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Journal of Sensors
Volume 2018, Article ID 9834958, 2 pages
https://doi.org/10.1155/2018/9834958
Editorial

Structural Health Monitoring and Assessment: Sensors and Analysis

1Department of Civil and Environmental Engineering, Incheon National University, Incheon 22012, Republic of Korea
2Incheon Disaster Prevention Research Center, Incheon National University, Incheon 22012, Republic of Korea
3Department of Public Works and Civil Engineering, Mansoura University, Mansoura 35516, Egypt
4Department of Structural Engineering, Mansoura University, Mansoura 35516, Egypt
5Department of Civil and Water Engineering, Laval University, Québec, QC, Canada G1V 0A6

Correspondence should be addressed to Mosbeh R. Kaloop; ge.ude.snam@hebsom

Received 13 March 2018; Accepted 13 March 2018; Published 30 May 2018

Copyright © 2018 Mosbeh R. Kaloop et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Structural health monitoring (SHM) aims to assess the behavior of structures and evaluate the performance of materials during the life cycle of the structures. Such assessment should include the different parts of the structure and full assembly of the structure as a whole under different cases of loadings. SHM involves the integration of sensors, smart materials, data transmission, computational power, and processing inside the structure. Therefore, sensor properties and characteristics are essential parameters to detect the accurate behavior of structures. In addition, time and frequency domain analyses for structures’ members or performance of materials should be evaluated to assess the full behavior of structures.

Nowadays, sensors are developed based on the requirements of the SHM system. In this issue, the structure behaviors and environment conditions are measured and assessed to study the environment impact on structures. In addition, strain and temperature are measured for a bridge and the performance of the bridge under harsh environmental impact is studied. Moreover, the terrestrial laser scanning (TLS) is used to assess the deflection of structures in three dimensions. Ultrasonic waves are used to assess materials’ behavior, and fiber Bragg sensors are utilized to determine the damage indicator of a mine station.

Real structures, materials, and experiments are evaluated and assessed in this issue to analyze and study the behavior of structures and performance of sensors, respectively. Time series and statistical analyses for strain measurements are used to assess the reliability of prestressed concrete box-girder bridge. The time and frequency domains are utilized to assess the bridge condition under real load effects. An innovation statistical window selection method is applied to extract the accurate deformation of structures using TLS measurements. Damage detection is evaluated and assessed based on experimental and real measurements using development statistical analyses in time domain. Also, a numerical method and experiments are used to assess the performance of noncontact ultrasonic sensors. In addition, the nonlinear evaluation of the damage behavior of a material is assessed and studied.

Acknowledgments

We wish to thank the reviewers of this special issue for their help in reviewing the submitted papers. Also, we would like to acknowledge the editorial board members for approving the publication of this special issue. Finally, the authors are grateful for both the efforts in the preparation of the manuscripts and the choice of this journal’s special issue to publish their scientific and technical contributions. The first and second editors are supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2017R1A2B2010120). They are also supported by Post-Doctor Research Program in 2018 through the Incheon National University (INU), Incheon, South Korea.

Mosbeh R. Kaloop
Jong Wan Hu
Emad Elbeltagi
Ahmed El Refai