The Use and Misuse of Logic Trees in Probabilistic Seismic Hazard Analysis

Author:

Bommer Julian J.1,Scherbaum Frank2

Affiliation:

1. Civil & Environmental Engineering, Imperial College London, London SW7 2AZ, United Kingdom

2. Institut für Geowissenschaften, Universität Potsdam, Karl-Liebknecht Str. 24, 14476 Potsdam, Germany

Abstract

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 enable estimation of the resulting uncertainty in the hazard. There are many potential pitfalls in setting up a logic tree for PSHA, mainly related to the fact that in practice, it is questionable that the requirements that the logic-tree branches be both mutually exclusive and collectively exhaustive can actually be met. Careful consideration is also required for making use of the output; in particular, in view of how PSHA is employed in current engineering design practice, it may be more rational to determine the mean ground motion at the selected design return period rather than to find the ground motion at the mean value of this return period.

Publisher

SAGE Publications

Subject

Geophysics,Geotechnical Engineering and Engineering Geology

Reference28 articles.

1. Abrahamson, N. A. , 2000. State of the practice of seismic hazard assessment, inProceedings, GeoEng 2000, vol. 1, 659–685, Melbourne, Australia.

2. Abrahamson, N. A., Birkhauser, P., Koller, M., Mayer-Rosa, D., Smit, P., Sprecher, C., Tinic, S., and Graf, R. , 2002. PEGASOS: A comprehensive probabilistic seismic hazard assessment for nuclear power plants in Switzerland, inProceedings, Twelfth European Conference on Earthquake Engineering, paper 633, London.

3. Probability and Uncertainty in Seismic Hazard Analysis

4. Relationships between Median Values and between Aleatory Variabilities for Different Definitions of the Horizontal Component of Motion

5. Relationships between Median Values and between Aleatory Variabilities for Different Definitions of the Horizontal Component of Motion

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