Online Prognosis of Bimodal Crack Evolution for Fatigue Life Prediction of Composite Laminates Using Particle Filters
| Autor: | Nagarajan Raghavan, Mark Hyunpong Jhon, Karkulali Pugalenthi, Pham Luu Trung Duong, Jaehyeok Doh, Shaista Hussain |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
damage prognosis
Technology Materials science QH301-705.5 QC1-999 particle filters remaining useful life composite materials crack propagation 02 engineering and technology delamination 0203 mechanical engineering General Materials Science Biology (General) Instrumentation QD1-999 Fluid Flow and Transfer Processes business.industry Process Chemistry and Technology Physics Delamination General Engineering Fracture mechanics Structural engineering Fibre-reinforced plastic Composite laminates 021001 nanoscience & nanotechnology Engineering (General). Civil engineering (General) Computer Science Applications Chemistry 020303 mechanical engineering & transports Inflection point Catastrophic failure Structural health monitoring TA1-2040 0210 nano-technology Material properties business |
| Zdroj: | Applied Sciences, Vol 11, Iss 6046, p 6046 (2021) Applied Sciences Volume 11 Issue 13 |
| ISSN: | 2076-3417 |
| Popis: | Composite materials are extensively used in aircraft structures, wherein they are subjected to cyclic loads and subsequently impact-induced damages. Progressive fatigue degradation can lead to catastrophic failure. This highlights the need for an efficient prognostic framework to predict crack propagation in the field of structural health monitoring (SHM) of composite structures to improve functional safety and reliability. However, achieving good accuracy in crack growth prediction is challenging due to uncertainties in the material properties, loading conditions, and environmental factors. This paper presents a particle-filter-based online prognostic framework for damage prognosis of composite laminates due to crack-induced delamination and fiber breakage. An optimized Paris law model is used to describe the damage propagation in glass-fiber-reinforced polymer (GFRP) laminates subject to low-velocity impacts. Our proposed methodology deduces the jump energy/inflection point online wherein the damage growth switches from rapid degradation to slow degradation. The prediction results obtained are compared with the conventional Paris law model to validate the need for an optimized bimodal crack growth propagation model. The root mean square error (RMSE) and remaining useful life (RUL) prediction errors are used as the prognostic metrics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|