Modulus Of Fibers Research Articles

Microstructures and properties of polymer-derived hexagonal boron nitride fibers with initial gradient oxygen contents

Oxygen plays a crucial role in the synthesis of boron nitride (BN) and the preparation of BN ceramics. The effects of oxygen content on the microstructure and properties of BN fibers treated at 1600 °C have not been studied yet. In this work, polymer-derived BN fibers are cured at 300 °C under oxygen and pyrolyzed at 600 °C, 700 °C and 800 °C under ammonia as the pre-heated BN fibers. Then, these pre-heated BN fibers are treated at 1600 °C under nitrogen as the final BN fibers. The compositions and microstructures of the pre-heated and final BN fibers are investigated. As the pre-heated temperature increases, the oxygen contents of the pre-heated BN fibers decrease to 24 wt%, 17 wt% and 5 wt%, respectively. The structures of the pre-heated BN fibers transform from amorphous BN to turbostratic BN. The oxygen in the pre-heated BN fiber volatilizes as boron oxide during treatment at 1600 °C, promoting the formation and growth of h-BN in the final BN fiber, with the maximum grain size reaching 74 × 20 nm (La × Lc). As the grain size of the final BN fiber increases, the Young's modulus, density and oxidation resistance level of the BN fiber improve, and the dielectric properties decrease. The final BN fiber that underwent pre-heating at 700 °C has the best comprehensive properties, with a tensile strength of 1.11 GPa and a Young's modulus of 265 GPa. This study researches the relationship between composition, structure and performance, and provides a scientific basis for the preparation process of BN fibers.

Tensile properties and morphological insights into chemically modified fibres of Pseudoxytenanthera bamboo species as sustainable reinforcements in composites

This study evaluated the tensile properties of fibres from Pseudoxytenanthera ritcheyi and P. stocksii, with reference to the more commonly used Bambusa balcooa, in order to determine their viability as reinforcements in structural composite materials. Tensile tests were conducted on individual fibres under three distinct moisture conditions: ambient conditions, desiccated (fully dry) conditions, and saturated conditions for both untreated and chemically treated fibres. The investigation focused on comparing the axial tensile modulus and ultimate strength of bamboo fibres with varying gauge lengths. Notably, fracture morphology analysis using scanning electron microscopy (SEM) allowed a comprehensive correlation between natural fibre characteristics and their mechanical properties. A water absorption study was also conducted on these fibres. Additionally, thermogravimetric analysis was performed to assess the thermal stability of the fibres. The results indicate that Pseudoxytenanthera species exhibit promising potential for the development of high-performance, sustainable materials within the realm of composite materials. This research contributes to expanding the understanding of bamboo fibres and their suitability as reinforcements in structural composites, thus promoting advances in the field of composite material engineering.

Machine learning in optimization of nonwoven fabric bending rigidity in spunlace production line

Spunlace nonwoven fabrics have been extensively employed in different applications such as medical, hygienic, and industrial due to their drapeability, soft handle, low cost, and uniform appearance. To manufacture a spunlace nonwoven fabric with desirable properties, production parameters play an important role. Moreover, the relationship between the primary response and input parameter and the relationship between the secondary response and primary responses of spunlace nonwoven fabric were modeled via an artificial neural network (ANN). Furthermore, a multi-objective optimization via genetic algorithm (GA) to find a combination of production parameters to fabricate a sample with the highest bending rigidity and lowest basis weight was carried out. The results of optimization showed that the cost value of the best sample is 0.373. The optimized set of production factors were Young’s modulus of fiber of 0.4195 GPa, the line speed of 53.91 m/min, the average pressure of water jet 42.43 bar, and the feed rate of 219.67 kg/h, which resulted in bending rigidity of 1.43 mN {mathrm{cm}}^{2}/cm and basis weight of 37.5 gsm. In terms of advancing the textile industry, it is hoped that this work provides insight into engineering the final properties of spunlace nonwoven fabric via the implementation of machine learning.

Effects of lithium insertion induced swelling of a structural battery negative electrode

Structural battery composites fall under the category multifunctional materials with the ability to simultaneously store electrical energy and carry mechanical load. While functioning as the negative electrode, the carbon fibres also act as mechanical reinforcement. Lithium ion insertion in the carbon fibres is accompanied by a large radial expansion of 6.6 % and an axial expansion of 0.85 % of the fibres. Furthermore, the elastic moduli of the carbon fibres are significantly affected by the insertion of lithium. Current structural battery modelling approaches do not consider these features. In this paper, we investigate the effect of lithium insertion in carbon fibres on the structural electrode mechanical properties by developing a computational model considering finite strains and lithium concentration dependent fibre moduli. The computational model enables representation of morphological change, whereby, features such as internal stress state, homogenized tangent stiffness and effective expansion of the electrode caused by carbon fibre lithiation can be predicted. The adopted finite strain formulation allows for consistent consideration of measurement data at varying state of lithiation. The significance of adopting the finite strain formulation is also shown numerically. Finally, by implementing a novel approach to homogenized stress-free expansion, it is shown that the computed expansion of the structural electrode follows a similar trend to what is observed from experiments.

Experimental research on mechanical properties and elastic modulus of glass fiber reinforced concrete

By adding ordinary glass fiber and alkali resistant glass fiber into concrete, the development of axial compressive strength, axial tensile strength and elastic modulus of concrete are studied. The results show that with the increase of glass fiber, the axial compressive strength increases first and then decreases; the axial tensile strength increases; the elastic modulus decreases. The results show that glass fiber can improve the strength of concrete, and reduce the elastic modulus.

Hexagonal crystalline nanofillers reinforced composite carbon nanofibers with optimized crystal structure and improved mechanical properties

The mechanical properties of carbon nanofibers (CNFs) are always restricted by their disorganized crystal structures. Herein, this paper utilizes two typical hexagonal crystalline flake materials, nanoscale flake graphite (NG) and hexagonal nitride boron (BN), as nanofillers to optimize the crystal domains of CNFs and achieves enhancement in fiber strength, modulus and toughness. For this purpose, in situ polymerization technique is developed for the rapid and uniform mixing of nanofillers with polyacrylonitrile (PAN) precursors of CNFs. The nanofillers are exfoliated in this process and wrapped with PAN to prevent potential agglomeration. The obtained core-shell nanocomposites can be produced into composite CNFs via electrospinning, stabilization and carbonization. Based on the attraction effect, the dispersed nanofillers can organize PAN molecular chains into oriented crystalline fibrils in as-spun nanofibers and accelerate their transformation to more ladder structures in stabilized nanofibers. On this basis, NG is shown to act as the templating and nucleating agent to promote the formation, growth and compact stacking of graphitic planes in CNFs. BN also improves fiber crystallinity, while its limited templating effect leads to looser and finer crystal domains. As a result, NG-doped CNFs have significantly improved strength and modulus, and BN-doped CNFs possess simultaneously enhanced strength and toughness.

A High-Generalizability Machine Learning Framework for Analyzing the Homogenized Properties of Short Fiber-Reinforced Polymer Composites.

This study aims to develop a high-generalizability machine learning framework for predicting the homogenized mechanical properties of short fiber-reinforced polymer composites. The ensemble machine learning model (EML) employs a stacking algorithm using three base models of Extra Trees (ET), eXtreme Gradient Boosting machine (XGBoost), and Light Gradient Boosting machine (LGBM). A micromechanical model of a two-step homogenization algorithm is adopted and verified as an effective approach to composite modeling with randomly distributed fibers, which is integrated with finite element simulations for providing a high-quality ground-truth dataset. The model performance is thoroughly assessed for its accuracy, efficiency, interpretability, and generalizability. The results suggest that: (1) the EML model outperforms the base members on prediction accuracy, achieving R2 values of 0.988 and 0.952 on the train and test datasets, respectively; (2) the SHapley Additive exPlanations (SHAP) analysis identifies the Young's modulus of matrix, fiber, and fiber content as the top three factors influencing the homogenized properties, whereas the anisotropy is predominantly determined by the fiber orientations; (3) the EML model showcases good generalization capability on experimental data, and it has been shown to be more effective than high-fidelity computational models by significantly lowering computational costs while maintaining high accuracy.

Machine learning based inverse framework for predicting the transverse and shear modulus of carbon fiber

Evaluating the transverse and shear modulus of carbon fibers experimentally is challenging and are usually obtained by an inverse approach using a micromechanical model. This paper presents an inverse approach for predicting the fiber properties from experimentally evaluated properties of the unidirectional (UD) lamina, using a machine learning (ML) based surrogate model. The ML framework is based on Gaussian process regression (GPR), which also provides a measure of uncertainty in the predictions. The ML model is trained using synthetic data generated using Finite Element (FE) homogenization considering different fiber and matrix properties, volume fractions, and fiber distribution. The proposed inverse framework is demonstrated to predict the elastic properties of polyacrylonitrile (PAN)-based fibers used in carbon-epoxy composites that have significant variations (low to high modulus) in its properties (T300-M60J). The fiber properties predicted using the GPR surrogate shows good agreement with the values reported in the literature, with a difference of less than 1.5%. The computational framework is further extended to predict the elastic properties of the woven fabric laminate using multi-scale homogenization. In summary, the results show that the GPR-based surrogate model offers an accurate and computationally efficient alternative to FE-based forward model for predicting the properties of the fiber.

Antimicrobial property of functional viscose fibre by using mint extract

The use of cellulosic fibres treated with natural extracts can kill bacteria. Viscose is a regenerated cellulosic fibre with excellent biodegradability. The use of mint extract makes viscose a functional fibre, which gives beneficial results and can be used as an antimicrobial textile. The results clearly showed that the increasing ratio of the mint extract also increased the bacteriostatic ratio so that the antimicrobial property against E. Coli and S. Aureus for 100% viscose fabric is 97% and 94%, respectively. The bacteriostatic ratio against 50/50 cotton/functional viscose is proportionally lower, i.e., 85% and 81% against E. Coli and S. Aureus. The different number of washings affected the antimicrobial property of the fabrics in such a way that: the fabric with 100% functional viscose indicated a reduction of 14% for E. Coli, whereas the antimicrobial property decreased by 15% against S. Aureus after 5 to 20 washes as compared to the fabric with the blend 50/50. All the samples exhibited antimicrobial property more than 60% after 20 washes. The breaking strength of the functional viscose fibre decreased by about 12.9% in dry form and 14% in wet state compared with standard viscose fibre. However, the elongation of functional viscose fibre improved by 6.4% in dry form and 3.7% in the wet state, resulting in the low modulus of functional viscose fibre. The mosquito repellency rate ranges from 70–90% against 100% functional viscose fabrics, whereas 60–80% against the fabric is made up of a 50/50 blend for 5 to 20 washes. The overall results show acceptable behaviour against mosquito repellency. A simple approach was applied to develop antimicrobial textile products with cost-effectiveness and fruitful results.

Enhancing Mechanical Behavior and Energy Dissipation in Fiber-Reinforced Polymers through Shape Memory Alloy Integration: A Numerical Study on SMA-FRP Composites under Cyclic Tensile Loading.

Conventional fiber-reinforced polymers (FRPs) have a relatively linear stress-strain behavior up to the failure point. Therefore, they show brittle behavior until the failure point. Shape memory alloys, in addition to having high ductility and good energy dissipation capability, are highly resistant to corrosion and show good performance against fatigue. Therefore, using the SMA fibers in the production of FRPs can be a suitable solution to solve the problem of the brittle behavior of conventional FRPs. SMA fibers can be integrated with a polymeric matrix with or without conventional fibers and create a new material called SMA-FRP. This study investigates the effect of using different volume fractions of conventional fibers (carbon, glass, and aramid) and SMA fibers (NiTi) in the super-elastic phase and the effect of the initial strain of SMA fibers on the behavior of SMA-FRP composites under cyclic tensile loading. Specimens are designed to reach a target elastic modulus and are modeled using OpenSees (v. 3.5.0) finite element software. Analyzing the results shows that in the SMA-FRP composites that are designed to reach a target elastic modulus, with an increase in the volume fraction of SMA fibers, the maximum stress, residual strain, and strain hardening ratio are reduced, and the ability to energy dissipation capability and residual stress increases. It was also observed that increasing the percentage of the initial strain of SMA fibers increases the maximum stress and energy dissipation capability and reduces the residual strain and yield stress. In the investigation of the effect of the type of conventional fibers used in the construction of composites, it was found that the use of fibers that have a larger failure strain increases the maximum stress and energy dissipation capability of the composite and reduces the strain hardening ratio. In addition, increasing the elastic modulus of conventional fibers increases the residual strain and residual stress of the composites.

Improvement of interleaving Aramid pulp micro-fibers on compressive strengths of carbon fiber reinforced polymers with and without impact

Compressive strengths and elastic moduli of Carbon Fiber Reinforced Polymer (CFRP) composites can be noticeably improved by multiple ultra-thin interlays with non-woven Aramid Pulp (AP) micro/nano-fibers. 10-ply CFRP specimens with 0, 2, 4, 6, 8 g/m2 AP were tested under uniaxial compression. Those flexible AP fibers, filling the resin-rich regions and further constructing the fiber bridging at the ply interfaces, can effectively suppress delamination growth and lead to very good improvements both in the compressive strength and the elastic modulus. The CFRP specimen with an optimum interlay thickness has a distinct shear failure mode instead of the typical delamination cracking along the direction of continuous carbon fibers. Compressive Strengths After Impacts (CAI) of 12.35 J were also measured, up to 90% improvement in CAI has been observed. It is concluded those ultra-thin interlays of non-woven AP micro/nano-fibers are beneficial to design and manufacture “high strength” CFRP composites.

Mechanical properties of multi-scale mono/hybrid non-metallic fiber-reinforced ultra-high performance seawater sea-sand concrete

Ultra-high performance seawater sea-sand concrete (UHP-SSC) is a promising construction material with excellent mechanical and durability properties, addressing the deficiency of materials like fresh water and river sand.Nevertheless, the steel fibers that reinforce UHPC are unsuitable for UHP-SSC, resulting from the corrosion problem. In this regard, this study investigated the impacts of multi-scale (micro and macro) mono and hybrid non-metallic fiber reinforcements on the mechanical properties of UHP-SSC. The experiments, including flowability, compression, and third-point bending, were carried out. The surface morphologies and microstructures of UHP-SSC were characterized by scanning electron microscopy and low-field nuclear magnetic resonance. The mono-fiber comprised three micro-fiber types: polyvinyl alcohol fiber (PVAF), carbon fiber (cF), and basalt fiber (bF); along with two macro-fiber types: polypropylene fiber (PPF) and basalt fiber reinforced polymer fiber (BF), while the hybrid fiber reinforcement was composed of different hybridization of foregoing fibers. The results indicated that the compressive and flexural properties of plain UHP-SSC were enhanced by adding micro- or macro-fiber. The enhancement is positively related to the elastic modulus of fibers. Notably, utilizing macro-fiber can effectively improve the flexural toughness, particularly for BF, which induces strong strain-hardening behavior. Microscopic and microstructure observations confirmed the strength and toughness evolution and illustrated the relevant mechanism. In the case of fiber hybridization, the combination of micro- and macro-fiber has a positive synergy effect, and the mixture with bF and BF exhibits the utmost synergistic influence when the volume of bF is controlled within 0.4 vol%.

Physics-informed machine learning with high-throughput design module for evaluating rupture life and guiding design of oxide/oxide ceramic matrix composites

In this paper, a unified physics-informed machine learning (PIML) model is proposed for the accurate prediction of the creep rupture life of oxide/oxide ceramic matrix composites (CMCs) by incorporating prior physical information and microstructure features. The collected dataset undergoes missing value imputation and standardization methods for processing. Key feature parameters that influence rupture life are identified through global sensitivity analysis. Furthermore, a high-throughput design module is developed to explore optimal composition under specific creep conditions, providing design guidelines for new materials in oxide/oxide CMCs. This study demonstrates that the predicted results consistently fall within the ±3 error bands. Improved life expectancy is attained with fiber modulus (220–290 GPa) and matrix modulus (>310 GPa). The transformation from expensive creep testing to low-cost exploration of modulus and proportional limit is achieved, offering theoretical support and analytical methods for the design of CMC components and the development of new materials for high-temperature applications.

Construction of Polar Functional Groups on the Surface of a High-Modulus Carbon Fiber and Its Effect on the Interfacial Properties of Composites.

The interfacial bonding between carbon fibers and the resin matrix affects the mechanical properties of carbon fibers, and the increase of modulus brings a challenge to the interfacial properties of carbon fibers. The traditional anodic oxidation with ammonium bicarbonate as an electrolyte has a limited effect on the surface treatment for high-modulus carbon fibers. In this paper, anodic oxidation with an acidic electrolyte is used to treat high-modulus carbon fibers. The influence mechanism of a graphitized structure on the anodizing reaction of the carbon fiber surface was studied. Raman spectroscopy, XPS, scanning electron microscopy, dynamic contact angle, and micro-debonding were used to characterize the effect of surface treatment and its influence on interfacial properties. The results show that with a certain concentration of sulfuric acid as an electrolyte, the oxidation of the carbon fiber surface with high modulus occurs more on the graphite boundary defects. Carbonylation occurs mainly in carbon fibers with high modulus. The surface of the carbon fiber with a relatively low modulus is mainly hydroxylated and carboxylated. The surface energy and interfacial properties of high-modulus carbon fibers were improved effectively by anodic oxidation with sulfuric acid as an electrolyte. Under the condition that the mechanical properties of carbon fibers are not decreased, the surface energy of high-modulus carbon fibers with 352 GPa increases from 36.17 to 45.41 mN/m, and the interfacial shear strength (IFSS) with the epoxy resin increases by 80.8% from 34.9 to 63.1 MPa. When the fiber modulus is 455 GPa, the surface energy of the carbon fiber increases from 32.32 to 43.73 mN/m, and IFSS increases by 253.4% from 11.8 to 41.7 MPa.

Degradation of the Three-Phase Boundary Zone of Carbon Fiber Anodes in an Electrochemical System.

The electrochemical recycling nanoarchitectonics of graphene oxide from carbon fiber reinforced polymers (CFRPs) is a promising approach due to its economic and environmental benefits. However, the rapid degradation of the CFRP anode during the recycling process reduces its overall efficiency. Although previous studies have investigated the electrochemical oxidation of carbon fibers (CFs) and bonding of CFs to the matrix, few researchers have explicitly studied the electrochemical activity of CFs and the possible fracture caused by strong electrochemical reactions. To address this gap, this study investigates the degradation mechanism of CF anodes by analyzing changes in overall mechanical properties, hardness, elastic modulus, functional groups, and elemental composition of individual fibers. The experimental results demonstrate that the three-phase boundary region experiences the most severe degradation, primarily due to the number of oxygen-containing functional groups, which is the most important factor affecting the degree of degradation. This continuous decrease in the hardness and elastic modulus of individual fibers eventually leads to the fracture of CF anodes.

Research on high-temperature rheological performance of fiber reinforced high-viscosity asphalt mastics

High-temperature performance of high-viscosity asphalt mastic containing fiber additive were studied by means of rheological analysis. The effects of two types of asphalt, two types of fillers, and two types of fibers with three fiber contents on the high-temperature rheological properties of asphalt mastic were evaluated by temperature sweep test, multiple stress creep recovery test, and frequency sweep test using a dynamic shear rheometer. The master curve of fiber reinforced high-viscosity asphalt mastic and phase angle were constructed using 2S2P1D model. The results show that the nature of asphalt plays a leading role in improving the resistance to deformation of asphalt mastic at high temperature, compared with the type of mineral powder. For the short-term aging asphalt mastic, with temperature increasing, the unrecoverable creep compliance gradually increases and the differences between asphalt mastic with different fiber contents also become greater. The creep recovery rate of mastic with basalt fiber is much higher than that of polyester fiber under the same conditions. For long-term aging asphalt mastic, compared with increasing fiber content, the fiber type has more significant influence on the storage modulus. 2S2P1D model can well fit the master curve of the complex modulus of fiber reinforced high-viscosity asphalt mastic, but poorly fit with the phase angle. From master curves, it finds that the enhancement of the fiber to mastic is prominent in the low frequency which is corresponding to the extreme high-temperature condition.

Extraction and characterization of novel lignocellulosic fibers from Centaurea hyalolepis plant as a potential reinforcement for composite materials

The aim of this investigation is to evaluate the use of new lignocellulosic fiber extracted from Centaurea hyalolepis plant as a potential reinforcement for light-weight composite applications. In this study, anatomical structure and morphological surface of Centaurea hyalolepis fiber were conducted. The physical-chemical, thermal, crystalline,mechanical, characteristics of extracted fibers were also examined using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR), thermogravimetric analysis (TGA), X-ray diffraction (XRD) and tensile test. ATR-FTIR analysis confirmed the existence of the main components of lignocellulosic fiber (lignin, cellulose, and hemicellulose). XRD revealed the presence of cellulose with a crystallinity index of 57.93%.By densimetry, the density of Centaurea hyalolepis was determined as 1.13 g/cm3. The Centaurea hyalolepis was found to be thermally stable up to 271°C. The kinetic activation energy was determined as 115.943 kJ/mol. Tensile tests revealed that the mean tensile strength and Young’s modulus of Centaurea hyalolepis fiber were about 372,5 MPa and 9.036 GPa respectively. Because of the dispersion in the experimental tensile results, the Weibull statistical analysis with two parameters was carried out. Regard these findings, the Centaurea hyalolepis fibers can be a suitable candidate for low density polymeric composites reinforcement.

A study to characterize the mechanical properties and material constitution of adult descending thoracic aorta based on uniaxial tensile test and digital image correlation.

The mechanical properties and material constitution of the aorta are important in forensic science and clinical medicine. Existing studies on the material constitution of the aorta do not satisfy the practical requirements of forensic and clinical medicine, as the reported failure stress and failure strain values for human aortic materials have a high dispersion. In this study, descending thoracic aortas were obtained from 50 cadavers (dead within 24h) free of thoracic aortic disease, aged from 27 to 86 years old, which were divided into six age groups. The descending thoracic aorta was divided into proximal and distal segments. A customized 4-mm cutter was used to punch a circumferential and an axial dog-bone-shaped specimen from each segment; the aortic ostia and calcification were avoided. Instron 8,874 and digital image correlation were used to perform a uniaxial tensile test on each sample. Four samples from each descending thoracic aorta produced ideal stress-strain curves. All parameter-fitting regressions from the selected mathematical model converged, and the best-fit parameters of each sample were obtained. The elastic modulus of collagen fiber, failure stress, and the strain showed a decreasing trend with age, while the elastic modulus of elastic fiber showed an increasing trend with age. The elastic modulus of collagen fiber, failure stress, and strain of circumferential tensile were all greater than those for axial tensile. There was no statistical difference in model parameters and physiological moduli between the proximal and distal segments. The failure stress and strain in the proximal circumferential, distal circumferential, and distal axial tensile were all greater for the male group than for the female group. Finally, the Fung-type hyperelastic constitutive equations were fitted for the different segments in different age groups.

The regulation of tendon stem cell distribution, morphology, and gene expression by the modulus of microfibers

The mechanical properties of a stem cell culture substrate significantly impact cell adhesion, survival, migration, proliferation, and differentiation in vitro. A major challenge in engineering artificial stem cell substrate is to properly identify the relevant physical features of native stem cell niches, which are likely different for each stem cell type. The behavior of tendon stem cells has potentially significant implications for tendon repair. Here, microfiber scaffolds with various modulus of elasticity are fabricated by near-field electrospinning, and their regulating effects on the in vitro behavior of tendon stem cells (TSCs) are discussed in this study. The number of pseudopodia shows a biphasic relationship with the modulus of scaffold. The proliferation, polarization ratio and alignment degree along the fibers of the TSCs increase with the increase of fiber modulus. TSCs cultured on the scaffold with moderate modulus (1429 MPa) show the upregulation of tendon-specific genes (Col-I, Tnmd, SCX and TNCF). These microfiber scaffolds provide great opportunities to modulate TSCs behavior at the micrometer scales. In conclusion, this study provides an instructive mechanical microenvironment for TSCs behaviors and may lead to the development of desirable engineered artificial stem cell substrate for tendon healing.

Performance Evaluation of Reinforced Asphalt Using Six Organic and Inorganic Fibers

This paper aims to evaluate the performance of asphalt individually reinforced by six types of fibers, including three organic and three inorganic fibers, to study the interface between fibers and asphalt, and to analyze their relationships. Specifically, the chemical and physical interaction between fiber and asphalt was analyzed using FTIR testing. The interface pullout behavior of the fibers from asphalt was analyzed using a fiber-asphalt pullout (FAP) test. The high-temperature performance of the fiber-reinforced asphalt using dynamic shear rheology (DSR) testing. The relationship between the performance index and interface index was analyzed using linear and grey correlation methods. Meanwhile, the interface micromorphology was observed using SEM testing. The results showed that the inorganic fibers and organic fibers mainly physically interacted with the asphalt. The interface bonding ability between BF-A and asphalt was the largest, followed by BF-B, GF, PEF, PAF-A, and PAF-B. The organic fibers decreased the phase angle and increased the complex modulus and rutting factor better than the inorganic fibers. The performance index G* and G*/sinδ are positively correlated with the interface pullout parameters. The influence of the interface pullout parameters on the performance index G* was the biggest, followed by the fiber modulus, fiber volume content, and fiber density.