A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Performance of Existing Fling Step Predictive Models with Fling Database of Earthquakes in Türkiye
https://orcid.org/http://orcid.org/0000-0002-7478-3015
https://orcid.org/http://orcid.org/0000-0002-0535-5658
Fling step (permanent displacement) has been recognized as one of the most damaging earthquake effects on structures located in the vicinity of the fault rupture trace. Nevertheless, ground motion records containing fling step are not identified on account of the fact that standard data processing methods, such as filtering, mask the permanent displacements (PDs). Thus, this effect is commonly ignored during the seismic design of engineering structures. Fling step prediction models has certain limitations since models are mainly derived from the synthetic strong motions of earthquakes. In the last 3 decades, an increase in near fault strong motion recordings made it possible to calculate fling amplitudes with special baseline correction procedures. With this emerging database, it is possible to develop fling amplitude prediction equations or to adjust existing equations. Hence, in this study, performance of the existing fling step predictive models of Kamai et al. (Kamai et al. in Bull Seismol Soc Am 104:1914–1929, 2014), Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) and Türkiye adjusted Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) are evaluated using the fling inventory of moderate to large magnitude earthquakes in Türkiye including the 2023 Kahramanmaraş (Mw7.7) earthquake. Evaluations are performed only with total residual values of fling amplitudes. Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) model is found successsful for earthquakes with magnitudes between Mw 6 and Mw 6.9 whereas Kamai et al. (Kamai et al. in Bull Seismol Soc Am 104:1914–1929, 2014) well captured the PDs originated from large Mw7 + earthquakes. In general, estimates of Türkiye adjusted Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) model are much closer to observed averaged PDs in the dataset.
Performance of Existing Fling Step Predictive Models with Fling Database of Earthquakes in Türkiye
https://orcid.org/http://orcid.org/0000-0002-7478-3015
https://orcid.org/http://orcid.org/0000-0002-0535-5658
Fling step (permanent displacement) has been recognized as one of the most damaging earthquake effects on structures located in the vicinity of the fault rupture trace. Nevertheless, ground motion records containing fling step are not identified on account of the fact that standard data processing methods, such as filtering, mask the permanent displacements (PDs). Thus, this effect is commonly ignored during the seismic design of engineering structures. Fling step prediction models has certain limitations since models are mainly derived from the synthetic strong motions of earthquakes. In the last 3 decades, an increase in near fault strong motion recordings made it possible to calculate fling amplitudes with special baseline correction procedures. With this emerging database, it is possible to develop fling amplitude prediction equations or to adjust existing equations. Hence, in this study, performance of the existing fling step predictive models of Kamai et al. (Kamai et al. in Bull Seismol Soc Am 104:1914–1929, 2014), Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) and Türkiye adjusted Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) are evaluated using the fling inventory of moderate to large magnitude earthquakes in Türkiye including the 2023 Kahramanmaraş (Mw7.7) earthquake. Evaluations are performed only with total residual values of fling amplitudes. Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) model is found successsful for earthquakes with magnitudes between Mw 6 and Mw 6.9 whereas Kamai et al. (Kamai et al. in Bull Seismol Soc Am 104:1914–1929, 2014) well captured the PDs originated from large Mw7 + earthquakes. In general, estimates of Türkiye adjusted Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) model are much closer to observed averaged PDs in the dataset.
Performance of Existing Fling Step Predictive Models with Fling Database of Earthquakes in Türkiye
https://orcid.org/http://orcid.org/0000-0002-7478-3015
https://orcid.org/http://orcid.org/0000-0002-0535-5658
Fling step (permanent displacement) has been recognized as one of the most damaging earthquake effects on structures located in the vicinity of the fault rupture trace. Nevertheless, ground motion records containing fling step are not identified on account of the fact that standard data processing methods, such as filtering, mask the permanent displacements (PDs). Thus, this effect is commonly ignored during the seismic design of engineering structures. Fling step prediction models has certain limitations since models are mainly derived from the synthetic strong motions of earthquakes. In the last 3 decades, an increase in near fault strong motion recordings made it possible to calculate fling amplitudes with special baseline correction procedures. With this emerging database, it is possible to develop fling amplitude prediction equations or to adjust existing equations. Hence, in this study, performance of the existing fling step predictive models of Kamai et al. (Kamai et al. in Bull Seismol Soc Am 104:1914–1929, 2014), Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) and Türkiye adjusted Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) are evaluated using the fling inventory of moderate to large magnitude earthquakes in Türkiye including the 2023 Kahramanmaraş (Mw7.7) earthquake. Evaluations are performed only with total residual values of fling amplitudes. Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) model is found successsful for earthquakes with magnitudes between Mw 6 and Mw 6.9 whereas Kamai et al. (Kamai et al. in Bull Seismol Soc Am 104:1914–1929, 2014) well captured the PDs originated from large Mw7 + earthquakes. In general, estimates of Türkiye adjusted Burks and Baker (Burks and Baker in Soil Dynam Earthq Eng 80:119–126, 2016) model are much closer to observed averaged PDs in the dataset.
Performance of Existing Fling Step Predictive Models with Fling Database of Earthquakes in Türkiye
Lecture Notes in Civil Engineering
Erberik, Murat Altug (editor) / Askan, Aysegul (editor) / Kockar, Mustafa Kerem (editor) / Adanır, Emrecan (author) / Tanırcan, Gülüm (author)
International Conference on Energy and Environmental Science ; 2023 ; Antalya, Türkiye
2024-06-13
11 pages
Article/Chapter (Book)
Electronic Resource
English
Fling amplitude inventory of near-fault strong motion recordings in Turkiye
| Springer Verlag | 2025