Multi-exponential Inversion of the Relaxometry Data of Low-field Nuclear Magnetic Resonance for Cement-based Materials-Reference-Cited by-同舟云学术

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Multi-exponential Inversion of the Relaxometry Data of Low-field Nuclear Magnetic Resonance for Cement-based Materials

Published:2024-01-20 Issue:1 Volume:22 Page:33-46
ISSN:1346-8014
Container-title:Journal of Advanced Concrete Technology
language:en
Short-container-title:ACT

Author:

Zhang Xiaoyu¹²,Zhou Chunsheng¹²,Qiao Jing¹²,Li Le³,Xiao Lizhi⁴

Affiliation:

1. Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, China.

2. School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China.

3. School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China.

4. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China.

Publisher

Japan Concrete Institute

Link

https://www.jstage.jst.go.jp/article/jact/22/1/22_33/_pdf

Reference82 articles.

1. 1) Akaike, H., (1974). “A new look at the statistical model identification.” IEEE Transactions on Automatic Control, 19(6), 716-723.

2. 2) Akaike, H., (1998). “Information theory and an extension of the maximum likelihood principle.” In: E. Parzen, K. Tanabe and G. Kitagawa, Eds. Selected Papers of Hirotugu Akaike. New York: Springer Science & Business Media, 199-213.

3. 3) Aster, R. C., Borchers, B. and Thurber, C. H., (2018). “Parameter estimation and inverse problems.” 3rd ed. Amsterdam: Elsevier.

4. 4) Bauer, F. and Lukas, M. A., (2011). “Comparing parameter choice methods for regularization of ill-posed problems.” Mathematics and Computers in Simulation, 81(9), 1795-1841.

5. 5) Beck, A. and Teboulle, M., (2009). “A fast iterative shrinkage-thresholding algorithm for linear inverse problems.” SIAM Journal on Imaging Sciences, 2(1), 183-202.

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