Disaster Resilient and Self-Assessing Multifunctional Transportation Structures

Corresponding data set for Tran-SET Project No. 18STTAM02. Abstract of the final report is stated below for reference: "This research designs and characterizes multifunctional materials, in particular inexpensive shape memory alloys, for transportation structures that possess excellent mechanical properties and self-sensing capabilities for strengthening and health monitoring. The properties are the Fe-SMAs are sensitive to part size in that the grain size of the material, which can be grown to several inches, should exceed the smallest dimension of the part. In the current work, maximum part size of the large dimension Fe-SMA rods were determined through detailed microstructural investigations. Samples were subjected to abnormal grain growth heat treatments and found out that part size be increased up to 4.6 mm. Work to correlate computational and experimental work concerning the magnetic sensing of Fe-SMA transformation was conducted using via tensile loading of Fe-SMA wire. A model was developed to simulate a grain by grain transformation of a wire with large (4mm) grains along the wire, modeled as partitioned segments."Tran-SET项目编号18STTAM02的对应数据集。以下附上最终报告摘要以供参考：本研究针对交通结构设计并表征了多功能材料，尤其是低成本形状记忆合金（Shape Memory Alloys, SMA）——这类材料具备优异的力学性能与自传感能力，可用于结构加固与健康监测。铁基形状记忆合金（Fe-SMAs）的性能对零件尺寸敏感：其晶粒尺寸可生长至数英寸，且需大于零件的最小尺寸。在本研究中，通过细致的微观结构表征，确定了大尺寸铁基形状记忆合金棒材的最大零件尺寸。试样经异常晶粒生长热处理后，发现零件尺寸可提升至4.6 mm。本研究开展了关联铁基形状记忆合金相变磁传感的计算与实验研究，通过铁基形状记忆合金线材的拉伸加载完成相关测试。研究开发了一款模型，用于模拟线材的逐晶粒相变过程：该线材带有沿轴向分布的4mm大尺寸晶粒，并以分段分区的方式进行建模。