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1دورية أكاديمية
المؤلفون: Yanqiong Ding, Minggang Nie, Yazhou Xu, Huiquan Miao
المصدر: Buildings, Vol 14, Iss 6, p 1831 (2024)
مصطلحات موضوعية: earthquake ground motion records, classification, cluster analysis, spectral characteristics, Building construction, TH1-9745
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Morgan P Moschetti, Brad T Aagaard, Sean K Ahdi, Jason Altekruse, Oliver S Boyd, Arthur D Frankel, Julie Herrick, Mark D Petersen, Peter M Powers, Sanaz Rezaeian, Allison M Shumway, James A Smith, William J Stephenson, Eric M Thompson, Kyle B Withers
مصطلحات موضوعية: Engineering not elsewhere classified, Conterminous United States, earthquake ground motion, PSHA, seismic hazard
الإتاحة: https://doi.org/10.25384/sage.25325259.v1Test
https://figshare.com/articles/journal_contribution/sj-docx-1-eqs-10_1177_87552930231223995_Supplemental_material_for_The_2023_US_National_Seismic_Hazard_Model_Ground-motion_characterization_for_the_conterminous_United_States/25325259Test -
3دورية أكاديمية
المؤلفون: Paweł Boroń, Izabela Drygała, Joanna Maria Dulińska, Szymon Burdak
المصدر: Materials, Vol 17, Iss 2, p 512 (2024)
مصطلحات موضوعية: reinforced concrete bridges, bridge dynamics, beam bridge, rigid-frame bridge, spatially varying earthquake ground motion, mining-induced seismicity, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85
العلاقة: https://www.mdpi.com/1996-1944/17/2/512Test; https://doaj.org/toc/1996-1944Test; https://doaj.org/article/c95e63e5f93141a986abe94383f3aa3aTest
الإتاحة: https://doi.org/10.3390/ma17020512Test
https://doaj.org/article/c95e63e5f93141a986abe94383f3aa3aTest -
4دورية أكاديمية
المؤلفون: Daiki SATO, Makoto KANDA, Narumi OUGIYA, Sadamitsu TAKEUCHI, Takahiro MORI, Tetsushi INUBUSHI, 佐藤 大樹, 扇谷 匠己, 森 隆浩, 犬伏 徹志, 神田 亮, 竹内 貞光
المصدر: 日本建築学会構造系論文集 / Journal of Structural and Construction Engineering (Transactions of AIJ). 2023, 88(809):1124
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5دورية أكاديمية
المؤلفون: Frontiers Production Office
المصدر: Frontiers in Earth Science, Vol 11 (2023)
مصطلحات موضوعية: seismic site effects, seismic hazard, urban areas, microzonation, ambient vibration, earthquake ground motion, Science
وصف الملف: electronic resource
العلاقة: https://www.frontiersin.org/articles/10.3389/feart.2023.1186168/fullTest; https://doaj.org/toc/2296-6463Test
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6دورية أكاديمية
المؤلفون: Zimmaro, P, Stewart, JP, Scasserra, G, Kishida, T, Tropeano, G
مصطلحات موضوعية: earthquake ground motion, directivity, reconnaissance
وصف الملف: application/pdf
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7دورية أكاديمية
المؤلفون: Chen, Yu, Patelli, Edoardo, Edwards, Benjamin, Beer, Michael
المصدر: Earthquake Engineering and Structural Dynamics 52 (2023), Nr. 7 ; Earthquake Engineering and Structural Dynamics
مصطلحات موضوعية: Bayesian model updating, earthquake ground motion, evolutionary power spectra, missing data, stochastic variational inference, uncertainty quantification, ddc:550
العلاقة: ESSN:1096-9845; http://dx.doi.org/10.15488/15047Test; https://www.repo.uni-hannover.de/handle/123456789/15166Test
الإتاحة: https://doi.org/10.15488/15047Test
https://doi.org/10.1002/eqe.3877Test
https://www.repo.uni-hannover.de/handle/123456789/15166Test -
8دورية أكاديمية
المساهمون: Department of Civil and Environmental Engineering
مصطلحات موضوعية: Multi-DOF structures, Earthquake ground motion, Time-domain system identification, Manifold-constrained Gaussian processes, Vibration-based structural health monitoring
العلاقة: http://hdl.handle.net/10397/99636Test; 2-s2.0-85134406913; 932765; OA_Scopus/WOS
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9دورية أكاديمية
المؤلفون: Wenxin Wang, Jing Liu-Zeng, Yanxiu Shao, Zijun Wang, Longfei Han, Xuwen Shen, Kexin Qin, Yunpeng Gao, Wenqian Yao, Guiming Hu, Xianyang Zeng, Xiaoli Liu, Wei Wang, Fengzhen Cui, Zhijun Liu, Jinyang Li, Hongwei Tu
المصدر: Remote Sensing; Volume 15; Issue 4; Pages: 1032
مصطلحات موضوعية: soil liquefaction, Maduo (Madoi) earthquake, earthquake ground motion, sedimentary environment, UAV photogrammetry technology
جغرافية الموضوع: agris
وصف الملف: application/pdf
العلاقة: Remote Sensing in Geology, Geomorphology and Hydrology; https://dx.doi.org/10.3390/rs15041032Test
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10دورية أكاديمية
المؤلفون: Bloemheuvel, Stefan, van den Hoogen, Jurgen, Jozinović, Dario, Michelini, Alberto, Atzmueller, Martin
المساهمون: Tilburg University, Tilburg, The Netherlands. Jheronimus Academy of Data Science, ’s-Hertogenbosch, The Netherlands, Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia, Semantic Information Systems Group, Osnabrück University, Osnabrück, Germany. German Research Center for Artificial Intelligence (DFKI), Osnabrück, Germany
مصطلحات موضوعية: Graph neural networks, Time series, Sensors, Convolutional neural networks, Regression, Earthquake ground motion, Seismic network, 04.06. Seismology
العلاقة: International Journal of Data Science and Analytics; /16 (2023); 1. Tilak, S., Abu-Ghazaleh, N.B., Heinzelman, W.: A taxonomy of wireless micro-sensor network models. ACM SIGMOBILE Mob. Comput. Commun. Rev. 6(2), 28–36 (2002) 2. Tubaishat, M., Madria, S.: Sensor networks: an overview. IEEE Potentials 22(2), 20–23 (2003) 3. Aslam, J., Lim, S., Pan, X., Rus, D.: City-scale traffic estimation from a roving sensor network. In: Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, pp. 141–154 (2012) 4. Hatchett, B.J., Cao, Q., Dawson, P.B., Ellis, C.J., Hecht, C.W., Kawzenuk, B., Lancaster, J., Osborne, T., Wilson, A.M., Anderson, M., et al.: Observations of an extreme atmospheric river storm with a diverse sensor network. Earth Space Sci. 7(8), 2020–001129 (2020) 5. van den Ende, M.P., Ampuero, J.-P.: Automated seismic source characterization using deep graph neural networks. Geophys. Res. Lett. 47(17), 2020–088690 (2020) 6. 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Strollo, A., Cambaz, D., Clinton, J., Danecek, P., Evangelidis, C.P., Marmureanu, A., et al.: EIDA: the European integrated data archive and service infrastructure within ORFEUS. Seismol. Res. Lett. 92(3), 1788–1795 (2021) 32. Ochoa, L.H., Niño, L.F., Vargas, C.A.: Fast magnitude determination using a single seismological station record implementing machine learning techniques. Geod. Geodyn. 9(1), 34–41 (2018) 33. Mousavi, S.M., Ellsworth, W.L., Zhu, W., Chuang, L.Y., Beroza, G.C.: Earthquake transformer-an attentive deep-learning model for simultaneous earthquake detection and phase picking. Nat. Commun. 11(1), 1–12 (2020) 34. Lomax, A., Michelini, A., Jozinovi ́ c, D.: An investigation of rapid earthquake characterization using single-station waveforms and a convolutional neural network. Seismol. Res. Lett. 90(2A), 517–529 (2019) 35. Ross, Z.E., Meier, M.-A., Hauksson, E.: P wave arrival picking and first-motion polarity determination with deep learning. J. Geophys. Res. 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