The construction, maintenance and demolition of buildings represent a vast share on our environmental impact and generates a tremendous amount of waste. Although DNA is still at a preliminary stage of development, it already shows the potential to compare assemblies and supports better-informed decisions during the design process by detecting potential points of improvements regarding waste generation and time needed to disassemble an element. This paper presents the DNA method and two illustrative examples. The DNA method uses network analysis and Building Information Modeling to deliver information about flows of recovered and lost materials and disassembly time.
The impact of DfD is measured in material flows generated during the disassembly of a building element.
By reviewing the literature on DfD, including criteria and assessment methods, and with an explorative research approach on simple examples, we have developed a new method called Disassembly Network Analysis (DNA) to quantify the impact of DfD and link it to specific design improvements. To facilitate its application in design and construction practice, specific assessment tools are currently being developed. The paper is concluded with a feasibility study that demonstrates the realization of the proposed approach in a prototype and a use case.ĭesign for Disassembly (DfD) is a promising design strategy to improve resource efficiency in buildings. Finally, the detailed building graph is brought back to the BIM-authoring tool. In more detail, detailing patterns are stored as subgraph templates, and then when detailing a new building, a pattern is matched and replaced across a graph representation of the building using Graph Rewriting Systems (GRS). Additionally, it proposes a framework for automatically transferring those patterns to new projects. This paper presents a Parametric Building Graph (PBG) for capturing detailing patterns.
Detailing patterns are described through building information and the rationale behind them. Typically, architects and engineers tend to employ their domain knowledge and reuse successful detailing patterns that fulfill the current needs and boundary conditions. Such decisions highly influence the cost and performance of the final design. Design and detailing decisions result from numerous considerations and boundary conditions.
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