Analysing the cost-effectiveness of improving building robustness through segmentation

Current design philosophies are not always able to guarantee the robustness of buildings, especially when extreme events cause initial failures for which alternative load paths cannot be effective. Fuse-based segmentation has the potential to address this shortcoming, by isolating collapse when its initiation is inevitable. However, no study has yet been performed to clarify under which conditions and in which contexts it can be a suitable solution to mitigate the risk of disproportionate building collapse. Most applicable frameworks for performing risk-based cost-benefit assessments cannot be directly applied to study fuse-based segmentation since they rely on overly simplified structural models that cannot represent collapse propagation phenomena. In this article, a scenario-based methodology is proposed for evaluating the cost-effectiveness of fuse-based segmentation. The proposed methodology was also applied to a case-study consisting of a six-storey reinforced concrete building, revealing that there are a wide range of contexts for which fuse-based segmentation can be cost-effective for this type of structure. • Segmentation can be used to improve robustness through collapse isolation. • Scenario-based methodology is proposed to assess cost-effectiveness of segmentation. • High-fidelity simulations used to estimate benefits in terms of risk reduction. • Case study shows that segmentation strategy can be cost-effective in many contexts. • Evaluation is most sensitive to modelling of fatalities and indirect costs.

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Publication Details

Journal
Engineering Structures
Published
2025-08-25
DOI
https://doi.org/10.1016/j.engstruct.2025.121165
Citations
2
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
1.91

Funders

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article

Analysing the cost-effectiveness of improving building robustness through segmentation

Nirvan Makoond, José M. Adam, Mark G. Stewart, Giacomo Caredda et al.
2 citations
Engineering Structures
Infrastructure Maintenance and Monitoring
1.91
article

Analysing the cost-effectiveness of improving building robustness through segmentation

Nirvan Makoond, José M. Adam, Mark G. Stewart, Giacomo Caredda, Juan Sagaseta, Marios Chryssanthopoulos
article en
2 citations

Abstract

Current design philosophies are not always able to guarantee the robustness of buildings, especially when extreme events cause initial failures for which alternative load paths cannot be effective. Fuse-based segmentation has the potential to address this shortcoming, by isolating collapse when its initiation is inevitable. However, no study has yet been performed to clarify under which conditions and in which contexts it can be a suitable solution to mitigate the risk of disproportionate building collapse. Most applicable frameworks for performing risk-based cost-benefit assessments cannot be directly applied to study fuse-based segmentation since they rely on overly simplified structural models that cannot represent collapse propagation phenomena. In this article, a scenario-based methodology is proposed for evaluating the cost-effectiveness of fuse-based segmentation. The proposed methodology was also applied to a case-study consisting of a six-storey reinforced concrete building, revealing that there are a wide range of contexts for which fuse-based segmentation can be cost-effective for this type of structure. • Segmentation can be used to improve robustness through collapse isolation. • Scenario-based methodology is proposed to assess cost-effectiveness of segmentation. • High-fidelity simulations used to estimate benefits in terms of risk reduction. • Case study shows that segmentation strategy can be cost-effective in many contexts. • Evaluation is most sensitive to modelling of fatalities and indirect costs.

Engineering StructuresVol. 343
University of Technology Sydney (AU), University of Surrey (GB), Universitat Politècnica de València (ES)
Horizon 2020 Framework Programme, European Research Council, Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana, H2020 European Research Council
Sustainable cities and communities
Openalex Percentile: Top 14%
Infrastructure Maintenance and Monitoring
1.91
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