Results 191 to 200 of about 168,552 (354)

Enhancing event stratigraphic correlations in the ultra‐deep Japan Trench using XRF‐CS cluster‐based chemostratigraphy

open access: yesThe Depositional Record, Volume 12, Issue 1, February 2026.
Cluster‐based chemostratigraphy using XRF‐CS enables high‐resolution correlation of event deposits across contrasting depositional settings in the Japan Trench. This approach reveals previously unrecognised events and compositional heterogeneity, offering new insights into sediment provenance and earthquake‐triggered deposition, with implications for ...
Jyh‐Jaan Steven Huang   +4 more
wiley   +1 more source

Unified Hysteresis Modeling via Physics‐Based Deep Learning and Data Augmentation

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 379-396, February 2026.
ABSTRACT Deep learning‐based models have recently emerged as alternatives to traditional form‐constrained hysteresis models, including Bouc‐Wen class models, offering significant potential for unified hysteresis modeling to capture complex nonlinearities and diverse response patterns exhibited under stochastic excitations such as ground motions.
Jaehwan Jeon, Oh‐Sung Kwon, Junho Song
wiley   +1 more source

Seismic resilience of urban networks: dataset for infrastructure visualization and vulnerability assessment. [PDF]

open access: yesSci Data
Civera M   +6 more
europepmc   +1 more source

High‐Resolution Regional Seismic Loss Assessment of Reinforced Concrete Bridges Using Component‐Level Fragility Models and Repair Cost Estimations

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 301-318, February 2026.
ABSTRACT This study develops a high‐resolution regional seismic loss assessment framework for reinforced concrete (RC) bridges, focusing on direct losses due to bridge repair and replacement. Indirect losses tied to traffic downtime, business disruption, delayed recovery, etc., can also be attributed to bridge damage but are considered outside the ...
Shanshan Chen   +4 more
wiley   +1 more source

Near-Real-Time Integration of Multi-Source Seismic Data. [PDF]

open access: yesSensors (Basel)
Melgarejo-Hernández J   +3 more
europepmc   +1 more source

Seismic Structural Response and Loss Estimation for Dense Urban Districts Using Neural Network Parameterized Gaussian Process

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 397-412, February 2026.
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi   +2 more
wiley   +1 more source

Data-driven assessment of Apulian road network resilience: Bridge unavailability and inner municipality isolation impact. [PDF]

open access: yesPLoS One
Kheirkhahan N   +12 more
europepmc   +1 more source

Risk‐Targeted Seismic Design Maps for Mexico

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 336-349, February 2026.
ABSTRACT Risk‐targeted seismic design maps for Mexico are presented. Risk‐targeted approach establishes an acceptable risk level, measured with the annual collapse probability, to determine seismic design coefficients. Seismic design maps are calculated for an annual probability of collapse of 1 × 10−4 and 2 × 10−4.
Raúl Sandoval, Mario Ordaz
wiley   +1 more source

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