This work presents ongoing research on partitioned coupling frameworks for fluid-structure interaction (FSI), addressing fast transient phenomena in compressible flows, with applications to FSI-induced structural failure prediction, including rupture and fragmentation. The studied approach is based on the coupling of a compressible Lattice-Boltzmann Method (LBM) for the fluid with a non-linear explicit finite element solver for the structure, implemented within a framework that supports independent space and time discretization [1]. The LBM offers powerful characteristics, including its intrinsic locality, low numerical dissipation, and strong parallel scalability. This makes it well suited to achieve high-performance computation of the shock-dominated flow scenarios considered in this work. Fluid-structure coupling is handled using an immersed boundary formulation [2] well adapted to cartesian meshes and large interface motions. Physical consistency at the fluid-structure interface is enforced through a calibration procedure of the IBM [3]. Finally, the numerical setup relies on a supervised explicit partitioned coupling, with subcycling on the structural side and multi-level mesh transfer to limit synchronization costs while preserving accuracy. Recent efforts focused on enabling adaptive mesh refinement (AMR) on the structural side through the implementation of a dynamic data structure for field exchange at the fluid-structure interface, improving further fracture resolution. Computational overhead from the IBM calibration step is also addressed. This framework is validated against existing experimental data from the shock tube facility at SIMLab, NTNU [4] and benchmarked with a well-established finite-volume ALE-based FSI solver [5]. Comparisons of computational cost and scalability highlight the performance potential of LBM-based partitioned solvers for fast transient FSI simulations.