Abstract
China is a country prone to frequent earthquakes due to geography and climate complexity. The task of seismic hazard analysis is to estimate the potential level of ground motion parameters that would be produced by future earthquakes. In this paper, a novel method for seismic hazard analysis is proposed based on the fuzzy probabilistic approach. The earthquake magnitude and source-to-site distance are defined as fuzzy-random variables. Further, Cornell model is applied to evaluate the ground motion and the fuzzy-probability of exceedance of the peak ground acceleration level. The advantage of the fuzzy probabilistic seismic hazard analysis model over the traditional deterministic and probabilistic seismic hazard models is that it considers two types of uncertainties, aleatory and epistemic. The proposed model investigates the seismic hazard of Kunming, the capital of Yunnan province in China.
| Original language | English |
|---|---|
| Title of host publication | COMPDYN 2017 - Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering |
| Editors | M. Papadrakakis, Michalis Fragiadakis |
| Publisher | National Technical University of Athens |
| Pages | 4480-4495 |
| Number of pages | 16 |
| ISBN (Electronic) | 9786188284425 |
| DOIs | |
| State | Published - 2017 |
| Externally published | Yes |
| Event | 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2017 - Rhodes Island, Greece Duration: 15 Jun 2017 → 17 Jun 2017 |
Publication series
| Name | COMPDYN 2017 - Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering |
|---|---|
| Volume | 2 |
Conference
| Conference | 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2017 |
|---|---|
| Country/Territory | Greece |
| City | Rhodes Island |
| Period | 15/06/17 → 17/06/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- Earthquakes
- Fuzzy sets
- Fuzzy-probability
- Ground motion
- Peak ground acceleration
- Seismic Hazard analysis
- Yunnan Province
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