A Computational Steering Framework for Large-Scale Composite Structures

Recent advances in simulation, optimization, structural health monitoring, and high-performance computing create a unique opportunity to combine the developments in these fields to formulate a Dynamic Data-Driven Applications Systems (DDDAS) Interactive Structure Composite Element Relation Network (DISCERN) framework. DISCERN consists of the following items and features: a structural health monitoring (SHM) system, an advanced fluid-structure interaction (FSI) simulation, and sensitivity analysis, optimization and control software. High-performance computing (HPC) is employed to enhance the efficiency and effectiveness of the system. The intended application of the DISCERN framework is the analysis of medium-to-large-scale composite structures. These include aerospace structures, such as military aircraft fuselage and wings, helicopter blades, and unmanned aerial vehicles, and civil structures, such as wind turbine blades and towers. The proposed DISCERN framework continuously and dynamically integrates the SHM data into the FSI analysis of these structures. This capability allows one to: (1) Shelter the structures from excessive stress levels during operation; (2) Make informed decisions to perform structural maintenance and repair; and (3) Predict the remaining fatigue life of the structure. The primal and adjoint, time-dependent FSI formulations are presented. A simple control strategy for FSI problems is formulated based on the information provided by the solution of the primal and adjoint FSI problems. Such control strategies presented are useful for computational steering simulations of interest in this work.

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