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 …

It is often computationally expensive to monitor structural health using computer models.
This time-consuming process can be relieved using surrogate models, which provide cheap …

Wind fragility is essential to performance-based wind engineering, risk, and resilience
assessment for transmission towers. However, it has not been sufficiently studied due to the …

This paper presents a framework for evaluating the wind-induced resistance of overhead
transmission lines (OTLs), aiming to overcome the limitations associated with disregarding …

Time-history responses of the bridge induced by the moving vehicle provide crucial
information for bridge design, operation, maintenance, etc. As inspired by this, this work …

Slender and flexible infrastructures such as sign supports, cantilever traffic signal structures
and high mast lighting towers are sensitive to wind force and were reported to have fatigue …

Although the problems of wind pressure prediction on roofs have been studied extensively,
the prediction accuracy is still unsatisfactory owing to the limited capacity of shallow learning …

A new model of wind pressure prediction for low-rise buildings is built based on deep
convolutional neural network (CNN), and the model is trained and tested by the …

In the product design stage, the effective performance analysis method is the premise to
guarantee the application performance of products. However, digital simulation, as a widely …

In this study, we use highly developed machine learning techniques to accurately estimate
the Compressive Strength (CS) of blended concrete, considering its composition, including …