Robustness interpretation of intact and damaged framed structures

This paper explores the concept of structural robustness in buildings, focusing on progressive collapse—a failure mechanism where localised damage leads to widespread structural failure. Resilient structures are expected to perform adequately under extraordinary events such as explosions, impacts, or earthquakes, yet defining ‘adequate’ performance remains challenging. Design codes often emphasise the disproportion between accidental events and their consequences, underscoring the need for a deeper understanding of collapse mechanisms. Progressive collapse involves the sequential failure of structural elements, triggering dynamic load redistribution and potential catastrophic outcomes. While strengthening all components improves damage tolerance, it is economically impractical. Strategies such as redundancy and compartmentalisation are commonly adopted, although their effectiveness is debated. Anti-seismic design contributes to robustness but is not optimal for collapse resistance. This study introduces a simulation method based on the discrete-element method to analyse collapse mechanisms and derive simplified formulas for calculating collapse loads and robustness. The methodology extends the P-Δ method to both intact and damaged structures and is applied to two-dimensional reinforced concrete frames subjected to sudden removal of beams and columns. Results highlight the importance of ductility and load redistribution in preventing fragile failure and improving structural resilience.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Civil Engineers - Forensic Engineering
Published
2025-10-15
DOI
https://doi.org/10.1680/jfoen.25.00008
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robustness interpretation of intact and damaged framed structures

Alessandro Calvi
Proceedings of the Institution of Civil Engineers - Forensic Engineering
Structural Health Monitoring Techniques
article

Robustness interpretation of intact and damaged framed structures

Alessandro Calvi
article en

Abstract

This paper explores the concept of structural robustness in buildings, focusing on progressive collapse—a failure mechanism where localised damage leads to widespread structural failure. Resilient structures are expected to perform adequately under extraordinary events such as explosions, impacts, or earthquakes, yet defining ‘adequate’ performance remains challenging. Design codes often emphasise the disproportion between accidental events and their consequences, underscoring the need for a deeper understanding of collapse mechanisms. Progressive collapse involves the sequential failure of structural elements, triggering dynamic load redistribution and potential catastrophic outcomes. While strengthening all components improves damage tolerance, it is economically impractical. Strategies such as redundancy and compartmentalisation are commonly adopted, although their effectiveness is debated. Anti-seismic design contributes to robustness but is not optimal for collapse resistance. This study introduces a simulation method based on the discrete-element method to analyse collapse mechanisms and derive simplified formulas for calculating collapse loads and robustness. The methodology extends the P-Δ method to both intact and damaged structures and is applied to two-dimensional reinforced concrete frames subjected to sudden removal of beams and columns. Results highlight the importance of ductility and load redistribution in preventing fragile failure and improving structural resilience.

Proceedings of the Institution of Civil Engineers - Forensic EngineeringVol. 179(1)
Enel (Italy) (IT)
Openalex Percentile: Top 69%
Structural Health Monitoring Techniques
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.