PSI - Issue 84
Available online at www.sciencedirect.com
ScienceDirect
Procedia Structural Integrity 84 (2026) 111–118
© 2026 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Conference Keywords: Rainfall-induced shallow landslides; SLIP model; rainfall for landslide triggering; Landslide–infrastructure interaction Abstract The article presents a simplified approach to assess the potential interaction between rainfall-induced shallow landslides (soil slips) and infrastructure. This approach is based on the prediction of soil slip initiation using the physically based SLIP model, which links slope failure to rainfall patterns and to the physical, mechanical, and hydraulic properties of the soil. The model is applied both to identify the spatial location of initiation points in non-flat areas upstream of the infrastructure and to estimate the critical rainfall conditions that may trigger such failures. The soil parameters required by the model are derived either from correlations with geological, lithological, and land use maps or, where possible, calibrated using historical landslide events. To assess critical rainfall thresholds, the model is applied by simulating synthetic daily rainfall sequences distributed over a 30-day period preceding the events—a timeframe considered significant for the SLIP model. The simulated rainfall is represented by a hyetograph composed of a “background noise” over the first 29 days and a potentially triggering peak on the 30th day. The background noise must effectively reflect the site-specific rainfall conditions, and its accurate estimation is crucial for defining the triggering peak appropriately. This note specifically focuses on this key aspect. To define a representative daily background rainfall, three methods were tested, based on statistical analyses of daily rainfall records spanning sufficiently long periods (e.g., 10–20 years). The resulting background rainfall was then accumulated over 29 days and redistributed according to three different temporal patterns. The most representative distribution was identified by applying the method to two historical landslide events that occurred in the Lombardy region. III Fabre Conference: Existing Bridges, Viaducts, and Tunnels: Research, Innovation, and Applications A Fast Methodology for Assessing the Interaction between Potential Soil Slips and Infrastructure Michele Placido Antonio Gatto a* , Lorella Montrasio a a University of Brescia, Department of Civil, Environmental, Architectural Engineering and Mathematics, Via Branze 43, 25123 Brescia, Italy
* Corresponding author. Tel.: +390303715420 E-mail address: michele.gatto@unibs.it
2452-3216 © 2026 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Conference 10.1016/j.prostr.2026.06.016
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