Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides

Kuo, Cheng-Tzu; Tsai, Pi Wen; Tai, Yih-Chin; Chan, Ya Hsin; Chen, Rou Fei; Lin, Chih Chung

doi:10.3389/feart.2020.00211

Cited by 4 publications

(9 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, the employment of ICSs may provide plausible scenarios as useful reference information. Besides, the plausible failure surface, constructed by the volume-constrained smooth minimal surface (SMS) method (Kuo et al, 2020), is also considered and evaluated in this campaign, if applicable. By constructing the ICS, the expected released volume V ICS should be given in advance.…”

Section: Application To a Historical Event And Landslide-prone Areasmentioning

confidence: 99%

“…We investigate the feasibility and practicability of the ellipse-ICS approach by application to the 2009 Hsiaolin landslide (historical event) and the delineated landslideprone area (Taitung-Yanping-T003). The plausible failure surfaces determined by the SMS method (Kuo et al, 2020) are included in the campaign if a precise delineation of the source area is available. Since the SMS method requests a precise boundary of the source area, the difference in the flow paths between ICS and SMS clarifies the impacts of the geometry of the released mass on the flow paths.…”

Section: Data Availability Statementmentioning

confidence: 99%

“…This approach has been extended for including the spatial geological structure and groundwater patterns, as available in the software Scoops3D (see, e.g., Reid et al, 2015;Tran et al, 2018;Zhang and Wang, 2019). For a specified area (convex polygon) and a predefined volume of released mass, Kuo et al (2020) published a method for boundary-fitted, volume-constrained, smooth minimal surface (SMS). Nearly at the same time, Tai et al (2020) proposed the concept of an idealized curved surface (ICS) to mimic the failure surface for performing numerical simulations.…”

Section: Introductionmentioning

confidence: 99%

“…Because the most appropriate ICS is a smooth surface, there are certainly discrepancies between the predicted scarp area and the reference one. In contrast to the smooth minimal surface (SMS) method Kuo et al (2020), where the boundary of the predicted failure surface fits the assigned border exactly, this approach relaxes the constrain and allows modification of the area as well as released volume for matching some specified area. Because of the high degree of uncertainty, the potential site of landslide sometimes has to be modified based on updated measurement (e.g., the records of inclinometer or groundwater level).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Landslide Scarp Assessments by Means of an Ellipse-Referenced Idealized Curved Surface

Wang

Wong

et al. 2021

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

The importance of scenario investigation in landslide-related hazard mitigation planning has long been recognized, where numerical simulation with physics-based models plays a crucial role because of its quantitative information. However, a plausible failure surface is a prerequisite in conducting the numerical simulation, but it often has a high degree of uncertainty due to the complex geological structure. The present study is devoted to proposing a methodology to mimic the plausible landslide failure surface (with some uncertainty) for investigating the consequent flow paths when failure takes place. Instead of a spherical shape, an idealized curved surface (ICS) is used, where two constant curvatures are, respectively, assigned in the down-slope and cross-slope directions. A reference ellipse is introduced for constructing the associated ICS with a specified failure depth regarding these two curvatures. Through translating, rotating, or side-tilting the reference ellipse, the most appropriate ICS is figured out with respect to the assigned constraints (failure area, volume of released mass, depth of sliding interface, etc.). The feasibility and practicability of this ellipse–ICS method are examined by application to a historical landslide event and one landslide-prone area. In application to the historical event, the fitness versus the landslide scarp area and its impacts on the consequent flow paths are investigated. For the landslide-prone area, five scenarios are arranged based on the surface features and the records of gaging wells. The most plausible failure scenario is therefore suggested as the prerequisite for mimicking the consequential flow paths.

show abstract

Section: Application To a Historical Event And Landslide-prone Areasmentioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Landslide Scarp Assessments by Means of an Ellipse-Referenced Idealized Curved Surface

Wang

Wong

et al. 2021

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…For a well-defined landslide scarp area, Kuo et al [17] have proposed a smooth minimal surface (SMS) method to approximate the failure surface by a smooth surface, where the constructed fracture surface is determined according to the minimal surface area, with the prerequisites of a given landslide volume and a convex polygon-outlined region. Instead of fitting the scarp boundary, Tai et al [18] suggested the concept of using an idealized curved surface (ICS) to mimic the fracture surface for numerical simulation, where the ICS is defined by two distinct curvatures in the down-slope and cross-slope directions, respectively (cf.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Preliminary Landslide Scarp Assessment with Genetic Algorithm (GA)

Wang

Wong

et al. 2022

Water

Self Cite

View full text Add to dashboard Cite

For the investigation of landslide mass movement scenarios through numerical simulation, a well-defined released mass and a precise initial source area are required as prerequisites. In the present study, we present a genetic algorithm-based approach for preliminarily assessing the landslide scarp when the local field data are limited, using an ellipse-referenced idealized curved surface (ER-ICS)—a smooth surface constructed with respect to an ellipse. According to a specified depth at the center, there are two distinct curvatures along the major and minor axes, respectively. To search for the most appropriate ICS, the reference ellipse is translated, rotated, and/or side-tilted to achieve the optimal orientation for meeting the best fitness to the assigned condition (delineated area or failure depths). The GA approach may significantly enhance the efficiency, by reducing the number of candidate ICSs and notably relaxing the searching ranges. The proposed GA-ER-ICS method is examined and shown to be feasible, by mimicking the source area of a historical landslide event and through application to a landslide-prone site. In addition to evaluating the fitness of the ICS-covered area with respect to the source scarp, the impacts of various ICSs on the flow paths are investigated as well.

show abstract

A geometry-modelling method to estimate landslide volume from source area

Leong

Cheng

2022

Landslides

View full text Add to dashboard Cite

Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides

Cited by 4 publications

References 51 publications

Landslide Scarp Assessments by Means of an Ellipse-Referenced Idealized Curved Surface

Landslide Scarp Assessments by Means of an Ellipse-Referenced Idealized Curved Surface

An Approach for Preliminary Landslide Scarp Assessment with Genetic Algorithm (GA)

A geometry-modelling method to estimate landslide volume from source area

Contact Info

Product

Resources

About