Application of BIM in Tunnel Design with Compaction Pile Reinforced Foundation Carrying Carbon Assessment Based on Advanced Dynamo Visual Programming: A Case Study in China

Jie Wang, Xin Hou (), Xujie Deng, Huichao Han () and Liuliu Zhang
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Jie Wang: Ningxia Haiping Expressway Management Co., Zhongwei 755200, China
Xin Hou: School of Highway, Chang’an University, Xi’an 710064, China
Xujie Deng: School of Highway, Chang’an University, Xi’an 710064, China
Huichao Han: China Second Metallurgy Group Corporation Limited, Baotou 014020, China
Liuliu Zhang: Automatic Table Information Technology Corporation Limited, Hangzhou 311115, China

Sustainability, 2022, vol. 14, issue 23, 1-18

Abstract: Carbon emission assessment in civil engineering has gained worldwide attention due to the negative effects of greenhouse gases on the environment. Significant amounts of building materials and electric power are consumed during the construction of tunnels, causing the release of greenhouse gases into the atmosphere. In addition, building information modeling (BIM) can be utilized to realize the computerized design of tunnels, and improve construction efficiency. However, the traditional BIM software (Autodesk Revit) lacks tunnel components and is unable to directly create a three-dimensional tunnel axis. This paper adopted BIM to build a three-dimensional model of the tunnel components for tunnel and carried out batch parameterization and component lofting based on Dynamo visual programming. The BIM of the tunnel guided the construction procedures and improved the construction efficiency. Based on the emission coefficient method, we calculated the carbon emissions from each component and loaded them into the BIM during the parameterization process. After the tunnel modeling design was completed, a bill of quantities was obtained. Then, the carbon emissions from the whole tunnel construction were calculated according to the bill. Thus, the combination of BIM technology and tunnel engineering was realized; this has practical significance for reductions in emissions, and cleaner construction in relation to tunnel engineering.

Keywords: carbon assessment; tunnel engineering; building information modeling; case study; Dynamo visual programming (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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