Analysis of an empirical seismic fragility prediction model of wooden roof truss buildings
Source abstract
Abstract
To explore the vulnerability of wood roof truss buildings (WRTBs) under earthquake action, the empirical damage typical characteristics of 12,343.4 × 104 m2 and 21,490 buildings of this type of building that suffered different degrees of loss in 22 typical destructive earthquakes in China from 1993 to 2013 were observed and analysed. Based on the analysis methods of the nonlinear vulnerability model, probability statistics, and prediction model, a novel fragility probability matrix, plane, surface, nonlinear regression curve, and function model of different intensity zones under the latest Chinese macrointensity standard (GB/T 17742–2020, CMS-20) assessment were established, and vulnerability curve models were employed based on the damage ratio (DR) and actual cumulative damage probability (ACDP) parameters. According to 1993–1999, 2000–2010, and after 2011, the time-varying fragility specimen data were classified and censusly analysed. The fragility prediction curve models of DR and ACDP were performed using the probabilistic demand modal analysis method. Combined with the matrix probability and confidence interval calculation model, a novel regional mean fragility index domain model for typical structural (WRTB) vulnerability assessment was developed.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Masonry and Concrete Structural Analysis · Wood Treatment and Properties · Tree Root and Stability Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (45)
Show source-provided references
1. Analysis of probability matrix model for seismic damage vulnerability of highway bridges10.1080/19475705.2022.2077146 ↗
2. Comparison of vulnerabilities in typical bridges using macroseismic intensity scales
3. Initial motion analysis of traditional Chinese rocking timber frame subjected to horizontal ground motion: theoretical and numerical investigations10.1016/j.engstruct.2019.109898 ↗
4. Probabilistic modeling of timber structures10.1016/j.strusafe.2006.07.007 ↗
5. Seismic design and performance evaluation of self-centering timber moment resisting frames10.1016/j.soildyn.2018.08.038 ↗
6. An empirical seismic vulnerability model10.1007/s10518-022-01374-3 ↗
7. Seismic vulnerability of historic brick masonry buildings in Vienna10.1007/s10518-022-01367-2 ↗
8. Assessment of seismic damage inspection and empirical vulnerability probability matrices for masonry structure
9. Seismic vulnerability of timber-reinforced earthen structures through standard and non–standard limit analysis10.1016/j.engstruct.2020.110663 ↗
10. Comparison of macroseismic intensity scales by considering empirical observations of structural seismic damage10.1177/8755293020944174 ↗
11. Analysis of the probability matrix model for the seismic damage vulnerability of empirical structures10.1007/s11069-020-04187-2 ↗
12. Seismic damage of masonry infilled timber houses in the 2013 M7.0 Lushan Earthquake in China10.1193/012914EQS023T ↗
13. Analysis of structural failures in timber structures: Typical causes for failure and failure modes10.1016/j.engstruct.2011.02.045 ↗
14. Analysis of the Seismic Vulnerability of Buildings in the Lushan Ms7.0 Earthquake in the Sichuan Province of China
15. Vulnerability models of brick and wood structures considering empirical seismic damage observations10.1016/j.istruc.2021.09.023 ↗
16. Seismic damage assessment of Nepalese cultural heritage building and seismic retrofit strategies: 25 April 2015 Gorkha (Nepal) earthquake10.1016/j.engfailanal.2018.02.007 ↗
17. Structural failure in large-span timber structures: a comprehensive analysis of 230 cases10.1016/j.strusafe.2017.11.004 ↗
18. Vulnerability prediction model of typical structures considering empirical seismic damage observation data10.1007/s10518-022-01395-y ↗
19. Statistical and vulnerability prediction model considering empirical seismic damage to masonry structures10.1016/j.istruc.2022.03.024 ↗
20. Assessing the earthquake systemic vulnerability of the urban centres in the South-East region of Romania. The tale of Galati and Braila cities, Romania10.1080/19475705.2022.2065219 ↗
21. Empirical seismic vulnerability analysis of infrastructure systems in Nepal10.1007/s10518-021-01219-5 ↗
22. The heuristic vulnerability model: fragility curves for masonry buildings10.1007/s10518-021-01063-7 ↗
23. Towards the updated Italian seismic risk assessment: exposure and vulnerability modelling10.1007/s10518-021-01065-5 ↗
24. Experimental study on the seismic mechanism of a full-scale traditional Chinese timber structure10.1016/j.engstruct.2018.11.055 ↗
25. Can a local bond test truly reflect impact of recycled aggregate on the bond between deformed steel bars and recycled aggregate concrete? – a critical assessment and development of a generic model10.1016/j.engstruct.2021.112826 ↗
26. Seismic behaviour of a traditional timber structure: shaking table tests, energy dissipation mechanism and damage assessment model10.1007/s10518-018-0496-4 ↗
27. Seismic mechanism analysis of a traditional Chinese timber structure based on quasi‐static tests10.1002/stc.2245 ↗
28. Seismic protection technologies for timber structures: a review10.1007/s00107-019-01389-9 ↗
29. Seismic strengthening and seismic improvement of timber structures10.1016/j.conbuildmat.2015.05.093 ↗
30. Seismic vulnerability of historic Dieh–Dou timber structures in Taiwan10.1016/j.engstruct.2007.11.007 ↗
31. Structural vulnerability assessment of heritage timber buildings: A methodological proposal10.3390/f11080881 ↗
32. Shaking-table test on a two-story timber-framed masonry structure retrofitted with ultra-high ductile concrete10.1061/(ASCE)ST.1943-541X.0003164 ↗
33. Performance evaluation of traditional timber joints under cyclic loading and their influence on the seismic response of timber frame structures10.1016/j.conbuildmat.2016.09.122 ↗
34. Probabilistic estimation of flexural loading capacity of existing RC structures based on observational corrosion-induced crack width distribution using machine learning10.1016/j.strusafe.2021.102098 ↗
35. Probabilistic seismic demand models for circular tunnels subjected to transversal seismic load10.1016/j.tust.2022.104527 ↗
36. Machine-learning based vulnerability analysis of existing buildings10.1016/j.autcon.2021.103936 ↗
37. Uncoupled multivariate power models for estimating performance-based seismic damage states of column curvature ductility10.1016/j.istruc.2021.12.041 ↗
38. A novel structure-Pulse coupled model for quantifying the column ductility demand under Pulse-Like GMs
39. China Earthquake Administration and National Bureau of Statistics · 2001
40. China Earthquake Administration and National Bureau of Statistics · 1996
41. China Earthquake Administration and National Bureau of Statistics · 2005
42. GB/T 17742, 1980. The Chinese seismic intensity scale. (in Chinese).
43. GB/T 17742, 1999. The Chinese seismic intensity scale. (in Chinese).
44. GB/T 17742, 2008. The Chinese seismic intensity scale. (in Chinese).
45. GB/T 17742, 2020. The Chinese seismic intensity scale. (in Chinese).