Fragility-based robustness assessment of steel modular building systems: Connection and building height

Robustness is an important factor in determining structures' ability to withstand accidental extreme events. However, assessment of structural safety typically does not take probabilistic factors into account, which results in disregarding uncertainties even when extreme conditions are considered. The are limited studies in the literature, highlighting the need for fragility risk assessment of the impact of inter-module connections (IMCs) and building height of steel modular building systems (MBSs) subjected to progressive collapse scenario. This paper investigates the robustness of steel modular building systems (MBSs) under progressive collapse scenarios that vary in connection type and building height. A nonlinear static pushdown analysis was carried out on 5-, 10-, and 15-story MBSs with bolted and post-tensioned rod IMCs, focusing on column removal during the analysis using OpenSees software. Results showed that taller structures are more robust due to their increased redundancy while they exhibit greater resistance to collapse than lower structures. Fragility analysis can be utilised to predict the probability of progressive collapse in the case of local damage. With the derived fragility functions, the probability of progressive collapse is quantified for different IMCs and building heights. By optimising connection types and building configurations, the results provide new insights into designing safer modular steel buildings. • Fibre-based models were developed based on distributed plasticity. • Low- to high-rise MBSs with bolt and post-tensioned rod IMCs were modelled. • The MBSs' robustness under column loss scenario was represented using nonlinear static pushdown analysis. • A fragility-based approach was employed to develop probabilistic demand models. • The probability of failure in different studied MBSs and IMCs subjected to progressive collapse was discussed.

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Publication Details

Journal
Journal of Constructional Steel Research
Published
2024-12-10
DOI
https://doi.org/10.1016/j.jcsr.2024.109199
Citations
16
Primary Topic
Structural Response to Dynamic Loads
Type
article
Field-Weighted Citation Impact
4.17
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article

Fragility-based robustness assessment of steel modular building systems: Connection and building height

Amirhossein Emamikoupaei, Konstantinos Daniel Tsavdaridis, Ali Bigdeli, Kimia Saffarzadeh
16 citations
Journal of Constructional Steel Research
Structural Response to Dynamic Loads
4.17
article

Fragility-based robustness assessment of steel modular building systems: Connection and building height

Amirhossein Emamikoupaei, Konstantinos Daniel Tsavdaridis, Ali Bigdeli, Kimia Saffarzadeh
article en
16 citations

Abstract

Robustness is an important factor in determining structures' ability to withstand accidental extreme events. However, assessment of structural safety typically does not take probabilistic factors into account, which results in disregarding uncertainties even when extreme conditions are considered. The are limited studies in the literature, highlighting the need for fragility risk assessment of the impact of inter-module connections (IMCs) and building height of steel modular building systems (MBSs) subjected to progressive collapse scenario. This paper investigates the robustness of steel modular building systems (MBSs) under progressive collapse scenarios that vary in connection type and building height. A nonlinear static pushdown analysis was carried out on 5-, 10-, and 15-story MBSs with bolted and post-tensioned rod IMCs, focusing on column removal during the analysis using OpenSees software. Results showed that taller structures are more robust due to their increased redundancy while they exhibit greater resistance to collapse than lower structures. Fragility analysis can be utilised to predict the probability of progressive collapse in the case of local damage. With the derived fragility functions, the probability of progressive collapse is quantified for different IMCs and building heights. By optimising connection types and building configurations, the results provide new insights into designing safer modular steel buildings. • Fibre-based models were developed based on distributed plasticity. • Low- to high-rise MBSs with bolt and post-tensioned rod IMCs were modelled. • The MBSs' robustness under column loss scenario was represented using nonlinear static pushdown analysis. • A fragility-based approach was employed to develop probabilistic demand models. • The probability of failure in different studied MBSs and IMCs subjected to progressive collapse was discussed.

Journal of Constructional Steel ResearchVol. 226
Oklahoma State University (US), Northampton Community College (US), Tarbiat Modares University (IR), City, University of London (GB)
Sustainable cities and communities
Openalex Percentile: Top 5%
Structural Response to Dynamic Loads
4.17
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