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Strain rate

Strain rate is the rate at which a material undergoes deformation, formally defined as the time derivative of the strain tensor, \dot{\epsilon} = \frac{d\epsilon}{dt}, where \epsilon represents the strain.^[1] This quantity quantifies the speed of shape or size change in a continuum under applied stress, with typical units of inverse seconds (s⁻¹) in engineering contexts or inverse years (yr⁻¹) in geological applications.^[1]^[2] In continuum mechanics, the strain rate tensor describes both extensional and shear deformation rates, derived from the velocity gradient of the material, and is symmetric by definition.^[3] For fluids, it governs viscous flow, linking stress to deformation speed via constitutive relations like those in Newtonian fluids, where stress is proportional to strain rate.^[4] In solids, strain rate influences viscoelastic and plastic behaviors, with many materials exhibiting strain rate sensitivity, where flow stress increases at higher rates due to mechanisms like dislocation dynamics or thermal activation.^[5]^[6] Material responses vary widely by strain rate regime: quasi-static rates (10⁻⁴ to 10⁻¹ s⁻¹) mimic slow loading in tensile tests, while dynamic rates (up to 10⁶ s⁻¹) occur in impacts or explosions, often enhancing strength but reducing ductility in metals.^[1] In geophysics, low strain rates (e.g., 10⁻¹⁴ s⁻¹) characterize tectonic deformation, affecting rock rheology over geological timescales.^[2] Applications span manufacturing processes like wire drawing, where strain rate controls work hardening, to crashworthiness testing and ballistic impacts, necessitating specialized high-rate experimentation.^[1]^[7]

Fundamentals

Definition

Strain rate is defined as the rate of change of strain with respect to time, mathematically expressed as \dot{\epsilon} = \frac{d\epsilon}{dt}, where \epsilon represents the strain, a dimensionless quantity that quantifies the relative deformation of a material.^[8] This temporal derivative captures the dynamics of how quickly a material deforms under applied loads, distinguishing it from static strain measures.^[8] Unlike strain itself, which lacks temporal dimensions and serves as a geometric descriptor of deformation, strain rate incorporates time and thus has units of inverse seconds (s⁻¹), reflecting the speed of deformation processes in materials.^[8] The concept originated in the foundations of continuum mechanics, with early developments in the 18th century by Leonhard Euler, who introduced the rate-of-deformation tensor as part of fluid dynamics descriptions.^[9] In the early 20th century, researchers like Ludwig Prandtl and Eugene C. Bingham advanced its application in rheology, emphasizing strain rate's role in modeling viscous and plastic flows of non-Newtonian materials such as paints and suspensions.^[10] In elastic materials, strain rate primarily influences the rate of loading, where deformation recovers fully upon stress removal, though high rates can introduce inertial or wave propagation effects.^[11] For plastic materials, increasing strain rate typically raises the flow stress and yield strength due to limited dislocation mobility, enhancing material resistance to deformation at faster rates.^[12] In viscous materials, particularly Newtonian fluids, the shear stress is directly proportional to the strain rate, with the proportionality constant being the dynamic viscosity, governing steady flow behaviors.^[13] A constant strain rate results in strain accumulating linearly with time (\epsilon = \dot{\epsilon} t), implying uniform, progressive deformation without acceleration or deceleration in the deformation process.^[8] For more complex, multidirectional deformations, the scalar strain rate generalizes to the strain-rate tensor, which describes the full velocity gradient in continuum fields.^[14]

Units and Measurement

Strain rate is quantified using inverse time units in the SI system, specifically s⁻¹, reflecting the temporal derivative of dimensionless strain.^[8] In materials science applications, strain rates span a wide range: quasi-static conditions typically involve rates from 10⁻⁵ to 10⁻¹ s⁻¹, such as in standard tensile testing, while high-speed impacts can reach 10³ to 10⁶ s⁻¹, as encountered in ballistic or explosive scenarios.^[15]^[16] In normalized or non-dimensional analyses, strain rate often contributes to dimensionless groups that characterize material behavior relative to intrinsic timescales; for instance, the Weissenberg number, Wi = \dot{\epsilon} \lambda (where \lambda is the material's relaxation time), assesses the ratio of elastic to viscous response in viscoelastic flows.^[17] Measuring strain rate at elevated levels presents challenges, particularly from inertial effects that add extraneous forces to load cells and machine compliance, which distorts displacement records and reduces accuracy in dynamic tests.^[18]^[19] For uniaxial scenarios, the relationship between engineering strain rate \dot{\epsilon}{eng} and true (logarithmic) strain rate \dot{\epsilon}{true} accounts for evolving specimen geometry, given by

\dot{\epsilon}_{true} = \frac{\dot{\epsilon}_{eng}}{1 + \epsilon_{eng}}

where \epsilon_{eng} is the accumulated engineering strain; this conversion ensures consistency in interpreting deformation paths beyond small strains.^[20]

Simple Deformations

Uniaxial Strain Rate

Uniaxial strain rate describes the time rate of change of length in a material subjected to one-dimensional tension or compression along a principal axis. It is mathematically defined as \dot{\epsilon} = \frac{1}{L} \frac{dL}{dt}, where L is the current length of the specimen and \frac{dL}{dt} represents the instantaneous rate of length change.^[21] This formulation captures the relative elongation or contraction per unit time, serving as a key parameter in assessing deformation kinetics under controlled loading.^[22] Equivalently, the uniaxial strain rate can be related to the relative velocity of the deforming ends as \dot{\epsilon} = \frac{v}{L}, where v = \frac{dL}{dt} is the velocity difference across the length L.^[21] This relation is particularly useful in experimental setups where displacement is imposed at a constant speed. In Hookean solids, which exhibit linear elastic behavior, the stress-strain response follows Hooke's law (\sigma = E \epsilon) and remains independent of the strain rate, as viscous effects are negligible. However, in viscoplastic materials, the mechanical response is rate-dependent; for instance, the yield stress typically increases with higher \dot{\epsilon}, reflecting enhanced resistance to plastic flow due to time-dependent dislocation dynamics and internal friction.^[23] A practical illustration occurs in uniaxial tensile testing conducted at a constant crosshead speed, where the nominal strain rate \dot{\epsilon}_n = \frac{v}{L_0} (with L_0 as the initial gauge length) is maintained throughout the test.^[21] Prior to necking, this nominal rate approximates the true (instantaneous) strain rate \dot{\epsilon} = \frac{1}{L} \frac{dL}{dt}. After necking initiates, localized deformation concentrates in the reduced cross-section, causing the true strain rate within the neck to rise sharply—often by a factor of 5 to 10 or more compared to the nominal value—due to the decreasing local length and accelerating deformation.^[24] This discrepancy highlights the importance of distinguishing between nominal and true measures for accurate material characterization at elevated strains.^[25] This one-dimensional formulation represents a simplified case of the general strain-rate tensor, which extends the concept to three-dimensional deformations by incorporating off-diagonal shear components.^[26]

Volumetric Strain Rate

The volumetric strain rate, denoted \dot{\epsilon}_v, quantifies the rate of change in a material's volume relative to its current volume and is defined mathematically as \dot{\epsilon}_v = \frac{1}{V} \frac{dV}{dt}, where V is the volume and t is time.^[27] This scalar measure arises from the isotropic component of deformation and equals the trace of the strain-rate tensor, representing the sum of the normal components of the tensor in a coordinate system aligned with the principal directions.^[28] In principal coordinates, it simplifies to \dot{\epsilon}_v = \dot{\epsilon}_1 + \dot{\epsilon}_2 + \dot{\epsilon}_3, where \dot{\epsilon}_1, \dot{\epsilon}_2, and \dot{\epsilon}_3 are the principal strain rates, highlighting its role as the first invariant of the tensor.^[29] In applications involving compressible materials such as soils and granular media, the volumetric strain rate is particularly significant during shear processes, where a positive value (\dot{\epsilon}_v > 0) signifies dilatancy—the tendency for the material to expand in volume as particles rearrange to overcome interlocking.^[30] This phenomenon, first systematically described by Osborne Reynolds in his 1885 experiments on saturated sand, explains enhanced shear resistance in dense granular assemblies and is critical for geotechnical stability analyses, such as in slope failures or earthquake-induced liquefaction.^[31] In contrast, metals under plastic deformation exhibit near-incompressibility, with \dot{\epsilon}_v = 0, as the material flow preserves volume due to the dominance of deviatoric mechanisms in models like von Mises plasticity.^[32] The influence of Poisson's ratio \nu on volumetric strain rate is evident in uniaxial loading scenarios, where lateral contractions modulate the overall volume change. For an axial strain rate \dot{\epsilon}_z, the volumetric strain rate follows \dot{\epsilon}_v = (1 - 2\nu) \dot{\epsilon}_z, such that materials with \nu approaching 0.5—common in rubbers and plastically deforming metals—yield negligible volumetric rates, emphasizing the transition from compressible to incompressible behavior.^[33] This relation underscores the material-specific nature of volume changes, guiding the selection of testing protocols to isolate dilatational effects in heterogeneous systems.

Advanced Formulation

Strain-Rate Tensor

In continuum mechanics, the strain-rate tensor, often denoted as \mathbf{D}, quantifies the rate of deformation in a material and is defined as the symmetric part of the velocity gradient tensor \mathbf{L} = \nabla \mathbf{v}, where \mathbf{v} is the velocity field.^[34] Specifically, \mathbf{D} = \frac{1}{2} \left( \nabla \mathbf{v} + (\nabla \mathbf{v})^T \right), which isolates the pure deformation component by excluding the antisymmetric rotation or vorticity effects captured in the skew-symmetric part \mathbf{W} = \frac{1}{2} \left( \nabla \mathbf{v} - (\nabla \mathbf{v})^T \right).^[34] This decomposition ensures that \mathbf{D} describes only the stretching and shearing motions relevant to material response.^[35] In Cartesian coordinates, the components of the strain-rate tensor are given by

D_{ij} = \frac{1}{2} \left( \frac{\partial v_i}{\partial x_j} + \frac{\partial v_j}{\partial x_i} \right),

where i, j = 1, 2, 3 correspond to the spatial directions, and the symmetry D_{ij} = D_{ji} follows directly from the definition.^[34] These components arise from the spatial derivatives of the velocity field, representing how velocity variations across infinitesimal distances contribute to deformation rates.^[36] The diagonal elements D_{ii} (no summation) physically represent the normal strain rates, or fractional rates of extension or compression along the coordinate axes, while the off-diagonal elements D_{ij} (for i \neq j) correspond to one-half the engineering shear strain rates, quantifying the rate of angular distortion in the coordinate planes.^[34] For instance, in the special case of uniaxial strain rate along a principal direction, the off-diagonal components vanish, reducing \mathbf{D} to a diagonal form with a single non-zero entry.^[36] In rotating or non-inertial frames, the material time derivative of \mathbf{D} is not frame-indifferent, necessitating objective corotational rates to maintain physical consistency under superposed rigid-body motions.^[35] Common objective rates include the Jaumann derivative, \overset{\circ}{\mathbf{D}} = \dot{\mathbf{D}} + \mathbf{D} \mathbf{W} - \mathbf{W} \mathbf{D}, which corrects for vorticity-induced rotations, and the Oldroyd derivative, \overset{\nabla}{\mathbf{D}} = \dot{\mathbf{D}} - \mathbf{L} \mathbf{D} - \mathbf{D} \mathbf{L}^T, which additionally accounts for convective effects from the full velocity gradient.^[35] These formulations ensure that the strain-rate tensor's evolution is invariant across observers, crucial for constitutive modeling in complex flows.^[35]

Invariants and Decomposition

The strain-rate tensor \mathbf{D} is characterized by three principal scalar invariants, which provide coordinate-independent measures essential for analyzing deformation in continuum mechanics. The first invariant, I_1 = \mathrm{tr}(\mathbf{D}), corresponds directly to the volumetric strain rate \dot{\epsilon}_v, quantifying the rate of relative volume change in the material.^[35] This trace operation links the tensor to isotropic expansion or contraction effects. The second invariant is given by

I_2 = \frac{1}{2} \left( (\mathrm{tr}(\mathbf{D}))^2 - \mathrm{tr}(\mathbf{D}^2) \right),

which captures interactions between the normal components of deformation, often relating to the magnitude of shear distortions.^[37] The third invariant, I_3 = \det(\mathbf{D}), represents the determinant of the tensor and indicates the overall orientation and scaling of the principal strain rates, with its sign distinguishing between different deformation regimes such as extension or compression.^[35] These invariants, particularly I_2 and I_3, play a critical role in constitutive models, including flow rules for viscoplasticity, where they help define the direction and magnitude of plastic strain increments.^[37] A key decomposition of the strain-rate tensor separates its behavior into volumetric and deviatoric contributions, facilitating the isolation of volume-changing and shape-changing mechanisms. This is expressed as \mathbf{D} = \mathbf{D}_{vol} + \mathbf{D}_{dev}, where the volumetric part is the isotropic component

\mathbf{D}_{vol} = \frac{1}{3} I_1 \mathbf{I},

with \mathbf{I} denoting the identity tensor, and the deviatoric part is the trace-free remainder \mathbf{D}_{dev} = \mathbf{D} - \mathbf{D}_{vol}.^[34] By construction, \mathrm{tr}(\mathbf{D}_{dev}) = 0, ensuring it solely describes distortion without dilation. This splitting is fundamental in both fluid and solid mechanics, as it aligns with the separation of hydrostatic pressure effects from shear stresses in constitutive relations.^[35] For applications in metal plasticity, the equivalent strain rate provides a scalar metric derived from the deviatoric component, enabling comparison to uniaxial test data. It is defined as

\dot{\epsilon}_{eq} = \sqrt{\frac{2}{3} \mathbf{D}_{dev} : \mathbf{D}_{dev}},

where the double contraction \mathbf{D}_{dev} : \mathbf{D}_{dev} sums the squares of the deviatoric components.^[38] This formulation ensures that under uniaxial tension, \dot{\epsilon}_{eq} matches the axial strain rate, and it is integral to the von Mises yield criterion, which posits yielding when the equivalent stress reaches a critical value tied to this rate measure.^[14] The factor \frac{2}{3} normalizes the multiaxial distortion energy to the uniaxial case, promoting its use in predicting ductile failure under complex loading.^[38]

Shear Phenomena

Shear Strain Rate

Shear strain rate quantifies the rate of angular deformation in a material, particularly through the off-diagonal components of the strain-rate tensor, which capture the distortion in planes such as the x-y plane. In continuum mechanics, the engineering shear strain rate, denoted \dot{\gamma}, is defined for simple shear as \dot{\gamma} = 2 D_{xy}, where D_{xy} is the xy-component of the symmetric strain-rate tensor given by D_{xy} = \frac{1}{2} \left( \frac{\partial v_x}{\partial y} + \frac{\partial v_y}{\partial x} \right), with v_x and v_y as velocity components.^[39]^[35] This definition arises from the velocity gradient tensor's symmetric part, excluding rigid-body rotation, and applies to both solids and fluids undergoing infinitesimal deformations.^[35] In Newtonian fluids, the shear strain rate directly relates to shear stress via the constitutive equation \tau = \mu \dot{\gamma}, where \tau is the shear stress and \mu is the dynamic viscosity, a material constant independent of the deformation rate.^[40] This linear relationship holds for common fluids like air and water, where the velocity gradient \frac{du}{dy} equals \dot{\gamma} in simple shear flows.^[40] For non-Newtonian materials, such as polymers, the response deviates from linearity, exhibiting shear-thinning or shear-thickening behaviors where the apparent viscosity \eta(\dot{\gamma}), defined as \eta = \frac{\tau}{\dot{\gamma}}, varies with the shear rate. In shear-thinning polymers like polyethylene, \eta(\dot{\gamma}) decreases with increasing \dot{\gamma}, for instance, dropping from approximately 40,000 Pa·s at 0.01 s⁻¹ to 1,000 Pa·s at 100 s⁻¹ due to alignment of polymer chains under flow.^[41] Conversely, shear-thickening occurs when \eta(\dot{\gamma}) increases with \dot{\gamma}, often in suspensions where particle interactions intensify at higher rates.^[41] A representative example is Couette flow, where a viscous fluid is sheared between two parallel plates separated by gap h, with one plate moving at velocity V relative to the stationary plate, yielding a constant shear rate \dot{\gamma} = \frac{V}{h}.^[42] This setup, common in viscometers, illustrates uniform simple shear and is used to measure viscosity by applying controlled motion and observing the resulting stress.^[42]

Sliding Rate

In the context of frictional sliding at interfaces, the sliding rate is defined as the relative velocity between contact surfaces divided by the thickness of the boundary layer or sheared zone, analogous to a local shear rate given by \dot{\gamma}_{slide} = \frac{\Delta v}{\delta}, where \Delta v is the velocity difference and \delta is the boundary layer thickness.^[43] This measure captures the intense deformation localized near the interface, distinguishing it from distributed volumetric strains. Rate-and-state friction laws describe how frictional strength depends on the sliding rate and an internal state variable representing contact history, with seminal formulations showing that friction \mu evolves as \mu = \mu_0 + a \ln(V/V_0) + b \ln(V_0 \theta / D_c), where V is the sliding velocity, \theta is the state variable, and a, b, D_c are material parameters.^[44]^[45] A key feature is velocity-weakening behavior, where b > a, causing friction to decrease with increasing sliding rate and promoting dynamic instabilities such as earthquakes on faults.^[46] In tribological applications, sliding rate governs stick-slip behavior, where contacts alternate between static adhesion (near-zero sliding rate) and rapid slips (high sliding rates, often exceeding 1 m/s in bursts), leading to vibrations and wear in systems like brakes or seismic faults.^[47] This cyclic jump in sliding rate arises from the transition between higher static friction and lower kinetic friction, amplifying energy dissipation at the interface.^[44] Unlike bulk shear strain rate, which distributes deformation across a continuum via velocity gradients, sliding rate is confined to thin shear zones (often microns thick) and is frequently modeled as a discontinuity in the velocity field across the interface.^[48] This localization emphasizes frictional and boundary effects over volumetric flow.

Experimental Methods

Strain Rate Testing

Strain rate testing involves applying controlled deformation rates to materials to characterize their mechanical response across different regimes, from slow loading to rapid impacts. These procedures ensure reproducible conditions for assessing properties like yield strength and ductility under varying dynamic conditions. Quasi-static testing employs universal testing machines equipped with servo-hydraulic actuators to achieve strain rates typically ranging from $10^{-4} to $10^{-1} s^{-1}. These machines apply gradual loads in tension, compression, or other modes, maintaining equilibrium between the specimen and the frame to measure force and displacement accurately.^[49]^[50] Intermediate strain rates, spanning $10^{1} to $10^{2} s^{-1}, are investigated using drop-weight towers that simulate impact by releasing a mass from a controlled height onto the specimen. This setup captures force-displacement curves during the brief deformation event, providing insights into transitional material behavior without requiring complex wave-based analysis.^[51] High strain rate testing utilizes the split-Hopkinson pressure bar (SHPB) apparatus to attain rates from $10^{2} to $10^{4} s^{-1}, relying on the propagation of elastic stress waves through incident, transmitted, and possibly reflected bars. A striker bar generates a compressive pulse that deforms the specimen sandwiched between the bars, with strain gauges recording wave arrivals to derive stress-strain data via one-dimensional wave theory.^[52]^[53] Standardized protocols, such as ASTM E8 for tensile testing of metallic materials, prescribe specific crosshead speeds corresponding to strain rates of approximately $10^{-4} s^{-1} in the elastic range, with provisions for higher speeds post-yield. To evaluate strain rate sensitivity, tests are conducted at multiple \dot{\epsilon} levels, observing how properties like yield strength increase with faster rates due to viscoelastic or inertial effects.^[54]^[53]

Measurement Techniques

Strain gauges provide direct measurement of local strain rate \dot{\epsilon} by detecting changes in electrical resistance caused by deformation in a metallic foil grid bonded to the specimen surface.^[55] These devices offer high resolution, typically down to 1.0 microstrain, and are suitable for localized monitoring during quasi-static to moderate dynamic tests, though they are limited to strains below 10% due to potential gauge failure.^[55] Extensometers complement strain gauges by measuring displacement over a gauge length using contacting mechanisms such as knife-edged clips or non-contact optical tracking, achieving accuracies of ±1% of full-scale displacement and enabling precise calculation of average \dot{\epsilon} via differentiation of time-resolved position data.^[55] High-speed imaging techniques, particularly digital image correlation (DIC), enable full-field strain rate measurements by tracking deformations across the specimen surface using stochastic speckle patterns applied via paint or etching to provide high-contrast features for sub-pixel correlation.^[56] DIC systems employ stereoscopic high-speed cameras, capable of frame rates exceeding 1 million per second at 0.5 megapixel resolution, to quantify strain rates up to $10^5 s^{-1} in dynamic events like impacts, offering non-contact advantages over point-based sensors for heterogeneous deformation analysis.^[56] In split Hopkinson pressure bar (SHPB) tests, data correction for wave dispersion is essential to accurately derive strain rates from propagated pulses, as elastic waves in the bars attenuate and distort at higher frequencies. Numerical filters, such as low-pass implementations in the frequency domain, remove high-frequency noise by applying cutoff thresholds (e.g., 94 kHz for a 25 mm bar), while iterative phase and amplitude corrections using Fast Fourier Transform (FFT) adjust each Fourier component's phase based on Bancroft's dispersion equation to reconstruct undistorted signals over propagation distances like 1000 mm.^[57] These methods, often implemented via open-source algorithms, ensure reliable strain rate equilibrium by propagating reference windows at calibrated bar velocities, minimizing oscillations in stress-strain curves.^[58]^[57] Uncertainty analysis in dynamic strain rate measurements quantifies error propagation from key sources to ensure reliable \dot{\epsilon} values, particularly in high-speed tests where timing precision is critical. For strain gauges, uncertainties arise from factors like gauge factor variability, installation misalignment, and temperature effects, propagated analytically via the guide to the expression of uncertainty in measurement (GUM) formula u_c = \sqrt{\sum c_i^2 u(x_i)^2} or Monte Carlo simulations with $10^6 iterations, yielding typical strain uncertainties of 11.47 \mum/m at 95.45% coverage.^[59] In SHPB setups, displacement errors from wave speed calibration (relative uncertainty <0.05%) and synchronization offsets (up to ±2 ms) propagate linearly to strain, with larger averaging elements reducing relative strain errors by 30–80% in uniform marker configurations, while dispersion corrections introduce amplitude uncertainties up to 3%.^[60]^[61] These analyses, applied within strain rate testing protocols, validate data by assessing combined effects on stress-strain curves, ensuring uncertainties remain below 5% for robust material characterization.^[60]

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[PDF] Slip Instability and State Variable Friction Laws - Andy Ruina
This work leads to a general class of friction laws that may be described by using state variables. Copyright 1983 by the American Geophysical Union. Paper ...
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Slip instability and state variable friction laws - Ruina - AGU Journals
Dec 10, 1983 · State variable friction laws may superficially appear as a simple slip rate dependence, slip distance dependence, or time dependent static friction.
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Stick-Slip Phenomenon - an overview | ScienceDirect Topics
The stick-slip phenomenon (SSP) refers to the oscillation of contact bodies between a state of rest and a finite sliding speed, occurring under conditions ...
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[PDF] Rate and state dependent friction and the stability of sliding between ...
Abstract. We study the stability of steady sliding between elastically deformable continua using rate and state dependent friction laws.
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[PDF] Low to High Strain Rate Deformation of Amorphous Polymers
Uniaxial compression tests were performed at strain rates of 10-4 s-1 to 1 s-- using a servo-hydraulic testing machine.
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Dynamic Fatigue Testing | Instron
A dynamic testing machine performs repeated loading mechanical testing. Where a tensile testing machine would apply a quasi-static load to measure the yield ...Missing: 10^
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Design and Validation of a Symmetric Drop-Weight System for Tensile Intermediate Strain Rate Characterization
### Summary of Drop-Weight Towers for Intermediate Strain Rates
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Stress Wave Propagation Effects in Split Hopkinson Pressure Bar ...
Aug 9, 2025 · In this paper, analytical and numerical evidence is presented which shows that his apparent increase in the strain rate sensitivity reported in ...
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Review of Intermediate Strain Rate Testing Devices - MDPI
This review paper describes the development and evolution of the existing intermediate strain rate testing devices.
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ASTM E8: Standard & specimens for metals tensile test | ZwickRoell
The ASTM E8 / ASTM E8M standard describes uniaxial tensile testing of metals at room temperature and the determination of characteristic values.Missing: sensitivity multiple dot
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Contact Extensometers - an overview | ScienceDirect Topics
A contact extensometer is a device used for measuring strain and displacement in materials, typically employing two transducers attached to opposite faces ...
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Advancements and applications of digital image correlation to ...
Digital image correlation (DIC) has emerged as a versatile and powerful non-contact optical technique for measuring displacement, strain, and deformation ...
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An Open-Source Algorithm for Correcting Stress Wave Dispersion in ...
Jan 6, 2025 · The purpose of this work is to demonstrate the benefits of correcting stress wave dispersion in split-Hopkinson pressure bar experiments under various testing ...
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Data processing in the split Hopkinson pressure bar tests
### Summary of Data Processing for SHPB (Dispersion Correction and Strain Rate Calculation)
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(PDF) Determination of Measurement Uncertainty of Strain and ...
Aug 9, 2025 · The article deals with the determination of measurement uncertainty of strain and stress using resistance strain gages.<|control11|><|separator|>
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Estimating Measurement Uncertainty on Stress-Strain Curves from ...
Aug 6, 2025 · Split Hopkinson Pressure Bar tests are commonly used to determine material stress-strain relationship at high deformation rates.
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Displacement Error Propagation From Embedded Markers to Brain ...
Jun 16, 2021 · In this study, we parametrically investigate how displacement random errors and synchronization errors propagate into strain.