Accessing acute care hospitals in the San Francisco Bay Area after a major hayward earthquake. [PDF]
Nat CommunCeferino L +6 more
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Earthquake-Related Anxiety and Earthquake Preparedness Plans of Medicine Students. [PDF]
Psychiatry Clin PsychopharmacolYıldız M, Ergin Hıdıroğlu S.
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Key Contributors to Fatigue in Disaster Responders: Analysis of the 2024 Noto Peninsula Earthquake. [PDF]
Saf Health WorkNagata T +13 more
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Machine learning-based Bayesian optimization of tuned inerter dampers for enhanced seismic response control in high-rise base-isolated structures. [PDF]
Sci RepHuang S, Zhu K.
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Earthquake safety assessment of concrete arch and gravity dams
Earthquake Engineering and Engineering Vibration, 2005Based on research studies currently being carried out at Dalian University of Technology, some important aspects for the earthquake safety assessment of concrete dams are reviewed and discussed. First, the rate-dependent behavior of concrete subjected to earthquake loading is examined, emphasizing the properties of concrete under cyclic and biaxial ...
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Assessment of Soil Liquefaction Safety Factors Under Different Earthquake Magnitudes
2021In the present study, seismic soil liquefaction in terms of factor of safety against liquefaction (FS) is evaluated by the IS Code: (Criteria for earthquake resistant design of structures. Bureau of Indian Standards, New Delhi [5]) (Part-I, 2016) for a site of IIT Patna campus.
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Post-Earthquake Emergency Safety Assessment of Road Retaining Wall
ICTIS 2011, 2011The retaining wall is an important part of the transportation system. Once it gets damaged in an earthquake, it not only creates huge direct economic loss, but also creates difficulties to the rescue work. On 12 May 2008, a magnitude 8.0 earthquake occurred in WenChuan of Sichuan province; destroyed many of the retaining walls existed.
Jinbei Li, Zhiqiang Li, Hongru Zhang
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Probability-Based Seismic Assessment of Buildings, considering Post-Earthquake Safety
Earthquake Spectra, 2008Advanced Seismic Assessment Guidelines, developed by researchers at Stanford University and tested by the authors, offer improvement over previous methods for seismic evaluation of buildings where post-earthquake safety is a concern. This probability-based method allows engineers to quantify expected structural performance in terms that are meaningful
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A machine learning framework for assessing post-earthquake structural safety
Structural Safety, 2018Abstract A machine learning framework is presented to assess post-earthquake structural safety. The concepts of response and damage patterns are introduced and incorporated into a systematic methodology for generating a robust dataset for any damaged building.
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