Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …

Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

Premature failure of bridge expansion joints has been increasingly observed in recent years,
and nowadays it becomes a major concern of bridge owners. A better understanding of their …

Bayesian inference provides a powerful approach to system identification and damage
assessment for structures. The application of Bayesian method is motivated by the fact that …

Shear strength of corroded reinforced concrete (CRC) beams is a key concern in the design
and/or retrofit processes for an RC structure during its life-cycle. In this paper, we develop a …

In this paper, we delve into the evolving landscape of vibration-based structural damage
detection (SDD) methodologies, emphasizing the pivotal role civil structures play in society's …

This article proposes a deep sparse autoencoder framework for structural damage
identification. This framework can be employed to obtain the optimal solutions for some …

Pattern recognition is a promising approach for the identification of structural damage using
measured dynamic data. Much of the research on pattern recognition has employed artificial …

This paper develops an innovative probabilistic predictive model for bond strength of
corroded reinforced concrete based on the weighted averaging of non-fine-tuned machine …

Most of the existing damage detection methods focused on damage along members of the
structure without considering possible damage at its connections. Under the Bayesian …