Cardiovascular diseases represent a major global health concern, with many cases linked to thrombus formation—a process driven by internal blood clotting. Gaining a deep understanding of the intricate biochemical, biological, and mechanical processes behind thrombus formation is critical. Due to the challenges associated with in-vivo experimentation, computational fluid dynamics (CFD) has emerged as a cost-efficient alternative for simulating this phenomenon. This research presents a novel approach using Smoothed Particle Hydrodynamics (SPH) to model and analyse thrombus formation and growth. SPH, a particle-based technique, is particularly advantageous as it inherently supports particle tracking. Herein, two distinct approaches – the penalty and dissipation approach – are applied to the thrombus growth, with a comparison made to determine the most suitable method. The penalty approach is based on a fibrin-linked velocity penalty term while in the dissipation approach the Einstein equation is linked with fibrin concentration. The model incorporates a detailed representation of the coagulation cascade, accounting for key components such as thrombin, prothrombin, fibrinogen, fibrin, and both activated and resting platelets. Implemented in the DualSPHysics solver[1], the approach also examines wall shear stress (WSS) in conjunction with thrombus development. Validation of the preliminary model was carried out through simulations of thrombus formation in a backward-facing step, as per Taylor et al.[2], and a microchannel configuration described by Colace et al.[3]. The model’s capacity for extended physical simulations further demonstrates its robustness. This study highlights SPH's potential to transform thrombus modelling, offering valuable insights into thrombus formation mechanisms and aiding in the prediction of device-induced thrombosis. The findings underline the relevance of this approach in advancing cardiovascular disease research and improving patient outcomes.