About this Abstract |
Meeting |
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
Symposium
|
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
Presentation Title |
Fatigue Failure Analysis of Bolted Joints Hybrid CFRP/Steel Fiber Metal Laminate |
Author(s) |
Rohit Raju Madke, Satchi Venkataraman |
On-Site Speaker (Planned) |
Rohit Raju Madke |
Abstract Scope |
Hybrid fiber metal laminates (FML) have higher bearing strengths than carbon fiber reinforced polymeric (CFRP) laminates in static loading. Failure initiation and growth in FML bolted joints vary with ply stacking sequence, metal volume fraction and cure cycles. Failure mechanisms include plastic buckling of the metal plies, interlaminar failure of composite plies, and interlaminar delamination failure. Prediction tools are needed to understand how these failure sequences and interactions change under fatigue loads. Predicting fatigue responses of CFRP bolted joints is challenging, due to multiplicity of damage models and their interactions and nonlinearity. In FML, the added failure models of the metal plies, the thermal stresses it induces and interface properties between metal/CFRP further complicates predictions.
This paper presents a fatigue-modeling framework for predicting fatigue life and residual strength of bolted joints after constant amplitude cyclic loading in hybrid FML laminates. A 3D continuum damage mechanics (CDM) model coupled with Puck’s failure criterion is implemented for the degradation of interlaminar stiffness and strength properties, evolution of non-recoverable strain in the CFRP layers and final failure. The metal fatigue prediction uses a CDM constitutive law provided by the modified Lemaitre Chaboche model. Interlaminar failure is implemented using a cohesive fatigue model. The materials models are implemented as user-defined subroutines (VUMAT) for ABAQUS Explicit. Prediction accuracy of the model is compared to previously published experimental results. The challenges in fatigue prediction that arise in model parameter calibration, interaction of multimodal failure and computational effort needed are discussed. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |