Journal ArticleDOI
Engineering seismic risk analysis
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In this paper, the authors introduce a method for the evaluation of the seismic risk at the site of an engineering project, in terms of a ground motion parameter (such as peak acceleration) versus average return period.Abstract:
This paper introduces a method for the evaluation of the seismic risk at the site of an engineering project. The results are in terms of a ground motion parameter (such as peak acceleration) versus average return period. The method incorporates the influence of all potential sources of earthquakes and the average activity rates assigned to them. Arbitrary geographical relationships between the site and potential point, line, or areal sources can be modeled with computational ease. In the range of interest, the derived distributions of maximum annual ground motions are in the form of Type I or Type II extreme value distributions, if the more commonly assumed magnitude distribution and attenuation laws are used.read more
Citations
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Book
The Mechanics of Earthquakes and Faulting
TL;DR: The connection between faults and the seismicity generated is governed by the rate and state dependent friction laws -producing distinctive seismic styles of faulting and a gamut of earthquake phenomena including aftershocks, afterslip, earthquake triggering, and slow slip events.
Journal ArticleDOI
Structure-specific scalar intensity measures for near source and ordinary earthquake ground motions
Nicolas Luco,C. Allin Cornell +1 more
TL;DR: One of the alternative ground-motion intensity measures introduced in this paper is found to be relatively efficient and sufficient for the range of buildings considered and for both the near-source and ordinary ground motions.
Journal ArticleDOI
Ground-motion relations for eastern North America
Gail M. Atkinson,David M. Boore +1 more
TL;DR: In this article, the authors developed predictive relations for ground motions from eastern North American earthquakes of 4.0, 5.8 and 7.25 at distances of 10 =< R =< 500 km.
Journal ArticleDOI
Disaster resilience: A national imperative
Susan L. Cutter,Joseph A. Ahearn,Bernard Amadei,Patrick Crawford,Elizabeth A. Eide,Gerald E. Galloway,Michael F. Goodchild,Howard Kunreuther,Meredith Li-Vollmer,Monica Schoch-Spana,Susan Scrimshaw,Ellis M. Stanley,Gene Whitney,Mary Lou Zoback +13 more
TL;DR: In this paper, the authors highlight some of the challenges to hazards and disaster poli..., highlighting the accelerating disaster losses coupled with the increasing frequency of billion-dollar disaster events, such as the recent Hurricane Sandy.
Journal ArticleDOI
Mapping Seismic Hazard in the Central and Eastern United States
TL;DR: The U.S. Geological Survey (USGS) has been publishing probabilistic seismic hazard maps for the United States since 1976 (e.g., Algermissen and Perkins, 1976; Alger missen et al., 1990) as discussed by the authors.
References
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Book Chapter
Spectrum Intensities of Strong-Motion Earthquakes
TL;DR: In this article, the authors propose a set of rules and procedures for the design of buildings to resist earthquakes based on a knowledge of the characteristics and intensities of earthquakes and how structures behave during an earthquake.
Journal ArticleDOI
Relationship between seismicity and geologic structure in the Southern California region
TL;DR: In this paper, the authors synthesize data from 10,126 earthquakes that occurred in the southern California region between 1934 and 1963 to understand better their relationship to regional geologic structure, which is here dominated by a system of faults related mainly to the San Andreas system.
Journal ArticleDOI
A Model for the Occurrence of Large Earthquakes
B. Epstein,Cinna Lomnitz +1 more
TL;DR: In this paper, the authors outline a probability model which seems to provide an adequate basis for making predictions concerning the occurrence of largest earthquake magnitudes over time, where the number of earthquakes in a year is a Poisson random variable with mean α and X, the earthquake magnitude, is a random variable distributed with cumulative distribution function.