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logic trees

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Journal Article
Published: 01 November 2023
Seismological Research Letters (2024) 95 (1): 125–134.
...Christopher J. DiCaprio; Chris B. Chamberlain; Sanjay S. Bora; Brendon A. Bradley; Matthew C. Gerstenberger; Anne M. Hulsey; Pablo Iturrieta; Marco Pagani; Michele Simionato Abstract National‐scale seismic hazard models with large logic trees can be difficult to calculate using traditional seismic...
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Journal Article
Published: 01 May 2022
Earthquake Spectra (2022) 38 (2): 917–949.
...Peter J Stafford, M.EERI; David M Boore; Robert R Youngs, M.EERI; Julian J Bommer, M.EERI The backbone approach to constructing a ground-motion logic tree for probabilistic seismic hazard analysis (PSHA) can address shortcomings in the traditional approach of populating the branches with multiple...
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Journal Article
Published: 01 November 2012
Earthquake Spectra (2012) 28 (4): 1723–1735.
...Julian J. Bommer, M. EERI In the current practice of probabilistic seismic hazard analysis (PSHA), logic trees are widely used to represent and capture epistemic uncertainty in each element of the models for seismic sources and ground-motion prediction. Construction of a logic tree involves...
Journal Article
Published: 01 August 2012
Earthquake Spectra (2012) 28 (3): 1291–1296.
...Roger Musson An objection sometimes made against treating the weights of logic tree branches as probabilities relates to the Kolmogorov axioms, but these are only an obstacle if one believes that logic tree branches represent a seismic source model or ground motion model as being “true.” Models...
Published: 01 October 2010
DOI: 10.1130/2010.2471(12)
... of the closest suspect seismogenic faults near the archaeological site. The observations have been quantified using the two logic trees for paleoseismology and archaeoseismology. Our results show that a mere paleoseismological classification of the geological features leads to a paleoseismic quality factor (PQF...
Journal Article
Published: 01 November 2008
Earthquake Spectra (2008) 24 (4): 997–1009.
...Julian J. Bommer, M.EERI; Frank Scherbaum, M.EERI Logic trees have become a standard feature of probabilistic seismic hazard analyses (PSHA) for determining design ground motions. A logic tree's purpose is to capture and quantify the epistemic uncertainty associated with the inputs to PSHA and thus...
Journal Article
Published: 01 October 2005
Bulletin of the Seismological Society of America (2005) 95 (5): 1575–1593.
...Frank Scherbaum; Julian J. Bommer; Hilmar Bungum; Fabrice Cotton; Norm A. Abrahamson Abstract Logic trees have become a popular tool in seismic hazard studies. Commonly, the models corresponding to the end branches of the complete logic tree in a probabalistic seismic hazard analysis ( psha...
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Journal Article
Published: 01 April 2005
Bulletin of the Seismological Society of America (2005) 95 (2): 377–389.
...Julian J. Bommer; Frank Scherbaum; Hilmar Bungum; Fabrice Cotton; Fabio Sabetta; Norman A. Abrahamson Abstract Logic trees are widely used in probabilistic seismic hazard analysis as a tool to capture the epistemic uncertainty associated with the seismogenic sources and the ground-motion prediction...
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Journal Article
Published: 01 February 1998
Earthquake Spectra (1998) 14 (1): 189–201.
...Nitzan Rabinowitz; David M. Steinberg; Gideon Leonard This article explains the essential duality between logic tree analysis and sensitivity analysis in probabilistic seismic hazard assessment. The results of a logic tree analysis can be used to carry out a sensitivity analysis. More important...
Journal Article
Published: 01 September 2012
Seismological Research Letters (2012) 83 (5): 815–828.
...), soil (the choice is a single uniform National Earthquake Hazards Reduction Program (NEHRP) site class or varying soil by location), and the fragility model. Like Grossi (2000) , we use a risk metric, focusing on the sensitivity of societal risk to individual uncertainties in the hazard logic tree...
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Journal Article
Published: 21 July 2015
Bulletin of the Seismological Society of America (2015) 105 (4): 2151–2159.
... for this purpose is the logic tree. Notwithstanding its vast popularity, the logictree outcomes are still interpreted in two different and irreconcilable ways. In one case, practitioners claim that the mean hazard of the logic tree is the hazard and the distribution of all outcomes does not have any probabilistic...
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Journal Article
Published: 01 August 1999
Earthquake Spectra (1999) 15 (3): 385–395.
...Christopher Roth, M.EERI The seismic performance of a nonstructural secondary system depends on the performance of each component of the system, and on the way in which the components are connected. The performance of each component is commonly described using fragility curves. Logic trees may...
Journal Article
Published: 01 August 2017
Earthquake Spectra (2017) 33 (3): 857–874.
...Keith Porter, M. EERI; Edward Field, M. EERI; Kevin Milner The size of the logic tree within the Uniform California Earthquake Rupture Forecast Version 3, Time-Dependent (UCERF3-TD) model can challenge risk analyses of large portfolios. An insurer or catastrophe risk modeler concerned with losses...
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Journal Article
Published: 01 August 2017
Earthquake Spectra (2017) 33 (3): 837–856.
...Özkan Kale, M. EERI; Sinan Akkar, M. EERI We propose a methodology that can be useful to the hazard expert in building ground-motion logic trees to capture the center and range of ground-motion amplitudes. The methodology can be used to identify a logic-tree structure and weighting scheme...
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Journal Article
Published: 01 November 2011
Earthquake Spectra (2011) 27 (4): 1237–1251.
...Frank Scherbaum; Nicolas M. Kuehn Logic trees have become the most popular tool for the quantification of epistemic uncertainties in probabilistic seismic hazard assessment (PSHA). In a logic-tree framework, epistemic uncertainty is expressed in a set of branch weights, by which an expert...
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Image
Example mean and epistemic fractiles of the hazard using the logic trees shown in Figure 2. (a) Nonergodic GMM without local data to constrain the nonergodic terms. (b) Nonergodic GMM with local data to constrain the nonergodic terms. The color version of this figure is available only in the electronic edition.
Published: 19 December 2024
Figure 4. Example mean and epistemic fractiles of the hazard using the logic trees shown in Figure  2 . (a) Nonergodic GMM without local data to constrain the nonergodic terms. (b) Nonergodic GMM with local data to constrain the nonergodic terms. The color version of this figure is available only
Image
Logic trees for the earthquake rupture forecast (ERF) and ground motion model (GMM) components of the 2023 Alaska National Seismic Hazard Model. Refer to Table 2 for GMM identifiers and references. GR: Gutenberg-Richter; GK: Gardner and Knopoff (1974); NN: nearest-neighbor (Zaliapin and Ben-Zion, 2020); R85: Reasenberg (1985).
Published: 01 November 2024
Figure 3. Logic trees for the earthquake rupture forecast (ERF) and ground motion model (GMM) components of the 2023 Alaska National Seismic Hazard Model. Refer to Table 2 for GMM identifiers and references. GR: Gutenberg-Richter; GK: Gardner and Knopoff (1974) ; NN: nearest-neighbor
Journal Article
Published: 01 November 2013
Seismological Research Letters (2013) 84 (6): 938–945.
... of the logic trees representing the full range of uncertainty in the seismic source characterization ( SSC ) and ground‐motion characterization ( GMC ) models. A promising approach for addressing this requirement is illustrated with a practical example from a PSHA project for the Thyspunt nuclear site...
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Image
Logic trees showing the grouping and weights of subduction (a) interface and (b) intraslab GMMs in the 2023 NSHM.
Published: 01 August 2024
Figure 4. Logic trees showing the grouping and weights of subduction (a) interface and (b) intraslab GMMs in the 2023 NSHM.
Image
Logic trees proposed for the combination of the Central America Earthquake Source Scaling Relations (CA‐ESSR) and the global empirical source scaling relations (ESSR). Each branch corresponds to the recommended ESSR for which the weight for weighting the option is indicated. The color version of this figure is available only in the electronic edition.
Published: 01 February 2024
Figure 7. Logic trees proposed for the combination of the Central America Earthquake Source Scaling Relations (CA‐ESSR) and the global empirical source scaling relations (ESSR). Each branch corresponds to the recommended ESSR for which the weight for weighting the option is indicated. The color