集成仿真工具的开放材料特性库-- MASTO
Open Material Property Library With Native Simulation Tool Integrations -- MASTO
摘要：
可靠的材料特性数据对于在不同工程领域进行可靠的模拟至关重要。在研究极端条件下的材料时，必须特别小心。超导体和由超导体和其他材料组装的设备，如超导磁体，通常在这样的极端条件下工作：在高磁场和应力下的低温下。通常，一些库或数据库用于获取数据。我们已经开始开发一个在线存储各种材料特性数据的数据库，称为开放材料特性库与本地仿真工具集成- MASTO。可以导入的数据包括但不限于高温超导材料的各向异性临界电流表面、作为温度函数的电阻率、RRR和磁场、用于描述材料行为的一般拟合等。数据也可以依赖于其他数据，并且可以进行版本控制以保证永久访问。MASTO的指导思想是为各种编程语言、建模框架和仿真软件构建易于使用的集成。目前，一个成熟的集成是为MATLAB构建的，允许用户使用一行程序获取和使用数据。在本文中，我们简要回顾了一些常用的超导体建模的材料属性数据库，提出了一个案例研究，显示如何选择的材料属性数据可以影响模拟结果，并介绍MASTO背后的主要思想。这项工作作为参考文件引用MASTO时，它被用于模拟。
英文摘要：
Reliable material property data is crucial for trustworthy simulations throughout different areas of engineering. Special care must be taken when materials at extreme conditions are under study. Superconductors and devices assembled from superconductors and other materials, like superconducting magnets, are often operated at such extreme conditions: at low temperatures under high magnetic fields and stresses. Typically, some library or database is used for getting the data. We have started to develop a database for storing all kind of material property data online called Open Material Property Library With Native Simulation Tool Integrations -- MASTO. The data that can be imported includes, but is not limited to, anisotropic critical current surfaces for high temperature superconducting materials, electrical resistivities as a function of temperature, RRR and magnetic field, general fits for describing material behaviour etc. Data can also depend on other data and it can be versioned to guarantee permanent access. The guiding idea in MASTO is to build easy-to-use integration for various programming languages, modelling frameworks and simulation software. Currently, a full-fledged integration is built for MATLAB to allow users to fetch and use data with one-liners. In this paper we briefly review some of the material property databases commonly used in superconductor modelling, present a case study showing how selection of the material property data can influence the simulation results, and introduce the principal ideas behind MASTO. This work serves as the reference document for citing MASTO when it is used in simulations.
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