Community-Scale Seismic Vulnerability Assessment of RC Churches: A Simplified Approach for Cultural Infrastructure Resilience

This study proposes a simplified, mechanics-based methodology for assessing the seismic vulnerability of reinforced concrete (RC) churches, particularly those with basilica plans and cathedral portal frames such as a repetitive inclined-beam portal frame. The method integrates linear and nonlinear static analyses, plastic limit theory, and capacity spectrum methods to generate seismic risk indices using minimal input data, making it suitable for large-scale screening in low-data conditions. The model is calibrated using the Cathedral of Reggio Calabria and applied to the Church of San Giovanni Battista dei Fiorentini in Naples. Key outputs include simplified capacity curves and performance indicators. The methodology addresses current limitations in conventional approaches by offering an accessible tool for rapid assessment of cultural infrastructure. Future developments may incorporate AI and machine learning (AI/ML) techniques to improve typological classification and enable automated vulnerability screening at the regional scale.

Authors

Institutions

Publication Details

Journal
Infrastructures
Published
2025-09-04
DOI
https://doi.org/10.3390/infrastructures10090234
Primary Topic
Masonry and Concrete Structural Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Community-Scale Seismic Vulnerability Assessment of RC Churches: A Simplified Approach for Cultural Infrastructure Resilience

Muhammad Tayyab Naqash, Giuseppe Brandonisio
Infrastructures
Masonry and Concrete Structural Analysis
article

Community-Scale Seismic Vulnerability Assessment of RC Churches: A Simplified Approach for Cultural Infrastructure Resilience

Muhammad Tayyab Naqash, Giuseppe Brandonisio
article en

Abstract

This study proposes a simplified, mechanics-based methodology for assessing the seismic vulnerability of reinforced concrete (RC) churches, particularly those with basilica plans and cathedral portal frames such as a repetitive inclined-beam portal frame. The method integrates linear and nonlinear static analyses, plastic limit theory, and capacity spectrum methods to generate seismic risk indices using minimal input data, making it suitable for large-scale screening in low-data conditions. The model is calibrated using the Cathedral of Reggio Calabria and applied to the Church of San Giovanni Battista dei Fiorentini in Naples. Key outputs include simplified capacity curves and performance indicators. The methodology addresses current limitations in conventional approaches by offering an accessible tool for rapid assessment of cultural infrastructure. Future developments may incorporate AI and machine learning (AI/ML) techniques to improve typological classification and enable automated vulnerability screening at the regional scale.

InfrastructuresVol. 10(9)
Islamic University of Madinah (SA), University of Naples Federico II (IT)
Openalex Percentile: Top 75%
Masonry and Concrete Structural Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.