Littérature scientifique sur le sujet « Seismic intensity measures »
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Articles de revues sur le sujet "Seismic intensity measures"
Grigoriu, 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 intégralLin, L., et Y. L. Gao. « Inelastic Versus Elastic Displacement-Based Intensity Measures for Seismic Analysis ». International Journal of Engineering and Technology 6, no 6 (décembre 2014) : 476–80. http://dx.doi.org/10.7763/ijet.2014.v6.744.
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 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 intégralShinoda, Masahiro, Susumu Nakajima, Kenji Watanabe, Susumu Nakamura, Ikumasa Yoshida et Yoshihisa Miyata. « Practical seismic fragility estimation of Japanese railway embankments using three seismic intensity measures ». Soils and Foundations 62, no 4 (août 2022) : 101160. http://dx.doi.org/10.1016/j.sandf.2022.101160.
Texte intégralDeng, Yong Jun, Yong Yao et Dai Guo Chen. « Seismic Damage Analysis and Reinforcement Measures Research of a Long-Span Structure ». Applied Mechanics and Materials 94-96 (septembre 2011) : 1338–43. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.1338.
Texte intégralThèses sur le sujet "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 intégralAvsar, Ozgur. « Fragility Based Seismic Vulnerability Assessment Of Ordinary Highway Bridges In Turkey ». Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610693/index.pdf.
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 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 intégralChapitres de livres sur le sujet "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 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 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 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 intégralQian, Jing, et You Dong*. « Seismic intensity measure selection under multiple criteria and uncertainty ». Dans Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations, 686–92. CRC Press, 2021. http://dx.doi.org/10.1201/9780429279119-90.
Texte intégralNajafi, L., et M. Tehranizadeh. « Intensity measure parameters for the evaluation of the seismic behaviour of steel moment resisting frames ». Dans Behaviour of Steel Structures in Seismic Areas, 973–78. CRC Press, 2011. http://dx.doi.org/10.1201/b11396-148.
Texte intégral« Intensity measure parameters for the evaluation of the seismic behaviour of steel moment resisting frames ». Dans Behaviour of Steel Structures in Seismic Areas, 993–98. CRC Press, 2012. http://dx.doi.org/10.1201/b11396-150.
Texte intégralMatsuzaki, H., K. Kasahara et M. Suzuki. « Seismic intensity measure in consideration of nonlinear response of reinforced concrete columns ». Dans Life-Cycle of Civil Engineering Systems, 1771–78. CRC Press, 2014. http://dx.doi.org/10.1201/b17618-265.
Texte intégralActes de conférences sur le sujet "Seismic intensity measures"
Radu, 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 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 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 intégralXu, 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 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 intégralJeddi, Ashkan B., Abdollah Shafieezadeh, Jieun Hur, Jeong-Gon Ha, Daegi Hahm et Min Kyu Kim. « Probabilistic Seismic Demand Analysis of Pile-Supported Transmission Towers on Infinite Slopes : Exploring Machine Learning Models for Optimal Intensity Measures ». Dans Geo-Congress 2022. Reston, VA : American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484043.060.
Texte intégralR. Gallipoli, M., D. Albarello, G. Calvano, V. Lapenna et M. Mucciarelli. « Seismic hazard estimates using site intensity data and correlation with In-Situ measures of amplification effectsin the Val D’Agri area (Southern Italy). » Dans 5th EEGS-ES Meeting. European Association of Geoscientists & Engineers, 1999. http://dx.doi.org/10.3997/2214-4609.201406499.
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 intégralAsgarian, Behrouz, Mohammad Amin Assareh et Pejman Alanjari. « Nonlinear Behavior of Single Piles in Jacket Type Offshore Platforms Using Incremental Dynamic Analysis ». Dans ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57148.
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