A net method for specification of reusable software

Proceedings of the 5th international workshop on Software specification and design - IWSSD '89 ◽

10.1145/75199.75220 ◽

1989 ◽

Cited By ~ 1

Author(s):

H. S. Dhama ◽

D. Shtern

Keyword(s):

Reusable Software ◽

Net Method

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A net method for specification of reusable software

ACM SIGSOFT Software Engineering Notes ◽

10.1145/75200.75220 ◽

1989 ◽

Vol 14 (3) ◽

pp. 137-139 ◽

Cited By ~ 1

Author(s):

H. S. Dhama ◽

D. Shtern

Keyword(s):

Reusable Software ◽

Net Method

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Reusable software components

ACM SIGAda Ada Letters ◽

10.1145/570326.570328 ◽

2002 ◽

Vol XXII (3) ◽

pp. 20-23

Author(s):

Trudy Levine

Keyword(s):

Software Components ◽

Reusable Software

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Reusable software components

ACM SIGAda Ada Letters ◽

10.1145/156345.156347 ◽

1993 ◽

Vol XIII (1) ◽

pp. 60-62

Author(s):

Trudy Levine

Keyword(s):

Software Components ◽

Reusable Software

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Sparse damage detection via the elastic net method using modal data

Structural Health Monitoring ◽

10.1177/14759217211021938 ◽

2021 ◽

pp. 147592172110219

Author(s):

Rongrong Hou ◽

Xiaoyou Wang ◽

Yong Xia

Keyword(s):

Damage Detection ◽

Structural Damage ◽

Damage Identification ◽

Measurement Data ◽

Elastic Net ◽

Sensitivity Matrix ◽

Regularization Technique ◽

Modal Data ◽

Regularization Techniques ◽

Net Method

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.

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