Relevant bibliographies by topics / Seismic Hazard Analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Seismic Hazard Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2023

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Journal articles on the topic "Seismic Hazard Analysis"

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Sari, Anggun Mayang, and Afnindar Fakhrurrozi. "SEISMIC HAZARD MICROZONATION BASED ON PROBABILITY SEISMIC HAZARD ANALYSIS IN BANDUNG BASIN." RISET Geologi dan Pertambangan 30, no. 2 (December 30, 2020): 215. http://dx.doi.org/10.14203/risetgeotam2020.v30.1138.

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The geological and seismic-tectonic setting in the Bandung Basin area proliferates the seismicity risk. Thus, it is necessary to investigate the seismic hazards caused by the foremost seismic source that affects the ground motions in the bedrock. This research employed Probability Seismic Hazard Analysis (PSHA) method to determine the peak ground acceleration value. It considers the source of the earthquakes in the radius of 500 km with a return period of 2500 years. The analysis results showed that the Peak Ground Acceleration (PGA) in this region varies from 0.46 g to 0.70 g. It correlates with the magnitude and hypocentre of the dominant earthquake source of the study locations. The PGA value on the bedrock was used as an input to develop the seismic hazard microzonation map. It was composed using the Geographic Information System (GIS) to visualise the result. This research provides a scientific foundation for constructing residential buildings and infrastructure, particularly as earthquake loads in the building structure design calculations. ABSTRACT - Mikrozonasi Bahaya Seismik Berdasarkan Probability Seismic Hazard Analysis di Cekungan Bandung. Kondisi geologi dan seismik-tektonik di Cekungan Bandung meningkatkan risiko kegempaan di wilayah tersebut. Oleh karena itu, perlu dilakukan penelitian tentang bahaya seismik yang disebabkan oleh sumber-sumber gempa di sekitarnya yang mempengaruhi gelombang gempa di batuan dasar. Penelitian ini menggunakan metode Probability Seismic Hazard Analysis (PSHA) untuk menentukan nilai percepatan gelombang gempa di batuan dasar. Lebih lanjut penelitian ini menggunakan sumber gempa dalam radius 500 km dengan periode perulangan 2500 tahun. Hasil analisis menunjukkan bahwa Peak Ground Acceleration (PGA) di wilayah ini bervariasi dari 0,46 g hingga 0,70 g. Hal ini berkorelasi dengan magnitudo dan jarak hiposenter sumber gempa dominan terhadap lokasi penelitian. Nilai PGA di batuan dasar digunakan sebagai input data dalam pembuatan peta mikrozonasi bahaya seismik. Peta mikrozonasi bahaya seismik disusun dan divisualisasikan menggunakan Sistem Informasi Geografis (SIG). Luaran penelitian ini menghasilkan landasan ilmiah pada konstruksi bangunan tempat tinggal dan infrastruktur, khususnya sebagai pembebanan gempa dalam perhitungan desain struktur bangunan.
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Tahernia, N. "Fuzzy-Logic Tree Approach for Seismic Hazard Analysis." International Journal of Engineering and Technology 6, no. 3 (2014): 182–85. http://dx.doi.org/10.7763/ijet.2014.v6.692.

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SOMSA-ARD, NANTHAPORN, and SANTI PAILOPLEE. "SEISMIC HAZARD ANALYSIS FOR MYANMAR." Journal of Earthquake and Tsunami 07, no. 04 (November 2013): 1350029. http://dx.doi.org/10.1142/s1793431113500292.

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In this study, the seismic hazards of Myanmar are analyzed based on both deterministic and probabilistic scenarios. The area of the Sumatra–Andaman Subduction Zone is newly defined and the lines of faults proposed previously are grouped into nine earthquake sources that might affect the Myanmar region. The earthquake parameters required for the seismic hazard analysis (SHA) were determined from seismicity data including paleoseismological information. Using previously determined suitable attenuation models, SHA maps were developed. For the deterministic SHA, the earthquake hazard in Myanmar varies between 0.1 g in the Eastern part up to 0.45 g along the Western part (Arakan Yoma Thrust Range). Moreover, probabilistic SHA revealed that for a 2% probability of exceedance in 50 and 100 years, the levels of ground shaking along the remote area of the Arakan Yoma Thrust Range are 0.35 and 0.45 g, respectively. Meanwhile, the main cities of Myanmar located nearby the Sagaing Fault Zone, such as Mandalay, Yangon, and Naypyidaw, may be subjected to peak horizontal ground acceleration levels of around 0.25 g.
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Matuschka, T., K. R. Berryman, A. J. O'Leary, G. H. McVerry, W. M. Mulholland, and R. I. Skinner. "New Zealand seismic hazard analysis." Bulletin of the New Zealand Society for Earthquake Engineering 18, no. 4 (December 31, 1985): 313–22. http://dx.doi.org/10.5459/bnzsee.18.4.313-322.

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The results of a seismic hazard analysis for the country by the Seismic Risk Subcommittee (SRS) of the Standards Association are presented. The SRS was formed in 1979 to advise the Standards Association Loadings Code Amendments Committee on the frequency and level of earthquake ground shaking throughout New Zealand. Results of the SRS study are in terms of estimates of five percent damped horizontal acceleration response spectra for 50, 150, 450 and 1000 year return periods. It is intended that these results will form the basis for developing seismic design response spectra for the proposed new Loadings Code (NZS 4203).
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PUTRA, Rusnardi Rahmat, Junji KIYONO, Yusuke ONO, and Hari Ram PARAJULI. "SEISMIC HAZARD ANALYSIS FOR INDONESIA." Journal of Natural Disaster Science 33, no. 2 (2012): 59–70. http://dx.doi.org/10.2328/jnds.33.59.

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Putcha, C. S., and J. M. Ferritto. "Seismic hazard analysis—Computer validation." Computers & Structures 58, no. 4 (February 1996): 679–88. http://dx.doi.org/10.1016/0045-7949(95)00167-f.

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Ellingwood, Bruce R. "Seismic hazard and risk analysis." Structural Safety 27, no. 3 (July 2005): 284–85. http://dx.doi.org/10.1016/j.strusafe.2004.12.004.

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Sharma, Sunil, and Mario Candia-Gallegos. "Seismic hazard analysis of Peru." Engineering Geology 32, no. 1-2 (February 1992): 73–79. http://dx.doi.org/10.1016/0013-7952(92)90019-u.

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Klügel, Jens-Uwe. "Seismic Hazard Analysis — Quo vadis?" Earth-Science Reviews 88, no. 1-2 (May 2008): 1–32. http://dx.doi.org/10.1016/j.earscirev.2008.01.003.

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Mohindra, Rakesh, Anand K. S. Nair, Sushil Gupta, Ujjwal Sur, and Vladimir Sokolov. "Probabilistic Seismic Hazard Analysis for Yemen." International Journal of Geophysics 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/304235.

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A stochastic-event probabilistic seismic hazard model, which can be used further for estimates of seismic loss and seismic risk analysis, has been developed for the territory of Yemen. An updated composite earthquake catalogue has been compiled using the databases from two basic sources and several research publications. The spatial distribution of earthquakes from the catalogue was used to define and characterize the regional earthquake source zones for Yemen. To capture all possible scenarios in the seismic hazard model, a stochastic event set has been created consisting of 15,986 events generated from 1,583 fault segments in the delineated seismic source zones. Distribution of horizontal peak ground acceleration (PGA) was calculated for all stochastic events considering epistemic uncertainty in ground-motion modeling using three suitable ground motion-prediction relationships, which were applied with equal weight. The probabilistic seismic hazard maps were created showing PGA and MSK seismic intensity at 10% and 50% probability of exceedance in 50 years, considering local soil site conditions. The resulting PGA for 10% probability of exceedance in 50 years (return period 475 years) ranges from 0.2 g to 0.3 g in western Yemen and generally is less than 0.05 g across central and eastern Yemen. The largest contributors to Yemen’s seismic hazard are the events from the West Arabian Shield seismic zone.
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Dissertations / Theses on the topic "Seismic Hazard Analysis"

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Mak, Sum. "Seismic analysis of the South China Region." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B30588893.

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Mapuranga, Victor Philip. "Probabilistic seismic hazard analysis for Zimbabwe." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/43166.

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In this study, the seismic hazards of Zimbabwe are presented as maps showing probabilistic peak ground acceleration (PGA). Seismic hazards maps have a 10% chance of exceeding the indicated ground acceleration over a 50 year period, and are prepared using a homogenized 101 year catalogue compiled for seismic moment magnitude . Two approaches of probabilistic seismic hazard assessment were applied. The first was the widely used "deductive" approach (Cornell, 1968) which integrates geological and geophysical information together with seismic event catalogues in the assessment of seismic hazards. Application of the procedure includes several steps. As a first step, this procedure requires the delineation of potential seismic zones, which is strongly influenced by historic patterns and based on independent geologic evidence or tectonic features such as faults (Atkinson, 2004; Kijko and Graham, 1998). The second method was the "parametric-historic" approach of Kijko and Graham (1998, 1999) which has been developed for regions with incomplete catalogues and does not require the subjective delineation of active seismic zones. It combines the best features of the deductive Cornell-McGuire procedure and the historic method of Veneziano et al. (1984). Four (4) ground motion prediction equations suitable for hard rock conditions in a specified region were applied in the assessment of seismic hazards. The highest levels of hazards in Zimbabwe are in the south-eastern border of the country with Mozambique, the Lake Kariba area and the mid-Zambezi basin in the vicinity of the Save-Limpopo mobile belt. Results show that assessment of seismic hazard using parametric-historic procedure to a large extent gives a “mirror” of the seismicity pattern whereas using the classic Cornell-McGuire procedure gives results that reflect the delineated pattern of seismic zones and the two methods are best used complementary of each other depending on available input data.
Dissertation (MSc)--University of Pretoria, 2014.
lk2014
Physics
MSc
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Kocair, Celebi. "A Grid-based Seismic Hazard Analysis Application." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612540/index.pdf.

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The results of seismic hazard analysis (SHA) play a crucial role in assessing seismic risks and mitigating seismic hazards. SHA calculations generally involve magnitude and distance distribution models, and ground motion prediction models as components. Many alternatives have been proposed for these component models. SHA calculations may be demanding in terms of processing power depending on the models and analysis parameters involved, and especially the size of the site for which the analysis is to be performed. In this thesis, we develop a grid-based SHA application which provides the necessary computational power and enables the investigation of the effects of applying different models. Our application not only includes various already implemented component models but also allows integration of newly developed ones.
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Mak, Sum, and 麥琛. "Seismic analysis of the South China Region." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B30588893.

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Tsang, Hing-ho. "Probabilistic seismic hazard assessment direct amplitude-based approach /." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36783456.

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Tsang, Hing-ho, and 曾慶豪. "Probabilistic seismic hazard assessment: direct amplitude-based approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36783456.

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The Best PhD Thesis in the Faculties of Dentistry, Engineering, Medicine and Science (University of Hong Kong), Li Ka Shing Prize, 2005-2006.
published_or_final_version
abstract
Civil Engineering
Doctoral
Doctor of Philosophy
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Wetie, Ngongang Ariane. "Seismic and Volcanic Hazard Analysis for Mount Cameroon Volcano." Diss., University of Pretoria, 2016. http://hdl.handle.net/2263/60871.

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Mount Cameroon is considered the only active volcano along a 1600 km long chain of volcanic complexes called the Cameroon Volcanic Line (CVL). It has erupted seven times during the last 100 years, the most recent was in May 2000. The approximately 500,000 inhabitants that live and work around the fertile flanks are exposed to impending threats from volcanic eruptions and earthquakes. In this thesis, a hazard assessment study that involves both statistical modelling of seismic hazard parameters and the evaluation of a future volcanic risk was undertaken on Mount Cameroon. The Gutenberg-Richter magnitude-frequency relations, the annual activity rate, the maximum magnitude, the rate of volcanic eruptions and risks assessment were examined. The seismic hazard parameters were estimated using the Maximum Likelihood Method on the basis of a procedure which combines seismic data containing incomplete files of large historical events with complete files of short periods of observations. A homogenous Poisson distribution model was applied to previous recorded volcanic eruptions of Mount Cameroon to determine the frequency of eruption and assess the probability of a future eruption. Frequency-magnitude plots indicated that Gutenberg-Richter b-values are partially dependent on the maximum regional magnitude and the method used in their calculation. b-values showed temporal and spatial variation with an average value of 1.53 ± 0.02. The intrusion of a magma body generating the occurrence of relatively small earthquakes as observed in our instrumental catalogue, could be responsible for this high anomalous b-value. An epicentre map of locally recorded earthquakes revealed that the southeastern zone is the most seismically active part of the volcano. The annual mean activity rate of the seismicity strongly depends on the time span of the seismic catalogue and results showed that on average, one earthquake event occurs every 10 days. The maximum regional magnitude values which had been determined from various approaches overlap when their standard deviations are taken into account. However, the magnitude distribution model of the Mt. Cameroon earthquakes might not follow the form of the Gutenberg-Richter frequency magnitude relationship. The datations of the last eruptive events that have occurred on Mt. Cameroon volcanic complex are presented. No specific pattern was observed on the frequency of eruptions, which means that a homogenous Poisson distribution provides a suitable model to estimate the rate of occurrence of volcanic eruptions and evaluate the risk of a future eruption. Two different approaches were used to estimate the mean eruption rate (λ) and both yielded a value of 0.074. The results showed that eruptions take place on average once every 13 years and, with the last eruption occurring over 15 years ago, it is considered that there is at present a high risk of an eruption to occur.
Dissertation (MSc)--University of Pretoria, 2016.
Geology
MSc
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Wilding, Andrew J. "Development of a GIS-based seismic hazard screening tool." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2008. http://scholarsmine.mst.edu/thesis/pdf/Wilding_Thesis_FINAL_09007dcc804eb333.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2008.
Vita. The print version of this thesis includes an accompanying CD-ROM. "Included with this Thesis is a CD-ROM, which contain the VISUAL BASIC CODE for the S4 application...The included code is divided into three files: a) VISUAL BASIC Module Code, b) VISUAL BASIC Form Code, and c) VISUAL BASIC FFT Code."--leaf 158. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 25, 2008) Includes bibliographical references (p. 160-172).
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Free, Matthew William. "The attenuation of earthquake strong-motion in intraplate regions." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321810.

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Dawood, Haitham Mohamed Mahmoud Mousad. "Partitioning Uncertainty for Non-Ergodic Probabilistic Seismic Hazard Analyses." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/70757.

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Properly accounting for the uncertainties in predicting ground motion parameters is critical for Probabilistic Seismic Hazard Analyses (PSHA). This is particularly important for critical facilities that are designed for long return period motions. Non-ergodic PSHA is a framework that allows for this proper accounting of uncertainties. This, in turn, allows for more informed decisions by designers, owners and regulating agencies. The ergodic assumption implies that the standard deviation applicable to a specific source-path-site combination is equal to the standard deviation estimated using a database with multiple source-path-site combinations. The removal of the ergodic assumption requires dense instrumental networks operating in seismically active zones so that a sufficient number of recordings are made. Only recently, with the advent of networks such as the Japanese KiK-net network has this become possible. This study contributes to the state of the art in earthquake engineering and engineering seismology in general and in non-ergodic seismic hazard analysis in particular. The study is divided in for parts. First, an automated protocol was developed and implemented to process a large database of strong ground motions for GMPE development. A comparison was conducted between the common records in the database processed within this study and other studies. The comparison showed the viability of using the automated algorithm to process strong ground motions. On the other hand, the automated algorithm resulted in narrower usable frequency bandwidths because of the strict criteria adopted for processing the data. Second, an approach to include path-specific attenuation rates in GMPEs was proposed. This approach was applied to a subset of the KiK-net database. The attenuation rates across regions that contains volcanoes was found to be higher than other regions which is in line with the observations of other researchers. Moreover, accounting for the path-specific attenuation rates reduced the aleatoric variability associated with predicting pseudo-spectral accelerations. Third, two GMPEs were developed for active crustal earthquakes in Japan. The two GMPEs followed the ergodic and site-specific formulations, respectively. Finally, a comprehensive residual analysis was conducted to find potential biases in the residuals and propose models to predict some components of variability as a function of some input parameters.
Ph. D.
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Books on the topic "Seismic Hazard Analysis"

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National Research Council (U.S.). Panel on Seismic Hazard Analysis. Probabilistic seismic hazard analysis. Washington, D.C: National Academy Press, 1988.

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McGuire, Robin K. Seismic hazard and risk analysis. Oakland, Calif: Earthquake Engineering Research Institute, 2004.

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Huang, Yu, and Miao Yu. Hazard Analysis of Seismic Soil Liquefaction. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4379-6.

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Maida, O. S. Seismic macrozonation and hazard analysis for Malawi. [Malawi: s.n., 1994.

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Claude, Boissonnade Auguste, Short C. M, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering Technology., and Lawrence Livermore National Laboratory, eds. Investigation of techniques for the development of seismic design basis using the probabilistic seismic hazard analysis. Washington, DC: Division of Engineering Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1998.

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Bernreuter, D. L. Investigation of techniques for the development of seismic design basis using the probabilistic seismic hazard analysis. Washington, D.C: U.S. Nuclear Regulatory Commission, 1998.

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Hansen, Michael C. Earthquakes and seismic risk in Ohio. Columbus: Ohio Dept. of Natural Resources, Division of Geological Survey, 1994.

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1954-, Brocher Thomas Mark, and Geological Survey (U.S.), eds. Wide-angle seismic recordings from the 1998 Seismic Hazards Investigation of Puget Sound (SHIPS), western Washington and British Columbia. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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M, Brocher Thomas, and Geological Survey (U.S.), eds. Wide-angle seismic recordings from the 1998 Seismic Hazards Investigation of Puget Sound (SHIPS), western Washington and British Columbia. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Snay, Richard A. Geodetically derived strain across the northern New Madrid Seismic Zone. Washington: U.S. G.P.O., 1994.

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Book chapters on the topic "Seismic Hazard Analysis"

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Cimellaro, Gian Paolo, and Sebastiano Marasco. "Seismic Hazard Analysis." In Introduction to Dynamics of Structures and Earthquake Engineering, 251–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72541-3_10.

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Sitharam, T. G., Naveen James, and Sreevalsa Kolathayar. "Seismic Hazard Analysis." In Comprehensive Seismic Zonation Schemes for Regions at Different Scales, 33–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89659-5_3.

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Saouma, Victor E., and M. Amin Hariri-Ardebili. "Seismic Hazard Analysis." In Aging, Shaking, and Cracking of Infrastructures, 549–75. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57434-5_23.

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Glazer, S. N. "Caving Process and Seismic Hazard." In Mine Seismology: Data Analysis and Interpretation, 265–304. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32612-2_8.

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Speidel, D. H., and P. H. Mattson. "Problems for Probabilistic Seismic Hazard Analysis." In Earthquake and Atmospheric Hazards, 165–79. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5034-7_5.

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Wang, John G. Z. Q., and K. Tim Law. "Seismic hazard analysis for a site." In Siting in earthquake zones, 37–52. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203739648-4.

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Glazer, S. N. "Lift 2 Palabora—Seismic Hazard Monitoring." In Mine Seismology: Data Analysis and Interpretation, 379–402. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32612-2_12.

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Huang, Yu, and Miao Yu. "Macroscopic Characteristics of Seismic Liquefaction." In Hazard Analysis of Seismic Soil Liquefaction, 11–33. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4379-6_2.

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Huang, Yu, and Miao Yu. "Introduction." In Hazard Analysis of Seismic Soil Liquefaction, 1–9. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4379-6_1.

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Huang, Yu, and Miao Yu. "Liquefaction Potential Evaluation Based on In Situ Testing." In Hazard Analysis of Seismic Soil Liquefaction, 35–59. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4379-6_3.

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Conference papers on the topic "Seismic Hazard Analysis"

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Parajuli, H. Ram, J. Kiyono, H. Taniguchi, K. Toki, and P. Nath Maskey. "Probabilistic seismic hazard assessment for Nepal." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100351.

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Chiang, Pei-En, and J. P. Wang. "CAV Seismic Hazard Analysis of Taiwan." In Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019). Singapore: Research Publishing Services, 2019. http://dx.doi.org/10.3850/978-981-11-2725-0-is11-7-cd.

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Demjancukova, Katerina, and Dana Prochazkova. "Probabilistic Seismic Hazard Assessment in Countries With Low Seismicity." In ASME 2014 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/pvp2014-28937.

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The region of the Czech Republic is mostly composed of the Bohemian Massif which is considered as a geological unit with low seismic activity. Nevertheless, all critical objects as the nuclear power plants, big dams etc. are built as aseismic structures. The nuclear installations have to satisfy the IAEA safety standards and requirements. One of important phenomena that have to be involved in the PSHA process is the diffuse seismicity. In 2010 International Atomic Energy Agency issued a specific safety guide SSG-9 Seismic Hazards in Site Evaluation for Nuclear Installations. The key chapters are focused on general recommendations, necessary information and investigations (database), construction of a regional seismotectonic model, evaluation of the ground motion hazard, probabilistic seismic hazards analysis (PSHA), deterministic seismic hazards analysis, potential for fault displacement at the site, design basis ground motion, fault displacement and other hazards, evaluation of seismic hazards for nuclear installations other than NPPs. In the paper a numerical example of seismic hazard assessment will be presented with emphasis on problems and particularities related to PSHA in countries with low seismic activity.
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Ghosh, A. K., and H. S. Kushwaha. "Seismic Hazard Analysis for an NPP Site." In 12th International Conference on Nuclear Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/icone12-49475.

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The various uncertainties and randomness associated with the occurrence of earthquakes and the consequences of their effects on the NPP components and structures call for a probabilistic seismic risk assessment (PSRA). However, traditionally, the seismic design basis ground motion has been specified by normalised response spectral shapes and peak ground acceleration (PGA). The mean recurrence interval (MRI) used to be computed for PGA only. The present work develops uniform hazard response spectra i.e. spectra having the same MRI at all frequencies for Kakrapar Atomic Power Station site. Sensitivity of the results to the changes in various parameters has also been presented. These results determine the seismic hazard at the given site and the associated uncertainties. The paper also presents some results of the seismic fragility for an existing containment structure. The various parameters that could affect the seismic structural response include material strength of concrete, structural damping available within the structure and the normalized ground motion response spectral shape. Based on this limited case study the seismic fragility of the structure is developed. The results are presented as families of conditional probability curves plotted against the peak ground acceleration (PGA). The procedure adopted incorporates the various randomness and uncertainty associated with the parameters under consideration.
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Robiana, R., and A. Cipta. "Seismic hazard analysis for Jayapura city, Papua." In NATIONAL PHYSICS CONFERENCE 2014 (PERFIK 2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4915039.

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Ciucci, Mariano, Alessandra Marino, Fabrizio Paolacci, and Oreste S. Bursi. "Integrated Smart Seismic Risks Management." In ASME 2019 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/pvp2019-94027.

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Abstract Recent events outlined the relevance of the interactions between industrial and natural hazards (NATECH) particularly for that concern seismic risk. EU regulation, namely Directive 2012/18/EU, among its new elements explicitly requires the analysis of NATECH hazards. The development of a risk analysis methodology for major hazard industrial plants allows the individuation of critical elements of the plants with regard to seismic actions. The following implementation of smart technologies (sensors, actuators, innovative systems for seismic protection) to the critical elements allows a relevant reduction of major hazards and related consequences.
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Karakostas, C. Z., and V. K. Papanikolaou. "A low-cost instrumentation approach for seismic hazard assessment in urban areas." In RISK ANALYSIS 2014. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/risk140091.

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Yu, Yu, Xiaoming Qian, Shengfei Wang, Xuefeng Lv, and Fenglei Niu. "Analysis of Passive System Reliability in Seismic Hazard." In 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2012. http://dx.doi.org/10.1109/appeec.2012.6306989.

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Gasparini, G., S. Silvestri, and T. Trombetti. "A Proposed Approach for Probabilistic Seismic Hazard Analysis." In 12th Biennial International Conference on Engineering, Construction, and Operations in Challenging Environments; and Fourth NASA/ARO/ASCE Workshop on Granular Materials in Lunar and Martian Exploration. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41096(366)244.

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Desai, Sarika, and Deepankar Choudhury. "Deterministic Seismic Hazard Analysis for Greater Mumbai, India." In Geo-Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413272.038.

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Reports on the topic "Seismic Hazard Analysis"

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Benson, William E., Jr Berg, and Joseph W. Probabilistic Seismic Hazard Analysis. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada203074.

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Chouinard, L., P. Rosset, A. de la Puente, R. Madriz, D. Mitchell, and J. Adams. Seismic hazard analysis for Montreal. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/226360.

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Savy, J. Princeton Plasma Physics Laboratory (PPPL) seismic hazard analysis. Office of Scientific and Technical Information (OSTI), October 1989. http://dx.doi.org/10.2172/7170083.

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Savy, J., and B. Foxall. Probabilistic Seismic Hazard Analysis for Southern California Coastal Facilities. Office of Scientific and Technical Information (OSTI), April 2004. http://dx.doi.org/10.2172/15009831.

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Pulpan, Hans. Seismic-hazard analysis of the Nenana agricultural development area, central Alaska. Alaska Division of Geological & Geophysical Surveys, 1986. http://dx.doi.org/10.14509/1268.

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Pulpan, Hans. Seismic-hazard analysis of the Nenana agricultural development area, central Alaska. Alaska Division of Geological & Geophysical Surveys, 1988. http://dx.doi.org/10.14509/2442.

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Paces, James B. 230Th/U ages Supporting Hanford Site-Wide Probabilistic Seismic Hazard Analysis. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1128696.

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Bernreuter, D. L., A. C. Boissonnade, and C. M. Short. Investigation of techniques for the development of seismic design basis using the probabilistic seismic hazard analysis. Office of Scientific and Technical Information (OSTI), April 1998. http://dx.doi.org/10.2172/589212.

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Mazzoni, Silvia, Nicholas Gregor, Linda Al Atik, Yousef Bozorgnia, David Welch, and Gregory Deierlein. Probabilistic Seismic Hazard Analysis and Selecting and Scaling of Ground-Motion Records (PEER-CEA Project). Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/zjdn7385.

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Abstract:
This report is one of a series of reports documenting the methods and findings of a multi-year, multi-disciplinary project coordinated by the Pacific Earthquake Engineering Research Center (PEER) and funded by the California Earthquake Authority (CEA). The overall project is titled “Quantifying the Performance of Retrofit of Cripple Walls and Sill Anchorage in Single-Family Wood-Frame Buildings,” henceforth referred to as the “PEER–CEA Project.” The overall objective of the PEER–CEA Project is to provide scientifically based information (e.g., testing, analysis, and resulting loss models) that measure and assess the effectiveness of seismic retrofit to reduce the risk of damage and associated losses (repair costs) of wood-frame houses with cripple wall and sill anchorage deficiencies as well as retrofitted conditions that address those deficiencies. Tasks that support and inform the loss-modeling effort are: (1) collecting and summarizing existing information and results of previous research on the performance of wood-frame houses; (2) identifying construction features to characterize alternative variants of wood-frame houses; (3) characterizing earthquake hazard and ground motions at representative sites in California; (4) developing cyclic loading protocols and conducting laboratory tests of cripple wall panels, wood-frame wall subassemblies, and sill anchorages to measure and document their response (strength and stiffness) under cyclic loading; and (5) the computer modeling, simulations, and the development of loss models as informed by a workshop with claims adjustors. This report is a product of Working Group 3 (WG3), Task 3.1: Selecting and Scaling Ground-motion records. The objective of Task 3.1 is to provide suites of ground motions to be used by other working groups (WGs), especially Working Group 5: Analytical Modeling (WG5) for Simulation Studies. The ground motions used in the numerical simulations are intended to represent seismic hazard at the building site. The seismic hazard is dependent on the location of the site relative to seismic sources, the characteristics of the seismic sources in the region and the local soil conditions at the site. To achieve a proper representation of hazard across the State of California, ten sites were selected, and a site-specific probabilistic seismic hazard analysis (PSHA) was performed at each of these sites for both a soft soil (Vs30 = 270 m/sec) and a stiff soil (Vs30=760 m/sec). The PSHA used the UCERF3 seismic source model, which represents the latest seismic source model adopted by the USGS [2013] and NGA-West2 ground-motion models. The PSHA was carried out for structural periods ranging from 0.01 to 10 sec. At each site and soil class, the results from the PSHA—hazard curves, hazard deaggregation, and uniform-hazard spectra (UHS)—were extracted for a series of ten return periods, prescribed by WG5 and WG6, ranging from 15.5–2500 years. For each case (site, soil class, and return period), the UHS was used as the target spectrum for selection and modification of a suite of ground motions. Additionally, another set of target spectra based on “Conditional Spectra” (CS), which are more realistic than UHS, was developed [Baker and Lee 2018]. The Conditional Spectra are defined by the median (Conditional Mean Spectrum) and a period-dependent variance. A suite of at least 40 record pairs (horizontal) were selected and modified for each return period and target-spectrum type. Thus, for each ground-motion suite, 40 or more record pairs were selected using the deaggregation of the hazard, resulting in more than 200 record pairs per target-spectrum type at each site. The suites contained more than 40 records in case some were rejected by the modelers due to secondary characteristics; however, none were rejected, and the complete set was used. For the case of UHS as the target spectrum, the selected motions were modified (scaled) such that the average of the median spectrum (RotD50) [Boore 2010] of the ground-motion pairs follow the target spectrum closely within the period range of interest to the analysts. In communications with WG5 researchers, for ground-motion (time histories, or time series) selection and modification, a period range between 0.01–2.0 sec was selected for this specific application for the project. The duration metrics and pulse characteristics of the records were also used in the final selection of ground motions. The damping ratio for the PSHA and ground-motion target spectra was set to 5%, which is standard practice in engineering applications. For the cases where the CS was used as the target spectrum, the ground-motion suites were selected and scaled using a modified version of the conditional spectrum ground-motion selection tool (CS-GMS tool) developed by Baker and Lee [2018]. This tool selects and scales a suite of ground motions to meet both the median and the user-defined variability. This variability is defined by the relationship developed by Baker and Jayaram [2008]. The computation of CS requires a structural period for the conditional model. In collaboration with WG5 researchers, a conditioning period of 0.25 sec was selected as a representative of the fundamental mode of vibration of the buildings of interest in this study. Working Group 5 carried out a sensitivity analysis of using other conditioning periods, and the results and discussion of selection of conditioning period are reported in Section 4 of the WG5 PEER report entitled Technical Background Report for Structural Analysis and Performance Assessment. The WG3.1 report presents a summary of the selected sites, the seismic-source characterization model, and the ground-motion characterization model used in the PSHA, followed by selection and modification of suites of ground motions. The Record Sequence Number (RSN) and the associated scale factors are tabulated in the Appendices of this report, and the actual time-series files can be downloaded from the PEER Ground-motion database Portal (https://ngawest2.berkeley.edu/)(link is external).
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Payne, Suzette, Ryan Coppersmith, Kevin Coppersmith, Adrian Rodriguez-Marek, Valentina Montaldo Falero, and Robert Youngs. SSHAC Level 1 Probabilistic Seismic Hazard Analysis for the Idaho National Laboratory. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1367865.

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