Damage visualization based on local dynamic perturbation: Theory and application to characterization of multi-damage in a plane structure

2013 ◽  
Vol 332 (14) ◽  
pp. 3438-3462 ◽  
Author(s):  
Hao Xu ◽  
Li Cheng ◽  
Zhongqing Su ◽  
Jean-Louis Guyader
Keyword(s):  
Perturbation Theory ◽  
Local Dynamic ◽  
Damage Visualization ◽  
Dynamic Perturbation

Sectorial substrate-integrated half-mode near-field sensors for biological liquid characterization

2014 ◽  
Vol 6 (3-4) ◽  
pp. 305-312 ◽  
Author(s):  
Nora Meyne ◽  
Arne F. Jacob
Keyword(s):  
Factor Analysis ◽  
Perturbation Theory ◽  
Aqueous Solutions ◽  
Quality Factor ◽  
Near Field ◽  
Calibration Method ◽  
Biological Liquid ◽  
Suitable Reference ◽  
5 Ghz

Two compact resonant near-field sensors are introduced for the characterization of aqueous solutions at 5 GHz. They are based on folded substrate-integrate circular half-mode resonators with a planar sensing tip. Owing to the planar design, the sensor is simple and cheap to manufacture, and a sample can be easily coupled to the resonator from the top. The operating principle of the sensor is explained and verified by both simulation and measurement. The radiation of the sensors is quantified by means of a quality factor analysis. Finally, a previously introduced calibration method based on the perturbation theory is applied to the sensors and its accuracy is improved by choosing more suitable reference materials.

Growth and characterization of large-scale sapphire domes produced from the melt by the local dynamic shaping technique

2005 ◽  
Vol 275 (1-2) ◽  
pp. e2105-e2111 ◽  
Author(s):  
A.V. Borodin ◽  
V.A. Borodin ◽  
D.N. Frantsev ◽  
M.V. Yudin ◽  
T.A. Mosharov
Keyword(s):  
Large Scale ◽  
Local Dynamic ◽  
Shaping Technique

Perturbation Theory Machine Learning Models: Theory, Regulatory Issues, and Applications to Organic Synthesis, Medicinal Chemistry, Protein Research, and Technology

2018 ◽  
Vol 18 (14) ◽  
pp. 1203-1213 ◽  
Author(s):  
Sonia Arrasate ◽  
Aliuska Duardo-Sanchez
Keyword(s):  
Machine Learning ◽  
Perturbation Theory ◽  
Organic Synthesis ◽  
Medicinal Chemistry ◽  
Main Question ◽  
Small Organic Molecules ◽  
Regulatory Issues ◽  
Protein Research ◽  
The Cost

Machine Learning (ML) models are very useful to predict physicochemical properties of small organic molecules, proteins, proteomes, and complex systems. These methods may be useful to reduce the cost of research in terms of materials resources, time, and laboratory animal sacrifice. Recently different authors have reported Perturbation Theory (PT) methods combined with ML to obtain PTML (PT + ML) models. They have applied PTML models to the study of different biological systems and in technology as well. Here, we present one state-of- the-art review about the different applications of PTML models in Organic Synthesis, Medicinal Chemistry, Protein Research, and Technology. In this work, we also embrace an overview of regulatory issues for acceptance and validation of both: the Cheminformatics models, and the characterization of new Biomaterials. This is a main question in order to make scientific result self for humans and environment.

Numerical approaches to stability analysis of cylindrical composite shells based on load imperfections

2015 ◽  
Vol 32 (2) ◽  
pp. 498-518 ◽  
Author(s):  
Nikolay Asmolovskiy ◽  
Anton Tkachuk ◽  
Manfred Bischoff
Keyword(s):  
Composite Structures ◽  
Specific Pattern ◽  
Buckling Load ◽  
Perturbation Approach ◽  
Local Dynamic ◽  
Load Estimation ◽  
Composite Shells ◽  
Content Type ◽  
Global And Local ◽  
Dynamic Perturbation

Purpose – Current procedures of buckling load estimation for thin-walled structures may provide very conservative estimates. Their refinement offers the potential to use structure and material properties more efficiently. Due to the large variety of design variables, for example laminate layup in composite structures, a prohibitively large number of tests would be required for experimental assessment, and thus reliable numerical techniques are of particular interest. The purpose of this paper is to analyze different methods of numerical buckling load estimation, formulate simulation procedures suitable for commercial software and give recommendations regarding their application. All investigations have been carried out for cylindrical composite shells; however similar approaches are feasible for other structures as well. Design/methodology/approach – The authors develop a concept to apply artificial load imperfections with the aim to estimate as good as possible lower bounds for the buckling loads of shells for which the actual physical imperfections are not known. Single and triple perturbation load approach, global and local dynamic perturbation approach and path following techniques are applied to the analysis of a cylindrical composite shell with known buckling characteristics. Results of simulations are compared with published experimental data. Findings – A single perturbation load approach is reproduced and modified. Buckling behavior for negative values of the perturbation load is examined and a pattern similar to a positive perturbation load is observed. Simulations with three perturbation forces show a decreased (i. e. more critical) value of the buckling load compared to the single perturbation load approach. Global and local dynamic perturbation approaches exhibit a behavior suitable for lower bound estimation for structures with arbitrary geometries. Originality/value – Various load imperfection approaches to buckling load estimation are validated and compared. All investigated methods do not require knowledge of the real geometrical imperfections of the structure. Simulations were performed using a commercial finite element code. Investigations of sensitivity with respect to a single perturbation load are extended to the negative range of the perturbation load amplitude. A specific pattern for a global perturbation approach was developed, and based on it a novel simulation procedure is proposed.

Local dynamic perturbation effects on the scale interactions in wall turbulence

2020 ◽  
pp. 1-23
Author(s):  
Zhanqi Tang ◽  
Xingyu Ma ◽  
Nan Jiang ◽  
Xiaotong Cui ◽  
Xiaobo Zheng
Keyword(s):  
Wall Turbulence ◽  
Local Dynamic ◽  
Scale Interactions ◽  
Dynamic Perturbation

Dielectric contrast measurements on biological substances with resonant microwave near-field sensors

2013 ◽  
Vol 5 (3) ◽  
pp. 221-230 ◽  
Author(s):  
Nora Haase ◽  
Arne F. Jacob
Keyword(s):  
Perturbation Theory ◽  
Complex Permittivity ◽  
Chinese Hamster Ovary ◽  
Culture Medium ◽  
Near Field ◽  
Chinese Hamster ◽  
Cell Suspensions ◽  
Resonant Frequencies ◽  
Dielectric Contrast

Resonant substrate integrated near-field sensors are used for characterization of aqueous solutions at three different frequencies. In addition, Chinese hamster ovary (CHO) cells in a culture medium are characterized with the same sensors. Different concentrations as well as different vital states of cell suspensions are examined. The complex permittivity of the samples is evaluated using a linearized method based on perturbation theory. The permittivity differences between the measured cell suspensions are discussed. The resonant frequencies of the sensors are close to 3, 7, and 11 GHz, respectively.

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