Hysteresis is a natural phenomenon that widely exists in structural and mechanical systems.
The characteristics of structural hysteretic behaviors are complicated. Therefore, numerous …

With the informatization of the building and infrastructure industry, conventional analysis
methods are gradually proving inadequate in meeting the demands of the new era, such as …

With the rapid growth of deep learning technology, the potential for its use in structural
engineering has substantially increased in recent years. This study proposes an innovative …

This paper presents a framework to predict the entire displacement time histories of all floors
of buildings using a novel double-head neural network composed of causal Convolution …

This paper proposes a real-time prediction method for key monitoring physical parameters
(KMPPs) for early warning of fire-induced building collapse using machine learning. Since …

The nonlinear characteristics of bridge aerodynamics preclude a closed‐form solution of
limit‐cycle oscillation (LCO) amplitude and frequency in the post‐flutter stage. To address …

Accurate prediction of structural response under earthquake is of great significance for
structural damage and performance evaluation. In order to improve the efficiency of structure …

The precast segmental self-centering concrete-filled steel tube (PSCFST) bridge is not only
the ideal choice for fast and environmentally friendly construction but also has good seismic …

The recent advance in deep learning has attracted considerable interest for employing the
state-of-the-art methods to solve engineering problems. However, the applicability of …