Pressure-Bearing Parameter Identification for Martian Soil Based on a Terramechanics Model and Genetic Algorithm-Reference-Cited by-同舟云学术

Pressure-Bearing Parameter Identification for Martian Soil Based on a Terramechanics Model and Genetic Algorithm

Published:2018-03 Issue:2 Volume:31 Page:04017104
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Xue Long¹,Dang Zhaolong²,Chen Baichao²,Li Jianqiao³,Zou Meng⁴^ORCID

Affiliation:

1. Associate Professor, Key Laboratory of Bionic Engineering, Ministry of Education, Jilin Univ., No. 5988 Renmin St., Changchun 130022, P.R. China; Associate Professor, School of Mechanotronics and Vehicle Engineering, East China Jiaotong Univ., No. 808 Shuanggang East St., Nanchang 330045, P.R. China.

2. Associate Professor, Institute of Spacecraft System Engineering, China Academy of Space Technology, No. 104 Youyi Rd., Beijing 100094, P.R. China.

3. Professor, Key Laboratory of Bionic Engineering, Ministry of Education, Jilin Univ., No. 5988 Renmin St., Changchun 130022, P.R. China.

4. Professor, Key Laboratory of Bionic Engineering, Ministry of Education, Jilin Univ., No. 5988 Renmin St., Changchun 130022, P.R. China (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000810

Reference33 articles.

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3. Modeling the fuel flow-rate of transport aircraft during flight phases using genetic algorithm-optimized neural networks

4. Estimating terrain parameters for a rigid wheeled rover using neural networks

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