Abstract
This paper presents a new framework for characterizing landslide deformation. Here, the deformation of a landslide is interpreted as a summation of three components: rigid deformation, within-mass deformation, and residual deformation. On the basis of the monitored data of the landslide deformation, these three components may be characterized separately: the rigid deformation is simulated by a summation of a trend term and a periodic term, the within-mass deformation is simulated by a high-order polynomial model, and the residual deformation is simulated by a conditional random field model. In particular, the characterization of the residual deformation, the third component of the landslide deformation, with the random field allows for a probabilistic assessment of the landslide deformation in the face of geological uncertainties. With the proposed framework, the evolution of landslide deformation in both geometric and time domains may be established, which allows for an assessment of the sliding mechanism of the landslide. Further, evolution in the geometric domain may allow for an assessment of the serviceability of infrastructures in the landslide area. To illustrate this new landslide deformation characterization framework, a case study of the Yu-Kai highway landslide in Guizhou, China is presented, through which the effectiveness of the proposed framework is demonstrated.
| Original language | English |
|---|---|
| Pages (from-to) | 4291-4309 |
| Number of pages | 19 |
| Journal | Bulletin of Engineering Geology and the Environment |
| Volume | 78 |
| Issue number | 6 |
| DOIs | |
| State | Published - 1 Sep 2019 |
Keywords
- Conditional random field
- Landslide deformation
- Rigid deformation
- Within-mass deformation
- Yu-Kai highway landslide
Fingerprint
Dive into the research topics of 'A new framework for characterizing landslide deformation: a case study of the Yu-Kai highway landslide in Guizhou, China'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver