材料科学
有限元法
变形(气象学)
压缩(物理)
复合材料
弹性体
体素
屈曲
流离失所(心理学)
非线性系统
千分尺
结构工程
光学
心理学
物理
量子力学
人工智能
计算机科学
工程类
心理治疗师
作者
John H. Kinney,D. L. Haupt,J.D. LeMay
出处
期刊:MRS Proceedings
[Springer Nature]
日期:1999-10-29
被引量:2
摘要
ABSTRACT The goal of this study was to develop a three–dimensional imaging method for studies of deformation in low-density materials during loading, and to implement finite element solutions of the elastic equations based on the images. Specimens of silica–reinforced polysiloxane foam pads, 15 mm in diameter by 1 mm thick, were used for this study. The nominal pore density was 50%, and the pores approximated interconnected spheres. The specimens were imaged with microtomography at ∼16µm resolution. A rotating stage with micrometer driven compression allowed imaging of the foams during deformation with precise registration of the images. A finite element mesh, generated from the image voxels, was used to calculate the mechanical properties of the structure, and the results were compared with conventional mechanical testing. The foam exhibited significant nonlinear behavior with compressive loading. The finite-element calculations from the images, which were in excellent agreement with experimental data, suggested that nonlinear behavior in the load displacement curves arises from buckling of the cell walls during compression and not from any nonlinear properties of the base elastomer. High–resolution microtomography, coupled with efficient finite–element modeling, shows promise for improving our understanding of the deformation behavior of cellular materials.
科研通智能强力驱动
Strongly Powered by AbleSci AI