[92] A Knowledge Graph Model for Performance-Based Generative Design and Its Applications in Accelerated Design

Paper Description extracted from PDF · abstract · 111 words

Data integration and information enrichment pose significant challenges to the advancement of Performance -based Generative Design (PGD). One potential solution to these challenges is the utilization of Knowledge Graph (KG). However, the implementation of K G in PGD, particularly in leveraging expert knowledge to accelerate the process, remains an area that has not been thoroughly explored. In this research, we propose a PGD -KG schema to capture and represent the topological relationships and functionalities within PGD. We also introduce a method for automatically generating PGD-KG models from parametric design models enriched with semantic information. Additionally, we develop reasoning algorithms based on expert knowledge of sustainable design to facilitate automated performance evaluation.