Structural Health Monitoring of Periodic Infrastructure: A Review and Discussion

  • Junfang Wang
  • Jian-Fu LinEmail author


Periodic structure has obtained wide applications in various infrastructures. The structural health monitoring of periodic infrastructures is motivated by the facts that in-service infrastructures are damage-prone, while traditional inspection and nondestructive evolution hardly meet the requirements in continuous surveillance, timely warning and assessment of anomalies, and cost-effective maintenance. In this chapter, the fundamental principles and applications of the periodic structure are first introduced. Then, the recent research activities on the health monitoring of periodic infrastructures using data mining are summarized. It is followed by a review of instantaneous baseline structural health monitoring that was originally presented for diminishing the vulnerability of anomaly detection performance to environmental and operational conditions. Investigations on structural health monitoring using the inherent property of periodic structure are subsequently reviewed, and none of them incorporates both instantaneous baseline and advanced data mining techniques for the anomaly identification oriented classification, prediction, and optimization. Based on the state-of-the-art review, discussions about current investigations and suggestions for future studies are provided in the final section.


Structural health monitoring Damage detection Periodic structure Instantaneous baseline Data mining 



The authors wish to acknowledge the financial supports from China Earthquake Administration’s Science for Earthquake Resilience Project (No. XH204702) and the Guangdong Provincial Science and Technology Plan Project (No. 2018B020207011).


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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.The Hong Kong Polytechnic UniversityHung Hom, KowloonChina
  2. 2.Center of Safety Monitoring of Engineering StructuresShenzhen Academy of Disaster Prevention and ReductionShenzhenChina

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