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A unique containment and confinement system is under development to conduct small explosively driven physics experiments containing hazardous materials at the Proton Radiography facility at Los Alamos National Laboratory (LANL). In these experiments, the detonation of high explosives (HE) is used to drive materials to extreme loading conditions, where some of the materials tested can be extremely hazardous (e.g. nuclear materials). The main components of the system are the Inner Pressure Confinement Vessel (IPCV, which hosts the physics experiment), the Outer Pressure Containment Vessel (OPCV) and Beam Pipes and Auxiliary Hardware (BPAH). This paper describes the design and preliminary analyses of the IPCV. The body of the IPCV, also referred to as the Inner Vessel, is being designed to the criteria of the ASME Boiler and Pressure Vessel Code, Section VIII, Division 3, Code Case 2564, with the exception of the materials of construction. The closure covers have different devices mounted on them, such as feedthrough devices for sending or receiving electrical and optical signals across the pressure boundary, and valves for venting the vessel interior. The unique feature in the vessel design are the radiographic windows, tentatively made of Beryllium, which need to be strong enough to maintain the pressure boundary during dynamic events, while being radiographically low-attenuating for the purpose of proton imaging.

This paper presents an open source parallel Topology Optimization (TO) code capable of optimizing mechanical designs subject to multiple inertial constraints. The code utilizes Open-MPI and Kokkos to enable fine-grained parallelism in every major computational segment of a TO code: global equation assembly, global equation solution, and the non-linear optimization of the design. Most of the the Finite Element (FE) infrastructure for the TO code is implemented on the Fierro open source code base; which also leverages the ELEMENTS (grants FE basis functions) and MATAR (grants efficient multidimensional sparse matrix storage) libraries. Essential Numerical Algorithms such as a parallel multi-grid solver for the global equilibrium equations and non-linear optimization come from the MueLu and ROL packages (both found in the Trilinos library) respectively. It is found that the Fierro TO algorithm is capable of providing minimum compliance solutions in multi-constraint problems involving mass, several moment of inertia targets, and constraints related to load bearing regions; where the relative error in the satisfaction of all constraints seen in this work does not exceed 3%. Additionally, this work demonstrates the use of a piece-wise continuous interpolation of material density; which avoids the implementation of filters to avoid well-known mesh dependent issues such as checker-boarding.