Dynamic numerical modelling of co-seismic landslides using the 3D distinct element method: Insights from the Balta rockslide (Romania)

Mreyen, Anne-Sophie; Donati, Davide Maria; Elmo, Davide; Donzé, Frédéric; Havenith, Hans-Balder

doi:10.1016/j.enggeo.2022.106774

Cited by 13 publications

(5 citation statements)

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“…The estimated GSI range was used to obtain the Hoek-Brown envelopes for rock mass [71]. The expected GSI range (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35) for the residual state [70] was used to obtain the Hoek-Brown envelopes characterizing the landslide itself (Table 5, Figure S4). The microstructure influence on the strength decreased with the GSI, resulting in a similar behavior at the residual state for both the examined basalts (Table 5).…”

Section: Rocksmentioning

confidence: 99%

“…3D geomodelling applications include, amongst others, structural modeling [22,23], reservoir characterization (petroleum engineering), and hydrogeological engineering [24]. Applications in the field of geohazard assessment are less frequent; however, geomodels of large landslides possibly enhance the understanding of these complex sites and represent valuable input information for further numerical or physical computations [19,25,26].…”

Section: Introductionmentioning

confidence: 99%

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New Insights into the Internal Structures and Geotechnical Rock Properties of the Giant San Andrés Landslide, El Hierro Island, Spain

et al. 2023

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The San Andrés landslide on El Hierro (Canary Islands) represents a rare opportunity to study an incipient volcanic island flank collapse with an extensive onshore part. The presented research improves the knowledge of the internal structure and rock characteristics of a mega-landslide before its complete failure. The investigation combines multiple geophysical measurement techniques (active and passive seismic) and remotely sensed, high spatial resolution surveys (unmanned aerial vehicle) with in situ and laboratory geotechnical descriptions to characterize the rock properties inside and outside the San Andrés landslide. The available geophysical and geological data have been integrated into 3D geomodels to enhance their visual interpretation. The onshore geophysical investigations helped detect the possible San Andrés landslide sliding surfaces at depths between 320 m and 420 m, with a rather planar geometry. They also revealed that rocks inside and outside of the landslide had similar properties, which suggests that the previous fast movements of the landslide did not affect the bulk properties of the displaced rocks as the failure chiefly occurred along the weakened sliding plane. Uniaxial strength tests on basalt rocks further indicate a high variability and spatial heterogeneity of the rock strength properties due to the different types of volcanic rocks and their texture. The new information on the rock properties and structural setting of the San Andrés landslide can now be used to develop realistic geotechnical slope models of the onshore part of the flank collapse that are possibly applicable for slope stability or deformation calculations. It will also help assess related hazards marked by a low occurrence probability and a high impact potential.

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Section: Rocksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

New Insights into the Internal Structures and Geotechnical Rock Properties of the Giant San Andrés Landslide, El Hierro Island, Spain

et al. 2023

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“…This approach allows not only to recreate scenarios of past earthquakes but also to predict ground movement and its impact on infrastructure, e.g., [4,6,7,23,28], as well as to determine site effects and define response spectra for microzonation-e.g., [9,[19][20][21]29]. It is also possible to model long-term effects such as liquefaction or landslides [30]. Numerical models that reflect the physics of seismic wave propagation have been validated by comparing them with actual ground motion data, demonstrating their reliability, especially in the case of 3D models-e.g., [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Site Effects and Numerical Modeling of Seismic Ground Motion to Support Seismic Microzonation of Dushanbe City, Tajikistan

Hakimov,

Havenith,

Ischuk

et al. 2024

Geosciences

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In the territory of Dushanbe city, the capital of Tajikistan, detailed geological and geophysical data were collected during geophysical surveys in 2019–2020. The data comprise 5 microtremor array measurements, 9 seismic refraction tomography profiles, seismological data from 5 temporary seismic stations for standard spectral ratio calculations, 60 borehole datasets, and 175 ambient noise measurements. The complete dataset for Dushanbe was used to build a consistent 3D geologic model of the city with a size of 12 × 12 km2. The results of the seismological and geophysical surveys were compared and calibrated with borehole data to define the boundaries of each layer in the study area. The Leapfrog Works software was utilized to create a 3D geomodel. From the 3D geomodel, we extracted six 12 km long 2D geological cross-sections. These 2D geological cross-sections were used for 2D dynamic numerical modeling with the Universal Distinct Element Code software to calculate the local seismic response. Finally, the dynamic numerical modeling results were compared with the amplification functions obtained from the seismological and ambient noise data analysis. The 2D dynamic numerical modeling results allowed a better assessment of the site effects in the study area to support seismic microzonation and the determination of local peak ground acceleration changes in combination with regional seismic hazard maps. In addition, our results confirm the strong seismic amplification effects noted in some previous studies, which are attributed to the influence of local topographic and subsurface characteristics on seismic ground motions.

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“…Yu et al [20] established a three-dimensional geological model of shallow salt caverns by the 'Rhino + Griddle' method and analyzed the safe distance of two adjacent salt caverns. Mreyen et al [21] used the 'Rhino + Griddle' method to establish a three-dimensional slope model of the Balta rock avalanche in the Romanian Carpathian Mountains and simulated the real process of slope failure under earthquakes. Zhao et al [22] established a three-dimensional geological model of mining areas under complex geological conditions using the 'Rhino + Griddle' method and studied surface subsidence during groundwater fluctuation after mining.…”

Section: Introductionmentioning

confidence: 99%

Modularized and Parametric Modeling Technology for Finite Element Simulations of Underground Engineering under Complicated Geological Conditions

Wu,

Zhuo,

Pei

et al. 2024

CMES

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The surrounding geological conditions and supporting structures of underground engineering are often updated during construction, and these updates require repeated numerical modeling. To improve the numerical modeling efficiency of underground engineering, a modularized and parametric modeling cloud server is developed by using Python codes. The basic framework of the cloud server is as follows: input the modeling parameters into the web platform, implement Rhino software and FLAC 3D software to model and run simulations in the cloud server, and return the simulation results to the web platform. The modeling program can automatically generate instructions that can run the modeling process in Rhino based on the input modeling parameters. The main modules of the modeling program include modeling the 3D geological structures, the underground engineering structures, and the supporting structures as well as meshing the geometric models. In particular, various cross-sections of underground caverns are crafted as parametric modules in the modeling program. The modularized and parametric modeling program is used for a finite element simulation of the underground powerhouse of the Shuangjiangkou Hydropower Station. This complicated model is rapidly generated for the simulation, and the simulation results are reasonable. Thus, this modularized and parametric modeling program is applicable for three-dimensional finite element simulations and analyses.

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Dynamic numerical modelling of co-seismic landslides using the 3D distinct element method: Insights from the Balta rockslide (Romania)

Cited by 13 publications

References 63 publications

New Insights into the Internal Structures and Geotechnical Rock Properties of the Giant San Andrés Landslide, El Hierro Island, Spain

New Insights into the Internal Structures and Geotechnical Rock Properties of the Giant San Andrés Landslide, El Hierro Island, Spain

Assessment of Site Effects and Numerical Modeling of Seismic Ground Motion to Support Seismic Microzonation of Dushanbe City, Tajikistan

Modularized and Parametric Modeling Technology for Finite Element Simulations of Underground Engineering under Complicated Geological Conditions

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