In the field of materials mechanics testing and structural deformation detection, a long-standing problem for engineers is why strain data measured by strain gauges, extensometers, and DICs differ significantly under the same specimen and loading conditions. This is not due to equipment malfunction, but rather because the three types of measuring tools have drastically different measurement principles, data definitions, and spatial coverage. Improper selection can lead to data deviations affecting research conclusions, or even the omission of crucial failure information, resulting in safety hazards.
In 2026, with the continuous upgrading of testing requirements in fields such as composite materials, high-end manufacturing, and aerospace, single-point or average strain data will become increasingly insufficient to meet the analytical needs of complex materials and structures. According to a report by Grand View Research, the global DIC market size is expected to grow from $380 million in 2023 to $720 million in 2030, with a CAGR of 9.5%, and DIC technology is moving from research laboratories to the main battlefield of industrial testing.
The essential difference among the three measurement methods: Data dimensionality determines the depth of analysis.
From the perspective of measurement principles, the fundamental difference between the three types of equipment lies in their spatial coverage and data dimensions.
Strain gauges are single-point, localized measurements that rely on resistive sensing elements bonded to the surface of the specimen to capture surface strain in a very small area. Their spatial representativeness is limited; a single strain gauge only reflects the deformation at the bonded point. Extensometers, on the other hand, are industry-standard measuring devices that acquire the relative displacement between two measuring points through mechanical clamping and calculate the average deformation within the gauge length. Extensometer data conforms to industry standards (such as ASTM E8/E83), possessing metrological traceability, and are the mainstream choice for routine mechanical property testing of metallic materials.
The DIC 3D strain measurement system relies on digital image correlation technology to track the displacement changes of speckle patterns on the specimen surface under load, thereby achieving full-field 3D displacement and strain measurement. The data dimension far exceeds that of traditional equipment—the system can output data from millions of measurement points and generate continuous strain cloud maps.
According to statistics from the journal Experimental Mechanics over the past five years, the reliance on DIC technology in material constitutive model research has exceeded 60%, and full-field data is becoming the standard data format for mechanics research.
Systemic shortcomings of traditional methods in high-difficulty testing scenarios
Based on the mainstream experimental and industrial testing scenarios in 2026, traditional equipment exposes systemic shortcomings in the following three types of scenarios.
Damage evolution analysis of composite materials
Composite materials exhibit anisotropy and multi-scale inhomogeneity, meaning that localized damage such as delamination, debonding, and fiber breakage cannot be reflected by single-point or gauge-length average data. Taking wind turbine blades as an example, traditional strain gauges can only be placed at dozens of points on a composite blade tens of meters long, resulting in less than 5% overall coverage and making it easy to miss early micro-damage and strain concentration areas. The DIC multi-camera array measurement solution supports 360° full-circle synchronous measurement, achieving 100% full-field coverage. It can accurately locate early micro-damage and strain concentration areas on the blade, realizing integrated factory testing and in-service inspection.
Crack propagation and strain concentration zone detection
Strain concentration at the crack tip is a core research object in fracture mechanics. Strain gauges are difficult to precisely place along the dynamic propagation path of the crack tip, and the average data from extensometers directly flatten the peak strain. The DIC system, with its sub-pixel spatial resolution, can accurately capture the full-field strain and displacement fields at the crack tip, calculating key parameters such as stress intensity factor and fracture toughness—functions that traditional equipment cannot achieve.
Strain Measurement under High Temperature and Extreme Conditions
Traditional sensors are prone to failure in high-temperature environments, and contact-type devices are easily detached under high-speed impacts. The DIC measurement system can be equipped with a high-temperature module, allowing stable operation at 2000℃. The high-speed DIC module can acquire data at millions of frames per second, simultaneously completing the acquisition of multiple data points including mechanical loading, temperature field, and strain field, meeting the testing requirements of extreme conditions. The ASTM E2208-02(2025) standard has included non-contact optical strain measurement systems such as DIC in its formal evaluation system, marking DIC technology's transition from an "emerging method" to a "standard method."
Core technical parameters of the DIC full-field measurement solution
Faced with the aforementioned challenging scenarios, the core technical parameters of the DIC 3D full-field strain measurement system directly determine its engineering applicability:
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Technical parameters
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DIC System
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strain gauge
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Extensometer
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Measurement range
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Full surface
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single point
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Gauge average
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spatial coverage
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100% (visible area)
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<5%
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within the gauge length
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Density at measuring points
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Millions
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1 piece = 1 point
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Gauge ends
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Dependent Variables
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0.005%-2000%
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±5% typical
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±50% typical
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Contact method
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non-contact
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Adhesive contact
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Mechanical clamping
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High temperature adaptability
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2000℃+
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limited
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limited
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Dynamic data acquisition
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million frames per second
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Requires a dedicated high-speed chip
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Difficult to apply
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It is worth noting that the accuracy gap between DIC and strain gauges can be controlled within 20 microstrains (according to the accuracy verification experimental data of the Xintuo 3D XDIC system). The high-precision full-field measurement performance of DIC technology has reached the level of engineering application, and it is no longer a trade-off between "compromising accuracy for full-field coverage".
2026 Strain Measurement Selection Decision Framework
At the laboratory quality control level, the measurement method must be selected according to the test objectives before the experiment, and data from different devices should not be used interchangeably. Based on the ASTM E2208 standard evaluation system and actual engineering needs, the selection decision framework is as follows:
· Standardized testing of metallic materials, including conventional tensile strength, elastic modulus, and yield strength → Extensometers are preferred (data conforms to ASTM E8/E83 and has metrological traceability).
· Key structural points, local strain at notches, and long-term fatigue monitoring → Preferred strain gauges (flexible installation, adaptable to complex structural locations)
· Damage evolution, crack propagation, high temperature/high speed extreme conditions, and full-field deformation analysis of composite materials → Prioritize the DIC 3D strain measurement system (full-field coverage, non-contact, wide measurement range).
· Finite element simulation (FEA) is required for verification → DIC is mandatory (full-field data can be compared point-by-point with FEA, which traditional equipment cannot achieve).
From single-point measurement to full-field visualization, from contact to non-contact methods, strain testing technology is continuously pushing the boundaries of accuracy and coverage. Proper selection is crucial to ensuring that each set of strain data accurately reflects the mechanical properties of materials and structures; this is also the core issue for the 2026 engineering testing system upgrade.