Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …

The benefits of tracking, identifying, measuring features of interest from structure responses
have endless applications for saving cost, time and improving safety. To date, structural …

Abstract Fiber Optic Shape Sensing is an innovative Optical Fiber Sensing Technology that
uses a fiber optic cable to continuously track the 3D shape and position of a dynamic object …

Artificial neural networks are computational approaches based on machine learning to learn
and make predictions based on data, and have been applied successfully in diverse …

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

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 …

Changes in environmental conditions such as temperature and humidity affect structural
vibration properties. Other researchers have reported that modal frequencies varied …

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

Long span suspension bridges cost billions. In recent decades, structural health monitoring
systems have been developed to measure the loading environment and responses of these …

Structural damage identification can be considered as an optimization problem, by defining
an appropriate objective function relevant to structural parameters to be identified with …