A Non-Masing Microslip Rough Contact Modeling Framework for Spatially and Cyclically Varying Normal Pressure

2022 
The development of predictive computational models of joints is an ongoing challenge within the community. Unlike monolithic structures, the addition of friction in joints introduces nonlinearities in the vibration response of the structure. Frictional contact models can be applied to reproduce the nonlinear behavior, but the best predictive modeling framework is not clear. Elastic dry friction is a popular choice for predictive modeling, but recent work has highlighted its inability to recreate experimental behavior. As an alternative, several microslip rough contact models have been derived from distributions of asperity heights. Unlike elastic dry friction, these models have a smooth transition from sticking to slipping allowing them to capture smoother experimental trends. However, these models have often used the Masing assumptions and constant (over the interface and a cycle) normal pressures. The assumption of constant normal pressures neglects the kinematics of jointed interfaces, while the Masing assumptions do not generally hold for normal pressures that vary throughout a cycle. The present work seeks to further develop a microslip rough contact modeling framework without the simplifying assumptions to realize more physical simulations. Experiments on a benchmark structure, along with interfacial scans, are used to assess the validity of the proposed modeling framework.
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