Global Peer-Reviewed Platform
Serving Researchers Since 2012

Analysis of Cracks in Rigid and Flexible Pavements on Road Failures using Crack Investigation Mechanism

DOI : 10.17577/IJERTV14IS120187
Download Full-Text PDF Cite this Publication

Text Only Version

Analysis of Cracks in Rigid and Flexible Pavements on Road Failures using Crack Investigation Mechanism

Egbebike, M.O.

Department of Civil Engineering, Nnamdi Azikiwe University, Awka, Nigeria; and Shell Center of Excellence for Environmental Management and Green Energy,

University of Nigeria, Nsukka, Enugu Campus, Nigeria.

Ezeagu, C. A.

Department of Civil Engineering, Nnamdi Azikiwe University, Awka, Nigeria.

Ibeabuchi C.I.

Department of Civil Engineering, Nnamdi Azikiwe University, Awka, Nigeria.

Abstract – Pavement cracking is a major factor contributing to road failures, affecting both rigid and flexible pavement structures. This study investigates the initiation and propagation of cracks in these pavement types using finite element modeling (FEM) techniques. Rigid pavements, modeled as concrete slabs on an elastic foundation, were analyzed for crack formation at slab edges and joints, while flexible pavements were simulated as multi-layered asphalt structures to evaluate top-down and bottom-up cracking mechanisms. The FEM simulations, conducted using STAAD Pro, incorporated material properties, stress distribution, and load conditions derived from empirical studies. Results indicate that rigid pavements are prone to fatigue and shrinkage-induced cracking, whereas flexible pavements primarily experience surface-initiated cracks due to repeated loading. The findings were validated against field data, highlighting the influence of pavement thickness, subgrade stiffness, and material strength on crack development. This research provides insights for improving pavement design and maintenance strategies, ultimately enhancing roadway durability.

Keywords: Pavement cracking, Rigid pavements, Flexible pavements, Finite element modeling, Crack propagation, STAAD Pro

  1. INTRODUCTION

    Pavement infrastructure is essential for transportation networks, serving as the foundation for efficient vehicular movement and economic development. However, pavement deterioration, particularly cracking, remains a significant challenge globally, especially in developing countries. Cracking in pavements compromises structural integrity, shortens service life, and escalates maintenance costs. The ability to understand and model crack initiation and progression is therefore vital for sustainable pavement engineering.

    In Nigeria and many parts of sub-Saharan Africa, road failures are increasingly attributed to poor pavement design, insufficient maintenance, substandard materials, and environmental conditions. A proper investigation into the mechanical and structural behavior of pavement types (rigid and flexible) is necessary to propose effective engineering solutions. This study uses a crack investigation mechanism anchored on finite element modeling (FEM) and empirical observations to analyze cracking patterns in pavements.

  2. LITERATURE REVIEW

    1. Crack Formation in Rigid Pavements

      Rigid pavements, primarily constructed with Portland Cement Concrete (PCC), are susceptible to cracking due to shrinkage, thermal stresses, and fatigue loading. Shrinkage cracking typically results from volumetric changes during curing. [1] identified fracture toughness as a critical parameter in understanding these failure mechanisms. Temperature-induced expansion and contraction also lead to longitudinal and transverse cracking [2]. Fatigue cracking often occurs at joints and slab edges due to repeated traffic loads. Studies such as [3] have demonstrated that fracture mechanics models, both linear elastic (LEFM) and

      nonlinear (NLFM), are suitable for analyzing crack propagation in rigid pavements. The influence of slab thickness, joint spacing, and subgrade stiffness on crack development has also been highlighted [4]

    2. Crack Formation in Flexible Pavements

      Flexible pavements comprise multiple layers, including asphalt concrete, base, and subgrade. Two dominant cracking mechanisms exist: top-down and bottom-up cracking. Top-down cracks begin at the surface due to tensile stress from traffic loads, exacerbated by asphalt binder aging [5][6]. Bottom-up cracks initiate from the lower asphalt layers under tensile stresses and propagate upward, especially where the pavement is thin or the subgrade is weak [7].

      Environmental impacts such as moisture and temperature variations play a crucial role in accelerating crack propagation. Proper modeling of these phenomena is essential for effective pavement management strategies [8].

    3. Finite Element Modeling in Pavement Crack Analysis

      FEM has gained prominence in pavement design due to its capability to simulate stress distributions and crack behavior under realistic loading and boundary conditions. [2] emphasized FEMs utility in analyzing complex pavement responses. In flexible pavements, cohesive zone models and damage mechanics are widely used [6]. For rigid pavements, FEM incorporates crack modeling using stress intensity factors and Winkler-type elastic foundations [3].

      This study adopts FEM to evaluate crack behavior in pavement systems under various conditions, integrating theoretical modeling with real-world field data for validation.

  3. METHODOLOGY

    1. Finite Element Modeling Approach

      A finite element modeling (FEM) approach was employed using STAAD Pro software to analyze crack initiation and propagation in rigid and flexible pavements. FEM enables detailed simulation of pavement stress distribution, deformation, and crack development under various loading conditions [2].

      1. Model Description

        Rigid Pavement: Modeled as a concrete slab on an elastic foundation (Winkler model) to simulate subgrade support. The slab dimensions and material properties were based on standard highway pavement structures [3].

        Flexible Pavement: Simulated as a multi-layered system comprising an asphalt concrete layer, base, and subgrade. The asphalt layer was assigned viscoelastic properties to capture realistic pavement behavior under loading [6].

      2. Material Properties and Boundary Conditions

        To accurately model the structural response of rigid and flexible pavements under loading, appropriate material properties were assigned to each layer within the finite element simulation. Material properties were selected based on empirical studies and pavement design standards [1][7]. The key parameters are presented in Table 1.

        Table 1. Key Parameters

        Material

        Elastic Modulus (MPa)

        Poissons

        Ratio

        Tensile Strength (MPa)

        Compressive Strength (MPa)

        Concrete (Rigid Pavement)

        30,000

        0.2

        3.5

        40

        Asphalt (Flexible Pavment)

        5,000

        0.35

        2.0

        10

        Subgrade

        100

        0.4

        N/A

        N/A

        Boundary conditions were applied to simulate real-world pavement loading scenarios. The bottom of the subgrade was fixed, while vertical loads were applied to represent vehicular tire pressure [8].

      3. Crack Modeling and Analysis

        Rigid Pavement: Crack propagation was analyzed using fracture mechanics principles, considering stress intensity factos at slab edges and joints [2][3]. Flexible Pavement: The cohesive zone model was employed to simulate top-down cracking, tracking crack initiation at the surface and its progression under repeated loading [6][9].

        Crack modelling equation for flexible and rigid pavement.

        The Griffith Fracture criterion, one of the most widely accepted theory of fracture mechanics of concrete with its governing law for crack propagation is based on the inelastic materials behavior using the theory of Linear Elastic Fracture Mechanics (LEFM) and Non Linear Fracture Mechanics (NLFM). He presented two (2) major computation theories in crack analysis of concrete which can be extended to crack analysis of flexible pavement namely: Discrete Crack Modelling Approach and Smeared Crack Modelling Approach. Fundamental concept of Linear Elastic Mechanics is based on the crack forms observed in both rigid and flexible pavement on site

        Figure 1 illustrates the geometric representation of a typical cracked pavement section as used in the finite element modeling. The figure shows a schematic crack tip and propagation zone in both rigid and flexible pavements, using a polar coordinate system (r, ) around the crack tip. This configuration supports the application of Linear Elastic Fracture Mechanics (LEFM) and Nonlinear Fracture Mechanics (NLFM) principles in analyzing crack behavior under repeated loading conditions.

        r

        y P(x,y)

        y x

        a a

        Fig 1. Typical failed pavement section

        For a near tip point P(x,y)

        = + eqn. 1

        = + eqn. 2

        Where X = crack length (horizontal length of crack) Y = crack depth (vertical depth of crack)

        1. Finite Element Modelling

          The rigid pavement was modelled on Staad Pro software as plates on elastic foundation. Figure 2 presents the finite element model (FEM) of a pavement plate structure used for simulating the structural response of rigid and flexible pavements. The model represents the pavement as a series of interconnected plate elements laid over an elastic foundation (Winkler-type springs) that simulate subgrade support. For rigid pavement, concrete plates were modeled with varying thicknesses, while flexible pavement

          layers were assigned viscoelastic properties. This mesh configuration allowed for detailed analysis of deflection, bending, torsional behavior, and crack initiation across a range of loading scenarios.

          Figure 2: Pavement Plate model

          Plate Models were generated for 2 materials: concrete and bitumen/asphalt. Each material was modeled at different thicknesses ranging from 25mm to 300mm at increments of 25mm. The maximum deflection, Bending Moment, Torsion and shear stress for each model were determined to evaluate the characteristic nature of each material under the specified loading.

          These models were generated by data gotten through field and laboratory investigation which included the following

          1. Distress Survey and Non-destructive assessment on 3 Flexible and 3 Rigid pavement sections at three different locations namely: Awka in Anambra Central zone ( INEC road Okpuno, Amawbia Junction, Amawbia-Nawgu- Ukwulu Igbariam road), Onitsha in Anambra North zone (Holy Trinity/33 road/CPS roads, Federal Government Secondary School Onitsha 3-3 internal roads) and Nnewi in Anambra South zone ( Oba Nnewi old road, Oba Nnewi new road).

          2. Experimental study on the cored samples tested at Anambra State Material Testing Laboratory to determine the following: Marshall Stability & Flow, Extraction of Bitumen and Bulk Density and void on the pavements.

        2. Load Analysis

        Westergaards theory which considered three critical locations of the wheel load on the pavement was used for the loading of the models. This is defined by the 3 load cases stated below:

        Case 1: Load is applied at the corner of a rectangular slab. This provides for the cases when the wheel load is applied at the intersection of the pavement edge and a transverse joint.

        Case 2: Load is applied at the interior of the slab at a considerable distance from its edges. Case 3: Load is applied at the edge of the slab at a considerable distance away from any corner. The following parameters were used for the load analysis of the models

        Applied the maximum HA loading = 80 tonnes = 80,000 kg = 784.8 kN Total area of plate = 2.4 x 2.4 m = 5.76 m2

        Equivalent uniformly distributed load on plate = 784.8 = 136.25 kN/m2

        5.76

      4. Validation of Numerical Results

        To validate the FEM simulations, numerical results were compared with field data from past studies on pavement distress in Nigeria [10][11]. Stress distributions, crack propagation patterns, and failure modes were analyzed to ensure consistency with observed pavement deterioration.

  4. RESULTS AND DISCUSSION

    1. Analysis of Results

      1. Material 1 Concrete

        Table 2 presents the results of the FEM simulation showing how deflection in rigid (concrete) pavements varies with slab thickness. Pavement thicknesses ranged from 25 mm to 300 mm in 25 mm increments. The table also includes corresponding values for bending moments, torsional moments, and shear stress. The data illustrate the significant reduction in deflection as concrete slab thickness increases, confirming improved structural rigidity and load-bearing capacity.

        Modulus of Elasticity = 2.17 x 107kN/m2 Poisson ratio = 0.2

        Table 2: Variation of deflection with plate thickness (concrete)

        Thickness (mm)

        Deflection (mm)

        Bending Moment

        (kNm/m)

        Torsion (kNm/m)

        Shear Stress (N/mm2)

        Hogging

        Sagging

        25

        192.788

        24.925

        15.809

        7.159

        4.748

        50

        24.22

        24.938

        15.820

        7.115

        2.372

        75

        7.237

        24.950

        15.835

        7.045

        1.578

        100

        3.088

        24.954

        15.954

        6.956

        1.18

        125

        1.603

        24.945

        15.876

        6.854

        0.941

        150

        0.943

        24.923

        15.900

        6.744

        0.781

        175

        0.605

        24.886

        15.925

        6.631

        0.666

        200

        0.414

        24.835

        15.951

        6.518

        0.580

        225

        0.298

        24.886

        15.925

        6.409

        0.512

        250

        0.222

        24.711

        16.006

        6.304

        0.458

        275

        0.172

        24.636

        16.033

        6.206

        0.414

        300

        0.136

        24.555

        16.060

        6.114

        0.377

      2. Material 2 Bitumen/Asphalt

        Table 3 shows the deflection and associated stress responses for flexible (asphalt) pavements under the same loading conditions and thickness ranges as the concrete model. Due to the lower modulus of elasticity of asphalt, deflections are significantly higher at thinner layers. The table incldes bending and torsional moment values along with shear stresses, highlighting the materials viscoelastic behavior under load.

        Modulus of Elasticity E = 4.89 x 105 kN/m2 Poissons ratio = 0.25

        Table 3: Variation of deflection with plate thickness (Bitumen/Asphalt)

        Thickness (mm)

        Deflection (mm)

        Bending Moment (kNm/m)

        Torsion (kNm/m)

        Shear Stress

        (N/mm2)

        Hogging

        Sagging

        25

        8365.526

        24.879

        16.468

        6.714

        4.745

        50

        1051.242

        24.891

        16.479

        6.670

        2.370

        75

        314.298

        24.902

        16.496

        6.601

        1.577

        100

        134.187

        24.903

        16.517

        6.513

        1.180

        125

        69.729

        24.889

        16.541

        6.412

        0.940

        150

        41.063

        24.861

        16.567

        6.303

        0.780

        175

        26.38

        24.817

        16.595

        6.191

        0.665

        200

        18.069

        24.761

        16.624

        6.079

        0.579

        225

        13.003

        24.693

        16.653

        5.971

        0.512

        250

        9.731

        24.616

        16.683

        5.868

        0.458

        275

        7.518

        24.533

        16.712

        5.771

        0.413

        300

        5.964

        24.444

        16.742

        5.681

        0.376

        Figure 3 displays the transverse bending moment distribution for Load Case 1, where the wheel load is applied at the corner of the pavement slab. The high concentration of negative (hogging) and positive (sagging) bending moments near the corners indicates the critical stress zones where cracking is most likely to initiate. This supports the numerical results from Table 4 showing maximum settlement and base pressure in this region.

        Figure 3: Typical transverse bending moment diagram when the wheel load is at the corner.

        Figure 4 presents the transverse bending moment profile under Load Case 2, representing a centrally applied wheel load on the pavement slab. Compared to edge and corner loading, this configuration shows a more uniform moment distribution, with lower peak stresses, which correlates with lower crack initiation risk. The figure confirms the numerical trends from Table 5 regarding internal load stability in thicker pavements.

        Figure 4: Typical transverse bending moment diagram when the wheel load is at the centre

        Figure 5 illustrates the transverse bending moment distribution for Load Case 3, where the wheel load is applied at the edge of the pavement slab. The diagram reveals asymmetric moment profiles with pronounced gradients along the slab perimeter, highlighting elevated stress concentrations at slab boundaries. These regions are especially prone to tensile cracking due to reduced lateral support, aligning with results shown in Table 6.

        Figure 5: Typical transverse bending moment diagram when the wheel load is at the edge

        To simulate stress concentration and deformation patterns in rigid pavement, a finite element analysis was conducted for Load Case 1, in which a wheel load is applied at the corner of a rectangular slab. This load condition replicates a critical failure scenario where tensile stresses are expected to peak due to minimal structural support at the intersection of pavement edges and joints. Table 4 presents the numerical results for different values of subgrade reaction modulus (k), showing variations in bending moments (Mx, My), torsional moment (Mxy), shear forces (Qx, Qy), maximum settlement, and base pressure for a slab thickness of 100 mm.

        Table 4: Load Case 1: Wheel load at the corner for pavement thickness of 100mm

        Modulus of subgrade reaction

        (kN/m2/m)

        Mx

        (kNm/m)

        My

        (kNm/m)

        Mxy

        (kNm/m)

        Qx

        (N/mm2)

        Qy

        (N/mm2)

        Maximum settlement

        (mm)

        Base Pressure (kN/m2)

        10,000

        53.161

        53.186

        73.505

        3.697

        3.698

        47.452

        474.515

        50,000

        44.851

        44.856

        64.1348

        3.379

        3.379

        20.882

        1044.09

        75,000

        43.036

        43.038

        61.090

        3.249

        3.249

        16.909

        1268.21

        100,000

        41.383

        41.384

        58.725

        3.143

        3.142

        14.533

        1453.34

        200,000

        36.192

        36.192

        52.257

        2.828

        2.828

        10.009

        2001.810

        Thickness of pavement = 100 mm; E = 3.3 x 107 kN/m2; Poisson ratio = 0.2; fck = 30 N/mm2; fctm = 2.9 N/mm2

        In Load Case 2, the wheel load is applied at the interior of the concrete slab, representing a more uniformly supported region of the pavement system. This configuration typically yields lower tensile stress levels compared to edge or corner loading scenarios. The analysis provides insight into pavement behavior under typical mid-lane loading conditions. Table 5 summarizes the computed structural response metrics-including bending moments, torsional moment, shear forces, maximum deflection, and base pressure-across a range of subgrade stiffness values for the same 100 mm slab thickness.

        Table 5: Load Case 2: Wheel load at the interior for pavement thickness of 100mm

        Modulus of subgrade reaction

        (kN/m2/m)

        Mx

        (kNm/m)

        My

        (kNm/m)

        Mxy

        (kNm/m)

        Qx (N/mm2)

        Qy (N/mm2)

        Maximum settlement

        (mm)

        Base Pressure (kN/m2)

        10,000

        25.746

        25.725

        5.7836

        1.205

        1.205

        5.052

        50.520

        50,000

        18.127

        18.0855

        4.790

        1.1597

        1.1591

        2.197

        109.849

        75,000

        16.303

        16.294

        4.485

        1.1408

        1.1400

        1.788

        134.070

        100,000

        15.056

        15.060

        4.294

        1.121

        1.124

        1.564

        154.590

        200,000

        12.216

        12.224

        3.625

        1.075

        1.075

        1.093

        218.60

        Thickness of pavement = 100 mm; E = 3.3 x 107 kN/m2; Poisson ratio = 0.2; fck = 30 N/mm2; fctm = 2.9 N/mm2

        Table 6 presents the structural response when the wheel load is applied at the edge of the slab (Load Case 3) for a 100 mm thick concrete paveent. This loading condition simulates scenarios where partial slab support leads to stress gradients near the slab perimeter. The table outlines how varying subgrade modulus values influence bending and torsional moments, shear forces, settlement, and base pressure under this edge loading condition.

        Table 6: Load Case 3: Wheel load at the edge for pavement thickness of 100mm

        Modulus of subgrade reaction

        (kN/m2/m)

        Mx

        (kNm/m)

        My

        (kNm/m)

        Mxy

        (kNm/m)

        Qx

        (N/mm2)

        Qy

        (N/mm2)

        Maximum settlement

        (mm)

        Base Pressure (kN/m2)

        10,000

        24.117

        50.782

        22.296

        1.639

        2.612

        17.167

        171.67

        50,000

        21.186

        33.854

        18.558

        0.1244

        2.4322

        7.660

        383.00

        75,000

        20.159

        29.854

        17.905

        1.486

        2.364

        6.244

        468.27

        100,000

        19.634

        27.109

        17.387

        1.447

        2.3081

        5.396

        539.61

        200,000

        18.073

        20.875

        15.921

        1.328

        2.142

        3.782

        756.300

        Thickness of pavement = 100 mm; E = 3.3 x 107 kN/m2; Poisson ratio = 0.2; fck = 30 N/mm2; fctm = 2.9 N/mm2

        Table 7 provides results for Load Case 1-wheel load at the corner-for an increased slab thickness of 150 mm. This configuration helps assess the role of additional thickness in mitigating tensile stresses and deformation at slab corners under corner loading conditions.

        Table 7: Load Case 1: Wheel load at the corner for pavement thickness of 150mm

        Modulus of subgrade reaction

        (kN/m2/m)

        Mx(kNm/ m)

        My(kNm

        /m)

        Mxy

        (kNm/m)

        Qx

        (N/mm2)

        Qy(N/ mm2)

        Maximum settlement

        (mm)

        Base Pressure (kN/m2)

        10,000

        54.775

        55.724

        77.171

        2.582

        2.587

        26.380

        263.796

        50,000

        51.292

        51.318

        70.449

        2.472

        2.472

        11.640

        581.90

        75,000

        48.684

        48.703

        68.264

        2.423

        2.423

        9.485

        711.39

        100,000

        47.069

        47.072

        66.569

        2.382

        2.382

        8.198

        819.76

        200,000

        44.697

        44.700

        61.903

        2.253

        2.253

        5.749

        1149.8

        Thickness of pavement = 150 mm; E = 3.3 x 107 kN/m2;Poisson ratio = 0.2; fck = 30 N/mm2; fctm = 2.9 N/mm2

        Table 8 details the pavement performance under Load Case 2-interior loading-at a slab thickness of 150 mm. It demonstrates the response of the system under central slab loading and how subgrade stiffness influences mechanical behavior.

        Table 8: Load Case 2: Wheel load at the interior for pavement thickness of 150mm

        Modulus of subgrade reaction

        (kN/m2/m)

        Mx(kNm

        /m)

        My(kNm/ m)

        Mxy

        (kNm/ m)

        Qx

        (N/mm2)

        Qy(N/m m2)

        Maximum settlement

        (mm)

        Base Pressure (kN/m2)

        10,000

        30.561

        32.365

        6.094

        0.8077

        0.8121

        2.972

        29.718

        50,000

        23.922

        23.786

        5.528

        0.7877

        0.793

        1.242

        62.110

        75,000

        21.965

        21.831

        5.316

        0.785

        0.785

        1.010

        75.780

        100,000

        20.575

        20.471

        5.145

        0.7745

        0.7793

        0.874

        87.36

        200,000

        17.324

        17.296

        4.667

        0.761

        0.761

        0.618

        123.515

        Thickness of pavement = 150 mm; E = 3.3 x 107 kN/m2;Poisson ratio = 0.2; fck = 30 N/mm2; fctm = 2.9 N/mm2

        Table 9 shows the mechanical response under Load Case 3-edge loading-for a slab thickness of 150 mm. This allows comparison of how edge-induced stress conditions evolve with increasing pavement thickness.

        Table 9: Load Case 3: Wheel load at the edge for pavement thickness of 150mm

        Modulus of subgrade reaction

        (kN/m2/m)

        Mx(kNm/ m)

        My(kNm/ m)

        Mxy

        (kNm/ m)

        Qx

        (N/mm2)

        Qy(N/ mm2)

        Maximum settlement

        (mm)

        Base Pressure (kN/m2)

        10,000

        26.071

        64.0551

        24.183

        5

        1.1136

        1.7970

        9.654

        96.54

        50,000

        23.574

        46.236

        20.819

        1.0820

        1.725

        4.234

        211.700

        75,000

        23.121

        41.913

        19.719

        1.067

        1.697

        3.464

        259.70

        100,000

        22.687

        38.889

        19.368

        1.052

        1.674

        3.004

        300.382

        200,000

        21.203

        31.827

        18.369

        1.007

        1.606

        2.130

        425.942

        Thickness of pavement = 150 mm; E = 3.3 x 107 kN/m2;Poisson ratio = 0.2; fck = 30 N/mm2; fctm = 2.9 N/mm2

        Table 10 presents structural performance results for Load Case 1-corner loading-at a slab thickness of 200 mm. This scenario provides insights into stress reduction benefits associated with further increases in slab thickness.

        Table 10: Load Case 1: Wheel load at the corner for pavement thickness of 200mm

        Modulus of subgrade reaction (kN/m2/m)

        Mx(kNm/ m)

        My(kNm

        /m)

        Mxy

        (kNm/m)

        Qx

        (N/mm2)

        Qy(N/mm2)

        Maximum settlement

        (mm)

        Base

        Pressure (kN/m2)

        10,000

        54.3816

        58.4516

        78.0866

        1.9939

        2.00308

        17.771

        177.77

        50,000

        54.617

        54.8578

        72.9006

        1.9465

        1.94725

        7.668

        383.408

        75,000

        53.541

        53.534

        71.202

        1.9232

        1.9232

        6.257

        469.25

        100,000

        52.190

        52.228

        69.852

        1.902

        1.9024

        5.418

        541.845

        200,000

        48.395

        48.405

        66.248

        1.837

        1.837

        3.892

        765.700

        Thickness of pavement = 200 mm; E = 3.3 x 107 kN/m2;Poisson ratio = 0.2; fck = 30 N/mm2; fctm = 2.9 N/mm2

        Table 11 analyzes Load Case 2-interior wheel loading-at 200 mm pavement thickness. It assesses the load-bearing performance and deformation resistance of thicker pavement under centrally distributed loads.

        Table 11: Load Case 2: Wheel load at the interior for pavement thickness of 200mm

        Modulus of subgrade reaction

        (kN/m2/m)

        Mx(kNm/ m)

        My(kNm/ m)

        Mxy

        (kNm/m)

        Qx

        (N/mm2)

        Qy(N/mm2)

        Maximum settlement

        (mm)

        Base Pressure (kN/m2)

        10,000

        32.775

        38.3489

        6.293

        0.6043

        0.60957

        2.154

        21.540

        50,000

        27.825

        28.1469

        5.8967

        0.5961

        0.5997

        0.839

        41.94

        75,000

        26.0571

        26.0491

        5.7449

        0.59216

        0.5957

        0.697

        50.906

        100,000

        24.722

        24.6075

        5.6199

        0.5925

        0.59258

        0.586

        58.620

        200,000

        21.366

        21.2386

        5.2535

        0.5791

        0.5829

        0.415

        82.98

        Thickness of pavement = 200 mm; E = 3.3 x 107 kN/m2; Poisson ratio = 0.2; fck = 30 N/mm2; fctm = 2.9 N/mm2

        Table 12 summarizes the behavior of the pavement system under Load Case 3-edge wheel loading-for 200 mm thickness. It identifies the interaction between edge loading effects and pavement structural rigidity at increased depth.

        Table 12: Load Case 3: Wheel load at the edge for pavement thickness of 200mm

        Modulus of subgrade reaction

        (kN/m2/m)

        Mx(kNm/m)

        My(kNm/m)

        Mxy

        (kNm/m)

        Qx

        (N/mm2)

        Qy(N/mm2)

        Maximum settlement

        (mm)

        Base Pressure (kN/m2)

        10,000

        26.507

        73.949

        24.659

        0.8447

        1.3675

        6.756

        67.560

        50,000

        25.357

        55.2127

        22.2009

        0.833277

        1.33075

        2.791

        139.57

        75,000

        24.644

        50.7535

        21.332

        0.8263

        1.3163

        2.280

        0.1709

        100,000

        24.444

        47.6257

        20.652

        0.8199

        1.3043

        1.978

        197.82

        200,000

        23.607

        40.2116

        19.646

        0.7985

        1.26839

        1.409

        0.2819

        Thickness of pavement = 200 mm; E = 3.3 x 107 kN/m2; Poisson ratio = 0.2; fck = 30 N/mm2; fctm = 2.9 N/mm2

        Table 13 presents a summary of the cracked pavement characteristics as a function of increasing thickness. Key crack geometry descriptors such as radial distance (r), angle (), crack length (x), and crack depth (y) are tabulated for thicknesses ranging from 25 mm to 300 mm.

        Table 13: Summary of Crack pavement characteristics varying with thickness

        Pavement thickness (m)

        r (m)

        0

        x(m)

        y (m)

        0.025

        1.200

        1.19

        2.3997

        0.0499

        0.50

        1.201

        2.38

        2.3999

        0.0999

        0.075

        1.202

        3.576

        2.4007

        0.1500

        0.100

        1.204

        4.7636

        2.4000

        0.1999

        0.125

        1.2005

        5.95

        2.4000

        0.2500

        0.150

        1.2093

        7.13

        2.3999

        0.3000

        0.175

        1.2127

        8.31

        2.4000

        0.3503

        0.200

        1.2166

        9.46

        2.4000

        0.4000

        0.225

        1.2209

        10.62

        2.4000

        0.4500

        0.250

        1.2258

        11.77

        2.4000

        0.5000

        0.275

        1.2311

        12.91

        2.4000

        0.5501

        0.300

        1.2369

        14.04

        2.400

        0.6000

    2. Discussions

      Crack Formation in Rigid and Flexible Pavements

      The numerical analysis provided insights into the stress distribution, deformation patterns, and crack initiation points in both rigid and flexible pavements. These findings are crucial in understanding pavement deterioration mechanisms and guiding the design of more durable road structures [4].

      1. Stress and Deformation Analysis

        The stress distribution in rigid pavements showed that the highest tensile stresses occurred near slab corners and edges, which are common locations for crack initiation [3]. This result aligns with previous studies on concrete pavement failures, where slab curling and shrinkage exacerbate tensile stresses at these locations [1]. For flexible pavements, stress distributions indicated that tensile stresses were more significant at the surface, particularly under dual tire loading. This condition contributes to top-down cracking, a dominant distress mechanism in asphalt pavements subjected to repeated traffic loads [5]. Figure 1 illustrates the deformation patterns under varying subgrade modulus values. Pavements constructed over weaker subgrades exhibited higher deflections, increasing susceptibility to fatigue-induced cracking [11].

      2. Crack Propagation Analysis

        Using fracture mechanics principles, crack propagation in both rigid and flexible pavements was simulated.

        Rigid Pavements: The numerical model showed that edge and corner cracks propagated toward the slab center due to stress concentration. These results align with fracture toughness predictions for concrete pavements, confirming that tensile stress beyond a critical threshold initiates cracking [2].

        Flexible Pavements: Top-down cracking was analyzed using a cohesive zone model, which demonstrated that cracks initiated at the surface due to high tensile strain and propagated downward with loading cycles. This trend has been previously observed in field studies, where micro-cracks at the pavement surface gradually develop into full-depth failures [9]. Figure 2 presents a simulated crack propagation path in asphalt pavements, consistent with findings by [6].

      3. Influence of Pavement Thickness and Subgrade Stiffness

        The study also examined how variations in pavement thickness and subgrade stiffness affected crack initiation and propagation:

        Rigid Paveents: Increasing slab thickness reduced crack propagation rates by lowering tensile stresses at the surface. This observation aligns with previous work by [12], who noted that thicker concrete slabs exhibited improved resistance to fatigue failure.

        Flexible Pavements: While increased asphalt thickness delayed crack initiation, it did not eliminate crack propagation, supporting previous experimental findings [7].

        Subgrade Stiffness: Higher subgrade modulus values reduced overall pavement deflection, minimizing tensile strain and delaying crack formation, which is consistent with theoretical models presented by [13].

        These results suggest that optimizing pavement thickness and subgrade properties can significantly improve crack resistance, supporting recommendations for pavement design modifications [8].

      4. Comparison with Experimental and Field Data

      To validate the numerical model, the results were compared with experimental studies and field observations from previous research. The trends in crack propagation and stress distributions showed a strong correlation with real-world pavement failures, particularly those documented in Nigeria [14]. The numerical predictions of crack initiation and propagation closely matched field observations, reinforcing the models applicability for practical pavement analysis [10].

      Key Contributions and Implications

      The study provides the following key contributions to pavement engineering:

      A comprehensive analysis of crack initiation and propagation mechanisms in both rigid and flexible pavements. Integration of fracture mechanics principles for a more accurate assessment of pavement durability.

      Insights into the role of pavement thickness and subgrade stiffness in crack resistance.

      A validated numerical approach that aligns with field data, offering practical applications for improving pavement design.

  5. CONCLUSION AND RECOMMENDATIONS

    This study analyzed crack initiation and propagation mechanisms in rigid and flexible pavements using finite element modeling, integrating fracture mechanics principles to improve predictive accuracy. The results highlighted key factors influencing pavement cracking, including stress distribution, deformation patterns, and the impact of pavement thickness and subgrade stiffness.

    Key Findings

    Crack Initiation and Propagation

    • In rigid pavements, cracks predominantly initiated at slab edges and corners due to high tensile stress concentrations, consistent with previous findings on concrete pavement failures [1][3].

    • In flexible pavements, top-down cracking was identified as the primary distress mechanism, with cracks initiating at the surface and propagating downward under repeated traffic loads [5][6].

    • Effect of Pavement Thickness and Subgrade Stiffness

    • Increasing rigid pavement thickness significantly reduced crack propagation rates by lowering surface tensile stress [12].

    • While increasing asphalt thickness delayed crack initiation, it did not prevent crack propagation, aligning with previous experimental studies [7].

    • Pavements with higher subgrade stiffness exhibited reduced deflections, decreasing tensile strain and delaying crack formation [13].

    • Validation with Experimental and Field Data

    • The numerical results closely matched real-world observations from field studies, validating the models applicability for

      pavement analysis and design improvements [9][14]

      Engineering Implications

      The findings provide critical insights for pavement engineers and transportation authorities:

    • Optimized pavement design: Proper selection of pavement thickness and subgrade properties can enhance crack resistance, reducing maintenance costs and improving road durability.

    • Predictive crack modeling: Integrating fracture mechanics in numerical simulations improves the accuracy of crack progression predictions, aiding in proactive maintenance strategies.

    • Field application: The validated model offers a practical tool for assessing pavement performance, supporting better decision-making in infrastructure projects.

      Future Research Directions

      While this study provides valuable contributions, further research is needed to refine crack modeling approaches:

    • Advanced material modeling: Incorporating viscoelastic and damage mechanics models can enhance the representation of asphalt behavior under long-term loading.

    • Environmental effects: Investigating the influence of temperature fluctuations and moisture on crack propagation would provide more comprehensive pavement performance predictions.

    • Machine learning applications: Implementing AI-based predictive models could improve crack detection and maintenance planning based on real-time data.

  6. DECLARATIONS

    • Author Contributions:

      • Michael O. Egbebike: Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing

        review & editing, Project administration, Resources, Data curation, Visualization.

      • C.A. Ezeagu: Conceptualization, Methodology, Supervision, Writing review & editing, Data curation, Project administration.

      • C.I. Ibeabuchi: Methodology, Validation, Software, Writing review & editing, Investigation, Visualization.

    • Funding: The authors received no external funding for this research.

    • Conflict of Interest: The authors declare no conflict of interest.

    • Ethical Approval: Not applicable.

    • Data Availability: All data used in this study are available from the corresponding author upon reasonable request.

  7. REFERENCES

  1. Alyamac K.E And Ince V. R.(2005) In "A Prediction Formula For Fracture Toughness Of Concrete" 7th International Fracture Conference 19-21 October 2005 Kocaeli University Kocaeli/Turkey. pp. 215 to 222.

  2. Taherkhani, H., & Tajdini, M. (2020). Investigating the performance of cracked asphalt pavement using finite elements analysis. Civil Engineering Infrastructures Journal, 53(1), 3351.

  3. Murthy C.R. A, Palani G.S and Iyer N.R. (2009) in the State-of-the-art review on fracture analysis of concrete structural components S¯adhan¯aVol. 34,

    Part 2, April 2009, pp. 345367. © Printed in India

  4. Garber, N.J., and Hoel, L.A. (2009) Traffic and Highway Engineering, 4th Edition. Toronto, Canada: Cengage Learning

  5. Alae, M., Haghshenas, H.F. and Zhao, Y. (2019). Evaluation of top-down crack propagation in asphalt pavement under dual tires loading, Canadian

    Journal of Civil Engineering, 5, pp. 185-193.

  6. Liu, P., Chen, J., Lu, G., Wang, D., Oeser, M., & Leischner, S. (2019). Numerical simulation of crack propagation in flexible asphalt pavements based on cohesive zone model developed from asphalt mixtures. Materials, 12(8), 1278.

  7. Yang, D.; Karimi, H.R.; Aliha, M.R.M. (2021) Comparison of Testing Method Effects on Cracking Resistance of Asphalt Concrete Mixtures. Applied Sciences, 11(11), 5094.

  8. Sun,L., Wang, G., Zhang, H. and Liu, L. (2018)Initiation and Prpagation of Top-Down Cracking in Asphalt Pavement, Applied Sciences, 8, 774. https://doi:10. 3390/app8050774

  9. Wu, S., Wen, H., Zhang, W., Shen, S., Mohammad, L. N., Faheem, A. and Muhunthan, B. (2019). Field performance of top-down fatigue cracking for warm mix asphalt pavements, International Journal of Pavement Engineering, 20(1), pp. 33-43

  10. Ezeagu, C.A, Udebunu, J.N and Obiorah S. M.O, (2015) '' Destructive and Non-Destructive Assessment of Collapsed Structures in Onitsha, Anambra State, Nigeria'' American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) © Global Society of Scientific Research and Researchers. http://asrjetsjournal.org/ Vol. 12 No 1. May. Pp170-187.

  11. Ezeagu, C.A., Ibeabuchi, C.I. and Mezie, E.O. (2020) Empirical Post-mortem analysis and healing approach of flexible and rigid pavement failures in

    Anambra state Journal of Inventive Engineering and Technology (JIET) Vol. 1, Issue 2, January, pp. 42-53.

  12. Oguara T.M. (2006), Highway Engineering Pavement Design, Construction and Maintenance Malthouse press limited.

  13. Ogbezobe J, Adeleke I.A, and Adebayo A.(2018)"Influence of Compressive, Tensile and Fatigue Stresses on Asphalt and Concrete Cement Road Pavements in Nigeria – Using Linear Elastic Theory" July, Journal of Engineering Research and Reports

  14. Ezeagu C.A. (2018), "Controlling Building and Infrastructure Collapse in Nigeria" – A guest speaker lecture presented at workshop organized by SON on

General Sensitization For Increase Awareness on Building Collapse" at Nelrose Hotels Asaba pg 1-17 March.