To estimate the connectivity of a road network, it is crucial to evaluate the correlation of
hazard intensities among individual bridge locations since the probability of multiple bridges …

Damage identification soon after a large-magnitude earthquake is a major problem for early
disaster response activities. The faster the damaged areas are identified, the higher the …

Abstract Models for ergodic site response are frequently conditioned on time‐averaged
shear‐wave velocity in the upper 30 m of a site (VS 30). However, in the Pacific Northwest …

Polygon-based terrain classification data were created globally using 280 m digital elevation
models (DEMs) interpolated from the multi-error-removed improved-terrain DEM (MERIT …

NGA-Sub data resources are organized into a relational database. We describe the Site
table within that database structure, which contains metadata for 6502 stations that have …

This article proposes a semiempirical model to estimate seismic site effects based on a
predominant-period classification scheme for application in earthquake ground-motion …

Spatial distribution of seismic intensity plays an important role in emergency response
during and immediately after an earthquake. In this study, we propose a deep learning …

Strong ground motion can induce dynamic strains large enough for the Earth's subsurface to
respond nonlinearly and to cause permanent, or plastic, damage. The 2011 M w 9.0 Tohoku …

We construct and examine the prototype of a deep learning‐based ground‐motion model
(GMM) that is both fully data driven and nonergodic. We formulate ground‐motion modeling …

Site amplification maps are mostly proxy-based. Often due to the absence of in-situ data at
the regional or local scale, a high level of confidence cannot be assigned to the site …