REAL-WORLD DATA-SUPPORTED AND HIGHER-ORDER ELEMENT THEORY-ENABLED PROGRESSIVE DAMAGE MODEL ASSEMBLY

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Abstract Summary
Dynamic responses of steel bolts anchored in concrete subject to cyclic loads are complex: qualitative physical attributes include pinching, displacement ratcheting and force-intercept. In fact, these attributes vary with time, involving uncertainties that can lead to different failure patterns. This study explores higher-order elements (HOEs), an emerging theoretical macro-modeling framework originated from electrical engineering and transferred to engineering mechanics by using physical analogies. This study proposes a systematic procedure for a new model formulation: a model assembly that is made up of three distinct modeling elements, a higher-order spring, higher-order damper, and loading-rate independent damper to capture pinching, displacement ratcheting, and force intercepting, respectively. The two higher-order elements play significant roles to model responses of fatigue loading in two opposite directions each involving loading and unloading, therefore this study offers a case study to reveal a major practical application of HOE theory. To afford more physical insights, the higher-order spring is further formulated into a mem-spring, where new choices of state variables are employed. The proposed model formulation not only benefits both efficient simulation of time-varying dynamical systems and qualitative failure analysis, but also is a new utility of HOE theory. Two major datasets of anchoring blots are used to develop and validate the proposed modeling approach, while three minor datasets are used for a supplementary investigation. This study shows that, both qualitatively and quantitatively under ordered excitation, HOE can be employed with more modeling power and efficiency compared with existing models for progressive damage, and with the flexibility to interface with some existing models when needed.
Abstract ID :
737
Submission Type
Abstract Mini Symposia Topic:
Associate Professor
,
University of Okahoma
Chair of Structural Mechanics & Monitoring
,
ETH Zurich

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