A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Bayesian analysis-based ground motion prediction equations for earthquake input energy
https://orcid.org/0000-0002-2731-6780
https://orcid.org/0000-0002-2068-8194
https://orcid.org/0000-0002-3756-6185
Abstract Earthquake energy-based procedures offer a promising alternative for seismic evaluation and earthquake-resistant design of structures. Accurate determination of earthquake energy demand and the provision of an adequate energy supply to the structural system are crucial for this approach. This is where the utilization of ground motion prediction equations (GMPEs) becomes essential in achieving accurate assessment of seismic demands on structures. However, most GMPEs primarily focus on determining spectral accelerations. This study proposes a methodology to derive GMPEs by combining the Fourier amplitude spectrum, the elastic input energy spectrum, and Bayesian regression analysis. These GMPEs estimate energy-based spectral values for interplate and intraslab earthquakes recorded in the firm ground of Mexico City. Furthermore, a mathematical expression is devised to determine correlation coefficients between energy-based spectral values for interplate and intraslab earthquakes, expanding the GMPEs' applicability. Finally, a probabilistic seismic hazard analysis is conducted using the proposed GMPEs and the correlation model.
Highlights GMPEs for estimating equivalent velocity of earthquake input energy are derived. The proposed GMPEs are associated with interplate and intraslab earthquakes. The used methodology is based on the Fourier spectrum and Bayesian regression. Correlation coefficients between energy-based spectral values are computed. PSHA is perform employing the proposed GMPEs and correlation model.
Bayesian analysis-based ground motion prediction equations for earthquake input energy
https://orcid.org/0000-0002-2731-6780
https://orcid.org/0000-0002-2068-8194
https://orcid.org/0000-0002-3756-6185
Abstract Earthquake energy-based procedures offer a promising alternative for seismic evaluation and earthquake-resistant design of structures. Accurate determination of earthquake energy demand and the provision of an adequate energy supply to the structural system are crucial for this approach. This is where the utilization of ground motion prediction equations (GMPEs) becomes essential in achieving accurate assessment of seismic demands on structures. However, most GMPEs primarily focus on determining spectral accelerations. This study proposes a methodology to derive GMPEs by combining the Fourier amplitude spectrum, the elastic input energy spectrum, and Bayesian regression analysis. These GMPEs estimate energy-based spectral values for interplate and intraslab earthquakes recorded in the firm ground of Mexico City. Furthermore, a mathematical expression is devised to determine correlation coefficients between energy-based spectral values for interplate and intraslab earthquakes, expanding the GMPEs' applicability. Finally, a probabilistic seismic hazard analysis is conducted using the proposed GMPEs and the correlation model.
Highlights GMPEs for estimating equivalent velocity of earthquake input energy are derived. The proposed GMPEs are associated with interplate and intraslab earthquakes. The used methodology is based on the Fourier spectrum and Bayesian regression. Correlation coefficients between energy-based spectral values are computed. PSHA is perform employing the proposed GMPEs and correlation model.
Bayesian analysis-based ground motion prediction equations for earthquake input energy
https://orcid.org/0000-0002-2731-6780
https://orcid.org/0000-0002-2068-8194
https://orcid.org/0000-0002-3756-6185
Abstract Earthquake energy-based procedures offer a promising alternative for seismic evaluation and earthquake-resistant design of structures. Accurate determination of earthquake energy demand and the provision of an adequate energy supply to the structural system are crucial for this approach. This is where the utilization of ground motion prediction equations (GMPEs) becomes essential in achieving accurate assessment of seismic demands on structures. However, most GMPEs primarily focus on determining spectral accelerations. This study proposes a methodology to derive GMPEs by combining the Fourier amplitude spectrum, the elastic input energy spectrum, and Bayesian regression analysis. These GMPEs estimate energy-based spectral values for interplate and intraslab earthquakes recorded in the firm ground of Mexico City. Furthermore, a mathematical expression is devised to determine correlation coefficients between energy-based spectral values for interplate and intraslab earthquakes, expanding the GMPEs' applicability. Finally, a probabilistic seismic hazard analysis is conducted using the proposed GMPEs and the correlation model.
Highlights GMPEs for estimating equivalent velocity of earthquake input energy are derived. The proposed GMPEs are associated with interplate and intraslab earthquakes. The used methodology is based on the Fourier spectrum and Bayesian regression. Correlation coefficients between energy-based spectral values are computed. PSHA is perform employing the proposed GMPEs and correlation model.
Bayesian analysis-based ground motion prediction equations for earthquake input energy
Bojórquez, Edén (author) / Ruiz, Sonia E. (author) / Rodríguez-Castellanos, Ali (author) / Orellana, Miguel A. (author) / Reyes-Salazar, Alfredo (author) / Bojórquez, Juan (author)
2023-07-01
Article (Journal)
Electronic Resource
English
A Bayesian Updating Applied to Earthquake Ground-Motion Prediction Equations for Iran
| Online Contents | 2017
A Bayesian Updating Applied to Earthquake Ground-Motion Prediction Equations for Iran
| Online Contents | 2016
A Bayesian Updating Applied to Earthquake Ground-Motion Prediction Equations for Iran
| Taylor & Francis Verlag | 2017
Earthquake ground motion : input definition for aseismic design
| TIBKAT | 2015
Selection of Ground Motion Prediction Equations for the Global Earthquake Model
| Online Contents | 2015