Seismic Intensity Maps for the Eastern Part of the North Anatolian Fault Zone (Turkey) Based on Recorded and Simulated Ground‐Motion Data

Askan, Ayşegül; Bilal, Mustafa

doi:10.1002/9781118944998.ch10

Cited by 7 publications

(5 citation statements)

References 46 publications

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“…The comparisons of the simulated dataset for different magnitudes against the GMMs in terms of PGA, PGV, PSA (T = 0.3 s), and PSA (T = 1.5 s) are plotted in Figures 10,11,12, and 13, respectively. It is noted that the models by 32 and 30 are not given for PGV.…”

Section: F I G U R E 1mentioning

confidence: 99%

“…If such data is unavailable, ground motion IMs can be estimated through the use of simulated databases generated by various empirical, numerical, and analytical methodologies 6 . The simulated dataset can better represent the regional seismicity of the study areas 7–12 . Douglas 5 lists 87 GMMs developed based on simulated records for the prediction of PGA and elastic response spectral ordinates.…”

Section: Introductionmentioning

confidence: 99%

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Backbone ground motion model through simulated records and XGBoost machine learning algorithm: An application for the Azores plateau (Portugal)

Karimzadeh,

Mohammadi,

Salahuddin

et al. 2023

Earthq Engng Struct Dyn

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Azores Islands are seismically active due to the tectonic structure of the region. Since the 15th century, they have been periodically shaken by approximately 33 moderate to strong earthquakes, with the most recent one in 1998 (Mw = 6.2). Nonetheless, due to insufficient instrumental seismic data, the region lacks a uniform database of past real records. Ground motion simulation techniques provide alternative region‐specific time series of prospective events for locations with limited seismic networks or regions with a seismic gap of catastrophic earthquake events. This research establishes a local ground motion model (GMM) for the Azores plateau (Portugal) by simulating region‐specific records for constructing a homogeneous dataset. Simulations are accomplished in bedrock using the stochastic finite‐fault approach by employing validated input‐model parameters. The simulation results undergo validation against the 1998 Faial event and comparison with empirical models for volcanic and Pan‐European datasets. A probabilistic numerical technique, namely the Monte‐Carlo simulation, is employed to estimate the outcome of uncertainty associated with these parameters. The results of the simulations are post‐processed to predict the peak ground motion parameters in addition to spectral ordinates. This study uses XGBoost to circumvent the difficulties inherent to linear regression‐based models in establishing the form of equations and coefficients. The input parameters for prediction are moment magnitude (Mw), Joyner and Boore distance (RJB), and focal depth (FD). The quantification of GMM uncertainty is accomplished by analyzing the residuals, providing insight into inter‐ and intra‐event uncertainties. The outcomes demonstrate the effectiveness of the suggested model in simulating physical phenomena.

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Section: F I G U R E 1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Backbone ground motion model through simulated records and XGBoost machine learning algorithm: An application for the Azores plateau (Portugal)

Karimzadeh,

Mohammadi,

Salahuddin

et al. 2023

Earthq Engng Struct Dyn

Self Cite

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“…Bommer et al [6] established a shallow crustal ground motion prediction model, offering a reliable tool and parameters for nonlinear dynamic analysis. In addition to these studies, there are also other aspects that have been explored or can be explored using Turkey's strong motion data, such as site effects [7], source characteristics [8], seismic wave propagation [9], seismic intensity [10], seismic risk mapping [11], seismic early warning [12], seismic resilience [13], etc. These aspects are important for advancing the scientific knowledge and practical applications of strong motion data in Turkey and beyond.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Peak Ground Acceleration and Seismogenic Fault Characteristics of the Mw7.8 Earthquake in Turkey

Duan,

Bo,

Peng

et al. 2023

Applied Sciences

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A Mw7.8 earthquake struck Turkey on 6 February 2023, causing severe casualties and economic losses. This paper investigates the characteristics of strong ground motion and seismogenic fault of the earthquake. We collected and processed the strong ground motion records of 379 stations using Matlab, SeismoSignal, and Surfer software: Matlab (Version R2016a), SeismoSignal (Version 5.1.0), and Surfer (Version 23.0.15), and obtained the peak ground acceleration (PGA) contour map. We analyzed the near-fault effect, the fault locking segment effect, and the trampoline effect of the earthquake based on the spatial distribution of PGA, the fault geometry, and slip distribution. We found that the earthquake generated a very strong ground motion concentration effect in the near-fault area, with the maximum PGA exceeding 2000 cm/s2. However, the presence of fault locking segments influenced the spatial distribution of ground motion, resulting in four significant PGA high-value concentration areas at a local dislocation, a turning point, and the end of the East Anatolian Fault. We also revealed for the first time the typical manifestation of the trampoline effect in this earthquake, which was characterized by a large vertical acceleration with a positive direction significantly larger than the negative direction. This paper provides an important reference for understanding the seismogenic mechanism, damage mode, characteristics, and strong earthquake law of the Turkey earthquake.

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“…The simulated ground motion datasets provide a homogeneous distribution in terms of magnitude, source-to-site distances and soil information compared to real datasets. Thus, they are useful in the assessment of the seismic performance of structures under a wide set of regional input ground motions [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

The Sensitivity of Global Structural Parameters for Unreinforced Masonry Buildings Subjected to Simulated Ground Motions

et al. 2023

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This research performs a parametric study based on Equivalent Single Degree of Freedom (ESDOF) models for simplified seismic analysis of unreinforced masonry (URM) structures. This is a necessary action due to the fact that it is not affordable to model and analyze populations of masonry buildings by using detailed continuum-based models during regional seismic damage and loss estimation studies. Hence, this study focuses on the sensitivity of major structural parameters of a selected idealized hysteretic model for URM buildings. The numerical models are subjected to region-specific simulated ground motion time histories generated using validated seismological parameters. The variations in dynamic analysis results are evaluated using statistical tools for major structural and seismological parameters. The results reveal that the strength factor is the most influential structural parameter, whereas magnitude and distance have a significant impact on the response of idealized URM models as seismological parameters. Furthermore, the specific seismic performance exhibiting limited ductility capacity and the narrow margin of safety between the initial state of inelastic behavior and the ultimate (collapse) state for URM buildings is verified by the statistical approaches employed in this study.

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Seismic Intensity Maps for the Eastern Part of the North Anatolian Fault Zone (Turkey) Based on Recorded and Simulated Ground‐Motion Data

Cited by 7 publications

References 46 publications

Backbone ground motion model through simulated records and XGBoost machine learning algorithm: An application for the Azores plateau (Portugal)

Backbone ground motion model through simulated records and XGBoost machine learning algorithm: An application for the Azores plateau (Portugal)

Analysis of Peak Ground Acceleration and Seismogenic Fault Characteristics of the Mw7.8 Earthquake in Turkey

The Sensitivity of Global Structural Parameters for Unreinforced Masonry Buildings Subjected to Simulated Ground Motions

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