An Intelligent Optimization Method for Large Underground Space Construction Scheme Under Low Carbon Target

SONG Tianshuai; YU Caizhao; QIN Yanlong; SHI Guoliang; LIU Zhansheng; ZHOU Enkai

doi:10.3724/j.gyjzG23111317

Volume 54 Issue 5

May 2024

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2024 > 54(5): 25-32

SONG Tianshuai, YU Caizhao, QIN Yanlong, SHI Guoliang, LIU Zhansheng, ZHOU Enkai. An Intelligent Optimization Method for Large Underground Space Construction Scheme Under Low Carbon Target[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 25-32. doi: 10.3724/j.gyjzG23111317

Citation:

SONG Tianshuai, YU Caizhao, QIN Yanlong, SHI Guoliang, LIU Zhansheng, ZHOU Enkai. An Intelligent Optimization Method for Large Underground Space Construction Scheme Under Low Carbon Target[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 25-32. doi: 10.3724/j.gyjzG23111317

Citation:

SONG Tianshuai, YU Caizhao, QIN Yanlong, SHI Guoliang, LIU Zhansheng, ZHOU Enkai. An Intelligent Optimization Method for Large Underground Space Construction Scheme Under Low Carbon Target[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 25-32. doi: 10.3724/j.gyjzG23111317

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An Intelligent Optimization Method for Large Underground Space Construction Scheme Under Low Carbon Target

doi: 10.3724/j.gyjzG23111317

1. Shanghai Baoye Group Corp., Ltd., Shanghai 201900, China;
2. Beijing University of Technology, Beijing 100124, China

Received Date: 2023-11-13
Available Online: 2024-06-22

Abstract

Abstract

The construction of large underground spaces is an important field of transformation and upgrading of the construction industry. In the construction process of large underground spaces, how to obtain the optimal construction scheme and achieve the goal of green environmental protection is an urgent problem to be solved. Aiming at low carbon, the study proposed an intelligent optimization method for large underground space construction. According to the calculation method of carbon emissions, the construction scheme optimization framework was formed, and the key factors affecting the construction energy consumption were obtained. Based on the analysis of key factors, the influence mechanism of various components and construction paths on carbon emissions was clarified. Driven by the improved Dijkstra algorithm, an intelligent optimization method of construction path was formed. On this basis, the BP neural network optimized by genetic algorithm formed the coupling relationship between carbon emission and hoisting scheme. The optimal construction scheme was obtatined accurately under the low-carbon goal. Taking the construction site of the three major building shared facilities project of the city sub-center as an example, the case analysis was carried out to verify the feasibility of the proposed method. By analyzing the construction carbon emissions, the best construction path was formed.
- carbon emissions,
- large underground space,
- construction scheme,
- intelligent optimization

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References

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