Monitoring the cohesive damage of the adhesive layer in CFRP double-lapped bonding joint based on non-uniform strain profile reconstruction using dynamic particle swarm optimization algorithm

Song, Chunsheng; Shang, Erwei; Huang, Xiangyang; Zhang, Jinguang

doi:10.1016/j.measurement.2018.03.063

Cited by 10 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the FBG is affected by a nonuniform strain, complex changes in the FBG reflection spectrum can be measured by a spectrum analyzer [20,21]. At this time, the signal measured by the FBG is a one-dimensional vector, which contains plentiful original features [22]. Zhang combined finite element analysis with an FBG reflection spectrum simulation technique to predict the spectral signal of a damaged flexible corrugated skin [23].…”

Section: Introductionmentioning

confidence: 99%

Load-Identification Method for Flexible Multiple Corrugated Skin Using Spectra Features of FBGs

Zheng

Liang

2021

Aerospace

View full text Add to dashboard Cite

Flexible corrugated skins are ideal structures for morphing wings, and the associated load measurements are of great significance in structural health monitoring. This paper proposes a novel load-identification method for flexible corrugated skins based on improved Fisher discrimination dictionary learning (FDDL). Several fiber Bragg grating sensors are pasted on the skin to monitor the load on multiple corrugated crests. The loads on different crests cause nonuniform strain fields, and these discriminative spectra are recorded and used as training data. The proposed method involves load-positioning and load-size identification. In the load-size-identification stage, a classifier is trained for every corrugated crest. An interleaved block grouping of samples is introduced to enhance the discrimination of dictionaries, and a two-resolution load-size classifier is introduced to improve the performance and resolution of the grouping labels. An adjustable weight is introduced to the FDDL classification scheme to optimize the contribution from different sensors for different load-size classifiers. With the proposed method, the individual loads on eight crests can be identified by two fiber Bragg grating sensors. The positioning accuracy is 100%, and the mean error of the load-size identification is 0.2106 N, which is sufficiently precise for structural health monitoring.

show abstract

Section: Introductionmentioning

confidence: 99%

Load-Identification Method for Flexible Multiple Corrugated Skin Using Spectra Features of FBGs

Zheng

Liang

2021

Aerospace

View full text Add to dashboard Cite

show abstract

“…S Jiang et al 16 proposed a method to measure the elastic modulus of CFRP based on FBG reflectance spectrum analysis. C Song et al 17 calculated the reflection spectrum of FBG for reconstructing the adherend strain profile of FBG sensing area with the dynamic particle swarm optimization algorithm. H Haixiao 18 used the spectral distortion of built-in FBG sensors to monitor the damage of the adhesive-bonded joints to speculate the debonding length of the joints, but could not predict the damage.…”

Section: Introductionmentioning

confidence: 99%

Damage detection of carbon fiber reinforced plastic π adhesive-bonded joints based on the peeling stress reconstruction with hybrid artificial fish swarm and frog leaping algorithm

Huang

Liu

Song

et al. 2019

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

In this article, we first research on the relationship between joint damage evolution and peeling stress distribution of carbon fiber reinforced plastic p adhesive-bonded joints by finite element method. According to the damage form of carbon fiber reinforced plastic p adhesive-bonded joints, we established its progressive damage finite element model based on the two-dimensional Hashin failure criterion and cohesive zone model. Then, based on the fiber Bragg grating reflectance spectra at the debonding part during the damage evolution process obtained by simulation analysis, the distribution of peeling stress at the debonding area is reconstructed using the hybrid artificial fish swarm and frog leaping algorithm. The results show that the convergence of the artificial fish swarm and frog leaping algorithm is improved significantly in the early stage, the time consumed in getting out of the local convergence and finding optimal solutions is obviously shortened, and the reconstructed stress distribution is in high agreement with the ideal stress distribution corresponding to numerical simulation, which verifies the feasibility of this method in the damage detection of carbon fiber reinforced plastic p adhesive-bonded joints.

show abstract

A metaheuristic-based comparative structure for solving discrete space mechanical engineering problem

Arjomandi,

Mousavi Asl,

Mosallanezhad

et al. 2024

Ann Oper Res

View full text Add to dashboard Cite

Monitoring the cohesive damage of the adhesive layer in CFRP double-lapped bonding joint based on non-uniform strain profile reconstruction using dynamic particle swarm optimization algorithm

Cited by 10 publications

References 20 publications

Load-Identification Method for Flexible Multiple Corrugated Skin Using Spectra Features of FBGs

Load-Identification Method for Flexible Multiple Corrugated Skin Using Spectra Features of FBGs

Damage detection of carbon fiber reinforced plastic π adhesive-bonded joints based on the peeling stress reconstruction with hybrid artificial fish swarm and frog leaping algorithm

A metaheuristic-based comparative structure for solving discrete space mechanical engineering problem

Contact Info

Product

Resources

About