This paper gives an overview of the use of inverse methods in damage detection and
location, using measured vibration data. Inverse problems require the use of a model and …

The main purpose of the present review paper is to illustrate the principal achievements of
numerous researchers who have studied the non-linear effects caused by a closing crack in …

This paper proposes the use of a new data-driven approach for drive-by monitoring of bridge
condition. The proposed algorithm uses an Artificial Neural Network (ANN) which is trained …

This paper proposes a two-stage approach for damage assessment in beam-like structures
using two-dimensional Isogeometric Analysis (IGA) and Finite Element Method (FEM) …

This paper proposes a new two-stage machine learning approach for bridge damage
detection using the responses measured on a passing vehicle. In the first stage, an artificial …

This paper proposes a k-Nearest Neighbours (kNN) algorithm for locating and quantifying
bridge damage based on the time-varying forced frequencies due to a moving truck …

There are a number of approaches to the modeling of cracks in beam structures reported in
the literature, that fall into three main categories; local stiffness reduction, discrete spring …

Bridge structures are continuously subject to degradation due to the environment, ageing
and excess loading. Periodic monitoring of bridges is therefore a key part of any …

This work presents a cohesive fracture modeling approach to investigate the damage effects
on the mechanical response of reinforced concrete beams in terms of degradation of …

Ongoing inspection and maintenance of bridges poses a challenging task for infrastructure
owners who must manage large bridge stocks with limited budgets. Drive-by monitoring …