Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

The deterioration of a bridge's deck endangers its safety and serviceability. Ohio has
approximately 45,000 bridges that need to be monitored to ensure their structural integrity …

Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous
attention among hydraulic engineers, mainly owing to their established performance with …

Predicting the nonlinear time-history responses of civil engineering structures under seismic
loading remains an essential task in earthquake engineering. This paper explores the …

The embodied carbon emissions of buildings are increasingly important to mitigate. Most of
these emissions come from structural systems. While many strategies have been identified …

Probabilistic seismic demand analysis (PSDA) is the most time-and effort-intensive step in
risk-based assessment of the built environment. A typical PSDA requires subjecting the …

Determining the risk priorities for the building stock in highly seismic-prone regions and
making the final decisions about the buildings is one of the essential precautionary …

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 …

This study aims to propose a novel framework for strength prediction and multi-objective
optimization (MOO) of economical and environmentally sustainable ultra-high-performance …

A nonmodel and output-only-based framework incorporating an Auto-Regressive model and
roof absolute acceleration response are hired in this study to compute a robust wavelet …