This paper aims to review high-dimensional data analytic (HDDA) methods for structural
health monitoring (SHM) and non-destructive evaluation (NDE) applications. High …

Immediate assessment of structural integrity of important civil infrastructures, like bridges,
hospitals, or dams, is of utmost importance after natural disasters. Currently, inspection is …

To achieve effective inspection of reinforced concrete structures, a smart solution to obtain
quantitative crack information automatically from inspection is essential. Therefore, a novel …

Existing convolutional neural network (CNN)‐based methods have limitations in long‐term
multi‐damage recognition for civil infrastructures. Owing to catastrophic forgetting, the …

The appearance of surface cracks is an important feature of the early safety of the
architecture being threatened, which is of great significance to maintaining the safety of the …

Crack detection on roads is essential nowadays because it has a significant impact on
ensuring the safety and reliability of road infrastructure. Thus, it is necessary to create more …

Regular crack inspection of concrete facilities is an important means to ensure the safe
operation of the bridge. Currently, some methods based on the computer visualization have …

Continuous efforts were made in detecting cracks in images. Varied CNN models were
developed and tested for detecting or segmenting crack regions. However, most datasets …

Abstracts: Due to the construction industry's rapid growth, concrete is now the standard
building material used in new construction. In recent days, the development of the …

Concrete crack detection is an important link in the construction of water conservancy
projects, which has a significant impact on dam safety. Therefore, it is particularly important …