Have a personal or library account? Click to login
Effect of Waste Jute Fibers on the Mechanical Properties of Stone Matrix Asphalt Mixtures Cover

Effect of Waste Jute Fibers on the Mechanical Properties of Stone Matrix Asphalt Mixtures

Open Access
|Mar 2026

Figures & Tables

Figure 1:

Waste jute fiber: (a) WJF Utilized in Packaging, (b) WJF after Cutting, (c) WJF at required

Figure 2:

Aggregate gradation

Figure 3:

Preparation of Marshall Specimens: (a) Mixing Aggregate with WJF, (b) Adding Asphalt to the Mix, (c) Adding Mix into the Mold (d) Marshall Compactor with mix, (e) Marshall Specimens

Figure 4:

Marshall testing: (a) Specimens in water path at 60 °C, (b) Marshall Stability and Flow Test

Figure 5:

Drain down test: (a) The Wire basket and sample in the oven, (b) The drained out materials

Figure 6:

Indirect tensile strength testing: (a) ITS Specimens, (b) Specimens in water path at 25°C, (c) ITS Testing

Figure 7:

Compressive strength test: (a) Specimens 4*4 inch, (b) Specimens in water path at 25°C, (c) Specimen Testing

Figure 8:

Mechanical and volumetric properties of SMA mixtures (WJF =5mm length): (a) Stability, (b) Flow, (c) Bulk density, (d) AV%, (e) VMA%, (f) VFA %

Figure 9:

Mechanical and volumetric properties of SMA mixtures (WJF =10mm length): (a) Stability, (b) Flow, (c) Bulk density, (d) AV %,(e) VMA%, (f) VFA %

Figure 10:

Mechanical and volumetric properties of SMA mixtures (WJF =15mm length): (a) Stability, (b) Flow, (c) Bulk density, (d) AV %, (e) VMA%, (f) VFA %

Figure 11:

The effect of WJF on OAC

Figure 12:

The effect of WJF on Marshall stability

Figure 13:

The effect of WJF on the Marshall flow

Figure 14:

The effect of WJF on bulk density

Figure 15:

The effect of WJF on VMA%

Figure 16:

The effect of WJF on VFA

Figure 17:

Effect of WJF on drain down

Figure 18:

Effect of WJF on ITS

Figure 19:

Effect of WJF on compressive strength

Figure 20:

Microscope Images of the SMA mixtures reinforced with WJF at three fiber lengths 5 mm, 10 mm and 15 mm.

Physical Characteristics of Coarse Aggregate

TestASTM Designation No.ResultsSCRB Specification
Los Angeles Abrasion, [%](C131, 2014)16.330 Max.
Flat and Elongated, [%](D4791, 2023)1.8……
Absorption, [%](C127, 2015)0.562……
Soundness, [%](C88, 2013)3.87……
Bulk Specific Gravity(C127, 2015)2.611……

Physical Characteristics of Fine Aggregate

TestASTM Designation No.Results
Liquid Limit, [%](D4318, 2017)6.4
Soundness, [%](C88, 2013)1.94
Absorption, [%](C128, 2015)0.724
Bulk specific gravity(C128, 2015)2.651

Characteristics of WJF

PropertyUnitJute fiber
Density[g/cm3]1.41
Diameter[mm]1
Yield Force[N]41.5
Elong at Yield[%]4.95
Tensile Strength[MPa]52.8
Max. Force[N]41.5
Elong at Max.[%]4.95
Elongation[%]19.67

The mechanical and volumetric properties of the three trial aggregate gradations for SMA_

PropertyTrial 1 (fine gradation)Trial 2 (mid-gradation)Trial 3 (coarse gradation)Requirement AASHTO M 325)
Optimum asphalt content%6.186.246.336% min
Stability [kN]10.411.429.48-
Flow [mm]3.343.513.63-
Bulk density [g/cm3]2.3462.3272.296-
Max. specific gravity2.4442.4242.391-
Air voids [%]4%4%4%4%
VMA [%]16.4417.1818.3617% min
VFA[%]75.6076.6478.14
VCAMIX [%]35.136.4438.36<VCADRC
VCADRC [%]40.5341.8442.37-

Regression Coefficients of build-up model (30% of dataset)

Model N=14Standardized Coefficientst [-]P- value [-]R Square [-]Skewness [-]Kurtosis [-]
Beta [-]
(Constant) 75.3220.0000.918−0.209−1.262
length−0.372−4.2560.001
WT.FI0.8299.5010.000

Table 10: ANOVA test for validity model (100% of dataset)

ANOVA
ModelSum of Squares [-]df [-]Mean Square [-]F [-]P- value [-]
Regression0.17220.086176.5990.000
Residual0.020420.000
Total0.19244

Optimum asphalt content for each mixture

Length5 [mm]10 [mm]15 [mm]
Dosage
0 [%]5.90%
0.10 [%]6.09%6.12%6.13%
0.30 [%]6.25%6.30%6.33%
0.50 [%]6.45%6.51%6.54%
0.70 [%]6.64%6.70%6.75%

ANOVA test for building the model (70% of the dataset)

ANOVA
ModelSum of Squares [-]df [-]Mean Square [-]F [-]P- value [-]
Regression0.11520.058116.7770.000
Residual0.014280.000
Total0.12930

Regression Coefficients of build-up model (100% of dataset)

Model N=45Standardized Coefficientst [-]P-value [-]R Square [-]Skewness [-]Kurtosis [-]
Beta [-]
(Constant) 140.8220.0000.894−0.237−1.117
length−0.453−8.9960.000
WT.FI0.83016.5010.000

Regression Coefficients of build-up model (70% of the dataset)

Model N=14Standardized CoefficientsT [-]P- value [-]R Square [-]Skewness [-]Kurtosis [-]
Beta [-]
(Constant) 114.9370.0000.893−0.203−1.074
length−0.454−7.3420.000
WT.FI0.82713.3810.000

ANOVA test for validity model (30% of dataset)

ANOVA
ModelSum of Squares [-]df [-]Mean Square [-]F [-]P- value [-]
Regression0.05920.02961.6210.000
Residual0.005110.000
Total0.06413

Physical Characteristics of Asphalt Cement

TestUnitASTMResultSCRB
Penetration (25°C, 100 g, 5 sec)0.1 mmD54440–50
Softening Point (Ring & Ball)°CD3654……
Specific Gravity @ 25°C……D701.04……
Ductility (25°C, 5 cm/min)cmD113119>100
Flash Point (Clevel and Open Cup)°CD92314>232
Kinematics viscosity, at 135°CcStD2170453≥400
Residue from Thin-Film-Oven-Test, D1754
Retained Penetration (% of original)%D580˃ 55
Ductility (25°C, 5 cm/min)cmD11369˃ 25
DOI: https://doi.org/10.2478/cee-2026-0004 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835
Language: English
Page range: 40 - 59
Submitted on: Jun 13, 2025
|
Accepted on: Jul 9, 2025
|
Published on: Mar 24, 2026
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Aeshah A. Ahmed, Mohammed Q. Ismael, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.