Development of the OpenQuake engine, the Global Earthquake Model’s open-source software for seismic risk assessment

Silva, Vítor; Crowley, Helen; Pagani, Marco; Monelli, Damiano; Pinho, Rui

doi:10.1007/s11069-013-0618-x

Cited by 287 publications

(186 citation statements)

References 8 publications

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“…The modeling is carried out using the OpenQuake Silva et al, 2014) suite of software tools. OpenQuake is a product of the Global Earthquake Model 8 , FIGURE 11 | The lead-times available across the Kyrgyz Republic and surrounding area for a repetition of the M 7.8 1911 Kemin earthquake (red star, Table 1), using the regional approach (black contour lines).…”

Section: Modeling Historical Events and The Resulting Lead Timesmentioning

confidence: 99%

Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic

et al. 2017

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The first real-time digital strong-motion network in Central Asia has been installed in the Kyrgyz Republic since 2014. Although this network consists of only 19 strong-motion stations, they are located in near-optimal locations for earthquake early warning and rapid response purposes. In fact, it is expected that this network, which utilizes the GFZ-Sentry software, allowing decentralized event assessment calculations, not only will provide useful strong motion data useful for improving future seismic hazard and risk assessment, but will serve as the backbone for regional and on-site earthquake early warning operations. Based on the location of these stations, and travel-time estimates for P-and S-waves, we have determined potential lead times for several major urban areas in Kyrgyzstan (i.e., Bishkek, Osh, and Karakol) and Kazakhstan (Almaty), where we find the implementation of an efficient earthquake early warning system would provide lead times outside the blind zone ranging from several seconds up to several tens of seconds. This was confirmed by the simulation of the possible shaking (and intensity) that would arise considering a series of scenarios based on historical and expected events, and how they affect the major urban centers. Such lead times would allow the instigation of automatic mitigation procedures, while the system as a whole would support prompt and efficient actions to be undertaken over large areas.

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Section: Modeling Historical Events and The Resulting Lead Timesmentioning

confidence: 99%

Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic

et al. 2017

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“…Due to its modular and flexible architecture, the method presented herein can be applied to any building typology. This framework has been developed as an open source effort and can be found in a repository at GitHub [9]; the fragility and vulnerability models produced with this tool can be directly used in the open source software, OpenQuake, for seismic hazard and risk assessment being developed by the Global Earthquake Model [10] (Silva et al, 2012b).…”

Section: Discussionmentioning

confidence: 99%

Extending displacement-based earthquake loss assessment (DBELA) for the computation of fragility curves

Silva

Crowley

Pinho

et al. 2013

Engineering Structures

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SUMMARYThis paper presents a new procedure to derive fragility functions for populations of buildings that relies on the displacement-based earthquake loss assessment (DBELA) methodology. In the method proposed herein, thousands of synthetic buildings have been produced considering the probabilistic distribution describing the variability in geometrical and material properties. Then, their nonlinear capacity has been estimated using the DBELA method and their response against a large set of ground motion records has been estimated. Global limit states are used to estimate the distribution of buildings in each damage state for different levels of ground motion, and a regression algorithm is applied to derive fragility functions for each limit state. The proposed methodology is demonstrated for the case of ductile and non-ductile Turkish reinforced concrete frames with masonry infills.

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“…Pagani et al 2014), and for each event a spatially correlated field of ground motion is simulated, and the resulting damage/loss is estimated by combing this with the exposure and vulnerability models (see e.g. Crowley and Bommer 2006;Silva et al 2013a).…”

Section: Probabilistic Hazard/risk Assessmentmentioning

confidence: 99%

Earthquake Risk Assessment: Present Shortcomings and Future Directions

Crowley

2014

Geotechnical, Geological and Earthquake Engineering

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This paper looks at the current practices in regional and portfolio seismic risk assessment, discusses some of their shortcomings and presents proposals for improving the state-of-the-practice in the future. Both scenario-based and probabilistic risk assessment are addressed, and modelling practices in the hazard, fragility/ vulnerability and exposure components are presented and critiqued. The subsequent recommendations for improvements to the practice and necessary future research are mainly focused on treatment and propagation of uncertainties.

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Development of the OpenQuake engine, the Global Earthquake Model’s open-source software for seismic risk assessment

Cited by 287 publications

References 8 publications

Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic

Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic

Extending displacement-based earthquake loss assessment (DBELA) for the computation of fragility curves

Earthquake Risk Assessment: Present Shortcomings and Future Directions

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