Landslide Susceptibility Assessment Method during the Construction of Highways Based on the Index Complexity Algorithm

Landslides represent the most destructive and prevalent geological hazards along mountainous highways, severely imperiling the construction and maintenance of road infrastructure. To mitigate risks associated with high slopes during construction, a systematic evaluation of landslide susceptibility i...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Sustainability Ročník 16; číslo 14; s. 6147
Hlavní autoři: Lin, Daming, Zhang, Yufang, Qiu, Shumao, Bai, Mingzhou, Xia, Haoying, Qiao, Wei, Tang, Zhenyu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.07.2024
Témata:
Algorithms
Analysis
Case studies
China
Environmental engineering
Environmental protection
Environmental sustainability
Freeways
Geology
Green buildings
Highway construction
Landslides
Landslides & mudslides
Methods
Risk assessment
Road construction
Road construction industry
Roads & highways
Transportation authorities
China
ISSN:2071-1050, 2071-1050
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Landslides represent the most destructive and prevalent geological hazards along mountainous highways, severely imperiling the construction and maintenance of road infrastructure. To mitigate risks associated with high slopes during construction, a systematic evaluation of landslide susceptibility is imperative. This study introduces an assessment method developed over three years of engineering practice, integrating ten parameters that are intricately linked to construction scale, geological conditions, and engineering design. The method innovatively employs the Index Complexity Algorithm (ICA) to ascertain the weight distribution of the parameters, thereby diminishing the impact of subjective biases in qualitative assessments and enhancing the objectivity and precision of the evaluation. Utilizing the slope in China as a case study, the paper meticulously demonstrates the application of the assessment method. A comprehensive evaluation of the slope’s geological context, construction scale, and design rationality by the ICA algorithm yields a quantified risk score for the slope’s potential hazards. The findings indicate that the slope is classified as high risk (Grade III) during highway construction, necessitating the implementation of risk mitigation measures such as prestressed anchor cables and grouting anchorage. Beyond offering a novel methodological approach to landslide risk assessment, the method significantly contributes to the sustainable construction and operation of mountainous highways. Anticipated refinements in the assessment process and the parameter are poised to augment the method’s efficacy in slope engineering safety management, thereby bolstering the long-term stability and environmental sustainability of mountain highways.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2071-1050
2071-1050
DOI:10.3390/su16146147