Construction and Quality Control of Subway Wet Loess in Concealed Tunnel Based on Particle Swarm Optimization Algorithm Article Swipe
Wen Wang
,
Xin Zhang
,
Xiaoning Liu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/3655202
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/3655202
To reduce urban pressure, urban rail transit has become an effective way to reduce traffic congestion, mitigate traffic accidents, reduce environmental pollution, and improve commuting efficiency. Subway as the main means of urban public transport travel, in recent years by people’s favor, although the construction industry of rail transit is developing rapidly and the industry scale is expanding, but because the construction of rail transit construction projects is very difficult, especially in the wet loess within the concealed excavation tunnel, but also frequent accidents, and the quality of the project is not easy to guarantee, so the underground railroad wet loess within the concealed excavation tunnel construction technology is poor. Therefore, it is especially important to study the construction technology and project quality management of underground railway concealed tunnel in wet loess. In this paper, based on the in-depth study of the basic principle of quantum particle swarm optimization calculation and the realization of key engineering technologies, the particle swarm optimization algorithm is programed using MATLAB software, and the coding scheme, operation specification, and operation parameters are designed. Then, combined with the particle swarm optimization algorithm and assisted MATLAB software, the main analysis of the construction and quality control of wet loess in concealed tunnels of subway projects was carried out, mainly by systematizing the relationship between the three major elements of subway project schedule, cost, and management and the construction and quality control of wet loess in concealed tunnels of a subway, and concluded that the construction and quality control of wet loess in concealed tunnels of the subway needed schedule. It is concluded that the construction and quality control of subway wet loess tunnel requires stable schedule, adequate cost budget, and management personnel.
Related Topics
Concepts
Loess
Particle swarm optimization
Civil engineering
Excavation
Schedule
Urban rail transit
Engineering
Transport engineering
Quality (philosophy)
Control (management)
Software
Construction engineering
Computer science
Geotechnical engineering
Algorithm
Geomorphology
Programming language
Philosophy
Geology
Epistemology
Operating system
Artificial intelligence
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/3655202
- https://downloads.hindawi.com/journals/js/2022/3655202.pdf
- OA Status
- hybrid
- Cited By
- 1
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297445754
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4297445754Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2022/3655202Digital Object Identifier
- Title
-
Construction and Quality Control of Subway Wet Loess in Concealed Tunnel Based on Particle Swarm Optimization AlgorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-16Full publication date if available
- Authors
-
Wen Wang, Xin Zhang, Xiaoning LiuList of authors in order
- Landing page
-
https://doi.org/10.1155/2022/3655202Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/js/2022/3655202.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/js/2022/3655202.pdfDirect OA link when available
- Concepts
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Loess, Particle swarm optimization, Civil engineering, Excavation, Schedule, Urban rail transit, Engineering, Transport engineering, Quality (philosophy), Control (management), Software, Construction engineering, Computer science, Geotechnical engineering, Algorithm, Geomorphology, Programming language, Philosophy, Geology, Epistemology, Operating system, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
- References (count)
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19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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