Design Optimization in CAE Simulation: DIC Strain Measurement Based on Mesh Models

In the field of engineering research and development, CAE The verification gap between simulation and physical experiments has always been a key bottleneck restricting product design accuracy. Traditional simulation relies on finite element models, while physical tests produce discrete strain gauge data or local dial gauge readings, with differing coordinate systems, data structures, and precision levels. However, an innovative measurement technology that integrates Digital Image Correlation (DIC) with finite element meshes is quietly changing this landscape. DIC is quietly changing this landscape.

1. Virtual-Physical Integration: DIC Technology bridges simulation and experiment

Strain measurement based on mesh models DIC focuses on directly mapping the full-field displacement data collected from experiments onto the mesh nodes of the model. CAE Taking EikoTwin DIC as a representative of the new generation system, it captures deformation images through digital photography, uses grayscale feature matching algorithms to calculate displacement fields, and directly visualizes strain distribution on finite element meshes. This process requires no additional sensors, effectively laying "virtual strain gauges" on the model surface to achieve full-field 3D strain mapping.

2023 In year , the Harbin Engineering University team proposed the "mesh point diffusion method," which integrates the inverse combined Gauss-Newton method and cubic spline interpolation based on the traditional seed point algorithm, significantly improving the computational efficiency of two-dimensional continuous deformation fields. IC-GN Its displacement measurement accuracy is comparable to the point-by-point method, but with reduced computation time, 40% making real-time comparison possible.

Industrial validation case:   

Dongfeng Equipment Manufacturing Co., Ltd. conducted slide pad deformation tests by simulating actual working conditions with preload force, combining dial gauge measurements with full-field data to build a dedicated database for model correction. DIC This method overcomes the simulation defects of "qualitative inaccuracy and quantitative distortion," shortening the lightweight design cycle of the slide pad. CAE 模型的专用数据库。该方法克服了仿真“定性不准、定量失实”的缺陷，使滑枕轻量化设计周期缩短30%。

2. Precision Leap: Technological breakthroughs from mapping algorithms to dynamic monitoring

Mapping accuracy is the core determinant of data reliability. 2023 In year , the Chinese Academy of Sciences team used FPFH features +ICP point cloud registration to complete DIC coordinate alignment with finite element data, then adjusted node positions through a neural network optimized by genetic algorithms, achieving mesh mapping accuracy better than 1 micrometer ( 10 ⁻⁶ mm) This technology has been applied to deformation deviation cloud map analysis of intermediate casing ribs, accurately locating measurement error areas. DIC 测量误差区域。

The field of dynamic monitoring has also seen innovations. 2025 In year , month, 8 Quality and Laboratory (Shenzhen) company announced a patent for a real-time deformation monitoring system for vibration tables, with highlights including:

- Active modulated light source: narrow pulse-width light synchronized with vibration to eliminate motion blur

- Multi-camera orthogonal layout: combined with vibration isolation base to ensure image stability

- High-contrast coded reference points: enabling 6 dynamic tracking of degrees of freedom displacement

This system can output full-resolution strain fields online, supporting tests in combined high-low temperature and vibration environments.

3. Industrial Implementation: Full-domain applications from aerospace to energy pipelines

Strain measurement based on mesh models DIC The technology has formed standardized solutions in multiple high-end manufacturing fields:

- Aerospace: Safran Group ( Safran ) and Ariane Group ( Ariane Group ) use EikoTwin DIC calibrated engine blade models, improving strain comparison efficiency 60% to avoid weight increase caused by over-design.   

- Energy infrastructure: 2025 In year , the National Pipeline Network Group launched the "Shaanxi-Beijing Pipeline Stress State Twin Platform," combining limited cross-section monitoring data with full-field stress inversion algorithms to predict mechanical responses of pipelines in risk areas such as landslides and faults.   

- Civil engineering: Shenyang Jianzhu University added three field seismic simulation vibration tables, equipped with DIC analysis systems to synchronously capture structural displacement and strain, providing a data closed loop for hybrid simulation tests.

4. Future Trends: Integration of convolutional finite elements and digital twins

Technological iteration is far from over. 2023 In year , convolutional finite elements ( C-FE ) emerged, solving the smoothness problem of traditional DIC methods. This technology achieves arbitrary high-order approximation based on linear finite element meshes, improving displacement field smoothness at the same element size. 50% In the DIC Challenge 2.0 benchmark test, its strain calculation error was reduced by 18%~37% 。

Experts predict that with the advancement of projects like smart pipelines and digital casings, integrated simulation and monitoring will become the standard for the next generation of industrial digital twins. As forum engineers said: "Only by feeding the most authentic experimental data into simulation models can we tear off the distortion mask under the 'high fidelity' label." -监测一体化将成为下一代工业数字孪生体的标配。正如论坛工程师所言：“将最真实的实验数据灌入仿真模型，才能撕掉‘高保真’标签下的失真面具”。

Conclusion: From "Mutual Verification" to "Symbiotic Optimization"

From point cloud registration to dynamic tracking, from error comparison to model self-correction, based on mesh models DIC technology is pushing CAE simulation towards an integrated paradigm of "experiment as simulation, simulation as experiment." When every pixel displacement can drive the movement of mesh nodes, the boundary between virtual and reality will eventually dissolve within the algorithm—this may be the ultimate form pursued by digital engineering.