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Updated: Sep 17, 2026

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method
Published on: January 16, 2019
A digital image correlation-integrated platform for force-controlled fatigue testing of PDMS thin films
Jad Kheizaran1, Naveed Salman1, Umut Kerimzade2
1Department of Mechanical Engineering, Koç University, Rumelifeneri Yolu, Sariyer, Istanbul, 34450, Türkiye.
Abstract:
Force-controlled fatigue testing maintains constant stress amplitude and is better suited than displacement-controlled methods for elucidating viscoelastic behavior because it mitigates stress variations from machine compliance, accommodates cyclic softening, and reproduces realistic conditions for biomedical and wearable applications. Such experiments are seldom conducted on thin polydimethylsiloxane (PDMS) films. To address this, a Digital Image Correlation (DIC)-integrated platform characterizes the cyclic response of 150-μm-thick PDMS films with 0.1% strain resolution across 77 samples, of which 34 are studied under DIC, eliminating compliance error, resolving localized strain development, and measuring viscoelastic energy dissipation. DIC captures strain ratcheting often underestimated in displacement-controlled tests due to system compliance. With 106 cycles under 2 Hz taking one week, stress amplitudes of 2.5, 2.7, and 2.8 MPa produce ratcheting where higher amplitudes reach high strain earlier. Mean ratcheting strain increases from 0.137 to 0.151 at 2.5 MPa, 0.147 to 0.155 at 2.7 MPa for the 10th and 106th cycles, and from 0.157 to 0.167 at 2.8 MPa for the 10th and 4×105th cycles, respectively. Failure, defined as fracture within the gauge section during the first 106 cycles, is tracked across all tests. Decreasing hysteresis loop area indicates reduced viscous dissipation and cyclic softening. The force-controlled S-N curve, first in the literature, shows weak stress dependence, while cumulative failure distribution reveals strong stress sensitivity of failure probability, highlighting the need for probabilistic fatigue assessment. These results establish force-controlled fatigue testing with DIC as a robust framework for elastomer durability characterization in soft robotics and biomedical applications.

