The Effect of Site-Specific Design Spectrum on Earthquake-Building Parameters: A Case Study from the Marmara Region (NW Turkey)

Işık, Ercan; Büyüksaraç, Aydın; Ekinci, Yunus Levent; Aydın, M. Cihan; Harirchian, Ehsan

doi:10.3390/app10207247

Cited by 38 publications

(18 citation statements)

References 65 publications

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“…The U.S. Geological Survey ShakeMap recorded a ground motion intensity of VIII, with the epicenter being 19 Km to the South-East of Kodari. It has been investigated that the site-specific design spectrum and ground motion intensity have a significant effect on the performance of the building's parameters against earthquakes [51].…”

Section: Background Of the Selected Earthquakesmentioning

confidence: 99%

A Synthesized Study Based on Machine Learning Approaches for Rapid Classifying Earthquake Damage Grades to RC Buildings

et al. 2021

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A vast number of existing buildings were constructed before the development and enforcement of seismic design codes, which run into the risk of being severely damaged under the action of seismic excitations. This poses not only a threat to the life of people but also affects the socio-economic stability in the affected area. Therefore, it is necessary to assess such buildings’ present vulnerability to make an educated decision regarding risk mitigation by seismic strengthening techniques such as retrofitting. However, it is economically and timely manner not feasible to inspect, repair, and augment every old building on an urban scale. As a result, a reliable rapid screening methods, namely Rapid Visual Screening (RVS), have garnered increasing interest among researchers and decision-makers alike. In this study, the effectiveness of five different Machine Learning (ML) techniques in vulnerability prediction applications have been investigated. The damage data of four different earthquakes from Ecuador, Haiti, Nepal, and South Korea, have been utilized to train and test the developed models. Eight performance modifiers have been implemented as variables with a supervised ML. The investigations on this paper illustrate that the assessed vulnerability classes by ML techniques were very close to the actual damage levels observed in the buildings.

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Section: Background Of the Selected Earthquakesmentioning

confidence: 99%

A Synthesized Study Based on Machine Learning Approaches for Rapid Classifying Earthquake Damage Grades to RC Buildings

et al. 2021

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“…Seismogenic zone 6 covers the NW-SE striking Erzincan basin which appears to be a major step over along the NAFZ (Şengör, 1979;Hubert-Ferrari et al, 2002). The largest events in this seismogenic Okay and Tüysüz, 1999;Yiğitbaş et al, 2004;USGS, 2010;Ekinci et al, 2020Ekinci et al, , 2021Işık et al, 2020 We used instrumental (M S ≥ 5.5, until the end of 2019) and historical data with maximum intensities of I 0 ≥ 9.0 corresponding to surface wave magnitude M S ≥ 7.0 (Sayıl, 2013). Different-scaled magnitudes were transformed to M S using empirical equations obtained from regional earthquakes (Figure 3).…”

Section: Rtimap Modelmentioning

confidence: 99%

“…Figure 1. Tectonic map of Turkey and the surrounding (compiled withOkay and Tüysüz, 1999;Yiğitbaş et al, 2004; USGS, 2010;Ekinci et al, 2020Ekinci et al, , 2021Işık et al, 2020). NAFZ, North Anatolian Fault Zone; EAFZ, East Anatolian Fault Zone; NEAFZ, Northeast Anatolian Fault Zone; BZSZ, Bitlis-Zagros Suture Zone; DSFZ, Dead Sea Fault Zone; WAGS, West Anatolian Graben System; SBST, Southern Black Sea Thrust.…”

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confidence: 99%

Time-dependent model for earthquake occurrence and effects of design spectra on structural performance: a case study from the North Anatolian Fault Zone, Turkey

Işık¹,

Ekinci²,

Sayıl³

et al. 2021

Turkish J Earth Sci

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We have investigated the time-dependent seismicity model of the earthquake occurrence on a regional basis through the North Anatolian Fault Zone (NAFZ). To that end, the studied region has been subdivided into 7 seismogenic zones considering the seismotectonic criteria, and then regional time and magnitude predictable (RTIMAP) model has been performed. Intervened times and magnitudes of main shocks produced in each zone have predictive properties defined by the RTIMAP. The probabilities of the next main shocks in 5 decades and the magnitudes of the next events have been estimated using the formation time and magnitude of the past events in the zones. In the second step of the study, we have considered 17 settlements located on the NAFZ to perform point-based site-specific seismic hazard analyses and to determine the design spectra and earthquake parameters using updated Turkish Earthquake Hazard Map. Eigen value and static adaptive pushover analyses have been applied for the sample reinforced concrete building using the design spectra obtained from each settlement. This sample building has been modelled with the same structural characteristics (i.e. material strength, column and beams, applied loads, etc.) for all of the settlements. We have determined that the earthquake building parameters differ from each other which indicates the significance of site-specific seismicity characteristics on the building performance.

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“…It is very important to extend the time in the first two limits. In Reference [ 7 ], the authors also mentioned the possible positive effect of non-structural elements on the behavior of structures during an earthquake. Some of the authors [ 8 , 9 ] indicated the impact of irregularities on the structure of its seismic characteristics.…”

Section: Introductionmentioning

confidence: 99%

Seismic Protection of RC Buildings by Polymeric Infill Wall-Frame Interface

2021

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This paper is aimed at investigating the usage of flexible joints in masonry infilled walls surrounded by reinforced concrete (RC) frames. For this purpose, a real-size specimen was numerically created and exposed to the seismic loads. In order to evaluate both in-plane and out-of-plane performances of the infill walls, the system was chosen as a box shaped three-dimensional structure. In total, three different one-story constructions, which have single bays in two perpendicular directions, were modeled. The first type is the bare-frame without the infill walls, which was determined as a reference system. The second and third types of buildings are conventional mortar joint and PolyUrethane Flexible Joint (PUFJ) implemented ones, respectively. The influence of these joints on the material level are investigated in detail. Furthermore, general building dynamic characteristics were extracted by means of acceleration and displacement results as well as frequency domain mode shapes. Analyses revealed that PUFJ implementation on such buildings has promising outcomes and helps to sustain structural stability against the detrimental effects of earthquakes.

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The Effect of Site-Specific Design Spectrum on Earthquake-Building Parameters: A Case Study from the Marmara Region (NW Turkey)

Cited by 38 publications

References 65 publications

A Synthesized Study Based on Machine Learning Approaches for Rapid Classifying Earthquake Damage Grades to RC Buildings

A Synthesized Study Based on Machine Learning Approaches for Rapid Classifying Earthquake Damage Grades to RC Buildings

Time-dependent model for earthquake occurrence and effects of design spectra on structural performance: a case study from the North Anatolian Fault Zone, Turkey

Seismic Protection of RC Buildings by Polymeric Infill Wall-Frame Interface

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