This article proposes a new damage detection method using Modal Test Analysis Model and
artificial neural networks. A challenge in damage detection problems is lack of measured …

Harbor caissons are regarded as one of the most critical infrastructures, and any disruption
in their operation would have dramatic economic consequences. The need for a health …

Ambient vibration is an unknown excitation source that may produce stationary or non-
stationary signals. Under such circumstances, traditional feature extraction techniques may …

Civil infrastructures deteriorate due to aging, adverse environmental conditions, and
inadequate maintenance. Thus, to ensure both safety and serviceability of the structures as …

This paper proposes an output-only damage classification framework using correlation
functions and information entropy. Information entropy quantifies the amount of complexity …

The plant Ylang-ylang is a tree native to the subtropical regions. Essential oils are typically
extracted from their flowers to be used in several alternative medical treatment options. This …

This paper proposes a novel optimization algorithm called modal force information-based
optimization (MFIBO) to identify the location and severity of damage in structures. The main …

This paper presents an output-only structural damage identification methodology by
combining the concept of information entropy and transmissibility function. Information …

In this study, a novel damage detection framework for skeletal structures is presented. The
introduced scheme is based on the optimization‐based model updating method. A new …

In this paper, we describe how the up-to-date state of a digital twin, and its corresponding
simulation model, can be used as a fitness function of an evolutionary algorithm for …