A Modified Process Analysis Method and Neural Network Models for Carbon Emissions Assessment in Shield Tunnel Construction

Yibo Wang, Lei Kou, Xiaoyu He (), Wuxue Li, Huiyuan Liang and Xiaodong Shi
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Yibo Wang: School of Water Conservancy and Civil Engineering, Zhengzhou University, Zhengzhou 450001, China
Lei Kou: School of Water Conservancy and Civil Engineering, Zhengzhou University, Zhengzhou 450001, China
Xiaoyu He: Key Laboratory of Building Structure of Anhui Higher Education Institutes, Anhui Xinhua University, Hefei 230088, China
Wuxue Li: School of Water Conservancy and Civil Engineering, Zhengzhou University, Zhengzhou 450001, China
Huiyuan Liang: School of Water Conservancy and Civil Engineering, Zhengzhou University, Zhengzhou 450001, China
Xiaodong Shi: School of Water Conservancy and Civil Engineering, Zhengzhou University, Zhengzhou 450001, China

Sustainability, 2023, vol. 15, issue 12, 1-17

Abstract: This paper proposes a modified process analysis method that combines with the input–output method for carbon emissions assessment in slurry shield tunnel construction. The method was applied to analyze the carbon emissions generated during the construction procedures of a slurry shield tunnel. The results indicate that the carbon emissions from building materials account for the majority of the total emissions, while those from the shield machine and construction procedure are relatively small. In addition, BP and CNN-LSTM neural network models were established to validate the accuracy of the calculation results with model error of 0.1031. Finally, recommendations for reducing carbon emissions in the construction course of slurry shield tunnels are provided.

Keywords: process analysis method; carbon emission; shield machine; reinforced concrete precast segment; shield tunneling; neural network (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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