How earthquakes organize stress. [PDF]
Proc Natl Acad Sci U S ABrodsky EE, Farge G.
europepmc +1 more source
Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman +3 more
wiley +1 more source
The experiences of nurses working in an earthquake region and the effect of these experiences on their professional approaches: a qualitative study. [PDF]
BMC NursKılıç A, Çeçen Çamlı D.
europepmc +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT This study quantifies the influence of alkali‐silica reaction (ASR) on the seismic fragility of prestressed concrete containment structures in nuclear power plants (NPPs). Global collapse was considered as the governing failure mode to maintain consistency with current risk assessment frameworks, and was captured using a finite element model ...
Chanyoung Kim +3 more
wiley +1 more source
Three‐Dimensional Analytical Model of a Free‐Standing Square Rocking Column
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT A three‐dimensional analytical two‐degree‐of‐freedom (2DOF) model is developed to describe the bounded rocking response of free‐standing rigid square columns subjected to bidirectional seismic excitation. The formulation extends Housner's classical planar theory by deriving the full three‐dimensional equations of motion for a column ...
Dimitra Adamopoulou +1 more
wiley +1 more source
Stochastic poromechanical analysis forecasts a notable exceedance probability for the 2017 Pohang, South Korea, <i>M</i> <sub>w</sub> 5.5 earthquake. [PDF]
Commun Earth EnvironWu H +6 more
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Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley +1 more source
A novel deep-learning model to convert DAS strain to geophone particle velocity: application to PoroTomo data from the Brady geothermal field. [PDF]
Sci RepAl-Qadasi B, Cui Y, Waheed UB, Wang HF.
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Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini +2 more
wiley +1 more source
Development and psychometric evaluation of an earthquake risk perception tool in Iran: an application of the extended parallel process model. [PDF]
BMC PsycholJahangiry L +4 more
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