Machine learning (ML) has evolved rapidly over recent years with the promise to
substantially alter and enhance the role of data science in a variety of disciplines. Compared …

Rocking isolation has been increasingly studied as a promising design concept to limit the
earthquake damage of civil structures. Despite the difficulties and uncertainties of predicting …

In the past two decades, passive control strategies using isolation and fluid dampers have
been employed for the seismic protection of bridge highway structures. The isolation …

Restrainer-type sliding bearing (RTSB) is a practical seismic isolation system for reducing
the excessive displacement of flat sliding bearings under strong earthquakes to ensure the …

The lack of computationally efficient, probabilistic performance-based design strategies for
cable-stayed bridges hinders their optimal design in seismic regions. Thus, this paper …

The seismic vulnerability of cable-stayed bridges located in seismically active regions can
be of great concern to the regional safety and resilience. A promising design practice for …

This study develops an end‐to‐end deep learning framework to learn and analyze ground
motions (GMs) through their latent features, and achieve reliable GM classification …

This study investigates the sensitivity of seismic demands and fragility estimates of a typical
highway bridge in California to variation in its soil-structure interaction (SSI) modeling …

The use of fluid viscous dampers (FVDs) together with isolators, frequent in near-fault
buildings, is effective in reducing displacements of the isolation layer. Such a hybrid system …

Precast segmental ultra-high performance concrete (UHPC) columns with post-tensioned
(PT) tendons can effectively protect the compression toe from damage and enhance energy …