Geometry Optimization of Sheet Specimen for the Measurement Accuracy Improvement in the Hopkinson Bar Based on Intelligent Algorithm

Geometry Optimization of Sheet Specimen for the Measurement Accuracy Improvement in the Hopkinson Bar Based on Intelligent Algorithm

At present, the split Hopkinson tensile bar (SHTB) is widely used to determine the dynamic tensile properties of materials under high strain rates, in which sheet specimen with dogbone-shaped structure is commonly adopted. However, the geometry dimensions of the specimen used in different literature...

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Bibliographic Details
Main Authors: Qinghua Wang, Feng Xu, Bo Yang, Lijie Feng, Dedong Huang, Chen Wang, Bin Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Split Hopkinson tensile bar
specimen geometry
measurement accuracy
BP neural network
genetic algorithm
Online Access:https://ieeexplore.ieee.org/document/9103042/

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