Numerical studies for defect topology identification based on the adjoint variable and the finite element methods-Reference-Cited by-同舟云学术

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Numerical studies for defect topology identification based on the adjoint variable and the finite element methods

Published:2023 Issue:3 Volume:10 Page:23-00090-23-00090
ISSN:2187-9745
Container-title:Mechanical Engineering Journal
language:en
Short-container-title:

Author:

KURAHASHI Takahiko¹,TAKEUCHI Kengo²,KOIKE Towa²,KISHIDA Masayuki³,MURAKAMI Yuki⁴,IKEDA Fujio⁵

Affiliation:

1. Department of Mechanical Engineering, Institute of GIGAKU, Nagaoka University of Technology

2. Mechanical Engineering, Master's Program, Graduate School of Engineering, Nagaoka University of Technology

3. Science of Technology Innovation, 5-year Integrated Doctoral Program, Graduate School of Engineering, Nagaoka University of Technology

4. Department of Civil Engineering, National Institute of Technology, Nagaoka College

5. Department of Mechanical Engineering, National Institute of Technology, Nagaoka College

Publisher

Japan Society of Mechanical Engineers

Subject

Process Chemistry and Technology,Economic Geology,Fuel Technology

Link

https://www.jstage.jst.go.jp/article/mej/10/3/10_23-00090/_pdf

Reference21 articles.

1. Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., Gabbouj and M., Inman, D.J., A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications, Mechanical Systems and Signal Processing, Vol.147, No.15(2021), 107077, DOI: 10.1016/j.ymssp.2020.107077.

2. Baiges, J., Martínez-Frutos, J., Herrero-Pérez, D., Otero, F. and Ferrer, A., Large-scale stochastic topology optimization using adaptive mesh refinement and coarsening through a two-level parallelization scheme, Computer Methods in Applied Mechanics and Engineering, Vol.343, (2019), pp.186-206, DOI: 10.1016/j.cma.2018.08.028.

3. Bendsøe, M.P. and Kikuchi, N., Generating optimal topologies in structural design using a homogenization method, Computer Methods in Applied Mechanics and Engineering, Vol.71, No.2 (1988), pp.197-224, DOI: 10.1016/0045-7825(88)90086-2.

4. Chopp, D.L., Computing minimal surfaces via level set curvature flow, Journal of Computational Physics, Vol.106, No.1 (1993), pp.77-91, DOI: 10.1006/jcph.1993.1092.

5. Iwata, M., Kasai, Y., Ye, J., Chang, C., Okuma, T., Nozoe, Y., Takatsu, S., Kubota, Y. and Murakawa, M., AI-aided hammering test system to automatically generate anomaly maps, Sensors and Materials, Vol.31, No.10 (2019), pp.3087-3098, DOI: 10.18494/SAM.2019.2352.

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