Results 181 to 190 of about 176,782 (304)

An Efficient Quasi‐Static Condensation‐Based Framework for Seismic Analysis of Multi‐Supported Secondary Structures

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multi‐supported non‐structural components (NSCs) are prone to seismic damage, yet their response prediction remains challenging when support motions are spatially incoherent. This study proposes an enhanced quasi‐static condensation (EQSC) method for linear, lightweight, dynamically detuned multi‐supported NSCs under the neglect of primary ...
Duozhi Wang   +5 more
wiley   +1 more source

Seismic Meta‐Fragility Functions

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Fragility functions make for one of the three key components of probabilistic seismic risk analysis, along with hazard and consequence and/or exposure models. They are, in principle, construction‐specific; however, risk analysis is more often performed on a larger (e.g., regional) scale. In this case, so‐called typological fragility curves are
Iunio Iervolino, Georgios Baltzopoulos
wiley   +1 more source

Study on the Influence of Slope Static Load on Shallow Lining Support Structure

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of the background of the shallow‐buried main adit supported by stone lining, the mechanical model of the supporting structure is constructed, and the stability of the supporting structure is analyzed by using the methods of field investigation, theoretical analysis, and numerical simulation.
Hongwei Wang   +3 more
wiley   +1 more source

Emergency department preparedness and hospital disaster planning: lessons from disasters. [PDF]

open access: yesBMC Emerg Med
Oktay MM   +5 more
europepmc   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

open access: yesEnergy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen   +4 more
wiley   +1 more source

Discussion of Paper by Chin, Cheng, Lepage, and Lequesne

open access: yes
Earthquake Engineering &Structural Dynamics, EarlyView.
Prateek Shah   +3 more
wiley   +1 more source

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