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result(s) for
"Fiber pullout"
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Bridging Behavior of Palm Fiber in Cementitious Composite
by
Shiferaw, Helen Negash
,
Kanakubo, Toshiyuki
,
Abrha, Selamawit Fthanegest
in
Bend tests
,
Bending moments
,
Bonding strength
2024
This study addresses the growing need for sustainable construction materials by investigating the mechanical properties and behavior of palm fiber-reinforced cementitious composite (FRCC), a potential eco-friendly alternative to synthetic fiber reinforcements. Despite the promise of natural fibers in enhancing the mechanical performance of composites, challenges remain in optimizing fiber distribution, fiber–composite bonding mechanism, and its balance to matrix strength. To address these challenges, this study conducted extensive experimental programs using palm fiber as reinforcement, focusing on understanding the fiber–matrix interaction, determining the pullout load–slip relationship, and modeling fiber bridging behavior. The experimental program included density calculations and scanning electron microscope (SEM) analysis to examine the surface morphology and diameter of the fibers. Single fiber pullout tests were performed under varying conditions to assess the pullout load, slip behavior, and failure modes of the palm fiber, and a relationship between the pullout load and slip with the embedded length of the palm fiber was constructed. A trilinear model was developed to describe the pullout load–slip behavior of single fibers, and a corresponding palm-FRCC bridging model was constructed using the results from these tests. Section analysis was conducted to assess the adaptability of the modeled bridging law calculations, and the analysis result of the bending moment–curvature relationship shows a good agreement with the experimental results obtained from the four-point bending test of palm-FRCC. These findings demonstrate the potential of palm fibers in improving the mechanical performance of FRCC and contribute to the broader understanding of natural fiber reinforcement in cementitious composites.
Journal Article
Effect of Fiber Sizing Levels on the Mechanical Properties of Carbon Fiber-Reinforced Thermoset Composites
by
Kopeć, Karina K.
,
Tayeb, Mohammed A.
,
Farah, Abdiaziz A.
in
Adhesive bonding
,
Analysis
,
Carbon fiber reinforced plastics
2023
Fiber sizing is one of the most important components in manufacturing composites by affecting mechanical properties, including strength and stiffness. The sizing of manmade fibers offers many advantages, such as improving fiber/matrix adhesion and bonding properties, protecting fiber surfaces from damage during the processing and weaving stages, and enhancing the surface wettability of polymer matrices. In this work, the influence of fiber sizing levels on carbon fibers’ (CFs) mechanical properties is reported at room temperature using single fiber tensile testing (Favimat+), single fiber pullout testing (SFPO), and interfacial elemental analysis by X-ray photoelectron spectroscopy (XPS). Standard modulus CFs (7 ± 0.2 μm in diameter) were sized using two commercially available Michelman sizing formulations. The average solid content for each sizing formulation was 26.3 ± 0.2% and 34.1 ± 0.2%, respectively. HEXION RIMR 135 with curing agent RIMH 137 was used as a model thermoset epoxy matrix during SFPO measurements. A predictive engineering fiber sizing methodology was also developed. Sizing amounts of 0.5, 1, and 2 wt.% on the fiber surface were achieved for both sizing formulations. For each fiber size level, 50 single-fiber tensile testing experiments and 20 single-fiber pull-out tests were conducted. The ultimate tensile strength (σult) of the carbon fibers and the interfacial shear strength (τapp) of the single fiber composite were analyzed. The sizing levels’ effect on interfacial shear stress and the O/C (Oxygen/Carbon) surface composition ratio was investigated. Based on our experimental findings, an increase of 6% in fiber performance was recorded for ultimate tensile and interfacial shear strengths. As a result, generalized fiber sizing and characterization methods were established. These developed methods can be used to characterize the strength and interfacial shear strength of manmade fibers with different sizing formulations and solid contents irrespective of the matrix, i.e., thermoset or thermoplastic.
Journal Article
Design of an explicit crack bridging constitutive model for engineered cementitious composites using polyvinyl alcohol (PVA) or polyethylene (PE) fiber
2024
This paper aims to establish an explicit crack bridging model that can link engineered cementitious composites (ECC) behavior from single fiber to single crack scale, which is great of designing ECC featuring pseudo tensile strain hardening and multiple cracks expanding by tailoring microstructure and materials selection. In this study, fiber bridging stress was divided into three parts including fiber bridging stress with no rupture, fiber debonding fracture stress, and fiber pullout fracture stress. Subsequently, the fundamental crack bridging model was emerged when fiber bridging stress with no rupture subtracted from the fiber rupture stress in debonding and pullout stage. Moreover, two-way pullout and Cook-Gordon effect were also considered to establish the complete model. It was found that the two-way pullout situation of polyvinyl alcohol (PVA) fiber has a significant influence on the crack opening width due to its slip hardening property, while the Cook-Gordon effect presents a faint crack width increment for PVA-ECC. However, the Cook-Gordon effect makes a significant contribution to the crack opening width of the composite produced by polyethylene (PE). This building intelligible model presents a better prediction for ECC through the comparison of experimental data or real average crack width in previous models, thus confirming the validity of this model.
Journal Article
Influence of Fiber Dimensions on Bridging Performance of Polyvinyl Alcohol Fiber-Reinforced Cementitious Composite (PVA-FRCC)
by
Selamawit Fthanegest Abrha
,
Toshiyuki Kanakubo
,
Madappa V. R. Sivasubramanian
in
Bend tests
,
Bending moments
,
bending test
2024
This study investigates the influence of fiber dimensions on the bridging performance of polyvinyl alcohol fiber-reinforced cementitious composite (PVA-FRCC) through an experimental and analytical program. Bending tests, bridging law calculations, and section analysis are conducted. Bending tests of notched specimens of PVA-FRCC with six different PVA fiber dimensions are performed to determine the load–deflection (LPD) and bending moment–crack mouth opening displacement (CMOD) relationships. The fiber volume fraction for all PVA-FRCCs is set to 2%. It is found that the load capacity of PVA-FRCC with a 27 μm diameter fiber is much higher than that of the other fibers, and the load capacity decreases as the fiber diameter increases. The study proposes parameters for the characteristic points of the tri-linear model for the single-fiber pullout model as functions of diameter, bond fracture energy, elastic modulus, cross-sectional area, and perimeter of the fiber. These findings provide valuable insights into the behavior of PVA-FRCC under different fiber dimensions. Bridging law calculations are conducted to obtain tensile stress–crack width relationships using the developed single-fiber pullout models. The Popovics model for the complete tensile stress–crack width relationship is adopted to obtain a better fit with the bridging law calculation, and then section analysis is conducted. The bridging law calculation results show that the maximum tensile stress decreases as the fiber diameter increases. It is also determined that most of the smaller-diameter fibers ruptured, whereas the larger fiber diameters pulled out from the matrix. The section analysis results show good agreement with the maximum bending moments obtained from the bending test.
Journal Article
Experimental, Analytical and Numerical Studies of Interfacial Bonding Properties between Silane-Coated Steel Fibres and Mortar
2021
A systematic investigation of the effects of silane coatings on steel fibre–mortar interfacial bond properties was conducted, combining pullout tests, analytical solutions, and meso-scale FE simulations. Nine silane coatings were tested, and their effects were evaluated by 30 single fibre pullout tests. They were found to increase the peak force and energy consumption up to 5.75 times and 2.48 times, respectively. Closed-form analytical solutions for pullout load, displacement, and interfacial stress distribution during the whole pullout process were derived based on a tri-linear bond-slip model, whose parameters were calibrated against the pullout tests. Finally, the calibrated bond-slip models were used to simulate the pullout tests and complex failure of multi-fibre specimens in mesoscale finite element models. Such an approach of combining pullout tests, analytical solutions, and mesoscale modelling provides a reliable way to investigate the effects of fibre–mortar interfacial properties on the mechanical behaviour of steel fibre reinforced concrete members in terms of structural strength, stiffness, ductility, and failure mechanisms.
Journal Article
Mechanical Properties of Longitudinal Basalt/Woven-Glass-Fiber-reinforced Unsaturated Polyester-Resin Hybrid Composites
2020
This work represents a study to investigate the mechanical properties of longitudinal basalt/woven-glass-fiber-reinforced unsaturated polyester-resin hybrid composites. The hybridization of basalt and glass fiber enhanced the mechanical properties of hybrid composites. The unsaturated polyester resin (UP), basalt (B) and glass fibers (GF) were fabricated using the hand lay-up method in six formulations (UP, GF, B7.5/G22.5, B15/G15, B22.5/G7.5 and B) to produce the composites, respectively. This study showed that the addition of basalt to glass-fiber-reinforced unsaturated polyester resin increased its density, tensile and flexural properties. The tensile strength of the B22.5/G7.5 hybrid composites increased by 213.92 MPa compared to neat UP, which was 8.14 MPa. Scanning electron microscopy analysis was used to observe the fracture mode and fiber pullout of the hybrid composites.
Journal Article
Optimization of Drilling Parameters of GFRP with Liquid Silicone Rubber and Fine Silica Powder by Taguchi Approach
by
Siddeshkumar, N. G.
,
Shivashankar, G. S.
,
Kulkarni, Giridhar S.
in
Chemistry
,
Chemistry and Materials Science
,
Composite materials
2020
This paper deals with the study of effect of machining parameters on burr height and fibre pullout while drilling on hybrid Fibre Reinforced Polymer (FRP) composite materials. Hybrid composite materials composed of Glass Fibre Reinforced Polymer (GFRP) with liquid silicone rubber and fine silica powder. Laminates of hybrid GFRP are prepared at process parameters like pressure of 100 kgf, temperature of 50 °C and time of 40 min by compression molding technique. The main objective of this study the influence of fiber volume fraction with liquid silicone rubber and fine silica powder on the burr height and fibre pullout in drilling of hybrid FRP composite. The effect of drilling parameters such as cutting speed, feed rate, drill point angle and tool material on drilling hybrid GFRP is studied and optimized by making use of Taguchi design and ANOVA analysis. The results are analyzed by making use of L9 Orthogonal Array (OA) and signal to noise ratio (S/N ratio). The obtained result shows that, very small burr height (0.08 mm and 0.07 mm) was observed in both the materials having matrix weight ratio 60:40 and 50:50. It is almost same burr height in both the materials. Whereas small fibre pullout of 1.01 mm is noticed in material having matrix weight ratio 50:50 than fibre pullout of 2.9 mm in material having matrix weight ratio 60:40. The results are validated by conducting confirmation test.
Journal Article
Influence of Sodium Hydroxide (NaOH) Treatment on Mechanical Properties and Morphological Behaviour of Phoenix sp. Fiber/Epoxy Composites
by
Hariharan, V
,
Rajeshkumar, G
,
Indran, S
in
Caustic soda
,
Cellulose fibers
,
Composite materials
2021
The purpose of this present research work is to assess the static and dynamic mechanical properties of an eco-friendly natural cellulosic fiber (Phoenix sp.) reinforced epoxy composites. The cellulosic fiber was isolated from Phoenix sp. plant petioles, and it was treated with various concentrations of sodium hydroxide (5, 10, 15 and 20%) solution. The impact of treatments on tensile, flexural, impact and dynamic mechanical properties of the fabricated composite was explored and optimized. Moreover, the mechanically tested samples were subjected to morphological analysis to predict the failure mechanisms. The outcomes revealed that the treated fibers had good interfacial bonding with epoxy matrix (confirmed through morphological and single fiber pull-out studies), reduced the failure mechanisms (fiber pull-outs and fiber debonding) and exhibited good static and dynamic mechanical properties of composite materials than untreated fiber composites. It is concluded that composites fabricated using 15% of sodium hydroxide treated fiber could be used to manufacture automotive panels and other lightweight industrial products.
Journal Article
Effect of different overlap lengths and environmental factors on the mechanical properties of GFRP-al adhesive-riveted hybrid joints
by
Zhang, Han
,
Lin, Wenzheng
,
Hu, Hanjie
in
Failure load
,
Fiber pullout
,
Glass fiber reinforced plastics
2025
This paper focuses on the adhesive-riveted hybrid joint structure and explores how varying overlap lengths and environmental conditions influence the joint’s mechanical properties. The results indicate that increasing the overlap length progressively enhances the joint’s strength and resistance to impact. In addition, the study explores the changes in joint performance under different environmental conditions. It was found that the impact of a 40°C/75% RH humid environment is significant, with the failure load decreasing by approximately 7.65%. In contrast, under a 70°C high-temperature environment, the joint’s load-bearing capacity decreases significantly by about 30.02%. Finally, through microscopic analysis, it was observed that the humid and high-temperature environments accelerate the aging of the adhesive, and the phenomena of GFRP fiber pullout and fracture become more pronounced.
Journal Article
Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM
by
Lu, Zhenghui
,
Zhao, Liping
,
Jin, Xiaoliang
in
Abrasive wear
,
Accuracy
,
Advanced manufacturing technologies
2024
In the machining of carbon fiber reinforced polymer (CFRP) components, tool wear grows rapidly due to the highly abrasive property of carbon fibers, resulting in unfavorable part quality such as delamination and fiber pullout. The tool wear progression, cutting forces, and their quantitative relationship are highly dependent on the fiber orientation. This paper predicts the tool wear progression based on cutting force signals in milling unidirectional (UD) CFRP with the fiber orientation effect. A deep learning model based on multi-channel 1D convolutional neural network (CNN) and long short-term memory (LSTM) is used, with the benefit of considering the unique force variation features due to the CFRP anisotropy. Milling experiments with the fiber orientations of 0°, 45°, 90°, and 135° under different feed rates and cutting speeds were performed. The multi-channel 1D CNN obtains the force signal features from individual univariate time series, and combines the time-series information from all channels as the final feature representation in the final layer of the network. The LSTM layer extracts the temporal and spatial characteristics of the dynamic force signals. Moving window and distribution analysis techniques are applied to the predicted tool wear results to reduce the effect of force signal disturbance caused by CFRP inhomogeneity. The model achieves the tool wear prediction with R2 of 95.04% and MAE of 2.94 μm. Moreover, benefiting from its high feature representation capacity, the proposed method shows higher prediction accuracy for different cutting conditions with more than 25% improvement compared to other commonly used data-driven methods, including 1DCNN, 2DCNN, LSTM, BPNN, and SVR.
Journal Article