Multi-Scale Modeling with an Inverse Mapping Capability for Designing Blast Resistant Composite Panel for Light Weight Vehicles.

[摘要] Military vehicles emphasize weight reduction for increased fuel efficiency and airborne transportation. Weight reduction and a high level of survivability to blast loads are mutually competing objectives. Composite materials that exhibit good blast resistance characteristics can be employed for reducing weight in vehicles. This dissertation aims to create a computational optimization framework to determine the ply configuration of composite laminate panels of reduced weight and a high level of survivability.First, research is performed for investigating the performance of a multi-scale simulation process for composite material analysis by integrating a fully coupled Multi-Scale Methods (MSM) framework in both micro-scale (fiber and matrix) and global-scale (vehicle) levels. The MSM framework is based on homogenization and localization between the micro-scale and the global-scale to consider deformation effects on effective material properties of the composites. The functionality of this multi-scale simulation capability and the effort to incorporate micro-constitutive material behavior at high strainrate loading into the simulation process are studied with associated case studies. Next, an inverse mapping capability for linking desired material properties with the composition of their micro structure in Micromechanics Analysis Code (MAC) in a computationally efficient manner is formulated, and an optimization analysis for identifying the desirable material properties for increasing the blast resistant characteristics is conducted. Finally, an optimization computational framework that can determine the configuration of each ply of a composite laminate panel to achieve the desired blast resistance characteristics at minimum panel thickness is created. A case study demonstrates how the new simulation approach can determine a matrix-fiber configuration and the orientation of the laminates for designing a blast resistant composite panel. Another optimal design case study of a sandwich structural composites panel is performed to present an extended capability of the computational framework.

[发布机构] University of Michigan

[效力级别] Inverse Mapping

[关键词] Multi-scale Modeling;Inverse Mapping;Blast Resistant Composite Panel;Mechanical Engineering;Engineering;Mechanical Engineering