Dynamic amplification factor concept of soil layers: a case study in İzmir (Western Anatolia)

Özdağ, Özkan Cevdet; Gönenç, Tolga; Akgün, Mustafa

doi:10.1007/s12517-015-1881-9

Cited by 20 publications

(10 citation statements)

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“…Many scholars use the Horizontal Vertical Spectral Ratio (HVSR) Technique to observe soil properties that affect the vulnerability of sites to earthquake (Rezaei and Choobbasti, 2014;Nakamura, 1989;Paudyal et al, 2013;Fnais et al, 2010;Beroya et al, 2009;Jiyang et al, 2016;Stanko et al, 2017;Gosar, 2007;Mucciarelli et al, 2001;Pamuk et al, 2017). By utilizing the H/V ratio, the soil fundamental period (T0) and the amplification factor (Ag) of the site were determined (Tarabusi and Caputo, 2017;Stanko et al, 2017;Hardesty et al, 2010;Özdağ et al, 2015). By utilizing the H/V ratio, the soil fundamental period (T0) and the amplification factor (Ag) of the site were determined (Stanko et al, 2017;Tarabusi and Caputo, 2017;Hardesty et al, 2010;Özdağ et al, 2015) Artificial neural networks is a popular field that is applied in various applications to make categorization (Dimililer, 2012;Dimililer, 2013;Dimililer et al, 2017;Tavakoli and Kutanaei, 2014).…”

Section: * Corresponding Authormentioning

confidence: 99%

“…By utilizing the H/V ratio, the soil fundamental period (T0) and the amplification factor (Ag) of the site were determined (Tarabusi and Caputo, 2017;Stanko et al, 2017;Hardesty et al, 2010;Özdağ et al, 2015). By utilizing the H/V ratio, the soil fundamental period (T0) and the amplification factor (Ag) of the site were determined (Stanko et al, 2017;Tarabusi and Caputo, 2017;Hardesty et al, 2010;Özdağ et al, 2015) Artificial neural networks is a popular field that is applied in various applications to make categorization (Dimililer, 2012;Dimililer, 2013;Dimililer et al, 2017;Tavakoli and Kutanaei, 2014).…”

Section: * Corresponding Authormentioning

confidence: 99%

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Vulnerability Index Assessment Using Neural Networks (Viann): A Case Study of Nicosia, Cyprus

Dindar

Dimililer

Özdağ

et al. 2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Many scholars have used microtremor applications to evaluate the vulnerability index. In order to reach fast and reliable results, microtremor measurement is preferred as it is a cost-effective method. In this paper, the vulnerability index will be reviewed by utilization of microtremor measurement results in Nicosia city. 100 measurement stations have been used to collect microtremor data and the data were analysed by using Nakamura's method. The value of vulnerability index (Kg) has been evaluated by using the fundamental frequency and amplification factor. The results obtained by the artificial neural network (ANN) will be compared with microtremor measurements. Vulnerability Index Assessment using Neural Networks (VIANN) is a backpropagation neural network, which uses the original input microtremor Horizontal Vertical Spectrum Ratio (HVSR) spectrum set. A 3-layer back propagation neural network which contains 4096 input, 28 hidden and 3 output neurons are used in this suggested system. The output neurons are classified according to acceleration sensitivity zone, velocity zones, or displacement zones.

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Section: * Corresponding Authormentioning

confidence: 99%

Section: * Corresponding Authormentioning

confidence: 99%

Vulnerability Index Assessment Using Neural Networks (Viann): A Case Study of Nicosia, Cyprus

Dindar

Dimililer

Özdağ

et al. 2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…In these studies, soil bedrock models are prepared in one (1D) and two (2D) dimensions by using in situ methods (Nortey et al, 2018). Nowadays, MASW, Seismic Refraction, Up Hole, Down Hole, Cross Hole Seismic Studies, Single Station Microtremor, Refraction Microtremor and Array Microtremor methods are widely used as in situ methods for geophysical site investigations (Olona-Allué et al, 2008;Margaryan and Yokoi, 2008;Yalçınkaya, 2010;Claprood et al, 2011;Akgün et al, 2013a;Akgün et al, 2013b;Özdağ et al, 2015;Mohamed et al, 2016;Pamuk et al, 2017). Nicosia, which constitutes the study area, is a second-degree risky earthquake zone throughout the island of Cyprus.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the interpretation for the study area was made based on the shear velocity values (V s ≥ 760 m/s) of the Engineering Bedrock. According to the conservation of energy, changes occur on the earthquake movement resulting in amplitude-frequency spectrum up to the engineering bedrock-soil interface in an elastic behaviour (Yalçınkaya, 2004;Kanli et al, 2006;Nath, 2007;Akgün et al, 2013a;Özdağ et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

The assessment of local site effects and dynamic behaviour in Nicosia, Cyprus

Dindar
¹
,

Akgün
²
,

Atalar
³

et al. 2021

Geofizika (Online)
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Single-station microtremor measurements were conducted to investigate earthquake and soil behaviour for the first time in Nicosia, Cyprus. Cyprus is located in a tectonically complex area in the Eastern Mediterranean where three plates meet. The study area was chosen to cover the areas to be opened for new development. Nicosia, the capital of Cyprus, is also the island's most important cultural, industrial, commercial, and transportation centre. The study creates base maps for the soil to assess earthquake resistance crucial for construction. Microtremor Method was applied at 100 stations and the Multi-Channel Analysis of Surface Waves (MASW) method was used at 52 stations. Also, RefractionMicrotremor (Re-Mi) and L-Shaped Spatial Autocorrelation (L-SPAC) methods were carried out at 17 stations to substantiate the research. The results of the microtremor method indicate that the predominant soil period values have an average of 1 second and pre-dominant peak period values are generally found between 0.1 to 5 s at the study area. Peak amplitude values are observed between 1 and 2.4. The Vulnerability Index Parameter (Kg) exceeded 20 at the central and the southern stations, and Kg values change between 7 and 54 units. The Kg values were found to be higher than 20 in soils where shear wave velocity is lower than 760 m/s. At the same time, the values of the predominant peak period were greater than 1 second. Cyprus is located in the Alpine Himalayan earthquake zone. The Cyprus Arc is known as the main seismic source of the island, It constitutes the tectonic border among African and Eurasian lithospheric plates in the region. During an earthquake in Nicosia, seismic waves will be amplified by an average of 1.5 times and soil deformation will occur due to the exceeding elastic limits. The results provided important insight into soil behaviour and indicated its reactions in a potential earthquake.

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“…are used for obtaining these parameters. The methods have been used by numerous researchers [2,3,4,5,1,13,14,15].…”

Section: Introductionmentioning
confidence: 99%

Investigation of Shear Wave Velocity and Predominant Period Properties of Bornova Plain (IZMIR) and Its Surroundings
Pamuk¹,
Özdağ²,
Tunçel³
et al. 2017
IOSR JAGG
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Dynamic amplification factor concept of soil layers: a case study in İzmir (Western Anatolia)

Cited by 20 publications

References 26 publications

Vulnerability Index Assessment Using Neural Networks (Viann): A Case Study of Nicosia, Cyprus

Vulnerability Index Assessment Using Neural Networks (Viann): A Case Study of Nicosia, Cyprus

The assessment of local site effects and dynamic behaviour in Nicosia, Cyprus

Investigation of Shear Wave Velocity and Predominant Period Properties of Bornova Plain (IZMIR) and Its Surroundings

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