View in EDS HTML Full Text PDF Full Text

Stability Evaluation of Vegetation-Covered Highway Slopes Employing Integrated CR-InSAR and Finite Element Simulation.

Saved in:
Bibliographic Details
Title: Stability Evaluation of Vegetation-Covered Highway Slopes Employing Integrated CR-InSAR and Finite Element Simulation.
Authors: Peng, Wei1 (AUTHOR), Zhou, Jiachen1,2 (AUTHOR), Zhang, Junhui2,3 (AUTHOR) zjhseu@163.com, Zhu, Jun1 (AUTHOR), Xing, Xuemin1,2 (AUTHOR), Zhang, Shiping2,3 (AUTHOR)
Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1350. 19p.
Subjects: Slope stability, Slopes (Soil mechanics), Finite element method, Precast concrete construction, Safety factor in engineering
Abstract: Highlights: What are the main findings? CR-InSAR enables high-precision monitoring of vegetated highway slopes, achieving an RMSE of <0.3 mm against in situ sensors and capturing annual deformation rates of 0.1–0.4 mm/y. InSAR-constrained finite element strength reduction method shows that the current strength reduction factors are 0.11 and 0.12, which are far lower than the critical strength reduction factors of 1.28 and 1.22 for complete failure, which indicates that the cast-in-place and prefabricated frame beams demonstrated comparable support effectiveness. What are the implications of the main findings? The integrated CR-InSAR and finite element framework provides a replicable method for quantitative stability assessment of vegetated slopes, overcoming the limitations of traditional inspections and InSAR in low-coherence areas. Field-validated equivalence of prefabricated and cast-in-place frame beams offers strong support for promoting low-carbon, efficient prefabricated technologies in mountainous highway construction. Highway slopes susceptible to landslides are typically reinforced by vegetation cover and the application of concrete frame beams, but vegetation cover may degrade the accuracy of InSAR deformation monitoring. We installed artificial corner reflectors (CRs) on the frame beams and assessed the stability of the vegetated slope using finite element simulation constrained by InSAR deformation data. A study was conducted on a typical landslide-risk slope within the K87 + 391.5–K87 + 565 section of the Guihuang highway, which is reinforced with cast-in-place and prefabricated concrete beams. Experimental results demonstrate that two adjacent corner reflectors (CRs) on the two types of frame beams of the slope can be successfully identified, with deformation rates ranging from 0.1 to 0.4 mm/y, and the root mean square error (RMSE) of discrepancies between CR-InSAR measurements and slope displacement monitoring sensors is less than 0.3 mm. Meanwhile, the current strength reduction factor values for slopes reinforced with cast-in-place and prefabricated concrete beams, as constrained by InSAR multi-dimensional deformation, are 0.11 and 0.12, respectively which are much lower than the critical strength reduction factors of 1.28 and 1.22 corresponding to full coalescence of plastic strain from the slope toe to the slope crest, which indicates that the cast-in-place and prefabricated frame beams exhibit comparable support performance. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 193715381
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Stability Evaluation of Vegetation-Covered Highway Slopes Employing Integrated CR-InSAR and Finite Element Simulation.
– Name: Author
  Label: Authors
  Group: Au
  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Peng%2C+Wei%22&quot;&gt;Peng, Wei&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhou%2C+Jiachen%22&quot;&gt;Zhou, Jiachen&lt;/searchLink&gt;&lt;relatesTo&gt;1,2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhang%2C+Junhui%22&quot;&gt;Zhang, Junhui&lt;/searchLink&gt;&lt;relatesTo&gt;2,3&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; zjhseu@163.com&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhu%2C+Jun%22&quot;&gt;Zhu, Jun&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Xing%2C+Xuemin%22&quot;&gt;Xing, Xuemin&lt;/searchLink&gt;&lt;relatesTo&gt;1,2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhang%2C+Shiping%22&quot;&gt;Zhang, Shiping&lt;/searchLink&gt;&lt;relatesTo&gt;2,3&lt;/relatesTo&gt; (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Remote+Sensing%22&quot;&gt;Remote Sensing&lt;/searchLink&gt;. May2026, Vol. 18 Issue 9, p1350. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Slope+stability%22&quot;&gt;Slope stability&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Slopes+%28Soil+mechanics%29%22&quot;&gt;Slopes (Soil mechanics)&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Finite+element+method%22&quot;&gt;Finite element method&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Precast+concrete+construction%22&quot;&gt;Precast concrete construction&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Safety+factor+in+engineering%22&quot;&gt;Safety factor in engineering&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: What are the main findings? CR-InSAR enables high-precision monitoring of vegetated highway slopes, achieving an RMSE of &lt;0.3 mm against in situ sensors and capturing annual deformation rates of 0.1–0.4 mm/y. InSAR-constrained finite element strength reduction method shows that the current strength reduction factors are 0.11 and 0.12, which are far lower than the critical strength reduction factors of 1.28 and 1.22 for complete failure, which indicates that the cast-in-place and prefabricated frame beams demonstrated comparable support effectiveness. What are the implications of the main findings? The integrated CR-InSAR and finite element framework provides a replicable method for quantitative stability assessment of vegetated slopes, overcoming the limitations of traditional inspections and InSAR in low-coherence areas. Field-validated equivalence of prefabricated and cast-in-place frame beams offers strong support for promoting low-carbon, efficient prefabricated technologies in mountainous highway construction. Highway slopes susceptible to landslides are typically reinforced by vegetation cover and the application of concrete frame beams, but vegetation cover may degrade the accuracy of InSAR deformation monitoring. We installed artificial corner reflectors (CRs) on the frame beams and assessed the stability of the vegetated slope using finite element simulation constrained by InSAR deformation data. A study was conducted on a typical landslide-risk slope within the K87 + 391.5–K87 + 565 section of the Guihuang highway, which is reinforced with cast-in-place and prefabricated concrete beams. Experimental results demonstrate that two adjacent corner reflectors (CRs) on the two types of frame beams of the slope can be successfully identified, with deformation rates ranging from 0.1 to 0.4 mm/y, and the root mean square error (RMSE) of discrepancies between CR-InSAR measurements and slope displacement monitoring sensors is less than 0.3 mm. Meanwhile, the current strength reduction factor values for slopes reinforced with cast-in-place and prefabricated concrete beams, as constrained by InSAR multi-dimensional deformation, are 0.11 and 0.12, respectively which are much lower than the critical strength reduction factors of 1.28 and 1.22 corresponding to full coalescence of plastic strain from the slope toe to the slope crest, which indicates that the cast-in-place and prefabricated frame beams exhibit comparable support performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193715381
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/rs18091350
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1350
    Subjects:
      – SubjectFull: Slope stability
        Type: general
      – SubjectFull: Slopes (Soil mechanics)
        Type: general
      – SubjectFull: Finite element method
        Type: general
      – SubjectFull: Precast concrete construction
        Type: general
      – SubjectFull: Safety factor in engineering
        Type: general
    Titles:
      – TitleFull: Stability Evaluation of Vegetation-Covered Highway Slopes Employing Integrated CR-InSAR and Finite Element Simulation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Peng, Wei
      – PersonEntity:
          Name:
            NameFull: Zhou, Jiachen
      – PersonEntity:
          Name:
            NameFull: Zhang, Junhui
      – PersonEntity:
          Name:
            NameFull: Zhu, Jun
      – PersonEntity:
          Name:
            NameFull: Xing, Xuemin
      – PersonEntity:
          Name:
            NameFull: Zhang, Shiping
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20724292
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Remote Sensing
              Type: main
ResultId 1