Parameter identification of superplastic constitutive model based on heteroscedastic maximum likelihood estimator-Reference-Cited by-同舟云学术

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Parameter identification of superplastic constitutive model based on heteroscedastic maximum likelihood estimator

Published:2011-02 Issue:sup1 Volume:15 Page:s462-s465
ISSN:1432-8917
Container-title:Materials Research Innovations
language:en
Short-container-title:Materials Research Innovations

Author:

Xu B Y¹,Qu J²,Jin Q L³

Affiliation:

1. Department of Engineering MechanicsTsinghua University, Beijing 10084, China

2. College of Automotive Engineering, South China University of Technology, Guangzhou 510641, China

3. Beijing Research Institute of Mechanical and Electrical Technology Beijing 100083, China

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1179/143307511X12858957675796

Reference12 articles.

1. Superplastic Constitutive Relation and Its Application

2. Parameter identification for viscoplastic models based on analytical derivatives of a least-squares functional and stability investigations

3. An inverse solution procedure for material parameters identification in large plastic deformations

4. Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information

5. Parameter identification of superplastic constitutive model by GA-based global optimization method

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integration of technique for order preference by similarity to ideal solution and back-propagation neural network/genetic algorithm to optimise light guide plate surface roughness process parameters;Materials Research Innovations;2015-11

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