Abstract
Micro/nano-interconnect structures are critical components in three-dimensional high-density packaging, yet their reliability is critically constrained by the copper pumping effect induced by the thermal mismatch between copper and silicon. This study investigates interfacial failure at the copper/silicon interface in through-silicon via (TSV) composite structures. Based on continuum damage mechanics, a constitutive relation for interfacial slip is established using energy dissipation as a damage indicator. The reliability under thermoelectrical coupling is evaluated, and the model is further applied to analyze thermal residual stress and strain in common liner materials. A Bayesian support vector regression (BSVR) model is integrated into a cross-entropy-based framework for failure probability assessment. Within this framework, importance sampling is employed to optimize BSVR hyperparameter selection, while BSVR serves as a surrogate to reduce computational cost in constitutive simulations. To address the analytical intractability of the marginal likelihood integral in BSVR, a simulation-based sampling method is proposed as an alternative to Laplace approximation. The proposed computational framework effectively combines the advantages of cross-entropy methods and BSVR surrogate modeling in handling high-dimensional problems with small failure probabilities, thereby mitigating efficiency degradation caused by data sparsity and complex failure domains.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 113669 |
| Fachzeitschrift | Mechanical Systems and Signal Processing |
| Jahrgang | 243 |
| Elektronisch veröffentlicht (E-Pub) | 28 Nov. 2025 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 15 Jan. 2026 |
ASJC Scopus Sachgebiete
- Steuerungs- und Systemtechnik
- Signalverarbeitung
- Tief- und Ingenieurbau
- Luft- und Raumfahrttechnik
- Maschinenbau
- Angewandte Informatik
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