scholarly journals Root sampling by plastic pin net method

Root Research ◽  
2020 ◽  
Vol 29 (4) ◽  
pp. 84-85
Author(s):  
Akimasa NAKANO ◽  
Heikurou TAKAMIZAWA
Keyword(s):  
Root Research ◽  
2021 ◽  
Vol 30 (1) ◽  
pp. 5-7
Author(s):  
Akimasa NAKANO ◽  
Eriko MASUDA ◽  
Yoshiyuki ISHIHARA

2021 ◽  
pp. 147592172110219
Author(s):  
Rongrong Hou ◽  
Xiaoyou Wang ◽  
Yong Xia

The l1 regularization technique has been developed for damage detection by utilizing the sparsity feature of structural damage. However, the sensitivity matrix in the damage identification exhibits a strong correlation structure, which does not suffice the independency criteria of the l1 regularization technique. This study employs the elastic net method to solve the problem by combining the l1 and l2 regularization techniques. Moreover, the proposed method enables the grouped structural damage being identified simultaneously, whereas the l1 regularization cannot. A numerical cantilever beam and an experimental three-story frame are utilized to demonstrate the effectiveness of the proposed method. The results showed that the proposed method is able to accurately locate and quantify the single and multiple damages, even when the number of measurement data is much less than the number of elements. In particular, the present elastic net technique can detect the grouped damaged elements accurately, whilst the l1 regularization method cannot.


1964 ◽  
Vol 17 (2) ◽  
pp. 85 ◽  
Author(s):  
J. L. Schuster ◽  
C. H. Wasser
Keyword(s):  

1976 ◽  
Vol 21 (6) ◽  
pp. 920-922 ◽  
Author(s):  
Richard V. Bovbjerg ◽  
Judy Freitag ◽  
Dana McHaney

2021 ◽  
Author(s):  
Wenjie Shao ◽  
Hongye Zeng ◽  
Yuchong Gao ◽  
Kang Zhang ◽  
Rui Zheng
Keyword(s):  

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