Academic literature on the topic 'Modied seismic intensity measures'
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Journal articles on the topic "Modied seismic intensity measures"
Sarker, Sajib, Dookie Kim, Md Samdani Azad, Chana Sinsabvarodom, and Seongoh Guk. "Influence of Optimal Intensity Measures Selection in Engineering Demand Parameter of Fixed Jacket Offshore Platform." Applied Sciences 11, no. 22 (November 14, 2021): 10745. http://dx.doi.org/10.3390/app112210745.
Full textKim, Jin-Seon, Ju-Seong Jung, Dong-Keun Jung, Eui-Yong Kim, and 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 (May 26, 2021): 4898. http://dx.doi.org/10.3390/app11114898.
Full textMaharjan, Sony, and Shobha Shrestha. "An Assessment of Earthquake Risk in Thecho of Kathmandu Valley Nepal: Scenario and Reality." Geographical Journal of Nepal 11 (April 3, 2018): 127–36. http://dx.doi.org/10.3126/gjn.v11i0.19553.
Full textLin, Lan, Nove Naumoski, Murat Saatcioglu, and 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 (January 2011): 89–99. http://dx.doi.org/10.1139/l10-111.
Full textLin, Lan, Nove Naumoski, Murat Saatcioglu, and 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 (January 2011): 79–88. http://dx.doi.org/10.1139/l10-110.
Full textGrigoriu, M. "Do seismic intensity measures (IMs) measure up?" Probabilistic Engineering Mechanics 46 (October 2016): 80–93. http://dx.doi.org/10.1016/j.probengmech.2016.09.002.
Full textO’Reilly, Gerard J. "Seismic intensity measures for risk assessment of bridges." Bulletin of Earthquake Engineering 19, no. 9 (May 5, 2021): 3671–99. http://dx.doi.org/10.1007/s10518-021-01114-z.
Full textBantilas, Kosmas E., Ioannis E. Kavvadias, Magdalini Tyrtaiou, and Anaxagoras Elenas. "Hilbert–Huang-Transform-Based Seismic Intensity Measures for Rocking Response Assessment." Applied Sciences 13, no. 3 (January 27, 2023): 1634. http://dx.doi.org/10.3390/app13031634.
Full textBradley, Brendon A., Misko Cubrinovski, Rajesh P. Dhakal, and Gregory A. MacRae. "Intensity measures for the seismic response of pile foundations." Soil Dynamics and Earthquake Engineering 29, no. 6 (June 2009): 1046–58. http://dx.doi.org/10.1016/j.soildyn.2008.12.002.
Full textBakalis, Konstantinos, Mohsen Kohrangi, and Dimitrios Vamvatsikos. "Seismic intensity measures for above-ground liquid storage tanks." Earthquake Engineering & Structural Dynamics 47, no. 9 (April 26, 2018): 1844–63. http://dx.doi.org/10.1002/eqe.3043.
Full textDissertations / Theses on the topic "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.
Full textA 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.
Full textDehghanpoor, 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.
Full textCiano, 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.
Full textCHENG, YIN. "Intensity Measures for Seismic Response Prediction and associated Ground Motion Selection and Modification." Doctoral thesis, 2013. http://hdl.handle.net/11573/917092.
Full textBook chapters on the topic "Modied seismic intensity measures"
Sandi, Horea. "Ground Motion Intensity Versus Ground Motion Kinematics. Exploring Various Intensity Measures." In Seismic Hazard and Risk Assessment, 173–89. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74724-8_12.
Full textPhan, Van-Tien, and Duy-Duan Nguyen. "Correlation Between Seismic Intensity Measures and Response of Skewed Bridges." In Lecture Notes in Civil Engineering, 25–36. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4617-1_3.
Full textCiampoli, Marcello, and Paolo Giovenale. "Optimal Intensity Measures for the Characterization of the Ground Motion in Performance-Based Seismic Design." In Probabilistic Safety Assessment and Management, 2932–37. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_469.
Full textLowrie, William. "4. Seismicity—the restless Earth." In Geophysics: A Very Short Introduction, 47–68. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780198792956.003.0004.
Full textGrigoriu, M. "A new perspective on seismic Intensity Measures (IMs)." In Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications, 153–56. CRC Press, 2019. http://dx.doi.org/10.1201/9780429426506-25.
Full textKouris, Leonidas Alexandros S., and Andreas J. Kappos. "Numerical Investigation and Empirical Seismic Vulnerability Assessment of Timber-Framed Masonry Buildings." In 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.
Full textConference papers on the topic "Modied seismic intensity measures"
Xu, Yongjia, Xinzheng Lu, Yuan Tian, and Yuli Huang. "Real-time seismic damage prediction and comparison of various ground motion intensity measures based on machine learning." In 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.
Full textQuinci, Gianluca, Nam Hoang Phan, and Fabrizio Paolacci. "On the Use of Artificial Neural Network Technique for Seismic Fragility Analysis of a Three-Dimensional Industrial Frame." In ASME 2022 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/pvp2022-83874.
Full textRadu, Alin, and Mircea Grigoriu. "UNCERTAINTY IN SEISMIC INTENSITY MEASURES USED FOR FRAGILITY ANALYSIS." In 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.
Full textYuan, 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." In International Petroleum Technology Conference. IPTC, 2023. http://dx.doi.org/10.2523/iptc-22807-ea.
Full textShintani, Masanori, Kentaro Nara, and Yuji Ogawa. "Study on Damage of Joint for Overhead Traveling Crane of Nuclear Power Plant Under Earthquake." In ASME 2009 Pressure Vessels and Piping Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/pvp2009-77660.
Full textGOKCE, Tansu, Boris SAHIN, Engin ORAKDOGEN, and Ercan YUKSEL. "SEISMIC RESPONSE PREDICTION AND GROUND MOTION SELECTION BY USING INTENSITY MEASURES FOR BASE ISOLATED BUILDINGS." In 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.
Full textPhan, Hoang Nam, and Fabrizio Paolacci. "Efficient Intensity Measures for Probabilistic Seismic Response Analysis of Anchored Above-Ground Liquid Steel Storage Tanks." In ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-63103.
Full textWang, Zhenghua, Leonardo Dueñas-Osorio, and Jamie E. Padgett. "Optimal Intensity Measures for Probabilistic Seismic Response Analysis of Bridges on Liquefiable and Non-Liquefiable Soils." In Structures Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412367.047.
Full textGabbianelli, Giammaria, Daniele Perrone, Emanuele Brunesi, and Ricardo Monteiro. "Seismic Fragility Assessment of Steel Industrial Storage Tanks." In ASME 2022 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/pvp2022-84961.
Full textHahm, Daegi, Min-Kyu Kim, In-Kil Choi, Bub Gyu Jeon, Hyoung Suk Choi, and Nam Sik Kim. "Seismic Fragility Evaluation of Interface Pipes in Seismically Isolated NPPs by Using Scale Model Test." In 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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