Yaw-induced transitions in ballistic limit and fracture mechanisms in steel plate perforation
LeandroChavesFonseca1
FernandoCunhaPeixoto1,2
JaklerNichele1,2✉Emailjakler@ime.eb.br
1Defense Engineering DepartmentMilitary Institute of EngineeringRio de JaneiroBrazil
2Chemical Engineering DepartmentMilitary Institute of EngineeringRio de JaneiroBrazil
Leandro Chaves Fonseca1 ORCID: 0000-0002-9578-886X
Fernando Cunha Peixoto1,2 ORCID: 0000-0003-1506-9548
Jakler Nichele1,2* ORCID: 0000-0003-3046-8459
1 Defense Engineering Department, Military Institute of Engineering, Rio de Janeiro, Brazil.
2 Chemical Engineering Department, Military Institute of Engineering, Rio de Janeiro, Brazil.
*Corresponding author: jakler@ime.eb.br
Abstract
This study investigates how the yaw angle influences the ballistic limit velocity and the associated fracture mechanisms in steel plates. Three-dimensional simulations were carried out for blunt cylindrical projectiles with diameter of 7.62 mm, length of 22.86 mm, and mass of 8.16 grams, impacting 4340 steel plates with 10 mm thickness. The results show a non-monotonic dependence of the ballistic limit on yaw: the resistance increases with angle, reaches a pronounced maximum between 60° and 75°, where the ballistic limit nearly doubles compared with normal impact, and decreases for larger angles. The analysis also reveals a transition in fracture mechanism occurring between 45° and 60°, marking the shift from ductile hole enlargement to shear-dominated plugging. These findings demonstrate that yaw is a governing parameter in the dynamic fracture of ductile plates, linking global ballistic resistance to local stress states and advancing the physical understanding of protective structures subjected to oblique and yawed impacts.
Keywords
Ballistic limit
Yaw angle
Fracture mechanisms transition
Ductile hole enlargement
Shear plugging
Nomenclature
a asymptotic residual
to-impact velocity ratio in Lambert-Jonas model
A yield stress parameter in Johnson
Cook constitutive model (MPa)
bi coefficients of the cubic polynomial correlation for the normalized ballistic limit (vbl/vbl0) as a function of yaw angle α.
B strain hardening modulus in Johnson-Cook constitutive model (MPa)
C strain-rate sensitivity coefficient in Johnson-Cook constitutive model
Cₚ specific heat at constant pressure (J·kg–1·K–1)
D cumulative damage parameter
Di Johnson-Cook failure model constants
E elastic modulus (GPa)
k quality mesh constant
li edge length of a finite element (mm)
m thermal softening exponent in Johnson-Cook constitutive model
M mass of projectile (g)
n strain hardening exponent in Johnson-Cook constitutive model
N total number of nodes
Q element quality factor
p curve-shape parameter in Lambert-Jonas model
t simulation time (µs)
T current temperature (K)
Tr reference temperature (K)
Tm melting temperature (K)
vbl ballistic limit velocity (m/s)
vbl0 ballistic limit velocity for normal impact (α = 0º) used as reference for normalization (m/s)
vi impact velocity (m/s)
vr residual velocity (m/s)
V element volume (mm³)
α total yaw angle (° or rad)
β obliquity angle (° or rad)
ε equivalent plastic strain
plastic strain rate (s
–¹)
reference strain rate (s
–¹)
εᶠ equivalent plastic strain to fracture
σ equivalent flow stress (MPa)
σₘ mean stress (MPa)
σeq von Mises equivalent stress (MPa)
θ impact angle, defined as |β – α| (° or rad)
A
1 Introduction
The ballistic limit velocity, vbl, is a central parameter in dynamic fracture mechanics, as it defines the threshold impact velocity that separates perforation from non-perforation for a given projectile-target pair (Backman and Goldsmith, 1978). Beyond its role in assessing protective systems for personal, structural, or vehicular applications, vbl can also serve as a proxy for transitions between fracture mechanisms in ductile plate perforation, including ductile hole enlargement, shear plugging, and mixed-mode responses under dynamic loading. Capturing how vbl varies with projectile orientation is therefore essential not only for practical design but also for advancing the understanding of failure-mode transitions in high-rate fracture.
Classical work by Recht and Ipson (1963) established a kinetic-energy framework to describe residual velocity and perforation dynamics, while Lambert and Jonas (1976) extended this approach through an empirical velocity law that remains widely used in ballistic analysis. These velocity-based models are complemented by constitutive and fracture formulations, most notably the Johnson–Cook plasticity law (Johnson and Cook, 1983) and its companion failure model (Johnson and Cook, 1985), which explicitly incorporate strain hardening, strain-rate sensitivity, thermal softening, and stress triaxiality effects. Together, these approaches allow finite element simulations to capture both global ballistic resistance and the local progression of fracture under large plastic strains and high strain rates (Chen, 1990; Dey et al., 2004; Dolinski and Rittel, 2015; Deng et al., 2022; Janda et al., 2023).
Projectile orientation is classically defined by three angles: roll, pitch, and yaw (McCoy, 1999; Carlucci and Jacobson, 2008). Due to axisymmetry, pitch and yaw are often combined into the total yaw angle (α). While the effect of obliquity (β) on v₍bl₎ has been widely studied (Recht and Ipson, 1963; Backman and Goldsmith, 1978; Anderson Jr., 2017), the role of total yaw has received far less systematic attention. Numerical and experimental studies have reported that yaw increases the apparent ballistic limit velocity (Goldsmith, Tam and Tomer, 1995; Li and Goldsmith, 1996a–c; Bless, Satapathy and Normandia, 1999; Satapathy, Bedford and Bless, 1998; Vayig and Rosenberg, 2021, 2023), but most of these works considered yaw ≤ 20° and focused primarily on penetration depth, projectile deformation, or trajectory stabilization. Moreover, standards such as NIJ 0101.06 (NIJ, 2008) and MIL-STD-662F (DoD, 1997) restrict valid ballistic tests to yaw ≤ 5°, which has limited experimental exploration of yaw-induced fracture phenomena. From a fracture-mechanics perspective, however, yaw directly alters local stress triaxiality, shear localization, and crack initiation, all of which are central to ductile failure processes.
This lack of systematic evaluation of yaw-induced fracture-mechanism transitions constitutes a significant gap. Although incremental increases in vbl with yaw have been reported (Goldsmith, Tam and Tomer, 1995; Goldsmith, 1999), the magnitude of these effects, their non-monotonic behavior at large angles, and their connection to underlying failure modes remain poorly documented. In particular, whether yaw can trigger a transition from ductile enlargement to shear-dominated plugging in metallic plates has not been clarified. The present work addresses this gap through a computational study of blunt cylindrical 4340 steel projectiles impacting 4340 steel plates at yaw angles from 0° to 90°. Using three-dimensional finite element simulations with the Johnson–Cook plasticity and failure models, vbl was obtained via Lambert–Jonas regressions for multiple mesh densities.
2 Fundamentals
The dynamic perforation of metallic plates by high-velocity projectiles can be interpreted as a fracture process controlled by a balance between global energy absorption and local failure mechanisms. From the perspective of fracture mechanics, the ballistic limit velocity vbl represents a critical threshold: the minimum impact velocity at which the target undergoes complete perforation, leaving a nonzero residual velocity in the projectile (Backman and Goldsmith, 1978). This parameter has long been used as a performance index for protective systems, but in computational and mechanistic studies it also acts as a boundary condition for fracture-mode transitions, separating cases of ductile hole enlargement from shear plugging or mixed mechanisms.
2.1 Representation of the ballistic limit
The most common phenomenological description of ballistic resistance is the Lambert–Jonas model (Lambert and Jonas,
1976), which extends the earlier formulation of Recht and Ipson (
1963). It establishes a relationship between the residual velocity,
vr, and the impact velocity,
vi, as
where a (0 ≤ a ≤ 1) defines the asymptotic residual-to-impact velocity ratio, p (≥ 1) controls the curvature of the regression, and vbl is the fitted ballistic limit. When vi → vbl, vr → 0; when vi ≫ vbl, vr/vi → a. The physical interpretation is clear: the closer a is to unity, the smaller the relative energy dissipated in perforation, while variations of p reflect changes in the steepness of the transition from non-perforation to full perforation. In this sense, variations in a and p can be connected to changes in fracture mechanism as a function of projectile orientation.
2.2 Constitutive description of ductile deformation
Perforation is preceded by intense plastic flow, occurring at strain rates of 10³ – 10⁵ s
–¹. A suitable constitutive law must therefore capture strain hardening, rate sensitivity, and thermal effects simultaneously. The Johnson-Cook model (Johnson and Cook,
1983), given by
is widely adopted for this purpose, where
σ is the equivalent stress,
A,
B, and
n govern yield and hardening,
C regulates strain-rate sensitivity, and
m defines the degree of thermal softening between the reference (
Tr) and melting (
Tₘ) temperatures,
ε is the plastic strain,
is the plastic strain rate, and
is the dimensionless strain rate for
= 1.0 s
–1. This formulation is not merely empirical: each multiplicative term has a physical meaning, corresponding to mechanisms observed in metals under dynamic fracture conditions (Meyers,
1994). In particular, the strain-rate term captures the elevated resistance of 4340 steel under ballistic loading, which is crucial to predict perforation thresholds.
2.3 Damage and fracture formulation
Plastic flow alone cannot reproduce perforation. To capture material separation, a fracture criterion must be introduced. The Johnson-Cook failure model (Johnson and Cook,
1985) expresses the equivalent plastic strain to fracture (
εᶠ) as a function of stress triaxiality, strain rate, and temperature in the form
where
σm is the mean stress,
σeq is the von Mises equivalent stress, and
D1 – D5 are failure parameters calibrated for the target material. This law introduces stress triaxiality as a central variable: under tensile-dominated states (high
σₘ/
σeq), fracture strain decreases, favoring void nucleation and ductile tearing; under shear-dominated states (low
σₘ/
σeq), fracture strain increases, promoting shear plugging. The cumulative damage variable
D is incrementally computed as
with failure declared when D ≥ 1. This framework connects local stress states to the global perforation mode, enabling the analysis of mechanism transitions induced by yaw.
2.4 Geometric framework: yaw, obliquity and impact angle
Projectile orientation plays a decisive role in determining stress distribution and failure evolution. Three angles are classically used to describe the geometry: roll, pitch, and yaw (McCoy, 1999; Carlucci and Jacobson, 2008). For axisymmetric projectiles, roll is irrelevant, and pitch can be combined with yaw into the total yaw angle (α), which quantifies the deviation of the projectile axis from its velocity vector. The obliquity angle (β) describes the inclination of the target relative to the projectile path, and the impact angle (θ) is defined as |β – α|.
These geometric parameters are illustrated in Fig. 1, which is placed here for clarity, since it consolidates the notation adopted in the subsequent methodology and results.
(θ = |β – α|), which govern local stress states and fracture mechanisms during impact.
The distinction between α and β is particularly important for interpreting perforation outcomes: while obliquity has been widely studied in terms of fracture mechanics, yaw modifies the local stress triaxiality at the projectile-target interface, thereby altering the dominant failure mechanism.
3 Methodology
Numerical simulations were carried out with the ANSYS/Explicit Dynamics package (ANSYS, 2022a), which solves transient dynamic problems using explicit time integration. This method is particularly suitable for high-velocity impacts, where severe nonlinearities arise due to large deformations, contact, and material failure. Given that non-zero yaw angles break axial symmetry, the problem was modeled in three dimensions, since two-dimensional planar or axisymmetric formulations cannot capture the asymmetric stress and failure fields associated with yaw-induced impacts.
The target was defined as a square SAE 4340 steel plate, 200 mm × 200 mm × 10 mm. Its constitutive and failure behavior followed the Johnson-Cook plasticity law (Johnson and Cook, 1983) and the Johnson–Cook failure model (Johnson and Cook, 1985), with parameters given in Table 1.
Table 1
Material parameters for SAE 4340 steel used in the Johnson–Cook plasticity (1983) and failure (1985) models.
A (MPa) | B (MPa) | C | m | n | E (GPa) | ρ (kg/m3) | ν |
|---|
792 | 510 | 0.014 | 1.03 | 0.26 | 200 | 7830 | 0.29 |
D1 | D2 | D3 | D4 | D5 | Tm (K) | Cp (J/kg·K) | |
0.05 | 3.44 | –2.12 | 0.002 | 0.61 | 1793 | 477 | |
These values include elastic modulus (E), density (ρ), Poisson’s ratio (ν), and specific heat (Cₚ), in addition to the constants required for the constitutive and fracture models. The projectile was modeled as a rigid blunt-faced cylinder with diameter 7.62 mm, length 22.86 mm (aspect ratio 3.0), and mass 8.16 g, also made of SAE 4340 steel. Treating the projectile as rigid is a common approximation when the penetrator material is significantly harder than the target and deformation is negligible compared to the plate response (Li and Goldsmith, 1996b). This assumption was later verified by inspecting deformation levels in control runs. Figure 2 illustrates the mesh scheme of the target, while Fig. 3 shows the projectile mesh, both generated in ANSYS.
Mesh design plays a central role in impact simulations, as local stress and strain gradients around the perforation zone require fine resolution. To address this, the plate was divided into two regions: a central square region (40 mm side) with refined elements, ensuring accurate tracking of material deformation in the perforation zone; and an outer region meshed more coarsely, to reduce the total number of elements and simulation time. Three characteristic element sizes were investigated in the refined region: 0.625 mm, 0.500 mm, and 0.400 mm, while the outer region was fixed at 10 mm. Hexahedral elements were employed to minimize volumetric locking and ensure accurate integration (ANSYS, 2022b).
Mesh quality was assessed using the standard element quality metric
Q =
kV(
)
–3/2, where
V is element volume,
li are edge lengths, and
k is a constant, which for the hexahedron is
. Values above 0.2 were considered acceptable (ANSYS,
2022c). The resulting element counts and quality metrics are reported in Table
2. The projectile mesh was generated by the axisymmetric sweep algorithm, ensuring consistent refinement along its geometry. This procedure, shown in Fig.
3, produced meshes with increasing element counts proportional to refinement levels.
Table 2
Element and node counts, and minimum mesh quality values, for the target plate and projectile at different refinement levels.
Body | Mesh 0.625 mm | Mesh 0.500 mm | Mesh 0.400 mm |
|---|
Elements | Nodes | Elements | Nodes | Elements | Nodes |
|---|
Plate – Outer region | 384 | 864 | 384 | 864 | 384 | 864 |
Plate – Center | 65536 | 71825 | 12800 | 137781 | 250000 | 265526 |
Projectile | 3996 | 4598 | 7176 | 7943 | 11628 | 12586 |
Total | 69916 | 77287 | 135560 | 146588 | 262012 | 278976 |
Mesh Quality | 0.86 | 0.71 | 0.54 |
The projectile was initially positioned 5 mm from the plate surface, with a prescribed yaw angle α ∈ {0°, 5°, 10°, 15°, 20°, 25°, 30°, 45°, 60°, 75°, 85°, 90°}. This gap ensured proper separation of bodies during meshing and allowed the projectile to approach at its defined orientation (Fig. 4). Impact velocities ranged from 580 m/s to 2600 m/s, encompassing sub-ballistic and fully perforating regimes. The plate was clamped along all four lateral edges, imposing zero displacement, consistent with previous ballistic simulations (Dey et al., 2004; Børvik et al., 2009). Each simulation was run for 200 µs of physical time, sufficient to capture projectile perforation and stabilize residual velocity.
Contact interactions were modeled using the penalty algorithm with the trajectory method for detection. Sliding was handled via the discrete surface method, and self-contact was activated with a tolerance of 0.2. Frictionless contact was assumed in the baseline simulations, while sensitivity to finite friction was assessed
A
in supplementary runs.
Failure-induced element erosion followed the Johnson-Cook cumulative damage criterion (Section 2.3). Additionally, a geometric deformation limit was applied with a factor of 2.0, preventing element distortion from destabilizing the solution. Eroded elements were retained with mass and inertia to conserve system energy, following best practices in explicit dynamics.
For each case, the projectile’s center-of-mass velocity vector was extracted at the end of the simulation. The residual velocity (vr) was then computed as its magnitude. These data were used to calibrate the Lambert–Jonas model (Eq. 1) and determine the ballistic limit velocity (vbl) for each yaw angle and mesh size.
4 Results and Discussion
All numerical simulations successfully converged across the investigated range of impact velocities and yaw angles. The results are presented below, organized into qualitative analysis of penetration kinematics, residual velocity curves and ballistic-limit extraction, mesh dependence and normalization, and evolution of Lambert-Jonas parameters as indicators of fracture-mechanism transition.
4.1 Penetration kinematics
Vayig and Rosenberg (2021) reported that for α ≤ 30°, projectiles initially rotate around their yaw axis but subsequently stabilize and advance at nearly constant orientation. A similar behavior was observed here. For yaw angles up to 45°, the velocity vector of the projectile tended to align with its axis after initial penetration, producing ductile hole enlargement in the plate. For α ≥ 60°, however, the projectile penetrated laterally with minimal yaw evolution, suggesting shear-dominated plugging. Figure 5 illustrates the temporal sequence of perforation for α = 15° at vi = 800 m/s. Smooth and continuous plate deformations were observed, with no abrupt displacements at the boundaries, indicating that the plate dimensions were sufficient to accommodate plastic flow without significant edge effects.
4.2 Residual velocity curves and ballistic limit
The residual velocity curves followed the expected monotonic trend of the Lambert-Jonas formulation. Figure 6 shows vr versus vi for α = 15° with the 0.625 mm mesh, while Fig. 7 compares residual velocities for multiple yaw angles and mesh densities (0.625, 0.500, and 0.400 mm). In all cases, vr increased monotonically with vi, and the Lambert–Jonas fits reproduced the data well, confirming the robustness of the regression procedure.
The corresponding ballistic limits extracted from these regressions exhibited a clear dependence on yaw angle. For each mesh size, vbl increased with yaw, reached a maximum in the range α = 60–75°, and then decreased at larger angles. This non-monotonic behavior is central to understanding the transition between ductile and shear-dominated failure.
4.3 Mesh dependence and normalization
As expected, vbl was mesh-sensitive, i.e. finer meshes produced slightly lower ballistic limits, consistent with literature reports of non-convergent behavior in ballistic simulations (Børvik et al., 2009; Vayig and Rosenberg, 2023). Figure 8 presents vbl as a function of element density for selected yaw angles (0°, 5°, 10°), demonstrating the trend of decreasing ballistic limit with refinement.
To overcome this dependence, results were normalized by the ballistic limit for normal impact, vbl0 = vbl(α = 0°). This procedure collapsed the three mesh-dependent curves into a single dimensionless master curve of vbl/vbl0 versus α. Figure 9 shows this normalization: for α ≤ 45°, the overlap was nearly perfect across mesh sizes, while for α ≥ 60°, small discrepancies appeared but the averaged behavior remained robust.
This confirms that normalization yields a mesh-independent description of yaw effects. The normalized data were fitted to a cubic polynomial in α (in radians) as
vbl/vbl0 = b0 + b1α + b2α2 + b3α 3 (5)
with coefficients b0 = 0.9812, b1 = 0.5467, b2 = 1.2852, and b3 = − 0.8. This correlation captures the essential non-monotonic behavior and provides a compact design tool once the reference ballistic limit is known.
4.4 Evolution of Lambert-Jonas parameters
The dimensionless Lambert-Jonas parameters a and p provide further insight into the fracture mechanisms. Figure 10 shows their evolution with yaw angle. For normal impact (α = 0°), a ≈ 0.76 and p ≈ 2.0. As α increased to 45°, a rose slightly while p decreased substantially, consistent with a transition toward more ductile hole enlargement. At α = 60°, however, a dropped sharply while p returned to ~ 2.0, signaling a shift to shear-dominated plugging. Beyond 75°, both parameters varied irregularly across meshes, reflecting the higher sensitivity of extreme yaw angles to numerical resolution.
Table 4 compiles the values of vbl, a, p, and the regression error (RMSE). The consistency of these parameters across mesh sizes reinforces the interpretation of a fracture-mechanism transition occurring between α = 45° and α = 60°.
Table 4
Ballistic limit velocity (vbl), Lambert-Jonas parameters (a and p), and root mean square error (RMSE) for different yaw angles and mesh sizes.
Yaw angle (°) | Mesh 0.625 mm | Mesh 0.500 mm | Mesh 0.400 mm |
|---|
vbl | a | p | RMSE | vbl | a | p | RMSE | vbl | a | p | RMSE |
|---|
0 | 635 | 0.766 | 2.0 | 4.4 | 611 | 0.771 | 2.0 | 3.3 | 592 | 0.743 | 2.1 | 2.1 |
5 | 663 | 0.775 | 1.9 | 3.0 | 628 | 0.784 | 1.9 | 4.5 | 607 | 0.793 | 1.9 | 3.0 |
10 | 690 | 0.770 | 1.9 | 3.3 | 671 | 0.773 | 1.9 | 3.7 | 639 | 0.795 | 1.8 | 4.8 |
15 | 765 | 0.748 | 1.9 | 3.4 | 735 | 0.749 | 1.9 | 7.5 | 693 | 0.769 | 1.8 | 5.0 |
20 | 823 | 0.743 | 1.7 | 4.5 | 786 | 0.788 | 1.6 | 5.6 | 764 | 0.770 | 1.7 | 2.5 |
25 | 900 | 0.795 | 1.5 | 6.8 | 863 | 0.817 | 1.5 | 4.1 | 830 | 0.815 | 1.5 | 4.7 |
30 | 954 | 0.824 | 1.4 | 4.4 | 933 | 0.808 | 1.5 | 5.5 | 900 | 0.806 | 1.5 | 2.9 |
45 | 1137 | 0.846 | 1.3 | 5.1 | 1089 | 0.912 | 1.2 | 9.4 | 1076 | 0.818 | 1.4 | 10.6 |
60 | 1298 | 0.629 | 2.0 | 7.7 | 1292 | 0.628 | 2.1 | 12.1 | 1245 | 0.639 | 2.0 | 6.7 |
75 | 1286 | 0.568 | 2.2 | 6.7 | 1272 | 0.575 | 2.3 | 7.9 | 1244 | 0.597 | 2.1 | 6.8 |
85 | 1243 | 0.521 | 2.6 | 5.9 | 1220 | 0.522 | 2.8 | 10.0 | 1197 | 0.555 | 2.2 | 7.6 |
90 | 1194 | 0.525 | 2.0 | 27.8 | 1183 | 0.483 | 2.9 | 3.6 | 1175 | 0.531 | 2.5 | 4.3 |
4.5 Validation and Mechanistic Interpretation
To validate the numerical results, increments of the ballistic limit velocity vbl were compared with the experimental data of Goldsmith, Tam, and Tomer (1995) for yaw angles up to 20°. As shown in Table 5, good agreement was obtained for α ≤ 10°, while deviations larger than 5% appeared for α ≥ 15°. These discrepancies likely arise because the present simulations considered thicker plates (10 mm) and fully three-dimensional yaw conditions, whereas the reference experiments involved thinner targets and smaller yaw angles. Nevertheless, the qualitative agreement reinforces the credibility of the model, while highlighting its ability to extend the analysis beyond the range of available experiments.
Table 5
Relative increase of ballistic limit velocity (vbl) with yaw angle compared with the experimental and theoretical values of Goldsmith, Tam, and Tomer (1995).
Yaw angle (°) | Average Increment | Experimental Reference | Theoretical Reference |
|---|
0 | 0.0% | 0% | 0% |
5 | 3.2% | 2% – 4.5% | 5.30% |
10 | 8.8% | 3.9% – 7.5% | 9.20% |
15 | 19.3% | 7.8% – 9.8% | 13.70% |
20 | 29.1% | 12.60% | - |
25 | 41.1% | - | - |
30 | 51.7% | - | - |
45 | 79.7% | - | - |
60 | 108.6% | - | - |
75 | 106.9% | - | - |
85 | 99.2% | - | - |
90 | 93.4% | - | - |
More importantly, the present results uncover trends not previously documented in the literature. The non-monotonic evolution of vbl with yaw angle, including the pronounced maximum at 60–75°, suggests that yaw does more than simply increase ballistic resistance. It modifies the governing fracture mechanism. For α ≤ 45°, the projectile tends to realign with its velocity vector after impact, and perforation occurs primarily through ductile hole enlargement. Between α = 45° and α = 60°, the abrupt changes in the Lambert-Jonas parameters a and p (Fig. 10) indicate a transition toward shear-dominated plugging. At higher yaw angles (α ≥ 75°), the reduction in vbl reflects inefficient momentum transfer and unstable penetration modes.
These observations can be directly interpreted within the Johnson-Cook failure framework (Section 2.3). Yaw alters the local stress triaxiality (σₘ/σₑq) at the projectile–target interface, thereby changing the effective fracture strain (εᶠ). Low yaw promotes tensile-dominated states favoring ductile tearing, while high yaw enhances shear localization leading to plugging. The combined evidence from normalized ballistic limits, Lambert-Jonas parameters, and penetration kinematics therefore substantiates the conclusion that a fracture-mechanism transition occurs in the interval 45° ≤ α ≤ 60°.
By connecting simulation results to both classical experiments and constitutive-based fracture theory, this section strengthens the reliability of the proposed model and situates yaw as a governing variable in dynamic fracture mechanics of ductile plates.
5 Conclusion
This work presented a computational investigation into the role of total yaw angle α on the ballistic limit velocity of blunt cylindrical projectiles impacting 4340 steel plates. Using three-dimensional finite element simulations with Johnson-Cook plasticity and failure models, it was possible to capture the combined effects of projectile orientation, material response, and mesh discretization on perforation mechanisms. The results demonstrate that yaw is not a minor perturbation but a governing variable in the fracture mechanics of ductile plate perforation.
The simulations revealed that increasing yaw generally elevates the ballistic limit compared to normal impact, but this effect is non-monotonic. A pronounced maximum was observed between 60° and 75°, where the ballistic limit approximately doubled relative to α = 0°. At higher angles, however, the ballistic limit decreased, showing that yaw does not indefinitely enhance resistance but instead triggers distinct perforation regimes. This non-monotonic trend was robust across mesh densities, and normalization by the normal-impact case collapsed the results into a mesh-independent master curve. Such normalization not only overcomes numerical sensitivity but also provides a practical predictive framework, which was successfully represented by a cubic polynomial correlation in yaw angle.
Beyond quantitative trends, the study provided mechanistic insights into the transition of fracture modes. For yaw angles up to 45°, the projectile tended to realign during penetration, producing ductile hole enlargement governed by tensile-dominated states. Between 45° and 60°, however, abrupt variations in the Lambert-Jonas parameters indicated a shift in governing mechanisms. At these orientations, projectiles penetrated laterally with limited reorientation, consistent with shear localization and plugging. The Johnson-Cook failure criterion, with its explicit dependence on stress triaxiality, explains this behavior: low yaw favors void growth and ductile tearing, while high yaw enhances shear-driven fracture. The agreement with available experimental data for small yaw angles further strengthens the reliability of these interpretations, while the extension to large yaw angles reveals phenomena not previously documented.
In conclusion, yaw emerges as a critical parameter for both the quantitative description and the mechanistic understanding of ballistic plate perforation. By combining mesh-independent normalization, regression with the Lambert-Jonas model, and fracture-based interpretation of simulation results, this work establishes a bridge between empirical ballistic-limit analysis and the theoretical framework of fracture mechanics. Future efforts should expand this approach to multilayer targets, different material systems, and dedicated experiments at large yaw, consolidating yaw as a central design variable in the mechanics of protective structures.
Acknowledgements
The authors thank Dr. G. B. Micheli of INMETRO (Brazil) and L. S. Santos of DPF (Brazil) for the valuable discussion about the results. We also thank the financial support given by FAPERJ (E-26/210.067/2021, E-26/211.046/2021, E-26/211.408/2021, E-26/201.251/2022) and CNPq (409754/2023-4).
A
Author Contribution
L. C. F. was the lead author of the work, responsible for conducting the research, performing the computational simulations, and preparing the first draft of the manuscript.F. C. P. acted as the secondary supervisor of the project. He critically reviewed the manuscript, identified and shaped the main intellectual and scientific contributions, and performed the statistical analysis of the dataJ. N. acted as the main supervisor of the project. He critically reviewed the manuscript, identified and shaped the main intellectual and scientific contributions, and provided the laboratory infrastructure necessary for the execution of the research.All authors read and approved the final version of the manuscript.
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