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Liang Wang
Università di Bologna

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Preprint content
Published: 23 March 2020
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The Palinuro volcanic chain is located nearly 80 km offshore the Campania coasts (Italy), in the southern sector of the Tyrrhenian Sea. As many as 15 distinct volcanic edifices have been recently detected that covers a 90 km long and 20 km wide belt. The associated volcanism is still poorly understood but the presence of shallow seismicity and active hydrothermal activity suggest that this large volcanic complex is still active. Specific sectors of the chain show the presence of ongoing slope instability and thus the chance of mass movements cannot be ruled out in case of seismic or volcanic activity. In this work, a stability analysis for typical seismic loads in such a volcanic area has been performed through a revised limit equilibrium approach. In the revealed weaker sections, three mass failures of different scales have been reconstructed and their motion has been calculated by means of numerical models. The tsunami produced by each slide has been simulated, and considerable waves have been found in two of the three hypothesized scenarios. For the biggest slide of 2.4 km3, waves as high as 10 m could reach portions of the Calabria coasts with consequent hazardous impact.

This study belongs to a series of works focused on the volcanoes of the Tyrrhenian Sea that are very many and still poorly investigated. Considering scenarios involving mass movements of different sizes with distinct characteristics and based on geomorphological features seems to be a viable strategy to evaluate the tsunami hazard in the region.  

ACS Style

Glauco Gallotti; Guido Ventura; Alberto Armigliato; Filippo Zaniboni; Gianluca Pagnoni; Liang Wang; Salvatore Passaro; Marco Sacchi; Stefano Tinti. Stability analysis and tsunamigenic mass-failure scenarios in Palinuro volcano complex, Tyrrhenian sea. 2020, 1 .

AMA Style

Glauco Gallotti, Guido Ventura, Alberto Armigliato, Filippo Zaniboni, Gianluca Pagnoni, Liang Wang, Salvatore Passaro, Marco Sacchi, Stefano Tinti. Stability analysis and tsunamigenic mass-failure scenarios in Palinuro volcano complex, Tyrrhenian sea. . 2020; ():1.

Chicago/Turabian Style

Glauco Gallotti; Guido Ventura; Alberto Armigliato; Filippo Zaniboni; Gianluca Pagnoni; Liang Wang; Salvatore Passaro; Marco Sacchi; Stefano Tinti. 2020. "Stability analysis and tsunamigenic mass-failure scenarios in Palinuro volcano complex, Tyrrhenian sea." , no. : 1.

Article
Published: 18 December 2019 in Mathematical Geosciences
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Notwithstanding its complexity in terms of numerical implementation and limitations in coping with problems involving extreme deformation, the finite element method (FEM) offers the advantage of solving complicated mathematical problems with diverse boundary conditions. Recently, a version of the particle finite element method (PFEM) was proposed for analyzing large-deformation problems. In this version of the PFEM, the finite element formulation, which was recast as a standard optimization problem and resolved efficiently using advanced optimization engines, was adopted for incremental analysis whilst the idea of particle approaches was employed to tackle mesh issues resulting from the large deformations. In this paper, the numerical implementation of this version of PFEM is detailed, revealing some key numerical aspects that are distinct from the conventional FEM, such as the solution strategy, imposition of displacement boundary conditions, and treatment of contacts. Additionally, the correctness and robustness of this version of PFEM in conducting failure and post-failure analyses of landslides are demonstrated via a stability analysis of a typical slope and a case study on the 2008 Tangjiashan landslide, China. Comparative studies between the results of the PFEM simulations and available data are performed qualitatively as well as quantitatively.

ACS Style

Liang Wang; Xue Zhang; Filippo Zaniboni; Eugenio Oñate; Stefano Tinti. Mathematical Optimization Problems for Particle Finite Element Analysis Applied to 2D Landslide Modeling. Mathematical Geosciences 2019, 53, 81 -103.

AMA Style

Liang Wang, Xue Zhang, Filippo Zaniboni, Eugenio Oñate, Stefano Tinti. Mathematical Optimization Problems for Particle Finite Element Analysis Applied to 2D Landslide Modeling. Mathematical Geosciences. 2019; 53 (1):81-103.

Chicago/Turabian Style

Liang Wang; Xue Zhang; Filippo Zaniboni; Eugenio Oñate; Stefano Tinti. 2019. "Mathematical Optimization Problems for Particle Finite Element Analysis Applied to 2D Landslide Modeling." Mathematical Geosciences 53, no. 1: 81-103.

Journal article
Published: 28 July 2019 in Water
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Coastal boulders transported inland by marine hazards, such as tsunamis and storms, are commonly found worldwide. Studies on the transport process of coastal boulders contribute to the understanding of a wide range of phenomena such as high-energy flow events, fluid-structure interaction, and coastal sediments. Consequently, it is crucial to understand how boulders move, but even more important to determine the instability condition for boulder transport. The hydrodynamic formulas including drag and lift coefficients are widely used to predict the incipient motion of boulders while few studies are conducted to evaluate the capability of these formulas. Recently, a series of laboratory experiments carried out at the Hydraulic Engineering Laboratory (Italian acronym LIDR) of the University of Bologna, Italy, revealed that boulders can start moving when the flow height and flow velocity are lower than the theoretical threshold computed by hydraulic formulas. In this paper, we use a numerical shallow water model to reproduce these freely available laboratory data with the aim of testing the capability of the model in capturing the main evolution of the process, and of casting new light on the instability condition of coastal boulders.

ACS Style

Liang Wang; Lidia Bressan; Stefano Tinti. Numerical Investigations on the Instability of Boulders Impacted by Experimental Coastal Flows. Water 2019, 11, 1557 .

AMA Style

Liang Wang, Lidia Bressan, Stefano Tinti. Numerical Investigations on the Instability of Boulders Impacted by Experimental Coastal Flows. Water. 2019; 11 (8):1557.

Chicago/Turabian Style

Liang Wang; Lidia Bressan; Stefano Tinti. 2019. "Numerical Investigations on the Instability of Boulders Impacted by Experimental Coastal Flows." Water 11, no. 8: 1557.

Preprint content
Published: 13 June 2019
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ACS Style

Liang Wang. Reply to Referee #2. 2019, 1 .

AMA Style

Liang Wang. Reply to Referee #2. . 2019; ():1.

Chicago/Turabian Style

Liang Wang. 2019. "Reply to Referee #2." , no. : 1.

Preprint content
Published: 13 June 2019
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ACS Style

Liang Wang. Reply to Referee #1. 2019, 1 .

AMA Style

Liang Wang. Reply to Referee #1. . 2019; ():1.

Chicago/Turabian Style

Liang Wang. 2019. "Reply to Referee #1." , no. : 1.

Preprint content
Published: 06 May 2019 in Earth Surface Dynamics Discussions
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Numerical modelling is a powerful tool to study the mechanism of landslides and constructs the foundation of many physically-based assessment methods applied to natural hazards. Usually, numerical analyses of landslides are carried out on the failure mechanism and on the propagation process separately. With the advantage of dealing with large deformation problems, the particle finite element method (PFEM), that is the particle extension of the traditional FEM, has the capability of simulating the entire evolution of the landslide from the generation to the deposition phase. To figure out the difference between a unified PFEM simulation and the usually adopted approaches that separate failure mechanism (static analysis) and run-out analysis (dynamic analysis), we implement a PFEM code that is applied first to a simple homogeneous slope model. Numerical results reveal that under the so-called critical condition the landslide comes to a stop with a slight modification of the original profile, while its profile is drastically changed if strength reduction is further applied. To test the capability of our model, we choose the 2013 Cà Mengoni landslide, northern Apennines, Italy, as a case study, since it behaved as if it were formed by homogeneous material. In virtue of the back-analysis of the run-out distance that we perform by using different material strength parameters, we show that the PFEM model is able to capture the variation of the observed landslide profile, and contributes to the understanding of the dynamics of the whole sliding process.

ACS Style

Liang Wang; Xue Zhang; Stefano Tinti. Shallow landslides modeling using a particle finite element model with emphasis on landslide evolution. Earth Surface Dynamics Discussions 2019, 1 -19.

AMA Style

Liang Wang, Xue Zhang, Stefano Tinti. Shallow landslides modeling using a particle finite element model with emphasis on landslide evolution. Earth Surface Dynamics Discussions. 2019; ():1-19.

Chicago/Turabian Style

Liang Wang; Xue Zhang; Stefano Tinti. 2019. "Shallow landslides modeling using a particle finite element model with emphasis on landslide evolution." Earth Surface Dynamics Discussions , no. : 1-19.

Original paper
Published: 01 March 2019 in Landslides
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This paper presents a mass flow model that includes gravity force, material stresses, drag force and topography effects solving a set of hyperbolic partial differential equations by using a so-called depth-averaged technique. The model is non-linear and general enough to tackle various problems of interest for geophysics and environmental engineering, such as the dynamic evolution of flow-like avalanches, the dam break problem (involving only water flow) and the generation of tsunami waves by landslides. The model is based on a Eulerian fluid solver, using a second-order central scheme with a minmod-like limiter; is tested against a number of typical benchmark cases, including analytical solutions and experimental laboratory data; and also compared with other numerical codes. Through this model, we study a historical tsunamigenic event occurred in 1783 in Scilla, Italy, that resulted to be catastrophic with a toll exceeding 1500 fatalities. The landslide is reconstructed by a mixture debris flow, and results are compared with the observational data and other numerical simulations.

ACS Style

Liang Wang; Filippo Zaniboni; Stefano Tinti; Xue Zhang. Reconstruction of the 1783 Scilla landslide, Italy: numerical investigations on the flow-like behaviour of landslides. Landslides 2019, 16, 1065 -1076.

AMA Style

Liang Wang, Filippo Zaniboni, Stefano Tinti, Xue Zhang. Reconstruction of the 1783 Scilla landslide, Italy: numerical investigations on the flow-like behaviour of landslides. Landslides. 2019; 16 (6):1065-1076.

Chicago/Turabian Style

Liang Wang; Filippo Zaniboni; Stefano Tinti; Xue Zhang. 2019. "Reconstruction of the 1783 Scilla landslide, Italy: numerical investigations on the flow-like behaviour of landslides." Landslides 16, no. 6: 1065-1076.