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  • 严刚 ( 副教授 )

    的个人主页 http://faculty.nuaa.edu.cn/yg/zh_CN/index.htm

  •   副教授
  • 招生学科专业:
    力学 -- 【招收硕士研究生】 -- 航空学院
    机械 -- 【招收硕士研究生】 -- 航空学院
论文成果 当前位置: 中文主页 >> 科学研究 >> 论文成果
A non-negative Bayesian learning method for impact force reconstruction

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所属单位:航空学院
发表刊物:J Sound Vib
摘要:Detecting and identifying impact events, which may cause severe damages, is important in assessment of the integrity of many engineering structures. This paper presents a new approach for reconstructing the impact forces applied on engineering structures (e.g., composites) using sensor recordings of the structural responses. The problem is firstly formulated as a discretized deconvolution problem in the time domain with the impact force vector as the unknown. Then with consideration of the physical property of the impact force, an inverse analysis approach of Bayesian learning with non-negative regularization constraints is employed to solve the ill-posed deconvolution problem. The newly proposed impact force reconstruction approach is illustrated by experimental examples performed on a sandwich composite structure. Results have demonstrated the effectiveness and applicability of the proposed approach to reconstruct impact forces. © 2019 Elsevier Ltd
ISSN号:0022-460X
是否译文:否
发表时间:2019-01-01
合写作者:Sun, Hao
通讯作者:严刚

 

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