Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …

Cracks on the concrete surface are one of the earliest indications of degradation of the
structure which is critical for the maintenance as well the continuous exposure will lead to …

Automatic detection and segmentation of concrete cracks in tunnels remains a high-priority
task for civil engineers. Image-based crack segmentation is an effective method for crack …

As a promising alternative to alkali-activated fly ash (AAF) for high temperature application,
the degradation mechanism of alkali-activated fly ash/GGBS (AAFS) under high temperature …

摘要传统的图像处理算法不能很好地对桥梁裂缝进行检测, 而经典的深度学习模型直接用于桥梁
裂缝的检测, 效果不甚理想. 针对这些问题, 本文提出了一种基于深度学习的桥梁裂缝检测算法 …

Microcracks can affect the mechanical properties of rocks, such as their stiffness and
strength. To provide a link between the microstructural parameters and the mechanical …

Fire accidents are common and one among the serious hazards faced by civil
infrastructures; therefore, appropriate measures have to be taken while designing the …

The intelligent detection of distress in concrete is a research hotspot in structural health
monitoring. In this study, Att-Unet, an improved attention-mechanism fully convolutional …

As a promising and environmentally friendly cementitious material for mass concrete
applications, the long-term performance evolution of low-heat cement (LHC) and moderate …

Gas extraction borehole is one of the important means to solve the mine gas disaster.
However, the deformation and damage of coal and rock bodies around borehole will …