A simplified method for simulation of strong ground motion using finite rupture model of the earthquake source

Joshi, A.; Midorikawa, Saburoh

doi:10.1007/s10950-004-1595-z

Cited by 47 publications

(22 citation statements)

References 22 publications

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“…The transmission coefficient contributes significantly to shaping the attenuation rate of the peak ground acceleration with respect to the distance from the source. Joshi and Midorikawa (2004) have observed that for the shallow focus earthquakes, the transmission coefficient is &1.0; however, for the intermediate to deep focus earthquake, this coefficient is =1.0. This means that we should take this coefficient into consideration when modelling an intermediate to deep focus earthquake.…”

Section: Methodsmentioning

confidence: 95%

“…The technique of semi-empirical simulation used in this paper is that initially developed by Midorikawa (1993) and later modified by Joshi (2004), Joshi and Midorikawa (2004), Joshi and Mohan (2008) and Joshi et al (2012aJoshi et al ( , b, 2014. The first part of this technique deals with simulation of a time series having basic spectral shape of accelerogram, while the second part deals with simulation of envelope due to the deterministic model of rupture plane.…”

Section: Methodsmentioning

confidence: 99%

“…This method has been initiated by Midorikawa (1993) for modelling of the rupture buried in a homogeneous earth model modification that has been made by Joshi et al (2001), Joshi and Midorikawa (2004) and Joshi et al (2012a) to consider the effect of layered model in the technique. This method has advantage of both empirical green's function (EGF) technique and Stochastic simulation technique and has been applied to investigate many strong motion earthquakes (Joshi and Patel 1997;Joshi et al 1999;Kumar and Khattri 1999;Joshi 2001;Joshi et al 2001;Joshi 2004;Joshi and Midorikawa 2004;Joshi and Mohan 2008;Joshi et al 2012aJoshi et al , b, 2014. One of the major constraints in this method is the requirement of attenuation relation applicable for the place of simulation.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of the records of the 27 March 2013 Nantou Taiwan earthquake using modified semi-empirical approach

et al. 2015

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It is seen that strong motion generation area plays an important role in the shaping of strong motion records at the observation point. Strong motion generation areas identified within the rupture plane of the 27 March 2013 Nantou, Taiwan, earthquake (M w = 5.9) have been modelled in this work. It is seen that all available records are at the surface which include site amplification terms. The modified semi-empirical technique effectively simulates records at rock site. The site amplification terms in all records have been removed using SHAKE 91 program and velocity input at each site. The observed records corrected for site amplification terms are further used for comparison with simulated record at the bedrock from several models. Once the observed records at soil sites are transferred at the bedrock, the next task is selection of final model that gives best fit records. Peak ground acceleration from simulated record at four sites is compared with that from corrected observed data. Since the semi-empirical technique of simulation is strongly dependent on various modelling parameters such as dip, strike, rake, rupture velocity and starting points of rupture, these parameters change iteratively in a specified range in a heuristic way to obtain best modelling parameters. The model giving minimum root mean square error (RMSE) is retained at final model. It is seen that minimum root mean square error of the wave form comparison has been obtained at four stations for the source model having single strong motion generation area. Strong motion records have been simulated at four different recording stations. Comparison of observed and simulated records has been made in terms of RMSE between simulated and observed acceleration records, velocity records and the response spectra at each of four stations. Comparison of waveforms and parameters extracted from observed and simulated records confirms the efficacy of the modified technique to model earthquake characterized by SMGAs.& Piu Dhibar

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Section: Methodsmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Simulation of the records of the 27 March 2013 Nantou Taiwan earthquake using modified semi-empirical approach

et al. 2015

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“…The semi-empirical approach is consistent with omega square source model. In order to simulate the entire time series, Joshi and Midorikawa (2004) have modified this technique by incorporating layered earth media, transmission of energy in each layer, and slip duration of large and small events. For the preparation of map of expected peak acceleration due to selected ruptures for the studied area, we make use the tectonic map in which active lineaments have been identified.…”

Section: Methodsmentioning

confidence: 99%

Expected peak ground acceleration in Uttarakhand Himalaya, India region from a deterministic hazard model

Joshi

Mohan

2009

Nat Hazards

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A method of seismic zonation based on the deterministic modeling of rupture planes is presented. Finite rupture planes along identified lineaments are modeled in the Uttarakhand Himalaya based on the semi empirical technique of Midorikawa (Tectonophysics 218:287-295, 1993). The expected peak ground acceleration thus estimated from this technique is divided into different zones similar to zones proposed by the Bureau of Indian standard, BIS (Indian standards code of practice for earthquake-resistant design of structures, 2002). The proposed technique has been applied to Kumaon Himalaya area and the surrounding region for earthquakes of magnitude M [ 6.0. Approximately 56000 km 2 study area is classified into the highest hazard zone V with peak accelerations of more than 400 cm/s 2 . This zone V includes the cities of the Dharchula, Almora, Nainital, Haridwar, Okhimath, Uttarkashi, Pithorahargh, Lohaghat, Munsiari, Rudraprayag, and Karnprayag. The Sobla and Gopeshwar regions belong to zone IV, where peak ground accelerations of the order from 250 to 400 cm/s 2 can be expected. The prepared map shows that epicenters of many past earthquakes in this region lie in zone V, and hence indicating the utility of developed map in defining various seismic zones.

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“…As we are using the data from those events, which lie at the hypocentral distances ≤ 100 km, G(R) is assumed as 1/R. The geometrical factor term has been used as 1/R for the strong-motion studies of worldwide earthquakes by Boore (1983), Atkinson and Boore (1995), Joshi and Midorikawa (2004), Joshi (2006b) and Kumar et al (2015).…”

Section: Inversionmentioning

confidence: 99%

Estimation of Quality Factor (Qβ) Using Accelerograms of Ahar-Varzaghan Earthquakes, Northwestern Iran

Mahood

Amiri

2017

IJGE

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High-frequency strong-motion data of two recent major earthquakes in the Ahar-Varzaghan region, Northwestern Iran, have been used to determine shear-wave quality factor (Qβ (f )) and seismic source parameters. Data from a local array of 12 stations, two main shocks (Ahar-Varzaghan doublet earthquakes (Mw 6.4 and 6.3) on August 11, 2012), and 38 aftershocks of magnitude 4.1 -5 were analyzed. The classic Brune model is used to predict the shape of the source spectrum and to provide scaling relationships between spectral and source parameters. In order to obtain reliable estimates of the source spectrum, the effects of attenuation need to be estimated and corrected. By using an inversion algorithm in this work, an average relation in the form Qβ = (114 ± 21) f (0.90 ± 0.07) is obtained. The best fit theoretical spectrum provides final values of source parameters, i.e. seismic moment Mo and corner frequency fc as 3.19 × 10 25 dyne cm and 0.69 Hz, respectively, for the first event. Obtained Q(f) relationship suggests a low Qo value (< 200) and a high n value (> 0.8) for high heterogeneous, tectonically and seismically active regions.

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A simplified method for simulation of strong ground motion using finite rupture model of the earthquake source

Cited by 47 publications

References 22 publications

Simulation of the records of the 27 March 2013 Nantou Taiwan earthquake using modified semi-empirical approach

Simulation of the records of the 27 March 2013 Nantou Taiwan earthquake using modified semi-empirical approach

Expected peak ground acceleration in Uttarakhand Himalaya, India region from a deterministic hazard model

Estimation of Quality Factor (Qβ) Using Accelerograms of Ahar-Varzaghan Earthquakes, Northwestern Iran

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