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DEVELOPMENT OF A SEARCH TOOL TO IDENTIFY STRUCTURAL DESIGN PRINCIPLES FOR BIOINSPIRED MATERIALS DESIGN

机译:确定用于生物启发性材料设计的结构设计原理的搜索工具的开发

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Natural materials are often more efficient and tend to have a wider range and combination of properties than do present-day engineered materials. Biological materials are composed from a limited set of components, but are able to achieve great diversity in their properties. The variation in properties is largely due to the different arrangements of the materials components, which form unique structures. We believe that there are underlying structural design principles, relating material structure to material properties, that commonly appear in biological materials. Because nature itself achieves highly effective design solutions, the utilization of these natural design principles could similarly improve the effectiveness of engineered materials. Materials scientists need a way to abstract relevant structural design principles from the myriad of biological materials articles for the development of bioinspired materials. This research involves the development of a data mining tool that will quickly identify potential structural design principles of biological materials with respect to a chosen material property or combination of properties. This paper presents the first stage of this process: information retrieval. An algorithm is developed to extract structural design principles' key terms and relevant passages for specified material properties from a corpus of materials journal articles. The development of this search tool is explained beginning with the determination of search term categories and appropriate search terms and continuing to the refinement of the program algorithm. An evaluation of the tool is also described comparing the program's results to those of a manual search for the structure-property relationships. The program identified 98% of the manually found structural design principle key terms, although many unanticipated passages were returned as well. Finally, the future work needed to improve the program is presented.
机译:天然材料通常比当今的工程材料更有效率,并且具有更广泛的范围和性能组合。生物材料由一组有限的成分组成,但是能够在其特性上实现极大的多样性。性能的变化很大程度上归因于形成独特结构的材料组件的不同布置。我们认为存在一些基本的结构设计原则,这些原则将材料结构与材料特性相关联,通常会出现在生物材料中。由于自然本身实现了高效的设计解决方案,因此利用这些自然设计原理可以类似地提高工程材料的有效性。材料科学家需要一种从众多生物材料文章中提取相关结构设计原理的方法,以开发生物启发性材料。这项研究涉及数据挖掘工具的开发,该工具将针对选定的材料特性或特性组合快速确定生物材料的潜在结构设计原理。本文介绍了此过程的第一阶段:信息检索。开发了一种算法,可从材料期刊文章的语料库中提取结构设计原理的关键术语和指定材料属性的相关段落。首先从确定搜索词类别和适当的搜索词开始,然后继续完善程序算法,以说明该搜索工具的开发。还描述了对该工具的评估,将程序的结果与手动搜索结构-属性关系的结果进行了比较。该程序确定了98%的手动找到的结构设计原理关键术语,尽管也返回了许多意外的段落。最后,介绍了改进程序所需的未来工作。

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