Optimization Design on Functionally Graded Cem for Trains Based on LPM Model with Calibrated Parameters
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-27
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Lumped parameter modeling (LPM) combined with optimization techniques is an efficient approach for parametric configuration design of energy absorption to improve crashworthiness performance during train collision.
This work proposed a simplified model by introducing a bar element to consider the influence of the carbody in a collision process.
The optimization method is applied to calibrate the equivalent parameters of the bar element.
Bar elements with calibrated parameters are adopted in establishing a one-dimensional (1D) model for the train crash.
Subsequently, a novel crash energy management (CEM) mode with functionally graded energy (FGE) configuration is introduced to the train crash model for improving crashworthiness performance.
The influence of parameters in graded function on interfacial force and peak acceleration is investigated and optimal design parameters are obtained by Nondominated Sorting Genetic Algorithm (NSGA-II).
It is concluded that considering the behavior of the carbody can improve the accuracy of LPM in predicting the longitudinal response, and the gradient CEM is a potential energy configuration mode to improve the crashworthiness of the train in a collision.
American Psychological Association (APA)
Qin, Ruixian& Chen, Bingzhi. 2020. Optimization Design on Functionally Graded Cem for Trains Based on LPM Model with Calibrated Parameters. Shock and Vibration،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1213153
Modern Language Association (MLA)
Qin, Ruixian& Chen, Bingzhi. Optimization Design on Functionally Graded Cem for Trains Based on LPM Model with Calibrated Parameters. Shock and Vibration No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1213153
American Medical Association (AMA)
Qin, Ruixian& Chen, Bingzhi. Optimization Design on Functionally Graded Cem for Trains Based on LPM Model with Calibrated Parameters. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1213153
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213153