The state-of-the art paper provides an extensive literature review on the work pertaining to
structural health monitoring (SHM) systems used to investigate the structural integrity of …

Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …

Structural health monitoring (SHM) is a relatively new paradigm for civil infrastructure
stakeholders including operators, consultants and contractors which has in the last two …

The advances in data science in the last few decades have benefitted many other fields,
including Structural Health Monitoring (SHM). Artificial Intelligence (AI), such as Machine …

Material damage in structures must be detected in a timely manner to prevent engineering
accidents. Damage detection based on structural flexibility has attracted widespread …

In this paper, a new structural identification method is proposed to identify the modal
properties of engineering structures based on dynamic response decomposition using the …

This paper addresses a damage detection method based on changes in modal curvature
combined with Convolutional Neural Network (CNN). The use of modal curvature for …

Structural damage assessment is crucial for structural health monitoring to evaluate the
safety and residual service life of the structure. To solve the structural damage detection …

Recently self-sensing cementitious composite has demonstrated its strong potentiality for
structural health monitoring of civil infrastructures because of its low-cost, long-term stability …

Monitoring data of civil structures mainly include load-and temperature-induced structural
responses. Traditional damage-detection methods use vibration-based structure responses …