Abstract

This paper develops an experimental technique to evaluate the initial yield surfaces of metallic materials, as well as to study their evolution during plastic flow. The experimental tracing of yield surfaces is necessary for deriving and calibrating more robust phenomenological models of directional distortional hardening. Such models can be used to characterize the behavior of structures experiencing complicated and demanding loading modes, such as multiaxial ratcheting. The experimental technique developed in this work uses thin-walled tubular specimens, along with a servo-hydraulic machine, under various modes of tension/compression and torque. Identification of the onset of plastic flow is based on a small proof equivalent plastic strain evaluated from the outputs of a contact biaxial extensometer firmly attached to a specimen surface. This allows for evaluation of both the initial yield surface, as well as theevolved yield surface after a plastic prestrain. Throughout a test, continuous and fully automatized evaluation of elastic moduli and proof plastic strain is assured through algorithms written in C# language. The current technique is shown to provide promising results to effectively capture the yield surfaces of conventional metallic materials.

Highlights

  • This paper establishes an experimental technique to evaluate yield surfaces of metallic materials, namely a yield surface tracing (YST) method

  • The concept of a yield surface (YS) is critical to phenomenological plasticity theory and it is defined as a set of yield points (YPs) within a particular stress space that represent the onset of yield in any combination of mixed-mode loading from a predefined initial point

  • This publication presents a complete overview of an experimental program that aims to develop a yield surface tracing method for metallic materials

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Summary

Introduction

This paper establishes an experimental technique to evaluate yield surfaces of metallic materials, namely a yield surface tracing (YST) method. YST is an essential tool for acquisition of experimental data required for deriving and calibrating robust phenomenological models of directional distortional hardening (DDH). A fine description of yield surfaces is expected to improve the accuracy of phenomenological modelling predictions for structures experiencing complicated and demanding loading modes. Plausible applications of phenomenological DDH models include, but are not limited to, the processes of forming of metallic products, or predicting the behavior of structures under cyclic loading (e.g., during earthquakes, in service conditions, repetitive wind or wave loading) leading to the accumulation of plastic strain (a phenomenon known as ratcheting) [1]

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