Design Support Engine for Mass Engineered Timber Buildings

Recent developments in data modeling provide the means of aligning model information between competencies. However, due to different problem-solving approaches between disciplines, this is not sufficient to permit cross domain reasoning. A higher level of semantics is necessary for concept transfer between expertise domains. Our research defines a milieu for creating conceptual frameworks across architectural and structural design of cross laminated timber (CLT) and other mass engineered timber (MET) buildings through modeling explicit functional relationships between building components and design task tracking. MET products are a reliable and cost-effective alternative for mid-rise construction due to their resilience and suitability for prefabrication. Moreover, the maturing North American forestry stock ensures onshore resource availability for the US AEC industry. With this approach, graph-based internal conceptual models are explicitly represented to support decision making and design interaction tracking. Methods are demonstrated through flexible space allocation, structural design adaptable to global geometry at the component level, and an explicit informative layer where domain knowledge and decisions are declared. Moreover, the graph structure can be used to localize change tracking, aiding in version control. Finally, a case library prototype is demonstrated with the intent of disseminating best practice solutions in this new construction medium and facilitating their applications for learning practitioners.