Recent progress and future trends on damage identification methods for bridge structures

By Yonghui An, Eleni N. Chatzi, Sung-Han Sim, S. Laflamme, B. Błachowski, J. Ou. Structural Control & Health Monitoring, 2019

296 citations recorded by the source corpus.

Damage identification forms a key objective in structural health monitoring. Several state‐of‐the‐art review papers regarding progress in this field up to 2011 have been published. This paper summarizes the recent progress between 2011 and 2017 in the area of damage identification methods for bridge structures. This paper is organized based on the classification of bridge infrastructure in terms of fundamental structural systems, namely, beam bridges, truss bridges, arch bridges, cable‐stayed bridges, and suspension bridges. The overview includes theoretical developments, enhanced simulation attempts, laboratory‐scale implementations, full‐scale validation, and the summary for each type of bridges. Based on the offered review, some challenges, suggestions, and future trends in damage identification are proposed. The work can be served as a basis for both academics and practitioners, who seek to implement damage identification methods in next‐generation structural health monitoring systems.

Subfields: Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/d01996024c6eb0627f533988ffadf033cee38d3d

Citations in the corpus

• Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection (2020, unknown): “Research issues to alleviate these problems include new sensor techniques (Das and Saha 2018), sensor placement optimization (Ostachowicz et al. 2019), and effective damage detection algorithms (An et al 2019).”