Offshore wind turbines are subjected to highly-varying dynamic loadings and accelerated
material degradation, resulting in the need for structural health monitoring, which increases …

Deep learning has achieved state-of-the-art performance on signal and image processing.
Due to the remarkable success, it has been applied in more challenging tasks, such as …

This paper discusses the visibility classification and influencing-factor analysis of an airport,
which were carried out through a data-driven deep learning approach and multiple …

Hybrid fiber reinforced concrete (HFRC) has been proposed to improve the mechanical
properties of concrete, especially the tensile behavior and ductility. To better understand the …

Structural health monitoring (SHM) plays an increasingly vital role in guaranteeing the
operation success of marine and offshore (MO) structures while reducing their risks of …

The open pore characteristics of asphalt mixtures play a crucial role in their resistance to
water-induced damage. Accurate extraction and analysis of the pore structures at a micro …

The use of cold in-place recycling (CIR) asphalt mixtures is a time-saving and
environmentally-friendly technique for repairing aging and damaged asphalt pavements …

In this work, the variation characteristics of different scale voids under freeze–thaw damage
and microwave healing were studied by X-ray computed tomography (CT). Firstly, the scale …

The accumulation and disposal of steel slag (SS) is a growing problem with economic
impact and environmental burden. This work aims to use SS to partially replace limestone to …

The meso-damage of concrete structure has an important impact on the macro-damage. X-
ray CT technology, as a non-destructive testing method, is one of great significance to the …