This paper reviews recent advances in sensor technologies for non-destructive testing
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …

Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …

The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …

Structural health monitoring (SHM) systems are used to analyze the health of infrastructures
such as bridges, using data from various types of sensors. While SHM systems consist of …

In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …

Abstract The fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) has brought
about a paradigm shift in the realm of architecture, engineering, and construction (AEC) …

With more cars on the road and an increasing travel rate, one of the main issues in
transportation engineering is how to make roads safe. The evaluation of the level of road …

Structural health monitoring systems have been employed throughout history to assess the
structural responses of bridges to both natural and man-made hazards. Continuous …

In this paper, a damage detection strategy for beam-type structures based on frequency
response functions (FRFs) is presented. Five aluminum beams of equal nominal dimensions …

Rock strength is the most deterministic parameter for studying geological disasters in
resource development and underground engineering construction. However, the …