Academic literature on the topic 'Earthquake modeling'
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Journal articles on the topic "Earthquake modeling"
Menasri, A., M. Brahimi, R. Frank, and A. Bali. "ARMA Modeling of Artificial Accelerograms for Algeria." Applied Mechanics and Materials 105-107 (September 2011): 348–55. http://dx.doi.org/10.4028/www.scientific.net/amm.105-107.348.
Full textCharpentier, Arthur, and Marilou Durand. "Modeling earthquake dynamics." Journal of Seismology 19, no. 3 (April 16, 2015): 721–39. http://dx.doi.org/10.1007/s10950-015-9489-9.
Full textLin, Jeng Hsiang. "Time Series Modeling of Earthquake Ground Motions Using ARMA-GARCH Models." Applied Mechanics and Materials 470 (December 2013): 240–43. http://dx.doi.org/10.4028/www.scientific.net/amm.470.240.
Full textXia, Wenjie. "Electrochemical Seismic Design and Artificial Intelligence System Modeling of High-Rise Steel Structure Buildings." Journal of Chemistry 2022 (June 13, 2022): 1–8. http://dx.doi.org/10.1155/2022/8693110.
Full textAbbas, Intisar H., and Maysam Th Al-hadidi. "Effect of Halabjah Earthquake on Al-Wand Earth Dam: Numerical Analysis." E3S Web of Conferences 318 (2021): 01016. http://dx.doi.org/10.1051/e3sconf/202131801016.
Full textMonica, Fadilla, Vira Friska, Deasy Arisa, and Marzuki Marzuki. "Comparison of Deformation Vectors Due to Earthquake in Subduction Zone and Sumatran Fault for Each Phase of Earthquake Cycle." JURNAL ILMU FISIKA | UNIVERSITAS ANDALAS 14, no. 2 (June 20, 2022): 73–85. http://dx.doi.org/10.25077/jif.14.2.73-85.2022.
Full textMadlazim, M. "COULOMB STRESS CHANGES DUE TO RECENT ACEH EARTHQUAKES." Jurnal Penelitian Fisika dan Aplikasinya (JPFA) 5, no. 1 (June 14, 2015): 9. http://dx.doi.org/10.26740/jpfa.v5n1.p9-14.
Full textShao, Bo, Guiting Hou, and Jun Shen. "Inter-episodes earthquake migration in the Bohai-Zhangjiakou Fault Zone, North China: Insights from numerical modeling." PLOS ONE 16, no. 5 (May 19, 2021): e0251606. http://dx.doi.org/10.1371/journal.pone.0251606.
Full textOgawa, Yoshiki, Yoshihide Sekimoto, and Ryosuke Shibasaki. "Estimation of earthquake damage to urban environments using sparse modeling." Environment and Planning B: Urban Analytics and City Science 48, no. 5 (January 21, 2021): 1075–90. http://dx.doi.org/10.1177/2399808320986560.
Full textZimbidis, Alexandros A., Nickolaos E. Frangos, and Athanasios A. Pantelous. "Modeling Earthquake Risk via Extreme Value Theory and Pricing the Respective Catastrophe Bonds." ASTIN Bulletin 37, no. 01 (May 2007): 163–83. http://dx.doi.org/10.2143/ast.37.1.2020804.
Full textDissertations / Theses on the topic "Earthquake modeling"
Stathas, Alexandros. "Numerical modeling of earthquake faults." Thesis, Ecole centrale de Nantes, 2021. http://www.theses.fr/2021ECDN0053.
Full textDuring coseismic slip, the energy released by the elastic unloading of the adjacent earth blocks can be separated in three main parts: The energy that is radiated to the earth’s surface (_ 5% of the whole energy budget), the fracture energy for the creation of new fault surfaces and finally, the energy dissipated inside a region of the fault, with finite thickness, which is called the fault gauge. This region accumulates the majority of the seismic slip. Estimating correctly the width of the fault gauge is of paramount importance in calculating the energy dissipated during the earthquake, the fault’s frictional response, and the conditions for nucleation of the fault in the form of seismic or aseismic slip.In this thesis different regularization approaches were explored for the estimation of the localization width of the fault’s principal slip zone during coseismic slip. These include the application of viscosity and multiphysical couplings in the classical Cauchy continuum, and the introduction of a first order micromorphic Cosserat continuum. First, we focus on the role of viscous regularization in the context of dynamical analyses, as a method for regularizing strain localization. We study the dynamic case for a strain softening strain-rate hardening classical Cauchy continuum, and by applying the Lyapunov stability analysis we show that introduction of viscosity is unable to prevent strain localization on a mathematical plane and mesh dependence.We perform fully non linear analyses using the Cosserat continuum under large seismic slip displacements of the fault gouge in comparison to its width. Cosserat continuum provides us with a proper account of the energy dissipated during an earthquake and the role of the microstructure in the evolution of the fault’s friction. We focus on the influence of the seismic slip velocity to the weakening mechanism of thermal pressurization. We notice that the influence of the boundary conditions in the diffusion of the pore fluid inside the fault gouge, leads to frictional strength regain after initial weakening. Furthermore, a traveling strain localization mode is present during shearing of the layer introducing oscillations in the frictional response. Such oscillations increase the spectral content of the earthquake. Introduction of viscosity in the above mode, leads to a rate and state behavior without the introduction of a specific internal state variable. Our conclusions about the role of thermal pressurization during shearing of the fault gouge, agree qualitatively with newly available experimental results.Finally, based on the numerical findings we investigate the assumptions of the current model of a slip on a mathematical plane, in particular the role of the boundary conditions and strain localization mode in the evolution of the fault’s friction during coseismic slip. The case of a bounded domain and a traveling strain localization mode are examined in the context of slip on a mathematical plane under thermal pressurization. Our results expand the original model in a more general context
Hjörleifsdóttir, Vala Simons Mark Tromp Jeroen. "Earthquake source characterization using 3D numerical modeling /." Diss., Pasadena, Calif. : California Institute of Technology, 2007. http://resolver.caltech.edu/CaltechETD:etd-03212007-170259.
Full textSong, Teh-Ru Alex Tromp Jeroen Helmberger Donald V. "Broadband modeling of earthquake source and mantle structures /." Diss., Pasadena, Calif. : California Institute of Technology, 2008. http://resolver.caltech.edu/CaltechETD:etd-05192008-121937.
Full textLink, Steven B. "Predictive earthquake damage modeling for natural gas distribution infrastructure." Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/122832.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 61-64).
The Pacific Gas and Electric Company (PG&E) operates and maintains 48,000 miles of natural gas pipeline, serving over 4.3 million customer accounts. Along with water, electric power, and transportation services, these lifelines serve critical functions throughout multiple communities. Considering PG&E provides services in both densely populated and seismically active areas, the organization has invested extensively in modeling technology to help estimate resource needs and develop resiliency plans in the event of an earthquake. This thesis aimed to develop a damage prediction model to improve emergency response time and restoration efficiency. The machine-learning based model built upon currently used predictive algorithms, while adding features necessary to account for distribution branch lines and above-ground meter sets. Research and analysis showed factors beyond ground-motion prediction equations could be used to estimate pipeline damage and were consequently included.
Furthermore, the model incorporated real-time data acquired throughout repair and restoration efforts in order to improve the predictive performance. Historical incidents were examined in the data aggregation phase in order to develop the training set. For this paper, damage was defined as the number of leaks predicted in a given plat, as defined by PG&E's mapping services. Leaks were categorized in three separate bins, ranging from 0 leaks, 1 to 5 leaks, and 6 or greater leaks. Multiple classification algorithms were chosen and evaluated against a custom scoring metric designed to discriminate and penalize false negatives. The best results were achieved using a series of five logistic regression algorithms, executed at 2, 4, 8, 12 and 24 hours following event occurrence. Results were designed to accompany currently used seismic hazard reports in a ranked table, displaying areas with the highest to lowest probability of experiencing damage.
An additional web application was designed to query specific plats for prediction results.
by Steven B. Link.
M.B.A.
S.M.
M.B.A. Massachusetts Institute of Technology, Sloan School of Management
S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering
Lee, Wayne Y. "Numerical modeling of blast-induced liquefaction /." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1431.pdf.
Full textLu, Jinchi. "Parallel finite element modeling of earthquake ground response and liquefaction." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3203984.
Full textTitle from first page of PDF file (viewed April 3, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 344-359).
Zhou, Jian Mei. "Effect of nonlinear soil modeling on ground response at Macau." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2182936.
Full textLi, Wei. "Nonlinear effects in ground motion simulations: modeling variability, parametric uncertainty and implications in structural performance predictions." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34658.
Full textLi, Shaoyang [Verfasser]. "Geomechanical modeling of earthquake cycles in Chilean subduction zone / Shaoyang Li." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1107011671/34.
Full textCorradini, Marina. "Reconstruction of the earthquake rupture process through coherent teleseismic imaging and statistical modeling." Thesis, Université de Paris (2019-....), 2019. https://theses.md.univ-paris-diderot.fr/CORRADINI_Marina_va1.pdf.
Full textMany studies have attempted to illuminate rupture complexities of large earthquakes through the use of coherent imaging techniques such as back-projection (BP). Recently, Fukahata et al. (2013) suggested that, from a theoretical point of view, the BP image of the rupture is related to the slip motion on the fault. However, the quantitative relationship between the BP images and the physical properties of the earthquake rupture process still remains unclear.Our work aims at clarifying how BP images of the radiated wavefield can be used to infer spatial heterogeneities in slip and rupture velocity along the fault. We simulate different rupture processes using a line source model. For each rupture model, we calculate synthetic seismograms at three teleseismic arrays and we apply the BP technique to identify the sources of high-frequency (HF) radiation. This procedure allows for the comparison of the BP images with the originating rupture model, and thus the interpretation of HF emissions in terms of along-fault variation of the three kinematic parameters: rise time, final slip, rupture velocity. Our results show that the HF peaks retrieved from BP analysis are most closely associated with space-time heterogeneities of slip acceleration. We verify our findings on two major earthquakes that occurred 9 years apart on the strike-slip Swan Islands fault: the Mw 7.3 2009 and the Mw 7.5 2018 North of Hondurasearthquakes. Both events followed a simple linear geometry, making them suitable for comparison with our synthetic approach. Despite the simple geometry, both slip-rate functions are complex, with several subevents. Our preliminary results show that the BP image of HF emissions allows to estimate a rupture length and velocity which are compatible with other studies and that strong HF radiation corresponds to the areas of large variability of the moment-rate function. An outstanding question is whether one can use the BP image of the earthquake to retrieve the kinematic parameters along the fault. We build on the findings obtained in the synthetic examples by training a neural network model to directly predict the kinematic parameters along the fault, given an input BP image. We train the network on a large number of different synthetic rupture processes and their BP images, with the goal of identifying the statistical link between HF radiation and rupture kinematic parameters. Our results show that the neural network applied to the BP image of the earthquake is able to predict the values of rise time and rupture velocity along the fault, as well as thecentral position of the heterogeneity, but not the absolute slip values, to which the HF BP approach is relatively insensitive. Our work sheds some light on the gap currently existing between the theoretical description of the generation of HF radiation and the observations of HF emissions obtained by coherent imaging techniques, tackling possible courses of action and suggesting new perspectives
Books on the topic "Earthquake modeling"
Cofer, William F. Analytical modeling of foundations for seismic analysis of bridges. [Olympia, Wash.]: Washington State Dept. of Transportation, 1994.
Find full textVotsi, Irene, Nikolaos Limnios, Eleftheria Papadimitriou, and George Tsaklidis. Earthquake Statistical Analysis through Multi-state Modeling. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119579076.
Full textAkkar, Sinan, Alper Ilki, Caglar Goksu, and Mustafa Erdik, eds. Advances in Assessment and Modeling of Earthquake Loss. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68813-4.
Full textHess, R. H. Loss-estimation modeling of earthquake scenarios for each county in Nevada using HAZUS-MH. [Reno]: Nevada Bureau of Mines and Geology, 2006.
Find full textWhite, Robert M. Evaluation of hypotheses for the cause of the 1886 Charleston earthquake: Final report. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.
Find full textZerva, Aspasia. Spatial variation of seismic ground motions: Modeling and engineering applications. Boca Raton, FL: CRC Press, 2008.
Find full textCoats, D. W. Damping in building structures during earthquakes: Test data and modeling. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.
Find full textWhite, Robert M. Evaluation of hypotheses for the cause of the 1886 Charleston earthquake / prepared by R. M. White, L. T. Long ; prepared for Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission. Washington, DC: Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.
Find full textJapan) Workshop on Modeling of Dynamic Behavior of Wood Structure (1997 Tsukuba-shi. Workshop on Modeling of Dynamic Behavior of Wood Structure: 11-12 December 1997 ; visual projection room of BRI, with eventual move for observation of a shaking table test at National Disaster Prevention Research Institute. Tsukuba, Ibaraki, Japan: Building Research Institute, Ministry of Construction, Japan, 2000.
Find full textPease, Jonathan W. Liquefaction hazards in the San Francisco Bay region: Site investigation, modeling, and hazard assessment at areas most seriously affected by the 1989 Loma Prieta earthquake. Ithaca, NY: School of Civil and Enviromental Engineering, Cornell University, 1995.
Find full textBook chapters on the topic "Earthquake modeling"
Ruth, Matthias, and Bruce Hannon. "Earthquake." In Modeling Dynamic Biological Systems, 317–32. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0651-4_40.
Full textBillings, L. J., and R. Shepherd. "Mathematical modeling of seismic isolators." In Earthquake Engineering, edited by Shamim A. Sheikh and S. M. Uzumeri, 245–52. Toronto: University of Toronto Press, 1991. http://dx.doi.org/10.3138/9781487583217-032.
Full textLourenço, Paulo B. "Masonry Modeling." In Encyclopedia of Earthquake Engineering, 1–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-36197-5_153-1.
Full textLourenço, Paulo B. "Masonry Modeling." In Encyclopedia of Earthquake Engineering, 1419–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35344-4_153.
Full textMulargia, Francesco, and Robert J. Geller. "Modeling earthquakes." In Earthquake Science and Seismic Risk Reduction, 1–19. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0041-3_1.
Full textKongar, Indranil, and Sonia Giovinazzi. "Damage to Infrastructure: Modeling." In Encyclopedia of Earthquake Engineering, 1–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-36197-5_356-1.
Full textGiovinazzi, Sonia, Indranil Kongar, Gian Maria Bocchini, and Daria Ottonelli. "Damage to Buildings: Modeling." In Encyclopedia of Earthquake Engineering, 1–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-36197-5_357-1.
Full textKongar, Indranil, and Sonia Giovinazzi. "Damage to Infrastructure: Modeling." In Encyclopedia of Earthquake Engineering, 524–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35344-4_356.
Full textGiovinazzi, Sonia, Indranil Kongar, Gian Maria Bocchini, and Daria Ottonelli. "Damage to Buildings: Modeling." In Encyclopedia of Earthquake Engineering, 506–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35344-4_357.
Full textKumari, Sunita, and V. A. Sawant. "Numerical Modeling of Liquefaction." In Advances in Earthquake Geotechnics, 113–29. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3330-1_6.
Full textConference papers on the topic "Earthquake modeling"
Ca¸gˇnan, Z., and R. Davidson. "Post-Earthquake Lifeline Service Restoration Modeling." In Sixth U.S. Conference and Workshop on Lifeline Earthquake Engineering (TCLEE) 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40687(2003)27.
Full textZhang, Yinxing, Puzhen Gao, Jian Zhou, Hanying Chen, and Peng Ji. "Modeling the Natural Circulation Influenced by Earthquake." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-66495.
Full textWang, Cheng-Chi, Her-Terng Yau, Yen-Liang Yeh, and Ming-Jyi Jang. "Nonlinear Dynamic Analysis of Earthquake Model." In 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE, 2009. http://dx.doi.org/10.1109/kam.2009.180.
Full textHitchcock, Christopher, Stuart Nishenko, Chih-Hung Lee, Joseph Sun, Sean Sundermann, Mark Zellman, and Robert Givler. "GIS-Based Seismic Hazard Mapping for Pipeline Integrity Management." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10351.
Full textBao, Hesheng, Jacobo Bielak, Omar Ghattas, Loukas F. Kallivokas, David R. O'Hallaron, Jonathan R. Shewchuk, and Jifeng Xu. "Earthquake ground motion modeling on parallel computers." In the 1996 ACM/IEEE conference. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/369028.369053.
Full textWang, Fu-Tai, Jenny Chih-Yu Lee, Chin-Feng Lin, Shun-Hsyung Change, Chu-Tien Chen, Wen-Jin Kao, and Chien-Chuan Hwu. "Chaotic modeling for earthquake datum via wavelet transform." In OCEANS 2012 - YEOSU. IEEE, 2012. http://dx.doi.org/10.1109/oceans-yeosu.2012.6263521.
Full textWang, Shengyou, Zhihua Xiong, Shuling Wang, Ying Hu, Xiong Yang, and Peiwen Chen. "Analyzing and Modeling Post-Earthquake Emergency Traffic Demand." In 13th Asia Pacific Transportation Development Conference. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482902.020.
Full textTsai, C. S., Tsu-Cheng Chiang, Bo-Jen Chen, Wen-Shin Chen, and Shih-Hsien Yu. "Component Test and Mathematical Modeling of Advanced Unbounded Brace." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2958.
Full textArmstrong, R. J., R. W. Boulanger, U. Gulerce, B. L. Kutter, and D. W. Wilson. "Centrifuge Modeling of Pile Pinning Effects." In Geotechnical Earthquake Engineering and Soil Dynamics Congress IV. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40975(318)158.
Full textBrahimi, Malek, and Sidi Berri. "The Use of ARMA Models in Earthquake Response Spectra." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89023.
Full textReports on the topic "Earthquake modeling"
Hutchings, L. Modeling earthquake ground motion with an earthquake simulation program (EMPSYN) that utilizes empirical Green's functions. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/5616334.
Full textLarochelle, S., Y. Liu, and H. Kao. Poroelastic modeling of hydraulic fracturing induced earthquake stress field. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/297811.
Full textPitarka, A. Dynamic Rupture Modeling of the M7.1, 2019 Ridgecrest, California, Earthquake. Office of Scientific and Technical Information (OSTI), February 2021. http://dx.doi.org/10.2172/1770521.
Full textProwell, I., A. Elgamal, H. Romanowitz, J. E. Duggan, and J. Jonkman. Earthquake Response Modeling for a Parked and Operating Megawatt-Scale Wind Turbine. Office of Scientific and Technical Information (OSTI), October 2010. http://dx.doi.org/10.2172/992345.
Full textOkubo, Kurama, Esteban Rougier, and Harsha Bhat Suresh. Source time functions inferred from dynamic earthquake rupture modeling on Jordan – Kekerengu – Papatea fault system, the 2016 Mw 7.8 Kaikoura earthquake. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1499301.
Full textRodgers, A. Earthquake focal parameters and lithospheric structure of the anatolian plateau from complete regional waveform modeling. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/15006169.
Full textPSHENICHNY, Cyril, Alicia GARCIA, Maria SANCHEZ JIMENEZ, Vladimir ANOKHIN, Roberto CARNIEL, Vyacheslav VOITENKO, Ramon ORTIZ, et al. General Approach to Information Modeling of Earthquake Intensity at Oceanic Islands (by the Example of Canary Archipelago). Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0300.
Full textBent, A. L., and P. Voss. Seismicity in the Labrador-Baffin Seaway and surrounding onshore regions. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/321857.
Full textPitarka, A. Dynamic Rupture Modeling of the 1999 Chi-Chi, Taiwan Earthquake Using 3DFinite Element Method. Sensitivity Analysis of Slip Rate Function to ModelParameters of Crustal Weak-Zone. Office of Scientific and Technical Information (OSTI), February 2022. http://dx.doi.org/10.2172/1845214.
Full textGunay, Selim, Fan Hu, Khalid Mosalam, Arpit Nema, Jose Restrepo, Adam Zsarnoczay, and Jack Baker. Blind Prediction of Shaking Table Tests of a New Bridge Bent Design. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/svks9397.
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