R-CRISIS: 35 years of continuous developments and improvements for probabilistic seismic hazard analysis

Ordaz, Mario; Salgado‐Gálvez, Mario A.; Giraldo, Sebastián

doi:10.1007/s10518-021-01098-w

Cited by 23 publications

(9 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…is the probability density function of magnitude, and are the minimum and maximum earthquakes that may occur in the seismic source [41] , is Gutenberg-Richter coe cient [42] ; is the annual number of seismic events in a given magnitude range, is earthquake catalog period, is the probability density function of epicentral distance; is the epicentral distance [43] , is Limit of epicentral distance; is the probability density function of focal depth, is the focal depth, is the tting coe cient.…”

Section: Psha Methodsmentioning

confidence: 99%

Probabilistic seismic hazard analysis of BPNN predicting PGA

Guo

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

Probabilistic seismic hazard analysis (PSHA) is recognized as a reasonable method for quantifying seismic threats. Traditionally, the method ignores the effect of focal depth and in which the ground motion prediction equations (GMPEs) are applied to estimate the probability distribution associated with the possible motion levels induced by the site earthquakes, but it is limited by the unclear geological conditions, which makes it difficult to give a uniform equation, and the equation cannot express the nonlinear relationship in geological conditions. Hence, this paper proposes a method to consider the seismic focal depth for the PSHA with the example of California, and use a back propagation neural network (BPNN) to predict peak ground acceleration (PGA) instead of the GMPEs. Firstly, the measured PGA and unknown PGA seismic data applicable to this method are collected separately. Secondly, the unknown PGA data are supplemented by applying the BPNN based on the measured PGA data. Lastly, based on the full-probability equation PSHA considering the focal depth is completed and compared with the current California seismic zoning results. The results show that using the BPNN in the PSHA can ensure computational accuracy and universality, making it more suitable for regions with the unclear geological structures and providing the possibility of adding other parameters to be considered for the influence of PSHA.

show abstract

Section: Psha Methodsmentioning

confidence: 99%

Probabilistic seismic hazard analysis of BPNN predicting PGA

Guo

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…A reverse/strike-slip focal mechanism type and a rock basement were considered in the GMPE, for all areas. Finally, the seismic hazard was assessed using the R-CRISIS software [83]. The software can calculate the expected hazard value (in this case, PGA and the Peak Ground Velocity; PGV) for estimated earthquake occurrence probabilities at specific timeframes, for the given distribution of sources and the event magnitudes within the limits of each zone.…”

Section: Seismic Hazardmentioning

confidence: 99%

Seismological and Ground Deformation Study of the Ionian Islands (W. Greece) during 2014–2018, a Period of Intense Seismic Activity

et al. 2022

View full text Add to dashboard Cite

Seismicity in the Ionian Sea (W. Greece) is mainly generated along the Cephalonia–Lefkada Transform Fault Zone (CLTFZ) in the central Ionian, and on the northwestern termination of the Hellenic subduction margin in the south. Joint pre-, co- and post-seismic ground deformation and seismological analysis is performed at the broad Ionian area, aiming to homogeneously study the spatiotemporal evolution of the activity prior to and after the occurrence of strong (M > 6) earthquakes during the period of 2014–2018. The 2014 Cephalonia earthquakes (Mw6.1 and Mw5.9) were generated on a faulting system adjacent to CLTFZ, causing local ground deformation. The post-seismic sequence is coupled in space and time with the 2015 Lefkada earthquake (Mw6.4), which occurred on the Lefkada segment of the CLTFZ. Co-seismic displacement was recorded in the broader area. Seismicity was concentrated along the CLTFZ, while its temporal evolution lasted for several months. The 2018 Zakynthos earthquake (Mw6.7) caused regional deformation and alterations on the near-velocity field, with the seismicity rate remaining above background levels until the end of 2021. In the northern Ionian, convergence between the Apulian platform and the Hellenic foreland occurs, exhibiting low seismicity. Seismic hazard assessment revealed high PGA and PGV expected values in the central Ionian.

show abstract

“…Material in the form of soil, or a combination of soil and rock fragments, will travel down the slope due to water infiltration into the pores of the rock or soil [16]. This state raises the stress on the slope surface material and represses the material and rock fragments, which might lead to the flow of material and water [17,18].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Seismic Hazard Analysis on Pavement Failure Restoration; Case Study of Sorong–Makbon Road

Caroles

2023

Sustainability

View full text Add to dashboard Cite

The Sorong–MakbonSorong–Makbon Corridor is one of the key routes connecting Sorong to other sections of the West Papua region in Indonesia. Throughout the Sorong–Makbon Corridor, roads and slopes often sustain damage. When landslides reach the road shoulder and destroy the pavement, they often prevent access to the road. In addition to the influence of surface water runoff, there are indications that earthquakes contribute to the ineffectiveness of the previous design. This seems to be accurate since the author has seen the typical movement of avalanches. Using the Probabilistic Seismic Hazard Analysis (PSHA) approach, the earthquake’s effects on this corridor were mapped out. With the use of the Indonesian earthquake data library, the Matlab-Zmap Program, and the Spectrum Response, the history of earthquakes in the Sorong–Makbon corridor was analysed to determine their velocity. This analysis reveals that the earthquake’s influence on the Sorong–Makbon corridor has an acceleration value between 1.2 and 1.5 G. The prior design did not account for a quake of this magnitude. With this study, the correctly identified seismic impact could be sent back into the simulation to more adequately repair and restore the damage.

show abstract

R-CRISIS: 35 years of continuous developments and improvements for probabilistic seismic hazard analysis

Cited by 23 publications

References 79 publications

Probabilistic seismic hazard analysis of BPNN predicting PGA

Probabilistic seismic hazard analysis of BPNN predicting PGA

Seismological and Ground Deformation Study of the Ionian Islands (W. Greece) during 2014–2018, a Period of Intense Seismic Activity

Probabilistic Seismic Hazard Analysis on Pavement Failure Restoration; Case Study of Sorong–Makbon Road

Contact Info

Product

Resources

About