Results 131 to 140 of about 1,227 (252)
Post‐Event Ground Motion Estimation using Graph Neural Networks
Accurate ground motion (GM) estimates are essential for forensic analysis of structural damage following major earthquakes when direct recordings at the location(s) of interest are unavailable. Contemporary post‐event GM estimation methods often leverage nearby observations to constrain estimates of intensity measures (IMs); however, existing ...
Claudio Schill, Brendon A. Bradley
wiley +1 more source
Unveiling the environmental impact of earthquakes in Europe. [PDF]
Caruso M +4 more
europepmc +1 more source
With the recent increases in measured ground motion records for large earthquakes, most notably the 2023 M7.8 Pazarcik earthquake in Türkiye, the potential for pervasive high velocity fault rupture propagation over an extensive fault length has been observed.
David McCallen +3 more
wiley +1 more source
Ground motion inversion method based on generalized chaotic particle swarm optimization. [PDF]
Sun B, Qi L.
europepmc +1 more source
Validation of ShakeMaps Created From Global Navigation Satellite System (GNSS) Velocities
Ground velocity observations generated through a time difference of Global Navigation Satellite Systems (GNSS) phase observables and orbits have been shown to be comparable to seismic recordings without clipping during intense ground motions. Computing GNSS velocities is also computationally scalable and increases the density of ground motion ...
Jensen V. DeGrande, Brendan W. Crowell
wiley +1 more source
Optimized seismic risk mitigation in pipeline routing using a metaheuristic GIS based approach. [PDF]
Alavi SH, Mashayekhi M, Zolfaghari M.
europepmc +1 more source
Development of Liquefaction‐Targeted Design Basis in U.S. Seismic Provisions
Seismic design criteria for new buildings in the United States have historically focused on life safety performance objectives through minimizing the potential for structural collapse. Development of design criteria to meet this performance objective has evolved over time, leading to the current, risk‐targeted maximum considered earthquake (MCER ...
Andrew J. Makdisi +8 more
wiley +1 more source
Hybrid Validation of a Quality-Controlled, Waveform-Centered AI Framework with Optional Multi-Sensor Support for Seismic Monitoring. [PDF]
Abdykadyrov A +5 more
europepmc +1 more source
Probabilistic Seismic Hazard Assessment for Lebanon
Estimation de l'aléa sismique probabiliste au Liban La nécessité d’une Évaluation Probabiliste de l’aléa Sismique (PSHA) en génie civil découle du besoin de concevoir des structures capables de résister à des degrés variables de mouvements sismiques tout en conservant des performances acceptables.
openaire +3 more sources
This study investigates the effect of incorporating the Devil's Mountain Fault (DMF) and its interaction with the Leech River Valley Fault (LRVF) on the elastic surface deformation hazard in and near the city of Victoria, British Columbia, Canada. Previously, the surface deformation hazard of the region has been characterized by considering the LRVF ...
Parva Shoaeifar, Katsuichiro Goda
wiley +1 more source

