4.7 Article

Flexural progressive failure mechanism of hybrid 3D woven composites: Combination of X-ray tomography, acoustic emission and digital image correlation

Journal

COMPOSITE STRUCTURES
Volume 280, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2021.114894

Keywords

Hybrid woven composites; Progressive damage evolution; Acoustic emission; X-ray micro-computed tomography; Digital image correlation

Funding

  1. Natural Science Foundation of China [11702115, 12072131]
  2. Natural Science Foundation of Jiangsu Province (P.R. China) [BK20170166]
  3. National Science and Technology Major Project [2017-VI-0007-0076]
  4. Military Commission Science and Technology Foundation Strengthening Project [2017-JCJQ-ZD-035-01]
  5. Shanghai Aerospace Science and Technology Innovation Fund [SAST-2019105]

Ask authors/readers for more resources

The study experimentally tested three types of 3D angle-interlock woven composites and found that hybrid structures have significant effects on mechanical behaviors, damage models, and failure mechanisms. Delamination, fiber fracture matrix cracking, and debonding are dominant failure mechanisms for hybrid 90 degrees specimens, while matrix cracking and fiber matrix debonding are predominant for hybrid 0 degrees specimens.
This paper presents the hybrid effect on the bending progressive damage of three-dimensional (3D) angleinterlock woven composites. Three types of 3D angle-interlock specimens, carbon, hybrid (Carbon/UHMWPE) and UHMWPE, of the warp and weft orientations are experimentally tested via three-point bending method. Xray micro-computed tomography (Micro-CT), acoustic emission (AE) and digital image correlation (DIC) techniques are combined to evaluate the damage initiation/evolution of hybrid 3D woven composites. Results indicate that hybrid structures have significant effects on the mechanical behaviors, damage models and failure mechanisms. Furthermore, the dominant failure mechanisms of hybrid 90 degrees specimens are delamination, fiber fracture matrix cracking and debonding, whereas those of hybrid 0 degrees specimens are matrix cracking and fiber matrix debonding.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Materials Science, Textiles

Preparation and characterization of basalt fabrics coated with zirconia obtained by sol-gel method for textile reinforced concrete

Minghao Jia, Wanzi Xie, Kejing Yu, Kun Qian

Summary: In this study, a dense zirconia coating was coated on the surface of basalt fabrics to improve their alkali resistance. The coated basalt fabrics formed a protective membrane to prevent the diffusion of hydroxide ions, resulting in a final strength retention ratio of 89.92% compared to pristine basalt fabrics. The compressive strength and flexural strength of the zirconia-coated basalt fabrics reinforced concrete increased by 10.15% and 19.0% respectively.

JOURNAL OF THE TEXTILE INSTITUTE (2022)

Article Materials Science, Textiles

Uniaxial tensile response of basalt fiber with different structures reinforced fine-grained concrete via acoustic emission monitoring

Minghao Jia, Kejing Yu, Kun Qian

Summary: This study investigated the uniaxial tensile properties of basalt fiber and basalt textile reinforced fine-grained concrete composites under different curing cycles using acoustic emission technology. The results showed a positive correlation between tensile strength and curing cycles, and an improved reinforcing effect with increased fiber volume content. The Aveton-Cooper-Kelly model was used to analyze the reinforcement mechanism of basalt textiles, which were found to significantly improve the cracking load, ultimate load, cracking displacement, and ultimate displacement of the concrete. The specimens exhibited strain hardening and the acoustic emission signals were highly correlated with the load-displacement curves, indicating different fracture mechanisms.

JOURNAL OF THE TEXTILE INSTITUTE (2023)

Article Chemistry, Physical

Synchronously modulated the morphology and crystal defects of ?-MnO2 for high-performance mono-component electromagnetic wave absorber

Tianyu Chen, Fan Zhou, Kun Qian, Kunlin Chen, Zhongwei Zhang, Xiaoqing Dai, Minqian Sun, Kejing Yu

Summary: This study reports the use of Ag+-doped alpha-MnO2 with a hierarchical structure for electromagnetic wave absorption, which significantly improves the absorption performance by modulating the microscopic morphology and crystal defects, achieving thin thickness, enhanced absorption intensity, and widened absorption bandwidth.

APPLIED SURFACE SCIENCE (2023)

Article Computer Science, Artificial Intelligence

GOMT: Multispectral video tracking based on genetic optimization and multi-features integration

Kun Qian, Peng Chen, Dong Zhao

Summary: To address the issue of ineffective object-background distinction in traditional RGB visual tracking algorithms, this study proposes a tracking algorithm based on spectral information, utilizing band selection, information fusion, and deep features. By conducting correlation analysis on 16 spectral bands and utilizing genetic optimization, two bands with low correlation coefficient and abundant information are obtained. Guided filtering is adopted to fuse the target region information from the two bands within the kernel correlation filtering tracking framework. Feature maps are generated using histogram of gradient and pretrained visual geometry group network. Finally, the target is detected based on the maximum value of a strong response. Experimental results demonstrate that the genetic optimization based multifeature tracker achieves good results in both subjective vision and objective evaluation.

IET IMAGE PROCESSING (2023)

Article Engineering, Chemical

The rheological properties of shear thickening fluid reinforced with ZnO of different friction characteristics

Ping Wang, Lulu Li, Kun Qian, Kejing Yu, Yaoliang Zhang, Yunpeng Xia, Zhongwei Zhang, Ziming Xiong

Summary: This study synthesized nanoparticle-enhanced STF with various friction characteristics and investigated the enhancement mechanism of additives. The results indicated that the friction characteristics significantly influenced the ST performance.

POLYMER ENGINEERING AND SCIENCE (2023)

Article Environmental Sciences

Hyperspectral Video Target Tracking Based on Deep Features with Spectral Matching Reduction and Adaptive Scale 3D Hog Features

Zhe Zhang, Xuguang Zhu, Dong Zhao, Pattathal V. Arun, Huixin Zhou, Kun Qian, Jianling Hu

Summary: This paper proposes a novel algorithm for hyperspectral video target tracking that addresses the challenges of target scale variations. The approach combines deep features, spectral matching reduction, and adaptive-scale 3D hog features to track the target objects. Experimental results demonstrate that the proposed algorithm outperforms state-of-the-art approaches in tracking hyperspectral video targets.

REMOTE SENSING (2022)

Article Environmental Sciences

Hyperspectral Video Target Tracking Based on Deep Edge Convolution Feature and Improved Context Filter

Dong Zhao, Jialu Cao, Xuguang Zhu, Zhe Zhang, Pattathal V. Arun, Yecai Guo, Kun Qian, Like Zhang, Huixin Zhou, Jianling Hu

Summary: This paper proposes a novel hyperspectral target tracking algorithm based on DECF and ICF to address the performance degradation issue caused by background clutter. The algorithm achieves satisfactory tracking performance against background clutter challenges through feature fusion and context filtering.

REMOTE SENSING (2022)

Article Polymer Science

Shape memory polymer micropatterns with switchable wetting properties

Junhao Liu, Wanting Wei, Feng Cao, Zhiyong Zeng, Kun Qian, Hongmei Chen, Fenghua Zhang, Wenbing Li

Summary: Inspired by nature, scientists have developed surfaces with controllable wettability through alterations in surface micro/nanostructures or changes in chemical compositions. This article reports the control of surface wettability using three types of shape-memory micropatterns that can be reversibly transformed between a stretched and an original/recovered state due to the shape-memory properties of poly (ethylene-co-vinyl acetate) (EVA). The study also demonstrates that surface wettability can be controlled by the reversible transformation of surface micropatterns.

EUROPEAN POLYMER JOURNAL (2023)

Article Polymer Science

Ablation behavior and damage mechanisms of carbon/boron-modified phenolic 2.5D woven composite

Fang Dong, Xiaoxu Wang, Chao Zhang, Kun Qian, Yiqiang Hong, Diantang Zhang

Summary: This paper presents the influence of reinforcement structure and matrix microstructure on the ablation mechanism and tensile progressive failure of carbon/phenolic 2.5D woven composites. The results show that the microstructure of the matrix has an important influence on the ablative properties of the specimens. CDP exhibits a better linear ablation rate, while CLP has a lower mass ablation rate. Furthermore, CLP retains higher post-ablation residual properties than CDP.

POLYMER DEGRADATION AND STABILITY (2023)

Article Environmental Sciences

AD-SiamRPN: Anti-Deformation Object Tracking via an Improved Siamese Region Proposal Network on Hyperspectral Videos

Shiqing Wang, Kun Qian, Jianlu Shen, Hongyu Ma, Peng Chen

Summary: This paper proposes a SiamRPN based hyperspectral tracker to address the failure of tracking algorithm when the target undergoes deformation. A band selection method based on genetic optimization is designed to reduce information redundancy in hyperspectral images, with three bands selected based on joint entropy. Update network is trained on a dataset from general objective tracking benchmark to solve the problem of template decay in SiamRPN model. Experimental results show that the proposed tracker achieves good tracking results over the entire public dataset, outperforming other popular trackers in tracking deformed targets, with an overall success rate of 57.5% and a deformation challenge success rate of 70.8%.

REMOTE SENSING (2023)

Article Environmental Sciences

Hyperspectral Video Tracker Based on Spectral Deviation Reduction and a Double Siamese Network

Zhe Zhang, Bin Hu, Mengyuan Wang, Pattathal V. Arun, Dong Zhao, Xuguang Zhu, Jianling Hu, Huan Li, Huixin Zhou, Kun Qian

Summary: This paper proposes a novel hyperspectral video tracker based on the double Siamese network (D-Siam) and the AlexNet backbone. A spectral-deviation-based dimensionality reduction approach is adopted to improve the distinction between the target and background. The initial response map and adjacent response map obtained from the D-Siam network are fused using an adaptive weight estimation strategy. A confidence judgment module is proposed to regulate the update for the whole framework. Comparative analysis and extensive ablation study on a publicly available benchmark hyperspectral dataset show that the proposed tracker outperforms existing state-of-the-art approaches against most of the challenges.

REMOTE SENSING (2023)

Review Biochemistry & Molecular Biology

Multifunctional Textiles with Flame Retardant and Antibacterial Properties: A Review

Liping Jin, Chenpeng Ji, Shun Chen, Zhicong Song, Juntong Zhou, Kun Qian, Wenwen Guo

Summary: Bacterial infections and fire hazards pose potential risks in daily life. The demand for multifunctional textiles with flame retardant and antibacterial properties has increased, particularly in home furnishing and medical protection fields. Various treatment methods and novel technologies have been used to apply functional finishing agents onto fabrics. The use of natural biomasses and synthetic functional compounds with flame retardant and bacteriostatic properties has also gained attention. This review introduces commonly used finishing technologies and flame retardant/antibacterial agents, summarizing their advantages and disadvantages, which will contribute to future research and industry development.

MOLECULES (2023)

Article Engineering, Electrical & Electronic

Hyperspectral video target tracking based on pixel-wise spectral matching reduction and deep spectral cascading texture features

Dong Zhao, Xuguang Zhu, Zhe Zhang, Pattathal Arun, Jialu Cao, Qing Wang, Huixin Zhou, Hao Jiang, Jianling Hu, Kun Qian

Summary: This paper proposes a novel hyperspectral video target tracking algorithm based on Pixel-wise Spectral Matching Reduction (PSMR) and Deep Spectral Cascading Texture (Deep-SCT) features. The algorithm overcomes the interference caused by illumination variation (IV) and achieves superior performance compared to state-of-the-art approaches. Experimental results demonstrate its effectiveness in handling IV.

SIGNAL PROCESSING (2023)

Article Chemistry, Analytical

SiamPKHT: Hyperspectral Siamese Tracking Based on Pyramid Shuffle Attention and Knowledge Distillation

Kun Qian, Shiqing Wang, Shoujin Zhang, Jianlu Shen

Summary: This article proposes a hyperspectral object tracking algorithm called SiamPKHT, which leverages pyramid shuffle attention and knowledge distillation to better utilize the features of hyperspectral images and address the difficulties in model training and overfitting problem. Experiments show that this algorithm outperforms other methods and meets real-time requirements.

SENSORS (2023)

Article Mechanics

A dovetail core design for joints in composite sandwich structures

Rawan Aqel, Patrick Severson, Rani Elhajjar

Summary: A novel core splice joint configuration for composite sandwich structures is studied and proposed to improve the strength and toughness. Experimental and numerical efforts show that this configuration can significantly increase the ultimate strength by 13% to 51% and the toughness by 2% to 35%.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Form-finding of elastic gridshell based on spatial elastica model

Xianheng Wang, Cong Chen, Jinsong Zhang, Xinming Qiu

Summary: In this paper, a new form-finding method based on spatial elastica model (FMSE) is proposed for elastic gridshells. The method integrates the deformations of elastic rods into the overall deformation of the gridshell, and solves a set of transcendental equations using the quasi-Newton method to ensure the deformation satisfies the given boundary conditions. The method is validated through experiments and expected to have potential applications in the investigations of elastic gridshells.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Prediction of elastic properties of 3D4D rotary braided composites with voids using multi-scale finite element and surrogate models

Hao Huang, Zitong Guo, Zhongde Shan, Zheng Sun, Jianhua Liu, Dong Wang, Wang Wang, Jiale Liu, Chenchen Tan

Summary: The conventional evaluation of 3D braided composites' mechanical properties through numerical and experimental methodologies hinders material application due to the expenses, time constraints, and laborious efforts involved. This study establishes a multi-scale finite element model and a surrogate model for predicting the elastic properties of 3D4D rotary braided composites with voids. By optimizing a neural network model, the results are validated and provide valuable insights into the microstructure and properties of these composites.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Free vibration characteristics of integrated fluted-core composite sandwich cylinders

Xinyu Li, Hao Zhang, Haiyang Yang, Junrong Luo, Zhongmin Xiao, Hongshuai Lei

Summary: Due to their excellent mechanical properties and design flexibility, fluted-core composite sandwich structures have gained significant attention in aerospace and rail transit applications. This study investigated the free-vibration characteristics and optimized design of composite fluted-core sandwich cylinders through theoretical models and experimental tests.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Mechanistic modeling considering bottom edge cutting effect and material anisotropy during end milling of aluminum honeycomb core

Chao Li, Chunzheng Duan, Xiaodong Tian, Chao Wang

Summary: A mechanistic model considering the bottom edge cutting effect and the anisotropic characteristics of the material is proposed in this paper to accurately predict cutting forces. The model was validated through a series of milling experiments and can be used to predict the cutting force of various parts of the cutter and any feed direction.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Vibro-acoustic performance of graded piezoelectric metamaterial plates

Camila Sanches Schimidt, Leopoldo Pisanelli Rodrigues de Oliveira, Carlos De Marqui Jr

Summary: This work investigates the vibro-acoustic performance of graded piezoelectric metamaterial plates. The study shows that piezoelectric metamaterial plates with reconfigurable properties can provide enhanced vibration and sound power attenuation.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Torsional mechanical properties and damage mechanism of glass fiber-ramie hybrid circular tube

Jun Ke, Li-jie Liu, Zhen-yu Wu, Zhong-ping Le, Luo Bao, Dong-wei Luo

Summary: Compared with other green natural fibers, ramie has higher mechanical properties and lower cost. In this study, ramie and glass fiber are made into composite circular tubes. The results show that the hybrid circular tube with ramie and glass fiber has improved torsional mechanical properties and reduced weight and cost. The failure mechanisms are affected by the loading direction and the content of each fiber.

COMPOSITE STRUCTURES (2024)

Article Mechanics

A novel analytical model for fiber reinforced cementitious matrix FRCM coupons subjected to tensile tests

Natalia Pingaro, Gabriele Milani

Summary: This paper proposes an enhanced analytical model for predicting the behavior of FRCM samples tested under standard tensile tests. The model takes into account the interaction between fibers and matrix through the interface, and assumes different material properties at different phases. By solving a second order linear differential equation, an analytical solution can be obtained. The model is validated with experimental data and shows good predictability.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades

Jialiang Fan, Anastasios P. Vassilopoulos, Veronique Michaud

Summary: This article investigates the effects of voids, joint geometry, and test conditions on the fracture performance of thick adhesive Double Cantilever Beam (DCB) joints. It concludes that grooved DCB joints with low void content tested at low displacement rates showed stable crack propagation without significant crack path deviation.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Quasi-static compression tests of overwrapped composite pressure vessels under low velocity impact

Auwalu I. Mohammed, Kaarthikeyan Raghupathy, Osvaldo De Victoria Garcia Baltazar, Lawson Onokpasah, Roger Carvalho, Anders Mogensen, Farzaneh Hassani, James Njuguna

Summary: This study investigates the performance of composite pressure vessels under damaged and undamaged conditions, providing insights into their reliability and residual strength capabilities. The results demonstrate that the damage profile and its effect on compressive strength are similar between damaged and non-damaged cylinders. When subjected to quasi-static compression, the polyethylene liner absorbs enough elastic strain energy to recover without plastic deformation. Additionally, quasi-static compression has little to no influence on the axial strength of the cylinders. The damage characterization reveals fiber breakage, delamination, local buckling, and brooming failure. This study has direct implications for the safety design tolerances, manufacturing strategies, and operational failure conditions of composite overwrapped pressure vessels (COPVs).

COMPOSITE STRUCTURES (2024)

Article Mechanics

Feature extraction and classification of multiple cracks from raw vibrational responses of composite beams using 1D-CNN network

Muhammad Irfan Shirazi, Samir Khatir, Djilali Boutchicha, Magd Abdel Wahab

Summary: Structural health monitoring is important to ensure the safety of components and structures. This study proposes a method using finite element models and 1D-CNN network to extract and classify vibration responses for crack detection. The results show that the proposed approach is effective in real-time damage detection.

COMPOSITE STRUCTURES (2024)

Article Mechanics

The effect of load concentration on one-way response of 3D-woven sandwich panels

Maryam Mirsalehi, Kiarash Kianpour, Sharif Shahbeyk, Mohammad Bakhshi

Summary: This study comprehensively investigates the one-way response of 3D-woven sandwich panels (3DWSPs) and their interfering parameters, providing interpretation of elastic and failure results, failure maps, and reliable theoretical models for linear elastic response and observed failure mechanisms.

COMPOSITE STRUCTURES (2024)

Article Mechanics

A unified hybrid Ritz-SEA acoustic vibration coupling method of a rectangular plate coupled with fast multipole boundary integration

Yiming Zhao, Zhonggang Wang, Zhigang Yang, Bin Qin

Summary: The paper proposes a Ritz and statistical energy analysis (Ritz SEA) hybrid method for calculating rectangular plate acoustic vibration coupling in the mid-frequency range. This method combines the fast convergence and ability to handle arbitrary boundary conditions of the Ritz method with the power flow equation of the statistical energy analysis method. The results show that this approach effectively filters out random fluctuations in mid-frequency domains while demonstrating exceptional stability and precision.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Strength and manufacturability enhancement of a composite automotive component via an integrated finite element/artificial neural network multi-objective optimization approach

Joao Henrique Fonseca, Woojung Jang, Dosuck Han, Naksoo Kim, Hyungyil Lee

Summary: This study addresses the enhancement of an injection-molded fiber-reinforced plastic / metal hybrid automotive structure and its plastic injection molding process through the integration of the finite element method, artificial intelligence, and evolutionary search methods. Experimental validation of finite element models, the generation of a database through orthogonal array and Latin hypercube methods, and the training of artificial neural networks are conducted. The genetic optimization algorithm is then applied to identify optimal process parameters. The results show significant reduction in product warpage and manufacturing time while maintaining structural strength, contributing to the advancement of composite automotive structures with superior quality.

COMPOSITE STRUCTURES (2024)

Article Mechanics

Post-buckling behavior and collapse of Double-Double composite single stringer specimens

Alessandro Vescovini, Carina Xiaochen Li, Javier Paz Mendez, Bo Cheng Jin, Andrea Manes, Chiara Bisagni

Summary: This paper presents a study on six single-stringer specimens manufactured using the card-sliding technique with non-crimp fabrics and adopting a Double-Double (DD) stacking sequence. The specimens were tested under compression loading conditions to investigate post-buckling and failure in aerospace structures. Experimental results and numerical simulations were compared to analyze the behavior and failure modes of the specimens. The study found promising evidence of a viable solution to optimize aeronautical structures and enhance resistance to skin-stringer separation, particularly with the use of tapered flanges.

COMPOSITE STRUCTURES (2024)