Quantitative behavioral knowledge modeling for functional case adaptation

• Published in: Research in engineering design Vol. 26; no. 4; pp. 309 - 326
• Main Authors: Gu, Chao-Chen, Hu, Jie, Wu, Kai-Jie, Zhu, Guo-Niu, Peng, Ying-Hong
• Format: Journal Article
• Language: English
• Published: London Springer London 01.10.2015; Springer Nature B.V
• Subjects: Adaptation; Automation; Behavior; CAE) and Design; Computer-Aided Engineering (CAD; Constraint modelling; Design; Designers; Engineering; Engineering Design; Flexible structures; Knowledge; Knowledge representation; Original Paper; Parameters; Case revise; Behavior effect; Behavioral constraint; Functional case; Quantitative behavioral knowledge
• ISSN: 0934-9839; 1435-6066
• DOI: 10.1007/s00163-015-0199-7

This paper focuses on a generic paradigm for quantitative behavioral knowledge modeling. The goal is to support automated functional case adaptation with behavioral inputs rather than structure parameter assignments. Functional case is a kind of functional module, integrating functional knowledge, qualitative behavioral knowledge, quantitative behavioral knowledge, and flexible structure models to support multiple design stages in a “5R” case recycle. Behavior effect analysis has been proposed to analyze the roles of behavior variables and structure parameters in the function implementing process and to establish primary relationships between them. Behavioral constraint has been introduced for knowledge representing in detailed design of a functional case. Behavior constraint matrix is presented to guide construction of fully constrained behavioral constraint equations. Examples of functional case modeling and recycling have been demonstrated. The proposed method will benefit designers in reuse of a functional case for a rapid design response in detailed design phase. Automated functional case adaption is achievable, which is especially significant for unskilled designers.