Results 171 to 180 of about 5,915,569 (299)

Accounting for Biases in the Analysis of Building Damage Data for the 2023 M7.8 Türkiye/Syria Earthquake Sequence

open access: yesEarthquake Spectra, Volume 42, Issue 4, November 2026.
In the aftermath of a large earthquake, several practical constraints affect the systematic collection of data for assessing building damage. The available data are therefore typically incomplete, frequently missing key information such as the type of construction, age and geographic location.
Max Anderson Loake, Kishor S. Jaiswal
wiley   +1 more source

Rehabilitation Assessment on Seismically Damaged Irregular Bridge

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2020
openaire   +1 more source

Collocated Geotechnical and Geophysical Test Dataset at Three Sites in Napier, New Zealand

open access: yesEarthquake Spectra, Volume 42, Issue 4, November 2026.
Reliable assessment of liquefaction hazard, particularly in the context of groundwater fluctuations associated with hydroclimatic changes and variability between liquefaction assessment methods, necessitates supplementary data and advanced site characterization methods.
Aavash Ghimire   +4 more
wiley   +1 more source

Lung‐Cardiovascular Interactions and Derangements in ARDS

open access: yesComprehensive Physiology, Volume 16, Issue 5, October 2026.
This review proposes an anatomical near‐ and far‐field framework for lung‐cardiovascular interactions in ARDS. Grounded in pathological and biological studies, the evidence spans pulmonary vascular, right ventricular, and systemic endothelial derangements and reviews available evidence for targeted therapies.
Pablo A. Sanchez   +4 more
wiley   +1 more source

Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 12, Page 3012-3028, 10 October 2026.
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim   +3 more
wiley   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 12, Page 3115-3136, 10 October 2026.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen   +1 more
wiley   +1 more source

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