Enhancement of Damage Identification Through Structural Matrix Assignment

AIAA Journal ◽  
10.2514/1.828 ◽  
2003 ◽  
Vol 41 (12) ◽  
Author(s):  
Laura R. Ray ◽  
Jason A. Solbeck
Keyword(s):  
Damage Identification ◽  
Structural Matrix ◽  
Matrix Assignment

Enhancement of Damage Identification Through Structural Matrix Assignment

AIAA Journal ◽  
2003 ◽  
Vol 41 (12) ◽  
pp. 2494-2497 ◽  
Author(s):  
Jason A. Solbeck ◽  
Laura R. Ray
Keyword(s):  
Damage Identification ◽  
Structural Matrix ◽  
Matrix Assignment

On the issue of environmental damage identification from oil pollution

2020 ◽  
pp. 17-21
Author(s):  
M.M. Zaderigolova ◽  
◽  
S.V. Fradkin ◽  
D.Е. Yakushev ◽  
V.A. Kalinin ◽  
...  
Keyword(s):  
Damage Identification ◽  
Oil Pollution ◽  
Environmental Damage

Reproductive characteristics of the african pygmy hedgehog, atelerix albiventris

Reproduction ◽  
2000 ◽  
pp. 143-150 ◽  
Author(s):  
JM Bedford ◽  
OB Mock ◽  
SK Nagdas ◽  
VP Winfrey ◽  
GE Olson
Keyword(s):  
Fallopian Tube ◽  
Zona Pellucida ◽  
Sperm Head ◽  
Reproductive Characteristics ◽  
Cumulus Oophorus ◽  
The Matrix ◽  
Main Components ◽  
Initial Binding ◽  
Structural Matrix

To obtain further perspective on reproduction and particularly gamete function among so-called primitive mammals presently grouped in the Order Insectivora, we have examined the African hedgehog, Atelerix albiventris, in light of unusual features reported in shrews and moles. Atelerix proves to share many but not all of the characteristics seen in these other insectivores. The penis of Atelerix has a 'snail-like' form, but lacks the surface spines common in insectivores and a number of other mammals. Hedgehog spermatozoa display an eccentric insertion of the tail on the sperm head, and they manifest the barbs on the perforatorium that, in shrews, probably effect the initial binding of the sperm head to the zona pellucida. As a possible correlate, the structural matrix of the hedgehog acrosome comprises only two main components, as judged by immunoblotting, rather than the complex of peptides seen in the matrix of some higher mammals. The Fallopian tube of Atelerix is relatively simple; it displays only minor differences in width and in the arborized epithelium between the isthmus and ampulla, and shows no evidence of the unusual sperm crypts that characterize the isthmus or ampulla, depending on the species, in shrews and moles. In common with other insectivores, Atelerix appears to be an induced ovulator, as judged by the ovulation of some 6-8 eggs by about 23 h after injection of hCG. The dense cumulus oophorus appeared to have little matrix, in keeping with the modest dimensions of the tubal ampulla and, while it was not quite as discrete as that of soricids, it did show the same insensitivity to 0.5% (w/v) ovine or bovine hyaluronidase.

Sensitivity Analysis and Damage Identification in Composite Plates

2019 ◽  
Author(s):  
Denys Eduardo Teixeira Marques ◽  
Carlos Pagani ◽  
Marcelo Leite Ribeiro ◽  
Volnei Tita
Keyword(s):  
Sensitivity Analysis ◽  
Damage Identification ◽  
Composite Plates

A Virtual Load Method for Damage Identification of Beam Structures

2018 ◽  
Vol 12 (2) ◽  
pp. 117-126 ◽  
Author(s):  
C.H. Li ◽  
Q.W. Yang ◽  
B.X. Sun ◽  
C.F. Liang
Keyword(s):  
Damage Identification ◽  
Beam Structures

Optimal Sensor Placement Algorithm for Structural Damage Identification

2020 ◽  
Vol 14 (1) ◽  
pp. 69-81
Author(s):  
C.H. Li ◽  
Q.W. Yang
Keyword(s):  
Structural Damage ◽  
Damage Identification ◽  
Sensor Placement ◽  
Optimization Procedure ◽  
Frame Structure ◽  
Truss Structures ◽  
Optimal Sensor Placement ◽  
Structural Damage Identification ◽  
Placement Algorithm ◽  
Sensor Locations

Background: Structural damage identification is a very important subject in the field of civil, mechanical and aerospace engineering according to recent patents. Optimal sensor placement is one of the key problems to be solved in structural damage identification. Methods: This paper presents a simple and convenient algorithm for optimizing sensor locations for structural damage identification. Unlike other algorithms found in the published papers, the optimization procedure of sensor placement is divided into two stages. The first stage is to determine the key parts in the whole structure by their contribution to the global flexibility perturbation. The second stage is to place sensors on the nodes associated with those key parts for monitoring possible damage more efficiently. With the sensor locations determined by the proposed optimization process, structural damage can be readily identified by using the incomplete modes yielded from these optimized sensor measurements. In addition, an Improved Ridge Estimate (IRE) technique is proposed in this study to effectively resist the data errors due to modal truncation and measurement noise. Two truss structures and a frame structure are used as examples to demonstrate the feasibility and efficiency of the presented algorithm. Results: From the numerical results, structural damages can be successfully detected by the proposed method using the partial modes yielded by the optimal measurement with 5% noise level. Conclusion: It has been shown that the proposed method is simple to implement and effective for structural damage identification.

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