Physically Based and Empirical Ground Motion Prediction Equations for Multiple Intensity Measures (PGA, PGV, Ia, FIV3, CII, and Maximum Fourier Acceleration Spectra) on Sakhalin Island

نویسندگان

چکیده

In the present study, empirical attenuation relations for multiple ground motion intensity measures (PGA, PGV, Ia, FIV3, CII, and MFAS) were developed Sakhalin Island (in far east of Russia). A recorded strong dataset was used, making GMPEs applicable in active crustal regions with an earthquake magnitude range 4–6 a distance up to 150 km. The hypocentral used as basic metric. For first time research, analytical representation Arias (Ia) obtained framework multi-asperity source model. Asperities are considered sub-sources high-frequency incoherent radiation. physical model our study based on stress drop asperities ratio total rupture area combined asperities. average examined earthquakes approximately 13.4 MPa, asperity 0.22, which is generally close similar estimates earthquakes. coefficients statistical scattering models also analyzed. Moreover, scale modified proposed study. new has explicit meaning characterized by its simplicity measurement. It associated acceleration spectrum level can be successfully early warning systems.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Prediction of Peak Ground Acceleration (PGA) using Artificial Neural Networks

In this paper, the probable range of the horizontal component of peak ground acceleration (PGA) is predicted as a function of focal depth, earthquake magnitude and epicentral distance, using artificial neural network (ANN). Three different ANN architectures (namely Feed Forward, Back Propagation and Radial Bias Networks) are used to develop the model. The three models are then compared, to deci...

متن کامل

Ground motion intensity measures for performance-based earthquake engineering

A critical issue in the probabilistic framework for performance-based earthquake engineering is the choice of ground motion intensity measure(s). In an effort to identify optimum intensity measure(s), a comprehensive parametric statistical study based on 881 earthquake record components was conducted to identify the correlation between (1) seismological variables (SV’s) and traditional ground m...

متن کامل

global results on some nonlinear partial differential equations for direct and inverse problems

در این رساله به بررسی رفتار جواب های رده ای از معادلات دیفرانسیل با مشتقات جزیی در دامنه های کراندار می پردازیم . این معادلات به فرم نیم-خطی و غیر خطی برای مسایل مستقیم و معکوس مورد مطالعه قرار می گیرند . به ویژه، تاثیر شرایط مختلف فیزیکی را در مساله، نظیر وجود موانع و منابع، پراکندگی و چسبندگی در معادلات موج و گرما بررسی می کنیم و به دنبال شرایطی می گردیم که متضمن وجود سراسری یا عدم وجود سراسر...

Campbell-bozorgnia next Generation Attenuation (nga) Relations for Pga, Pgv and Spectral Acceleration: a Progress Report

The authors are one of five teams developing empirical ground motion (attenuation) relations for active shallow crustal regions as part of the PEER Next Generation Attenuation (NGA) Project. Each Developer Team was provided with a common database of worldwide strong-motion recordings and supporting metadata, but was given the freedom to use separate data selection criteria, parameters, function...

متن کامل

Seismic Amplification of Peak Ground Acceleration, Velocity, and Displacement by Two-Dimensional Hills

There are valuable investigations on the amplification effects of the topography on the seismic response in the frequency domain; however, a question is that how one can estimate the amplification of time domain peak ground acceleration (PGA), peak ground velocity (PGV), and peak ground displacement (PGD) over the topographic structures. In this study, the numerical approach has been used for t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Geosciences

سال: 2023

ISSN: ['2076-3263']

DOI: https://doi.org/10.3390/geosciences13070201