Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Computationally Enabled Material Management—Learning from Three Robotically Fabricated Demonstrators
Addressing the 12th Sustainable Development Goal (SDG) is important and has become financially necessary over the last few years. The covid-19 pandemic and the consequences of war have led to material scarcity, making the global market respond with increased prices and longer delivery times. Consequently, this has inverted the cost relationship between construction material and labor cost, making construction material a more significant expense than labor. To better understand this challenge, this research developed a computational strategy for linear timber elements focused on minimizing material use through preplanned cutting sequences that indicate waste and off-cut data. Thus, the paper analyses the material use of three robotically fabricated timber case studies to demonstrate the process. Each case study is morphologically different, representing the following construction concepts (1) Different parts, simple joinery; (2) Similar parts, complex joinery; and lastly, (3) similar parts, simple joinery. The analysis indicates the material consequences of using different timber joinery strategies. Furthermore, the research suggests a process to handle off-cuts through labeling and databases, which can lead to new sources of revenue for an industry-leading fabricator.
Computationally Enabled Material Management—Learning from Three Robotically Fabricated Demonstrators
Addressing the 12th Sustainable Development Goal (SDG) is important and has become financially necessary over the last few years. The covid-19 pandemic and the consequences of war have led to material scarcity, making the global market respond with increased prices and longer delivery times. Consequently, this has inverted the cost relationship between construction material and labor cost, making construction material a more significant expense than labor. To better understand this challenge, this research developed a computational strategy for linear timber elements focused on minimizing material use through preplanned cutting sequences that indicate waste and off-cut data. Thus, the paper analyses the material use of three robotically fabricated timber case studies to demonstrate the process. Each case study is morphologically different, representing the following construction concepts (1) Different parts, simple joinery; (2) Similar parts, complex joinery; and lastly, (3) similar parts, simple joinery. The analysis indicates the material consequences of using different timber joinery strategies. Furthermore, the research suggests a process to handle off-cuts through labeling and databases, which can lead to new sources of revenue for an industry-leading fabricator.
Computationally Enabled Material Management—Learning from Three Robotically Fabricated Demonstrators
Sustainable Development Goals Series
Thomsen, Mette Ramsgaard (Herausgeber:in) / Ratti, Carlo (Herausgeber:in) / Tamke, Martin (Herausgeber:in) / Pedersen, Jens (Autor:in) / Reinhardt, Dagmar (Autor:in)
World Congress of Architects ; 2023 ; Copenhagen, Denmark
17.11.2023
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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