New Evidence and Perspective to the Poisson Process and Earthquake Temporal Distribution from 55,000 Events around Taiwan since 1900

Wang, Jui Pin; Huang, Duruo; Chang, Shaohua; Wu, Yih‐Min

doi:10.1061/(asce)nh.1527-6996.0000110

Cited by 31 publications

(13 citation statements)

References 20 publications

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“…Nevertheless, it must be noted that the ''earthquake-and-Poisson'' relationship was supported by earthquake observations in California or in Taiwan [21,22], making it more of a fact than an assumption.…”

Section: Discussion: Earthquake Seismic Hazard and The Poisson Distmentioning

confidence: 97%

“…As many other studies [21,22], we further performed Chi-square tests to examine the model's goodness-of-fit in a more quantitative manner. (Details of the statistical test are given in the Appendix.)…”

Section: The Probability Distribution Of Seismic Hazardmentioning

confidence: 99%

“…4. As mentioned previously, the model error following the normal distribution is governed by the fundamentals of a regression model, and earthquake frequency following the Poisson distribution is a common presumption in earthquake studies [21,22].…”

Section: Data Randomizationsmentioning

confidence: 99%

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Evidence in support of seismic hazard following Poisson distribution

Wang

Chang

2015

Physica A: Statistical Mechanics and its Applications

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Section: Discussion: Earthquake Seismic Hazard and The Poisson Distmentioning

confidence: 97%

Section: The Probability Distribution Of Seismic Hazardmentioning

confidence: 99%

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Evidence in support of seismic hazard following Poisson distribution

Wang

Chang

2015

Physica A: Statistical Mechanics and its Applications

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“…Para evaluar el desempeño estructural se utilizan análisis probabilísticos y se considera que la ocurrencia de los sismos es un proceso de Poisson (Wang et al, 2014). Se aplica el método de integración para obtener las tasas anuales de excedencia de un cierto nivel de distorsión máxima de entrepiso dada una intensidad sísmica.…”

Section: Introductionunclassified

Factores De Carga Óptimos Para El Diseño Sísmico De Edificios

Mora¹,

Ruiz²

2018

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RESUMENEn el presente trabajo se revisan las combinaciones de carga para el diseño de edificaciones que se establecen en el Reglamento de Construcciones del Distrito Federal (RCDF-2004) y sus Normas Técnicas Complementarias (NTC-2004). Se proponen nuevos factores de carga para que se especifiquen en la próxima versión del (RCDF). Se revisa la combinación de carga gravitacional (carga muerta más carga viva) y la combinación de carga por sismo (carga muerta, carga viva y carga por sismo). Se propone una metodología para establecer factores y combinaciones óptimos de carga que garanticen el mínimo costo total esperado durante la vida útil de la estructura y que la probabilidad de falla sea al menos igual a la implícita en el RCDF-2004. Para la estimación de la confiabilidad estructural se hace uso de las Redes Neuronales Artificiales.Palabras clave: combinación de carga; probabilidad de falla; costo total esperado; diseño sísmico; Redes Neuronales Artificiales OPTIMAL LOAD FACTORS FOR SEISMIC DESIGN OF BUILDINGS ABSTRACTThe load factors and load combinations established in the Mexico City Building Code (MCBC) and its Complementary Technical Standards are revised. New load and resistance factors are proposed to be specified in the next version of the MCBC. The combination of gravitational loads are considered (dead load plus live load) and the combination of earthquake load is also reviewed. A reliabilitybased development of load factors for the combination of seismic and gravity loads is presented. The procedure aims at minimizing the total expected life-cycle cost of buildings having a minimum value of probability of failure equal to the implicit probability in the MCBC. The structural reliability is estimated using Artificial Neural Networks.

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“…Figure 4 shows the seismicity around Taiwan since 1900 from an earthquake catalog containing around 57 000 events. It is worth noting that this catalog has been analyzed for a variety of earthquake studies, from earthquake hazard assessment (Wang et al, 2013a), to earthquake engineering release (Huang and Wang, 2011), to earthquake statistics study (Wang et al, , 2013b. Understandably, the catalog is not complete for small events.…”

Section: Earthquake Geology and The Seismicity Around Taiwanmentioning

confidence: 99%

A first-order second-moment calculation for seismic hazard assessment with the consideration of uncertain magnitude conversion

Wang

Xie

2013

Nat. Hazards Earth Syst. Sci.

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Abstract. Earthquake size can be described with different magnitudes for different purposes. For example, local magnitude M L is usually adopted to compile an earthquake catalog, and moment magnitude M w is often prescribed by a ground motion model. Understandably, when inconsistent units are encountered in an earthquake analysis, magnitude conversion needs to be performed beforehand. However, the conversion is not expected at full certainty owing to the model error of empirical relationships. This paper introduces a novel first-order second-moment (FOSM) calculation to estimate the annual rate of earthquake motion (or seismic hazard) on a probabilistic basis, including the consideration of the uncertain magnitude conversion and three other sources of earthquake uncertainties. In addition to the methodology, this novel FOSM application to engineering seismology is demonstrated in this paper with a case study. With a local ground motion model, magnitude conversion relationship and earthquake catalog, the analysis shows that the best-estimate annual rate of peak ground acceleration (PGA) greater than 0.18 g (induced by earthquakes) is 0.002 per year at a site in Taipei, given the uncertainties of magnitude conversion, earthquake size, earthquake location, and motion attenuation.

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New Evidence and Perspective to the Poisson Process and Earthquake Temporal Distribution from 55,000 Events around Taiwan since 1900

Cited by 31 publications

References 20 publications

Evidence in support of seismic hazard following Poisson distribution

Evidence in support of seismic hazard following Poisson distribution

Factores De Carga Óptimos Para El Diseño Sísmico De Edificios

A first-order second-moment calculation for seismic hazard assessment with the consideration of uncertain magnitude conversion

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