Ontology-based approach for structural design considering low embodied energy and carbon: Fid-Bau Portal

Ontology-based approach for structural design considering low embodied energy and carbon

Hou, Shangjie / Li, Haijiang / Rezgui, Yacine

Highlights • An ontology based decision support system is developed for structural design. • System provides multiple optimised solutions with low embodied energy and carbon. • System provides selection of structural material suppliers. • OWL ontology is used to integrate multiple domain knowledge in a knowledge model. • SWRL rules are applied to infer new facts and query ontology.

Abstract Buildings account for a large share of energy consumption and greenhouse gas emission. Numerous methods have been applied to operate buildings more efficiently. However, the embodied energy and carbon are identified increasingly important in terms of sustainability throughout building life cycle. In traditional building structural design approach, the engineers pay little attention on environmental aspect which has been recognised as one of the most important factors to consider in modern integrated building design approach. The emergence of Semantic Web technologies provides more opportunities to assist structural engineers in improving building sustainability. The study presented in this paper investigates how ontology and Semantic Web rules can be used in a knowledge-based system, to represent information about structural design and sustainability, and to facilitate decision-making in design process by recommending appropriate solutions for different use cases. A prototypical system named OntoSCS (Ontology for Sustainable Concrete Structure), including a Web Ontology Language (OWL) ontology as knowledge base and SWRL rules providing reasoning mechanism, is developed to offer optimised structural design solutions and selections of material suppliers. Embodied energy and CO2 are used in the system as indicators to evaluate sustainability of structure. Both ontology reasoner and case studies are employed for system validation.