Post-collapse evolution of a rapid landslide from sequential analysis with FE and SPH-based models

Lorenzo Brezzi; Edoardo Carraro; Davide Pasa; Giordano Teza; Simonetta Cola; Antonio Galgaro

doi:10.3390/geosciences11090364

Post-collapse evolution of a rapid landslide from sequential analysis with FE and SPH-based models

Lorenzo Brezzi, Edoardo Carraro, Davide Pasa, Giordano Teza, Simonetta Cola, Antonio Galgaro

Publications: Contribution to journal › Article › Peer Reviewed

Abstract

Propagation models can study the runout and deposit of potential flow-like landslides only if a reliable estimate of the shape and size of the volumes involved in the phenomenon is avail-able. This aspect becomes critical when a collapse has not yet occurred and the estimation of the unstable volume is not uniquely predictable. This work proposes a strategy to overcome this prob-lem, using two established analysis methods in sequence; first, a Strength Reduction Method (SRM)-based 3D FEM allows the estimate of the instable volume; then, this data becomes an input for a Smoothed Particle Hydrodynamics (SPH)-based model. This strategy is applied to predict the pos-sible evolution of Sant’Andrea landslide (North-Eastern Italian Alps). Such a complex landslide, which affects anhydrite–gypsum rocks and is strongly subject to rainfall triggering, can be consid-ered as a prototype for the use of this procedure. In this case, the FEM–SRM model is adopted, which calibrates using mapping, monitoring, geophysical and geotechnical data to estimate the volume involved in the potential detachment. This volume is subsequently used as the input of the SPH model. In this second phase, a sensitivity analysis is also performed to complete the evaluation of the most reliable final soil deposits. The performed analyses allow a satisfactory prediction of the post-collapse landslide evolution, delivering a reliable estimate of the volumes involved in the collapse and a reliable forecast of the landslide runout.

Original language	English
Article number	364
Journal	Geosciences (Switzerland)
Volume	11
Issue number	9
DOIs	https://doi.org/10.3390/geosciences11090364
Publication status	Published - Sept 2021
Externally published	Yes

Funding

Acknowledgments: The authors wish to thank: Marco Puiatti (Head of the Department of Soil Protection, Veneto Region, Venice), for the financial support of this research activity, Anna Galuppo (Department of Soil Protection, Veneto Region) for the technical and administrative management of the landslide monitoring system, Alvise Lucchetta and Natalino Zoggia (Department of Soil Protection, Veneto Region), Rocco Mariani (Department of Civil Defense, Veneto Region), Osvaldo Carniel and Cosimo Martinelli (Clios Srl, Belluno) for the technical and logistical support. All the used data are property of the Veneto Region; the authors have obtained permission for their use in this work. This research activity was developed thanks to the financial support of the Department of Soil Protection, Veneto Region, Venice.Acknowledgments: The authors wish to thank: Marco Puiatti (Head of the Department of Soil Pro-tection, Veneto Region, Venice), for the financial support of this research activity, Anna Galuppo (Department of Soil Protection, Veneto Region) for the technical and administrative management of the landslide monitoring system, Alvise Lucchetta and Natalino Zoggia (Department of Soil Protec-tion, Veneto Region), Rocco Mariani (Department of Civil Defense, Veneto Region), Osvaldo Carniel and Cosimo Martinelli (Clios Srl, Belluno) for the technical and logistical support. All the used data are property of the Veneto Region; the authors have obtained permission for their use in this work.

Austrian Fields of Science 2012

207206 Engineering geology

Keywords

Anhydrite–gypsum rock
Hydrogeological risk
Landslide modeling
Slope instability
Smoothed particle hydrodynamics (SPH)
Strength reduction method (SRM)

Access to Document

10.3390/geosciences11090364

Cite this

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title = "Post-collapse evolution of a rapid landslide from sequential analysis with FE and SPH-based models",

abstract = "Propagation models can study the runout and deposit of potential flow-like landslides only if a reliable estimate of the shape and size of the volumes involved in the phenomenon is avail-able. This aspect becomes critical when a collapse has not yet occurred and the estimation of the unstable volume is not uniquely predictable. This work proposes a strategy to overcome this prob-lem, using two established analysis methods in sequence; first, a Strength Reduction Method (SRM)-based 3D FEM allows the estimate of the instable volume; then, this data becomes an input for a Smoothed Particle Hydrodynamics (SPH)-based model. This strategy is applied to predict the pos-sible evolution of Sant{\textquoteright}Andrea landslide (North-Eastern Italian Alps). Such a complex landslide, which affects anhydrite–gypsum rocks and is strongly subject to rainfall triggering, can be consid-ered as a prototype for the use of this procedure. In this case, the FEM–SRM model is adopted, which calibrates using mapping, monitoring, geophysical and geotechnical data to estimate the volume involved in the potential detachment. This volume is subsequently used as the input of the SPH model. In this second phase, a sensitivity analysis is also performed to complete the evaluation of the most reliable final soil deposits. The performed analyses allow a satisfactory prediction of the post-collapse landslide evolution, delivering a reliable estimate of the volumes involved in the collapse and a reliable forecast of the landslide runout.",

keywords = "Anhydrite–gypsum rock, Hydrogeological risk, Landslide modeling, Slope instability, Smoothed particle hydrodynamics (SPH), Strength reduction method (SRM)",

author = "Lorenzo Brezzi and Edoardo Carraro and Davide Pasa and Giordano Teza and Simonetta Cola and Antonio Galgaro",

note = "Funding Information: Acknowledgments: The authors wish to thank: Marco Puiatti (Head of the Department of Soil Protection, Veneto Region, Venice), for the financial support of this research activity, Anna Galuppo (Department of Soil Protection, Veneto Region) for the technical and administrative management of the landslide monitoring system, Alvise Lucchetta and Natalino Zoggia (Department of Soil Protection, Veneto Region), Rocco Mariani (Department of Civil Defense, Veneto Region), Osvaldo Carniel and Cosimo Martinelli (Clios Srl, Belluno) for the technical and logistical support. All the used data are property of the Veneto Region; the authors have obtained permission for their use in this work. Funding Information: This research activity was developed thanks to the financial support of the Department of Soil Protection, Veneto Region, Venice.Acknowledgments: The authors wish to thank: Marco Puiatti (Head of the Department of Soil Pro-tection, Veneto Region, Venice), for the financial support of this research activity, Anna Galuppo (Department of Soil Protection, Veneto Region) for the technical and administrative management of the landslide monitoring system, Alvise Lucchetta and Natalino Zoggia (Department of Soil Protec-tion, Veneto Region), Rocco Mariani (Department of Civil Defense, Veneto Region), Osvaldo Carniel and Cosimo Martinelli (Clios Srl, Belluno) for the technical and logistical support. All the used data are property of the Veneto Region; the authors have obtained permission for their use in this work. Publisher Copyright: {\textcopyright} 2021 by the authors. Li-censee MDPI, Basel, Switzerland.",

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AU - Brezzi, Lorenzo

AU - Carraro, Edoardo

AU - Pasa, Davide

AU - Teza, Giordano

AU - Cola, Simonetta

AU - Galgaro, Antonio

N1 - Funding Information: Acknowledgments: The authors wish to thank: Marco Puiatti (Head of the Department of Soil Protection, Veneto Region, Venice), for the financial support of this research activity, Anna Galuppo (Department of Soil Protection, Veneto Region) for the technical and administrative management of the landslide monitoring system, Alvise Lucchetta and Natalino Zoggia (Department of Soil Protection, Veneto Region), Rocco Mariani (Department of Civil Defense, Veneto Region), Osvaldo Carniel and Cosimo Martinelli (Clios Srl, Belluno) for the technical and logistical support. All the used data are property of the Veneto Region; the authors have obtained permission for their use in this work. Funding Information: This research activity was developed thanks to the financial support of the Department of Soil Protection, Veneto Region, Venice.Acknowledgments: The authors wish to thank: Marco Puiatti (Head of the Department of Soil Pro-tection, Veneto Region, Venice), for the financial support of this research activity, Anna Galuppo (Department of Soil Protection, Veneto Region) for the technical and administrative management of the landslide monitoring system, Alvise Lucchetta and Natalino Zoggia (Department of Soil Protec-tion, Veneto Region), Rocco Mariani (Department of Civil Defense, Veneto Region), Osvaldo Carniel and Cosimo Martinelli (Clios Srl, Belluno) for the technical and logistical support. All the used data are property of the Veneto Region; the authors have obtained permission for their use in this work. Publisher Copyright: © 2021 by the authors. Li-censee MDPI, Basel, Switzerland.

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N2 - Propagation models can study the runout and deposit of potential flow-like landslides only if a reliable estimate of the shape and size of the volumes involved in the phenomenon is avail-able. This aspect becomes critical when a collapse has not yet occurred and the estimation of the unstable volume is not uniquely predictable. This work proposes a strategy to overcome this prob-lem, using two established analysis methods in sequence; first, a Strength Reduction Method (SRM)-based 3D FEM allows the estimate of the instable volume; then, this data becomes an input for a Smoothed Particle Hydrodynamics (SPH)-based model. This strategy is applied to predict the pos-sible evolution of Sant’Andrea landslide (North-Eastern Italian Alps). Such a complex landslide, which affects anhydrite–gypsum rocks and is strongly subject to rainfall triggering, can be consid-ered as a prototype for the use of this procedure. In this case, the FEM–SRM model is adopted, which calibrates using mapping, monitoring, geophysical and geotechnical data to estimate the volume involved in the potential detachment. This volume is subsequently used as the input of the SPH model. In this second phase, a sensitivity analysis is also performed to complete the evaluation of the most reliable final soil deposits. The performed analyses allow a satisfactory prediction of the post-collapse landslide evolution, delivering a reliable estimate of the volumes involved in the collapse and a reliable forecast of the landslide runout.

AB - Propagation models can study the runout and deposit of potential flow-like landslides only if a reliable estimate of the shape and size of the volumes involved in the phenomenon is avail-able. This aspect becomes critical when a collapse has not yet occurred and the estimation of the unstable volume is not uniquely predictable. This work proposes a strategy to overcome this prob-lem, using two established analysis methods in sequence; first, a Strength Reduction Method (SRM)-based 3D FEM allows the estimate of the instable volume; then, this data becomes an input for a Smoothed Particle Hydrodynamics (SPH)-based model. This strategy is applied to predict the pos-sible evolution of Sant’Andrea landslide (North-Eastern Italian Alps). Such a complex landslide, which affects anhydrite–gypsum rocks and is strongly subject to rainfall triggering, can be consid-ered as a prototype for the use of this procedure. In this case, the FEM–SRM model is adopted, which calibrates using mapping, monitoring, geophysical and geotechnical data to estimate the volume involved in the potential detachment. This volume is subsequently used as the input of the SPH model. In this second phase, a sensitivity analysis is also performed to complete the evaluation of the most reliable final soil deposits. The performed analyses allow a satisfactory prediction of the post-collapse landslide evolution, delivering a reliable estimate of the volumes involved in the collapse and a reliable forecast of the landslide runout.

KW - Anhydrite–gypsum rock

KW - Hydrogeological risk

KW - Landslide modeling

KW - Slope instability

KW - Smoothed particle hydrodynamics (SPH)

KW - Strength reduction method (SRM)

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DO - 10.3390/geosciences11090364

M3 - Article

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JO - Geosciences (Switzerland)

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ER -

Post-collapse evolution of a rapid landslide from sequential analysis with FE and SPH-based models

Abstract

Funding

Austrian Fields of Science 2012

Keywords

Access to Document

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