In recent years, post-failure analysis has gained prominence in the geotechnical and mining industries for risk assessment and mitigation. Estimating runout from tailings dam failures is now a regulatory requirement for the design, operation, and closure oftailings storage facilities (TSFs). The key challenge lies in modelling large deformations while accounting for continuum soil mechanics. The Material Point Method (MPM), a continuum mechanics approach, shows promise due to its efficiency in modellinglarge deformations. It is particularly valuable for studying the entire instability process, including static stability, failure initiation, post-failure behaviour, and subsequent runout. This study applies MPM to a real case: the collapse of the Las Palmas tailings dam,triggered by the 2010 Maule earthquake in Chile (Mw 8.8). The dam is located approximately 30 km northwest of Talca, in Chile’s Maule region. The computational model considers a two-dimensional plane-strain condition with fully saturated porous media and a coupled hydro-mechanical formulation. The results include velocity, deformation, displacement, and final deposition patterns. Notably, the computed runout distance aligns well with post-collapse field observations, validating the method’s capability toreplicate real cases. This research enhances our understanding of failure mechanisms and contributes to improved risk management in the mining industry.