Back analysis of a debris landslide based on a real-time video recording: sliding process and post-slide investigation

Jiang, Quan; Chan, Dava; Xiong, Jun; Cui, Yifei; Dong, Jianhua; Li, Shaojun

doi:10.1007/s10064-015-0831-9

Cited by 8 publications

(3 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be seen that the whole landslide starts as a translational movement along the inclined seabed, as represented by Figures 7(a)-7(c), where a uniform displacement field, without perceptible differences, can be found within the sliding body. After entering the Likewise the sand-column collapse example, the sliding distance and the morphology in its final configuration are compared to verify the simulation results [44,45]. e sliding distance of the simulation is 420.3 m, similar to the field data, which is recorded as 420.0 m, as shown in Figure 8.…”

Section: Runout Process Simulationmentioning

confidence: 59%

Simulation of a Submarine Landslide Using the Coupled Material Point Method

Jiajie

Zhang

Wang

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Exploring the submarine landslide is challenging due to the invisibility nature and the complex soil-water interaction and large deformation throughout its runout process. The purpose of this paper is to investigate the ability of the coupled material point method (MPM) in modeling the soil flows under water. A sand-column collapse experiment is performed fully under water initially, with the results used to benchmark the MPM analysis. Thereafter, the whole failure process of a real submarine landslide in the South Mediterranean sea is simulated using MPM. The results show that MPM can be a reliable tool in capturing the postfailure behaviors of the submarine landslide. The failure mode of the landslide is flow-type, with an initial translational slide moving to a diffusive one eventually.

show abstract

Section: Runout Process Simulationmentioning

confidence: 59%

Simulation of a Submarine Landslide Using the Coupled Material Point Method

Jiajie

Zhang

Wang

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The landslide velocity is an important factor in disaster mitigation, and can be calculated using the slope geometry 5) , remote sensing 6) , and real-time video recording 7) . A real-time video of a landslide may include significant information on the slide, such as pre-failure behaviors, failure format, sliding characteristics and velocity, runout region, post-failure characteristics, and destructiveness 7) . To date, there have been no studies using video recordings focused on the liquefaction-induced landslide velocity.…”

Section: Introductionmentioning

confidence: 99%

VELOCITY OF LIQUEFACTION-INDUCED LANDSLIDE IN JONO-OGE TRIGGERED BY 7.5 Mw PALU EARTHQUAKE

Sujatmiko

Ichii

2021

J. JSCE, Ser. A1

View full text Add to dashboard Cite

On September 28, 2018, a 7.5 earthquake in Palu, Indonesia, triggered multiple phenomena including liquefaction, landslides, and tsunamis. A video recorded the landslide in Jono-Oge, located near Palu Valley, and was captured by a local citizen from his home, which was carried along by a debris flow. The video shows that the land moved like water, carrying buildings, and trees, whereas some other structures remained. The moving camera raises difficulties in the analysis because it operates with various degrees of movement. However, a velocity estimation is possible by applying two types of camera-angle analysis using non-moving buildings captured on the video as a point of reference. In this case, a red roof house and a steel tower were used. We identified that the camera moved from east to west and started at an elevation of 70 m, located 1000 m from the top of the Jono-Oge landslide at the irrigation canal. At an elevation of 68 m, the landslide velocity was 5.1 m/s and slowed down to 4 m/s after moving 200 m to an elevation of 62 m. This deceleration might correspond to a decrease in the slope inclination, from 3% to a gentler slope of only 1%. This result will be informative for the parameters used in landslides and landslide-induced tsunami simulations.

show abstract

“…1). The landslides may be propagated with geomorphologic, geologic, atmospheric and climatic effects and in addition to this fact may be triggered with various activities of human-beings [10]. The landslides that take an important part among natural hazards with regard to their devastating negative effects, cause substantial losses of human life and properties in the stricken areas as well as cause considerable destructions in the infrastructure of the urbans, in railways, highways and agricultural fields [1,5,11,12].…”

Section: Introductionmentioning

confidence: 99%

Description of failures and risks that are emerged from landslide measurement activities in infrastructure deformations

Can

Erbıyık

2017

Teh. vjesn.

View full text Add to dashboard Cite

Original scientific paper The occurrence of frequency of landslides that are considered parts of natural hazards continues to increase and their negative consequences affect human life, environment and urban infrastructures. In consideration of landslides that have remarkable destructive effects among the natural hazards, the importance of the engineering measurements and calculations in the geodetic network that is constructed in the landslide area plays an important role. A lot of factors affect the accuracy of the engineering measurements and calculations. Failure Mode Effect Analysis (FMEA) and Pareto Analysis methods are the effective tools in revealing these factors and alleviating their risks by taking relevant precautions. It may be possible to alleviate the risks to a minimum in the engineering measurements and calculations relevant to landslide parameters by these methods.We have attempted to alleviate failures and to take relevant precautions with FMEA and Pareto Analyses for the failures resulted in engineering measurements. Keywords: FMEA analysis; infrastructure deformations; geodetic and topographic measurements; landslide monitoring; Pareto analysis Opis promašaja i rizika nastalih zbog aktivnosti mjerenja odrona zemlje u deformacijama infrastruktureIzvorni znanstveni članak Učestalost pojave odrona zemlje koji se smatraju prirodnim opasnostima i dalje se povećava i njihove negativne posljedice utječu na ljudski život, okoliš i gradsku infrastrukturu. S obzirom na odrone zemlje koji među prirodnim nesrećama završavaju značajnim destruktivnim posljedicama, važnost tehničkih mjerenja i izračuna u geodetskoj mreži koja se izrađuje u područjima s odronima od velikog je značaja. Među velikim brojem čimbenika koji djeluju na točnost tehničkih mjerenja i proračuna, metode Failure Mode Effect Analize (FMEA) i Pareto Analize su učinkoviti alati u otkrivanju tih čimbenika i ublažavanju njihovih rizika poduzimanjem odgovarajućih mjera predostrožnosti. Tim je metodama moguće gotovo potpuno smanjiti rizike u tehničkim mjerenjima i proračunima relevantnim za parametre odrona. Pokušali smo ublažiti propuste nastale tehničkim mjerenjima i poduzeti odgovarajuće mjere predostrožnosti primjenom FMEA i Pareto analize.

show abstract

Back analysis of a debris landslide based on a real-time video recording: sliding process and post-slide investigation

Cited by 8 publications

References 34 publications

Simulation of a Submarine Landslide Using the Coupled Material Point Method

Simulation of a Submarine Landslide Using the Coupled Material Point Method

VELOCITY OF LIQUEFACTION-INDUCED LANDSLIDE IN JONO-OGE TRIGGERED BY 7.5 Mw PALU EARTHQUAKE

Description of failures and risks that are emerged from landslide measurement activities in infrastructure deformations

Contact Info

Product

Resources

About