Results 171 to 180 of about 4,584 (215)
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PSHA: is it science?

Engineering Geology, 2002
Abstract Probabilistic seismic hazard analysis (PSHA) is beginning to be seen as unreliable. The problem with PSHA is that its data are inadequate and its logic is defective. Much more reliable, and more scientific, are deterministic procedures, especially when coupled with engineering judgment.
Heriberta Castaños, Cinna Lomnitz
exaly   +2 more sources

An updated probabilistic seismic hazard assessment (PSHA) for Pakistan

Bulletin of Earthquake Engineering, 2021
In this study, an updated probabilistic seismic hazard assessment (PSHA) of Pakistan region is performed using the procedures developed for the US National Seismic Hazard Maps and the Earthquake Model of the Middle East (EMME14). It is based on the combination of conventional area sources model and the spatially smoothed gridded seismicity model with ...
Asad ur Rahman   +2 more
exaly   +2 more sources

PSHA for the Dominican Republic

2023
The Dominican Republic, situated on eastern Hispaniola Island in the Caribbean, is subject to moderate to high seismic hazard mostly controlled by oblique convergence at the Caribbean/North American plate boundary. Offshore of the island, the North Hispaniola Trench (NHT) and Los Muertos Trough (LMT) subduction-like structures accommodate shortening ...
Kendra Johnson   +6 more
openaire   +1 more source

General Concepts and PSHA Background

2017
The 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the PSHA model is the collection of geological, geophysical, geotechnical and seismological data from published and unpublished documents, theses, and field investigations.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
openaire   +1 more source

THE ROLE OF UNCERTAINTY OF MODEL PARAMETERS IN PSHA

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2015), 2019
Current approaches for the seismic hazard assessment, are mainly based on the classical formulation of the probabilistic seismic hazard analysis, widely known with the acronym PSHA. This procedure is able to compute the annual rate of exceedance of a set of ground motion intensity measures at a site of interest.
Hofer L., Zanini M. A.
openaire   +2 more sources

Site Response Effects on Partially Ergodic PSHA

GeoRisk 2011, 2011
Near 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
openaire   +1 more source

Probability in PSHA: Reply to "Comment on 'PSHA Validated by Quasi-Observational Means' by Z. Wang"

Seismological Research Letters, 2012
One 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 ...
openaire   +1 more source

Sensitivity analysis of directivity effects on PSHA

2013
Data 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
openaire   +2 more sources

PSHA software review based on the Monte Carlo method

Informatization and communication, 2020
The 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
openaire   +1 more source

Viewing PSHA from a Binomial Distribution Angle

Bulletin of the Seismological Society of America, 2015
Abstract 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.
openaire   +1 more source

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