BIKAS:生物启发知识获取与模拟--支持多功能设计概念生成的知识数据库

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Intelligence Pub Date : 2023-12-18 DOI:10.1162/dint_a_00240
Pavan Tejaswi Velivela, Yaoyao Fiona Zhao
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引用次数: 0

摘要

要开发出独特的生物启发多功能概念设计和方法,就需要对表现出不同功能的生物系统进行详细的获取、分析和表示。本文介绍了 BIKAS:生物启发知识获取与仿真(Bio-inspired Knowledge Acquisition and Simulacrum),这是一个展示各种功能的生物系统知识数据库,是根据文献中基于案例的生物启发实例开发的。该知识数据库代表了生物特征、生物特征的特点以及生物特征所表现出的功能,是生物特征的综合结构和结构策略的组合。此外,该知识数据库还被可扩展领域集成设计(xDID)模型所利用,该模型致力于将生物特征分类、映射并表示为各自的几何名称(称为 "领域")。将各领域的特征组合起来,就能生成多功能的概念设计。此外,还提出了元级设计因素,以帮助设计人员筛选具有相似结构策略的生物特征及其各自的功能,从而帮助设计人员快速选择和模拟生物功能。
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BIKAS: Bio-Inspired Knowledge Acquisition and Simulacrum—A Knowledge Database to Support Multifunctional Design Concept Generation
A detailed acquisition, analysis, and representation of biological systems exhibiting different functions is required to develop unique bio-inspired multifunctional conceptual designs and methods. This paper presents BIKAS: Bio-inspired Knowledge Acquisition and Simulacrum, a knowledge database of biological systems exhibiting various functionalities, developed based on case-based bio-inspired examples from literature. The knowledge database represents the biological features, their characteristics, and the function exhibited by the biological feature as a combination of its integrated structure and structural strategy. Furthermore, this knowledge database is utilized by the Expandable Domain Integrated Design (xDID) model that works on classifying, mapping, and representing biological features into their respective geometric designations called Domains. The combination of features from the Domains results in the generation of multifunctional conceptual designs. In addition, Meta-level design factors are proposed to aid designers in filtering the biological features and their respective functions having a similar structural strategy, thus aiding designers in rapidly selecting and emulating biological functions.
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来源期刊
Data Intelligence
Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.50
自引率
15.40%
发文量
40
审稿时长
8 weeks
期刊最新文献
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