systems to ensure tunnel stability; however, the dynamic loads further exacerbate their efficacy, owing to increased deformation. The conventional empirical methods, RMR, Q, and GSI, used in the initial stage for support determination, often underestimate the impact of seismic load on the support structures. A computational model can better optimize the tunnel support system in an intricate situation, incorporating dynamic loads. This study integrates an empirical approach, a Q-system-based support that is considered reliable at the initial stage of tunnel support design, with computational modelling techniques to optimize and simulate the response of the rock-support system under both static and dynamic loading conditions in the headrace tunnel of the Middle Mewa Hydropower Project, located in the seismically active Higher Himalayan region. The study evaluates ground-squeezing potential and identifies structurally unstable blocks. The evaluation of squeezing indicated the perceived issues in the headrace tunnel as minor support problems, and the block model revealed the critical instability of the roof and side wedges. The results of the computational model depicted that displacement, plastic zone extent, and the number of yielded elements increase with decreasing rock-mass quality. Under static loading, the proposed support system effectively controls displacement, while under dynamic loading, floor displacement escalates compared to the static condition. The findings suggest that a combination of empirical methods with computational modelling offers a more resilient and optimal tunnel support system, abating the plastic and deformation zones surrounding the excavation area. This methodology greatly enhances the adaptability and reliability of tunnel designs, additionally aiding in cost-effective solutions in high-stress and dynamic settings of the Himalaya.</p>