Computation of strains from stereo digital image correlation using principal component analysis S Sharma, N Iniyan Thiruselvam, S J Subramanian, G S Kumar Measurement Science and Technology, 2021 Stereo digital image correlation (stereo DIC), a full-field deformation measurement technique, is widely used in the mechanics community due to its accuracy, versatility, and ability to measure 3D displacements over specimen surfaces. There are several strategies reported in the literature to compute strains from DIC displacements. Among them, the one based on principal component analysis (PCA) offers a way to effectively demarcate noise from the data by identifying the number of dominant singular vectors that are further differentiated by fitting an appropriate polynomial function. Though this approach has been used to differentiate 2D-DIC displacements, its implementation in the stereo-DIC workflow has not been reported yet. Moreover, its two important parameters, namely, the number of dominant singular vectors and the order of polynomial function, are still selected based on a heuristic where the user assesses the shape of the singular vectors and values to choose these parameters. In the present work, we address these gaps by presenting our novel PCA-based strain computation approach to stereo DIC, and automate the selection of parameters in our method using existing routines such as Stein’s unbiased risk estimator (SURE) and Bayesian information criterion (BIC). We verify the accuracy of the proposed approach on synthetic and DIC Challenge datasets and validate it on data from two experiments: uniaxial tension test and hydraulic inflation test. We observe an excellent agreement between the computed strains and the ground truth in all the cases. The main benefits of the proposed method are two-fold: (a) it leads to convergence in virtual strain gauge study and (b) it is non-parametric because its key parameters are chosen adaptively based on the data at hand.
Preparation and applications of polyether ether ketone based composites V Gupta, DM Kulkarni, I Thiruselvam, VV Chaudhari, S Suraj PEEK Blends and Composites, 145-176 , 2026 2026
Applications of 3D-printed polyether ether ketone and its composites V Gupta, DM Kulkarni, I Thiruselvam, VV Chaudhari, R Pawar, S Suraj PEEK Blends and Composites, 397-418 , 2026 2026
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Investigating the mechanical properties of 3D printed poly-ether-ether ketone (PEEK) polymer using Digital Image Correlation (DIC) V Gupta, DM Kulkarni, VV Chaudhari, NI Thiruselvam, S Suraj Interactions 245 (1), 352 , 2024 2024 Citations: 1
Novel thermo-mechanical triggers processed by friction stir to enhance the crashworthiness of an automobile crash-box SM Kulkarni, K D. Mali, D M. Kulkarni, NI Thiruselvam Engineering Failure Analysis, 108416 , 2024 2024 Citations: 8
Mechanics of Novel Double-Rounded-V Hierarchical Auxetic Structure: Finite Element Analysis and Experiments Using Three-Dimensional Digital Image Correlation R Kumar, I Thiruselvam Society for Experimental Mechanics Annual Conference and Exposition, 29-38 , 2024 2024
Post-deformation microstructure analyses of copper oligocrystals using EBSD and crystal plasticity simulation NI Thiruselvam, R Jeyaraam, D Chalapathi AIP Conference Proceedings 2754 (1), 030009 , 2023 2023 Citations: 1
A BIOMIMETIC COMPOSITE FOR ORTHOPEDIC AND DENTAL IMPLANTS AND METHOD OF FABRICATING THE SAME DM Kulkarni, NI Thiruselvam, KD Mali, S Lourenco IN Patent 51,104 , 2023 2023
Anisotropy and deformation heterogeneity in additive manufactured carbon-reinforced PEEK V Gupta, NI Thiruselvam, DM Kulkarni, VV Chaudhari, S Suraj Journal of Mechanical Science and Technology 37 (6), 2871-2880 , 2023 2023 Citations: 9
Novel Double-rounded-V Hierarchical Auxetic Structure - A Finite Element Study S Acharya, S Bartake, R Kumar, NI Thiruselvam NanoWorld Journal 9 (S1), S481-S485 , 2023 2023
Mechanical Performance of Additive Manufactured PEEK Composite V Gupta, NI Thiruselvam, DM Kulkarni, VV Chaudhari, S Suraj NanoWorld J 9 (S1), S119-S124 , 2023 2023 Citations: 2
Usage of Close-Range Photogrammetry to Obtain Digital Twin of Human Tooth I Thiruselvam, AM Bhalkikar, DM Kulkarni, KD Mali, SDSA Lourenço, ... The Proceedings of the International Conference on Smart City Applications … , 2022 2022 Citations: 1
Speckled calibration artifact to calibrate metrology equipment SJ Subramanian, S Sharma, I Thiruselvam, X Arunnelson https://patents.google.com/patent/US11269115B2/en , 2022 2022 Citations: 1
Computation of strains from stereo digital image correlation using principal component analysis S Sharma, NI Thiruselvam, SJ Subramanian, GS Kumar Measurement Science and Technology 32 (10), 105201 , 2021 2021 Citations: 11
Deformation heterogeneity in copper oligocrystals using high-resolution stereo DIC NI Thiruselvam, R Jeyaraam, SJ Subramanian, S Sankaran Materialia 18, 101164 , 2021 2021 Citations: 13
On improving the accuracy of self-calibrated stereo digital image correlation system N Iniyan Thiruselvam, SJ Subramanian Measurement Science and Technology 32 (2), 025201 , 2021 2021 Citations: 13
Development of feature assisted stereo DIC and its application to study deformation heterogeneity NI Thiruselvam Chennai , 2020 2020
Non-Uniqueness in Anand Model Parameters Estimated for SnCu Solder Using Digital Image Correlation and Virtual Fields Method SN Grama, NI Thiruselvam, SJ Subramanian Available at SSRN 3675735 , 2020 2020 Citations: 1
Deformation heterogeneity in copper oligocrystals using high-resolution stereo DIC NI Thiruselvam, R Jeyaraam, SJ Subramanian, S Sankaran Materialia 18, 101164 , 2021 2021 Citations: 13
On improving the accuracy of self-calibrated stereo digital image correlation system N Iniyan Thiruselvam, SJ Subramanian Measurement Science and Technology 32 (2), 025201 , 2021 2021 Citations: 13
Computation of strains from stereo digital image correlation using principal component analysis S Sharma, NI Thiruselvam, SJ Subramanian, GS Kumar Measurement Science and Technology 32 (10), 105201 , 2021 2021 Citations: 11
Anisotropy and deformation heterogeneity in additive manufactured carbon-reinforced PEEK V Gupta, NI Thiruselvam, DM Kulkarni, VV Chaudhari, S Suraj Journal of Mechanical Science and Technology 37 (6), 2871-2880 , 2023 2023 Citations: 9
Novel thermo-mechanical triggers processed by friction stir to enhance the crashworthiness of an automobile crash-box SM Kulkarni, K D. Mali, D M. Kulkarni, NI Thiruselvam Engineering Failure Analysis, 108416 , 2024 2024 Citations: 8
On enhancing isotropy and strength of additive manufactured carbon fiber reinforced polyether ether ketone using a multi-raster layup strategy V Gupta, NI Thiruselvam, DM Kulkarni, VV Chaudhari, S Suraj Engineering Failure Analysis, 110073 , 2025 2025 Citations: 2
Influence of friction stir processing parameters on the mechanical properties of commercially available aluminium tubes SM Kulkarni, KD Mali, DM Kulkarni, I Thiruselvam Interactions 245 (1), 380 , 2024 2024 Citations: 2
Mechanical Performance of Additive Manufactured PEEK Composite V Gupta, NI Thiruselvam, DM Kulkarni, VV Chaudhari, S Suraj NanoWorld J 9 (S1), S119-S124 , 2023 2023 Citations: 2
Pre-operative simulation of implant angulation effect on mandibular masticatory stresses-a finite element study NI Thiruselvam, DM Kulkami, SDSA Lourenço Procedia Engineering 64, 815-824 , 2013 2013 Citations: 2
Investigating the mechanical properties of 3D printed poly-ether-ether ketone (PEEK) polymer using Digital Image Correlation (DIC) V Gupta, DM Kulkarni, VV Chaudhari, NI Thiruselvam, S Suraj Interactions 245 (1), 352 , 2024 2024 Citations: 1
Post-deformation microstructure analyses of copper oligocrystals using EBSD and crystal plasticity simulation NI Thiruselvam, R Jeyaraam, D Chalapathi AIP Conference Proceedings 2754 (1), 030009 , 2023 2023 Citations: 1
Usage of Close-Range Photogrammetry to Obtain Digital Twin of Human Tooth I Thiruselvam, AM Bhalkikar, DM Kulkarni, KD Mali, SDSA Lourenço, ... The Proceedings of the International Conference on Smart City Applications … , 2022 2022 Citations: 1
Speckled calibration artifact to calibrate metrology equipment SJ Subramanian, S Sharma, I Thiruselvam, X Arunnelson https://patents.google.com/patent/US11269115B2/en , 2022 2022 Citations: 1
Non-Uniqueness in Anand Model Parameters Estimated for SnCu Solder Using Digital Image Correlation and Virtual Fields Method SN Grama, NI Thiruselvam, SJ Subramanian Available at SSRN 3675735 , 2020 2020 Citations: 1
Preparation and applications of polyether ether ketone based composites V Gupta, DM Kulkarni, I Thiruselvam, VV Chaudhari, S Suraj PEEK Blends and Composites, 145-176 , 2026 2026
Applications of 3D-printed polyether ether ketone and its composites V Gupta, DM Kulkarni, I Thiruselvam, VV Chaudhari, R Pawar, S Suraj PEEK Blends and Composites, 397-418 , 2026 2026
Mechanics of Novel Double-Rounded-V Hierarchical Auxetic Structure: Finite Element Analysis and Experiments Using Three-Dimensional Digital Image Correlation R Kumar, I Thiruselvam Society for Experimental Mechanics Annual Conference and Exposition, 29-38 , 2024 2024
A BIOMIMETIC COMPOSITE FOR ORTHOPEDIC AND DENTAL IMPLANTS AND METHOD OF FABRICATING THE SAME DM Kulkarni, NI Thiruselvam, KD Mali, S Lourenco IN Patent 51,104 , 2023 2023
Novel Double-rounded-V Hierarchical Auxetic Structure - A Finite Element Study S Acharya, S Bartake, R Kumar, NI Thiruselvam NanoWorld Journal 9 (S1), S481-S485 , 2023 2023