Characterization of local and global capacity criteria for collapse assessment of code-conforming RC buildings
| Autor: | Edoardo Cosenza, Gennaro Magliulo, Danilo D'Angela, Francesca Celano |
|---|---|
| Přispěvatelé: | D’Angela, Danilo, Magliulo, Gennaro, Celano, Francesca, Cosenza, Edoardo |
| Rok vydání: | 2021 |
| Předmět: |
021110 strategic
defence & security studies Earthquake engineering business.industry Computer science 0211 other engineering and technologies Collapse assessment Collapse (topology) 020101 civil engineering 02 engineering and technology Building and Construction Structural engineering Induced seismicity Geotechnical Engineering and Engineering Geology 0201 civil engineering Geophysics Fragility Margin (machine learning) Hull Code (cryptography) business Civil and Structural Engineering |
| Zdroj: | Bulletin of Earthquake Engineering. 19:3701-3743 |
| ISSN: | 1573-1456 1570-761X |
| DOI: | 10.1007/s10518-021-01115-y |
| Popis: | The paper investigates both local and global capacity criteria for collapse assessment of RC frame buildings. Both literature and regulations criteria are considered, also including the formulation recommended in the draft of the new Eurocode 8 (part 3) and other collapse criteria never investigated. The case studies consist of low-rise bare and infilled frame buildings, which are designed according to the Italian code provisions considering low-to-high seismicity sites in Italy. The seismic demand is estimated by performing multiple-stripe analysis based on inelastic modeling, also including the presence of the infills. The capacity assessment and the performance evaluation associated with the (building) collapse are carried out according to the latest approaches and methodologies of performance-based earthquake engineering. The investigated capacity criteria are characterized as a result of the collapse assessment in terms of (a) collapse demand to capacity ratios, (b) collapse fragility curves, (c) collapse margin ratios and probabilities, and (d) inter-capacity margin ratios. The findings provide novel information and technical insights into the influence of the collapse capacity criteria selection on the collapse features of the investigated buildings. In particular, the capacity criteria are quantitatively correlated to the building collapse performance, also outlining safety and economic considerations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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