各向同性
材料性能
流离失所(心理学)
变形(气象学)
边值问题
材料设计
材料科学
边界(拓扑)
工作(物理)
结构工程
计算机科学
机械工程
复合材料
工程类
数学
光学
物理
心理学
数学分析
心理治疗师
作者
Christine Lozano,Guillermo A. Riveros,Reena Patel,Dane N. Wedgeworth,Z. McClelland,Robert C. Goss,Edward J. Perkins
摘要
Many bio-structures, such as the paddlefish rostrum, owe their remarkable resistance to permanent deformation to an optimized arrangement of hard and soft materials. This study utilizes the unique characteristics seen in biological systems to determine the optimized composition of hard and soft materials to develop an enhanced damping mechanism for dynamic load resistance. This work develops novel 3D printed prototypes inspired by the material composition of the paddlefish rostrum. The design-test-build cycle of the prototypes will consist of numerical analyses to inform the experimental boundary conditions and multi-material configuration. In biological systems, the boundary conditions determine an optimized material configuration. This study consists of quasi-static flexure experiments under different load and displacement boundary conditions to determine the optimized configuration for the given boundary condition. This investigation compares the prototypes' deformation, load transfer distribution, shear capacity, and the optimized material configuration per specific load and displacement boundary conditions against other samples with single material properties. When compared to isotropic materials currently in use, bio-inspired, multi-material structures demonstrate an enhanced stress to deformation performance . The study also determined the best material layup for the 3D printed prototype for each of the load and displacement boundary conditions.
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