The paper shows the preliminary results of a numerical analysis aimed at investigating the response – in terms of onset and development of damage – of a masonry building with shallow foundations undergoing slow-moving landslide-induced displacements. The analysis is performed by applying the Equivalent Frame method to a representative damaged masonry building located in the historic centre of Lungro town (Calabria region, southern Italy) interacting with a slow-moving landslide in complex-structured and weathered soils. A three-dimensional settlement pattern is imposed at the foundation level by way of a displacement-controlled analysis that makes use of both vertical and horizontal displacement information gathered from conventional (ground-based) and innovative (remote-sensing) monitoring techniques. The obtained outcomes, owing to the good matching of the modeled building response with damage data collected by multi-temporal in-situ surveys, can help in defining representative building-landslide models to be used for predicting and preventing the damage in slow-moving landslide-affected urban areas.

Numerical analysis of the nonlinear behaviour of a masonry building undergoing slow-moving landslide-induced displacements

Gianfranco Nicodemo
;
Settimio Ferlisi;Dario Peduto;
2022

Abstract

The paper shows the preliminary results of a numerical analysis aimed at investigating the response – in terms of onset and development of damage – of a masonry building with shallow foundations undergoing slow-moving landslide-induced displacements. The analysis is performed by applying the Equivalent Frame method to a representative damaged masonry building located in the historic centre of Lungro town (Calabria region, southern Italy) interacting with a slow-moving landslide in complex-structured and weathered soils. A three-dimensional settlement pattern is imposed at the foundation level by way of a displacement-controlled analysis that makes use of both vertical and horizontal displacement information gathered from conventional (ground-based) and innovative (remote-sensing) monitoring techniques. The obtained outcomes, owing to the good matching of the modeled building response with damage data collected by multi-temporal in-situ surveys, can help in defining representative building-landslide models to be used for predicting and preventing the damage in slow-moving landslide-affected urban areas.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4801811
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