Lessons learned from deep‐seated landslides activated by tunnel excavation

Article Properties
Abstract
Cite
Barla, Giovanni, et al. “Lessons Learned from deep‐seated Landslides Activated by Tunnel Excavation”. Geomechanics and Tunnelling, vol. 8, no. 5, 2015, pp. 394-01, https://doi.org/10.1002/geot.201500028.
Barla, G., Debernardi, D., & Perino, A. (2015). Lessons learned from deep‐seated landslides activated by tunnel excavation. Geomechanics and Tunnelling, 8(5), 394-401. https://doi.org/10.1002/geot.201500028
Barla, Giovanni, Daniele Debernardi, and Andrea Perino. “Lessons Learned from deep‐seated Landslides Activated by Tunnel Excavation”. Geomechanics and Tunnelling 8, no. 5 (2015): 394-401. https://doi.org/10.1002/geot.201500028.
Barla G, Debernardi D, Perino A. Lessons learned from deep‐seated landslides activated by tunnel excavation. Geomechanics and Tunnelling. 2015;8(5):394-401.
Refrences
Title Journal Journal Categories Citations Publication Date
Time Dependent Deformations in Squeezing Tunnels. 2010
10.1007/978-3-319-09057-3_1
Full face excavation in difficult ground

 Geomechanics and Tunnelling 7 2014
Citations
Title Journal Journal Categories Citations Publication Date
Failures in loess slope-tunnel system: An overview of trigging sources, acting mechanism and mitigation strategies Engineering Failure Analysis
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 6 2024
Insights into Deformation and Mechanism of a Reactivated Landslide Occurrence from Multi-Source Data: A Case Study in Li County, China

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  • Technology: Photography
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 2024
Dynamic response and failure mode of the twin tunnel-landslide using shaking table tests Acta Geotechnica
  • Science: Geology: Petrology
  • Science: Geology: Mineralogy
  • Technology: Engineering (General). Civil engineering (General): Engineering geology. Rock mechanics. Soil mechanics. Underground construction
  • Science: Geology
 1 2023
Coordinated evolution and mechanism characteristics of the tunnel-landslide system under rainfall conditions Engineering Failure Analysis
  • Technology: Mechanical engineering and machinery
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Seismic Signal Characteristics and Numerical Modeling Analysis of the Xinmo Landslide

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  • Technology: Mechanical engineering and machinery: Renewable energy sources
  • Geography. Anthropology. Recreation: Environmental sciences
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  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
 2 2023
Citations Analysis
Category Category Repetition
Science: Geology7
Technology: Engineering (General). Civil engineering (General): Engineering geology. Rock mechanics. Soil mechanics. Underground construction5
Science: Geology: Petrology5
Science: Geology: Mineralogy5
Technology: Engineering (General). Civil engineering (General)4
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials4
Geography. Anthropology. Recreation: Environmental sciences4
Technology: Environmental technology. Sanitary engineering3
Science: Biology (General): Ecology3
Technology: Mechanical engineering and machinery3
Science: Biology (General)1
Science: Physics1
Science: Chemistry1
Science: Chemistry: General. Including alchemy1
Technology: Technology (General): Industrial engineering. Management engineering1
Technology: Chemical technology1
Science1
Geography. Anthropology. Recreation: Geography (General)1
Technology: Photography1
Technology: Mechanical engineering and machinery: Renewable energy sources1
Technology: Mining engineering. Metallurgy1
The category Science: Geology 7 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled InSAR monitoring of tunnel induced ground movements and was published in 2016. The most recent citation comes from a 2024 study titled Insights into Deformation and Mechanism of a Reactivated Landslide Occurrence from Multi-Source Data: A Case Study in Li County, China. This article reached its peak citation in 2023, with 3 citations. It has been cited in 12 different journals, 25% of which are open access. Among related journals, the Engineering Failure Analysis cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year