Content area
The wide-spread application of carbon fiber-reinforced polymer (CFRP) composites in industrial fields has led to high demand for developing a rapid detection method for assessing the structural performance of CFRP composites in operation based on optical fiber sensing technology. Therefore, the effectiveness and reliability of evaluating the fatigue resistance of CFRP plates based on fiber Bragg grating (FBG) monitoring information were explored. The strain response of CFRP plates at key positions under constant amplitude fatigue load was monitored by bare FBGs in series and packaged quasi-distributed FBGs in series. The structural performance and fatigue resistance characteristics of CFRP plates were evaluated by statistical analysis and fatigue life prediction theory. The validity and accuracy of the test and analysis results were demonstrated by finite element modeling analysis. Compared with the traditional methods that evaluate the structural fatigue performance based on mass destructive experiments, this method significantly improves the detection efficiency and realizes the non-destructive and rapid online evaluation of structural service performance. Research shows that the designed FBG sensors can effectively monitor the strain response of CFRP plate under fatigue load, and the correlated fatigue algorithm can provide feasible and reliable technical approaches for online detection and evaluation on the structural performance of CFRP components.
Details
Finite element method;
Accuracy;
Bragg gratings;
Nondestructive testing;
Silicones;
Carbon fiber reinforced plastics;
Data processing;
Data analysis;
Plates;
Life prediction;
Fiber composites;
Monitoring;
Fatigue strength;
Statistical analysis;
Composite materials;
Thermography;
Corrosion;
Fiber reinforced polymers;
Temperature effects;
Sensors;
Optical fibers;
Fatigue tests;
Algorithms;
Fatigue life;
Carbon fiber reinforcement
; Si-Kai, Wang 1
; Jia-Yi, Zhang 1 ; Zhi-Gang, Xia 1 ; Bao-Rui, Peng 1 ; Sasy Chan Yung William 2
; Xiang Ping 3
; Hua-Ping, Wang 4
1 School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China; [email protected] (F.-K.S.); [email protected] (S.-K.W.); [email protected] (Z.-G.X.)
2 College of Architectural Science and Engineering, Yangzhou University, Yangzhou 225127, China; [email protected]
3 School of Civil Engineering, Central South University, Changsha 410075, China; [email protected]
4 School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China; [email protected] (F.-K.S.); [email protected] (S.-K.W.); [email protected] (Z.-G.X.), Key Laboratory of Mechanics on Disaster and Environment in Western China, Ministry of Education, Lanzhou University, Lanzhou 730000, China