Results 131 to 140 of about 525 (177)
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General Concepts and PSHA Background
2017The first step in building the PSHA model is the collection of geological, geophysical, geotechnical and seismological data from published and unpublished documents, theses, and field investigations. These data are integrated to develop a coherent interpretation of a seismotectonic framework for the study region.
Alain Pecker +4 more
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Probability in PSHA: Reply to "Comment on 'PSHA Validated by Quasi-Observational Means' by Z. Wang"
Seismological Research Letters, 2012One of the attractions of the Monte Carlo simulation approach to seismic hazard is its conceptual simplicity and directness. What a site operator wants to know is what type of earthquake shaking his plant might possibly have to endure in its lifetime. In response, the seismologist takes all the available information on regional seismogenesis, distils ...
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An investigation of PSHA sensitivity with focus on Finland
2022We describe the SENSEI project conducted on the initiative of STUK, the Radiation and Nuclear safety Authority of Finland. The project aimed at exploring the sensitivity of probabilistic seismic hazard outputs to different choices of input parameters, based on the seismicity data available in Finland.
Mäntyniemi, Päivi +8 more
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Site Response Effects on Partially Ergodic PSHA
GeoRisk 2011, 2011Near surface materials play an important role in modifying seismic waves, hence the uncertainty in their properties is significant to the surface ground motion uncertainty. A partially non-ergodic approach that removes the uncertainty associated with site response from the ergodic ground motion prediction equation, and then accounts for the epistemic ...
G. A. Montalva, A. Rodriguez-Marek
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PSHA software review based on the Monte Carlo method
Informatization and communication, 2020The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz.
V.A. Mironov +2 more
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Sensitivity analysis of directivity effects on PSHA
2013Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO.
CHIOCCARELLI, EUGENIO, IERVOLINO, IUNIO
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Accounting for Epistemic Uncertainty in PSHA: Logic Tree and Ensemble Modeling
Bulletin of the Seismological Society of America, 2015Abstract Any trustworthy probabilistic seismic‐hazard analysis (PSHA) has to account for the intrinsic variability of the system (aleatory variability) and the limited knowledge of the system itself (epistemic uncertainty). The most popular framework for this purpose is the logic tree.
Marzocchi, W., Taroni, M., Selva, J.
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Viewing PSHA from a Binomial Distribution Angle
Bulletin of the Seismological Society of America, 2015Abstract This article applies the Bernoulli process (the binomial distribution) to probabilistic seismic‐hazard analysis (PSHA), and the results are identical with the Poisson process. To determine the parameter p required of the binomial distribution, the probabilities associated with the seismic hazard are divided into two categories.
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A COMPREHENSIVE FOURIER-BASED PSHA OF MEXICO CITY
a critical component for any PSHA is the capability to predict ground motion intensities for future earthquakes with different characteristics. To achieve this, ground motion models have been the preferred approach to predict the size of the ground motion as a function of the rupture’s characteristics.Ordaz, M. +3 more
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Inclusion of site-effects: An approach coherent with contemporary event-based PSHA practices
Soil Dynamics and Earthquake Engineering, 2022Mario Ordaz +2 more
exaly