Guest Editors
Assoc. Prof. Dr. Hua-Ping Wang
Email: wanghuaping1128@sina.cn
Affiliation: School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China
Homepage:
Research Interests: structural health monitoring, smart optical fiber sensors, structural dynamic analysis and damage identification, data motivated structural state assessment, smart CFRP components
Prof. Dr. Kuo Tian
Email: tiankuo@dlut.edu.cn
Affiliation: School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, China
Homepage:
Research Interests: engineering mechanics, computational mechanics, aerospace mechanics and engineering
Prof. Dr. Ping Xiang
Email: pxiang2-c@my.cityu.edu.hk
Affiliation: School of Civil Engineering, Central South University, Changsha 410083, China
Homepage:
Research Interests: computing in civil engineering, smart sensors and structural mechanics
Prof. Dr. Jose Campos e Matos
Email: jmatos@civil.uminho.pt
Affiliation: Department of Civil Engineering, ARISE, ISISE, University of Minho, 4800-058 Guimarães, Portugal
Homepage:
Research Interests: asset management systems, life-cycle costs (LCC), safety assessment, risk evaluation and sustainability
Summary
The Special Issue "Smart Sensors and Smart CFRP Components for Structural Health Monitoring of Aerospace, Energy and Transportation Structures" aims to display the recent advances in structural health monitoring of aerospace, energy, and transportation structures. The health condition of these important structures in operation has always been a significant scientific bottleneck. How to develop reliable, efficient, and long-term stable sensors and smart components for the structural health monitoring of these structures with high value has attracted high attention. Advanced sensing technology and smart structural health monitoring (SHM) systems can be a feasible way to address this problem. Among them, optical fiber sensors can be the most promising monitoring technology, which can be attached or embedded into the composites to configure the smart carbon fiber reinforced polymer (CFRP) components. The smart CFRP components can both bear the force and perceive the structural deformation, which can provide efficient signals to prevent the structures from abrupt failure. Parametric reflection based on the monitoring data and data-motivated model updating are also critically significant and can determine the accuracy and reliability of the SHM system. For this reason, the Special Issue intends to declare the contributions of smart sensors (i.e., optical fiber sensors, PZT sensors, ultrasonic sensors), parametric reflection, and state assessment based on monitoring data, data-motivated damage identification, and risk prediction. This Research Topic aims to cover original or review articles exploring the innovation in SHM fields. Themes of interests include, but are not limited to:
· Smart sensors for stress (or force), strain (or deformation), crack, damage, temperature measurement
· Smart CFRP components with self-sensing and multi-parameter characterization function
· Optical fiber sensors and structures in engineering
· SHM system based on multiple sensors
· Parametric reflection and state assessment based on monitoring data
· Static or dynamic response-based structural damage identification
· Vibration analysis and modal parameter recognition
· Structural state assessment and risk prediction
Keywords
smart sensors, smart CFRP components, parametric reflection, damage identification, state assessment, risk prediction
Published Papers
Login
Register
Submit a Paper
Propose a Special lssue