A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

Abstract

Abstract:Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their progression to real-world applications has not been without its challenges and shortcomings, mainly stemming from: (1) environmental and operational variations; (2) inefficient utilization of machine learning algorithms for damage detection; and (3) a general over-reliance on modal-based DSFs alone. The present paper provides an in-depth review of the development of modal-based DSFs and a synopsis of the challenges they face. The paper then sets out to addresses the highlighted challenges in terms of published advancements and alternatives from recent literature.

Vibration‐based structural state identification by a 1‐dimensional convolutional neural network

“…Vibration-based SDD methods with system identification have explored the correlations between the vibration features (natural frequency, mode shape, and their derivatives) and the structural damage information (Chang & Kim, 2016;Dutta & Talukdar, 2004;Ndambi, Vantomme, & Harri, 2002;Pandey et al, 1991;Ratcliffe, 1997;Reynders et al, 2014;Spiridonakos & Chatzi, 2014;Yan, Kerschen, De Boe, & Golinval, 2005). Vibrationbased SDD methods are reviewed in Cruz and Salgado (2009), Salawu (1997), and Moughty and Casas (2017).…”

Vibration‐based damage localization with load vectors under temperature changes

“…In data‐driven methods, the damage is located using only the recorded response of the structure. For example, damage localization can be performed on the basis of changes in natural frequency, mode shapes or modal curvature, or modal strain energy . Furthermore, artificial neural networks, genetic algorithms, wavelet‐based analysis, or other signal processing methods are applied among others.…”

Innovative aspects in developing bridge monitoring systems

“…There is a growing need for early detection of a tendency towards performance degradation in each particular structure. Automated monitoring is proposed as an innovative method [1][2][3][4][5][6][7]. On the other hand, new bridge construction is characterized by increasingly complex structures for bridging large spans and the introduction of poorly studied advanced materials, such as polymer composites, in designing new structures [8][9][10][11].…”