Littérature scientifique sur le sujet « Modied seismic intensity measures »
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Articles de revues sur le sujet "Modied seismic intensity measures"
Sarker, Sajib, Dookie Kim, Md Samdani Azad, Chana Sinsabvarodom et Seongoh Guk. « Influence of Optimal Intensity Measures Selection in Engineering Demand Parameter of Fixed Jacket Offshore Platform ». Applied Sciences 11, no 22 (14 novembre 2021) : 10745. http://dx.doi.org/10.3390/app112210745.
Texte intégralKim, Jin-Seon, Ju-Seong Jung, Dong-Keun Jung, Eui-Yong Kim et Kang-Seok Lee. « Seismic Strengthening Effects of Full-Size Reinforced Concrete Frame Retrofitted with Novel Concrete-Filled Tube Modular Frame by Pseudo-Dynamic Testing ». Applied Sciences 11, no 11 (26 mai 2021) : 4898. http://dx.doi.org/10.3390/app11114898.
Texte intégralMaharjan, Sony, et Shobha Shrestha. « An Assessment of Earthquake Risk in Thecho of Kathmandu Valley Nepal : Scenario and Reality ». Geographical Journal of Nepal 11 (3 avril 2018) : 127–36. http://dx.doi.org/10.3126/gjn.v11i0.19553.
Texte intégralLin, Lan, Nove Naumoski, Murat Saatcioglu et Simon Foo. « Improved intensity measures for probabilistic seismic demand analysis. Part 2 : application of the improved intensity measures ». Canadian Journal of Civil Engineering 38, no 1 (janvier 2011) : 89–99. http://dx.doi.org/10.1139/l10-111.
Texte intégralLin, Lan, Nove Naumoski, Murat Saatcioglu et Simon Foo. « Improved intensity measures for probabilistic seismic demand analysis. Part 1 : development of improved intensity measures ». Canadian Journal of Civil Engineering 38, no 1 (janvier 2011) : 79–88. http://dx.doi.org/10.1139/l10-110.
Texte intégralGrigoriu, M. « Do seismic intensity measures (IMs) measure up ? » Probabilistic Engineering Mechanics 46 (octobre 2016) : 80–93. http://dx.doi.org/10.1016/j.probengmech.2016.09.002.
Texte intégralO’Reilly, Gerard J. « Seismic intensity measures for risk assessment of bridges ». Bulletin of Earthquake Engineering 19, no 9 (5 mai 2021) : 3671–99. http://dx.doi.org/10.1007/s10518-021-01114-z.
Texte intégralBantilas, Kosmas E., Ioannis E. Kavvadias, Magdalini Tyrtaiou et Anaxagoras Elenas. « Hilbert–Huang-Transform-Based Seismic Intensity Measures for Rocking Response Assessment ». Applied Sciences 13, no 3 (27 janvier 2023) : 1634. http://dx.doi.org/10.3390/app13031634.
Texte intégralBradley, Brendon A., Misko Cubrinovski, Rajesh P. Dhakal et Gregory A. MacRae. « Intensity measures for the seismic response of pile foundations ». Soil Dynamics and Earthquake Engineering 29, no 6 (juin 2009) : 1046–58. http://dx.doi.org/10.1016/j.soildyn.2008.12.002.
Texte intégralBakalis, Konstantinos, Mohsen Kohrangi et Dimitrios Vamvatsikos. « Seismic intensity measures for above-ground liquid storage tanks ». Earthquake Engineering & ; Structural Dynamics 47, no 9 (26 avril 2018) : 1844–63. http://dx.doi.org/10.1002/eqe.3043.
Texte intégralThèses sur le sujet "Modied seismic intensity measures"
De, Biasio Marco. « Ground motion intensity measures for seismic probabilistic risk analysis ». Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENI051/document.
Texte intégralA fundamental issue that arises in the framework of Probabilistic Seismic Risk Analysis is the choice of groundmotion Intensity Measures (IMs). In addition to reducing record-to-record variability, an improved IM (i.e. one able tobetter capture the damaging features of a record, as well as the site hazard) provides criteria for selecting input groundmotions to loosen restrictions.Two new structure-specific IMs are proposed in this study: the first, namely ASAR (i.e. Relative Average SpectralAcceleration), is conceived for Structural demand prediction, the second namely, E-ASAR (i.e. Equipment-RelativeAverage Spectral Acceleration), aims to predict Non-Structural components acceleration demand. The performance ofthe proposed IMs are compared with the ones of current IMs, based on: a) a large dataset of thousands recordedearthquake ground motions; b) numerical analyses conducted with state-of-the-art FE models, representing actualload-bearing walls and frame structures, and validated against experimental tests; and c) systematic statistical analysesof the results. According to the comparative study, the introduced IMs prove to be considerably more “efficient” withrespect to the IMs currently used. Likewise, both ASAR and E-ASAR have shown to own the characteristic of“sufficiency” with respect to magnitude, source-to-site distance and soil-type (Vs30). Furthermore, both the introducedIMs possess the valuable characteristics to need (in order to be computed) merely the knowledge of the building’sfundamental frequency, exactly as it is for the wide-spread spectral acceleration Spa(f1). This key characteristic makesboth ASAR and E-ASAR easily exploitable in Probabilistic Seismic Hazard Analysis.Therefore, due to their proven efficiency, sufficiency, robustness and applicable formulation, both ASAR and EASARcan be considered as worthy candidates for defining seismic hazard within the frameworks of both Probabilisticand Deterministic Seismic Risk Analysis
Tothong, Polsak. « Probabilistic seismic demand analysis using advanced ground motion intensity measures, attenuation relationships, and near-fault effects / ». May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Texte intégralDehghanpoor, Sichani Ahmad. « Soil-pile-superstructure systems under combined horizontal and vertical strong ground motions ». Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/207885/1/Ahmad_Dehghanpoor%20Sichani_Thesis.pdf.
Texte intégralCiano, Matteo. « On the accuracy of seismic fragilities for actual linear/nonlinear structural systems : the modified intensity measure method ». Doctoral thesis, 2021. http://hdl.handle.net/2158/1269611.
Texte intégralCHENG, YIN. « Intensity Measures for Seismic Response Prediction and associated Ground Motion Selection and Modification ». Doctoral thesis, 2013. http://hdl.handle.net/11573/917092.
Texte intégralChapitres de livres sur le sujet "Modied seismic intensity measures"
Sandi, Horea. « Ground Motion Intensity Versus Ground Motion Kinematics. Exploring Various Intensity Measures ». Dans Seismic Hazard and Risk Assessment, 173–89. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74724-8_12.
Texte intégralPhan, Van-Tien, et Duy-Duan Nguyen. « Correlation Between Seismic Intensity Measures and Response of Skewed Bridges ». Dans Lecture Notes in Civil Engineering, 25–36. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4617-1_3.
Texte intégralCiampoli, Marcello, et Paolo Giovenale. « Optimal Intensity Measures for the Characterization of the Ground Motion in Performance-Based Seismic Design ». Dans Probabilistic Safety Assessment and Management, 2932–37. London : Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_469.
Texte intégralLowrie, William. « 4. Seismicity—the restless Earth ». Dans Geophysics : A Very Short Introduction, 47–68. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780198792956.003.0004.
Texte intégralGrigoriu, M. « A new perspective on seismic Intensity Measures (IMs) ». Dans Advances in Engineering Materials, Structures and Systems : Innovations, Mechanics and Applications, 153–56. CRC Press, 2019. http://dx.doi.org/10.1201/9780429426506-25.
Texte intégralKouris, Leonidas Alexandros S., et Andreas J. Kappos. « Numerical Investigation and Empirical Seismic Vulnerability Assessment of Timber-Framed Masonry Buildings ». Dans Handbook of Research on Seismic Assessment and Rehabilitation of Historic Structures, 60–84. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8286-3.ch003.
Texte intégralActes de conférences sur le sujet "Modied seismic intensity measures"
Xu, Yongjia, Xinzheng Lu, Yuan Tian et Yuli Huang. « Real-time seismic damage prediction and comparison of various ground motion intensity measures based on machine learning ». Dans IABSE Congress, Christchurch 2021 : Resilient technologies for sustainable infrastructure. Zurich, Switzerland : International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/christchurch.2021.1158.
Texte intégralQuinci, Gianluca, Nam Hoang Phan et Fabrizio Paolacci. « On the Use of Artificial Neural Network Technique for Seismic Fragility Analysis of a Three-Dimensional Industrial Frame ». Dans ASME 2022 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/pvp2022-83874.
Texte intégralRadu, Alin, et Mircea Grigoriu. « UNCERTAINTY IN SEISMIC INTENSITY MEASURES USED FOR FRAGILITY ANALYSIS ». Dans 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens : Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2017. http://dx.doi.org/10.7712/120117.5534.18210.
Texte intégralYuan, Shuwu, Wei Zhou, Ting Li, Hui Wang, Xuehong Peng, Long Xiao, Xudong Luo et al. « The Accurate Pore Pressure Prediction with Coupled Geomechanical and Thermodynamics Model ». Dans International Petroleum Technology Conference. IPTC, 2023. http://dx.doi.org/10.2523/iptc-22807-ea.
Texte intégralShintani, Masanori, Kentaro Nara et Yuji Ogawa. « Study on Damage of Joint for Overhead Traveling Crane of Nuclear Power Plant Under Earthquake ». Dans ASME 2009 Pressure Vessels and Piping Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/pvp2009-77660.
Texte intégralGOKCE, Tansu, Boris SAHIN, Engin ORAKDOGEN et Ercan YUKSEL. « SEISMIC RESPONSE PREDICTION AND GROUND MOTION SELECTION BY USING INTENSITY MEASURES FOR BASE ISOLATED BUILDINGS ». Dans The 16th World Conference on Seismic Isolation, Energy Dissipation and Active Vibration Control of Structures. Russian Association for Earthquake Engineering and Protection from Natural and Manmade Hazards, 2019. http://dx.doi.org/10.37153/2686-7974-2019-16-289-289.
Texte intégralPhan, Hoang Nam, et Fabrizio Paolacci. « Efficient Intensity Measures for Probabilistic Seismic Response Analysis of Anchored Above-Ground Liquid Steel Storage Tanks ». Dans ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-63103.
Texte intégralWang, Zhenghua, Leonardo Dueñas-Osorio et Jamie E. Padgett. « Optimal Intensity Measures for Probabilistic Seismic Response Analysis of Bridges on Liquefiable and Non-Liquefiable Soils ». Dans Structures Congress 2012. Reston, VA : American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412367.047.
Texte intégralGabbianelli, Giammaria, Daniele Perrone, Emanuele Brunesi et Ricardo Monteiro. « Seismic Fragility Assessment of Steel Industrial Storage Tanks ». Dans ASME 2022 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/pvp2022-84961.
Texte intégralHahm, Daegi, Min-Kyu Kim, In-Kil Choi, Bub Gyu Jeon, Hyoung Suk Choi et Nam Sik Kim. « Seismic Fragility Evaluation of Interface Pipes in Seismically Isolated NPPs by Using Scale Model Test ». Dans ASME 2015 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/pvp2015-45042.
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