Next Article in Journal
Heritage-Aware Generative AI Workflow for Islamic Geometry in Interiors
Previous Article in Journal
Virtual Museums as Meaning-Modeling Systems in Digital Heritage
Previous Article in Special Issue
Street and Urban Muralism in Public Art: Conservation Between Evolution and Research in the Methods of the Istituto Centrale per Il Restauro
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Seismic Risk Assessment and Sustainable Geotechnical Solutions for Building Heritage: A Case Study in Southeastern Sicily

Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy
*
Author to whom correspondence should be addressed.
Heritage 2025, 8(11), 485; https://doi.org/10.3390/heritage8110485
Submission received: 9 October 2025 / Revised: 16 November 2025 / Accepted: 17 November 2025 / Published: 18 November 2025
(This article belongs to the Special Issue History, Conservation and Restoration of Cultural Heritage)

Abstract

The protection of historic buildings in seismic-prone regions is a critical challenge requiring strategies that balance structural safety with cultural preservation. This study proposes an integrated methodological framework for assessing seismic risk in heritage contexts by combining Geographic Information System (GIS)-based large-scale analyses with detailed Finite Element Method (FEM) simulations. At the urban scale, the framework is applied to more than 70 buildings in the historic center of Bronte (Eastern Sicily, Italy) to evaluate Soil–Structure Interaction (SSI) effects and identify priority areas for mitigation. At a detailed scale, the approach is validated through an in-depth investigation of the San Giovanni Evangelista bell-tower, a representative historic structure within the study area. For this case, sustainable Geotechnical Seismic Isolation (GSI) systems using well-graded Gravel–Rubber Mixtures (wgGRMs) are numerically tested as a low-impact retrofitting strategy. The results demonstrate that combining large-scale mapping with detailed structural modeling provides both broad urban insight and accurate site-specific evaluations, offering a replicable decision-support tool for seismic risk reduction in heritage environments. Additionally, wgGRMs-based GSI system significantly reduces seismic accelerations and drifts, offering a low-impact, sustainable retrofitting solution that reuses waste materials and fully preserves architectural integrity.
Keywords: Soil–Structure Interaction (SSI); Geotechnical Seismic Isolation (GSI); heritage conservation; GIS-based seismic risk assessment; well-graded Gravel–Rubber Mixtures (wgGRMs) Soil–Structure Interaction (SSI); Geotechnical Seismic Isolation (GSI); heritage conservation; GIS-based seismic risk assessment; well-graded Gravel–Rubber Mixtures (wgGRMs)

Share and Cite

MDPI and ACS Style

Fiamingo, A.; Mangione, E.; Abate, G.; Massimino, M.R. Seismic Risk Assessment and Sustainable Geotechnical Solutions for Building Heritage: A Case Study in Southeastern Sicily. Heritage 2025, 8, 485. https://doi.org/10.3390/heritage8110485

AMA Style

Fiamingo A, Mangione E, Abate G, Massimino MR. Seismic Risk Assessment and Sustainable Geotechnical Solutions for Building Heritage: A Case Study in Southeastern Sicily. Heritage. 2025; 8(11):485. https://doi.org/10.3390/heritage8110485

Chicago/Turabian Style

Fiamingo, Angela, Ettore Mangione, Glenda Abate, and Maria Rossella Massimino. 2025. "Seismic Risk Assessment and Sustainable Geotechnical Solutions for Building Heritage: A Case Study in Southeastern Sicily" Heritage 8, no. 11: 485. https://doi.org/10.3390/heritage8110485

APA Style

Fiamingo, A., Mangione, E., Abate, G., & Massimino, M. R. (2025). Seismic Risk Assessment and Sustainable Geotechnical Solutions for Building Heritage: A Case Study in Southeastern Sicily. Heritage, 8(11), 485. https://doi.org/10.3390/heritage8110485

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop