Determination of asphalt mixture’s viscoelastic constitutive parameters for pavement response analysis using dynamic modulus transformation

2021 ◽  
pp. 125729
Author(s):  
Jun Zhang ◽  
Liangliang Bao
Keyword(s):  
Dynamic Modulus ◽  
Response Analysis ◽  
Pavement Response ◽  
Constitutive Parameters

The SCB configuration for the determination of the dynamic modulus of asphalt mixtures

2019 ◽  
pp. 245-250
Author(s):  
S.M. Angelone ◽  
M. Cauhape Casaux ◽  
F.O. Martinez
Keyword(s):  
Dynamic Modulus ◽  
Asphalt Mixtures

Pre-grading of spruce logs containing frozen and unfrozen water by means of frequency-based nondestructive testing (NDT)

Holzforschung ◽  
2016 ◽  
Vol 70 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Julia K. Denzler ◽  
Andreas Weidenhiller
Keyword(s):  
Nondestructive Testing ◽  
Moisture Content ◽  
Industrial Application ◽  
Modulus Of Elasticity ◽  
Dynamic Modulus ◽  
The State ◽  
Temperature Measurements ◽  
Unfrozen Water ◽  
State Of Matter

AbstractThe possibility for pre-grading of logs throughout the year has been evaluated based on dynamic modulus of elasticity (MOEdynor simplifiedEdyn) by means of frequency-based nondestructive testing (NDTfreq). The challenge is thatEdynis variable in the frozen, partly frozen, and unfrozen states of logs (state of matter). In the unfrozen state, NDTfreqis reliable if the moisture content does not fall below fiber saturation. The state of the matter was tested via temperature measurements of air and log by means of an infrared technique and sensors, and information was evaluated from NDTfreq. The temperature measurements proved to be inefficient for industrial application because of unreliable data and long measurement times, whereas the NDTfreqmeasurements allowed the determination of meaningful damping factors. A sufficient level of predictability for more than 60% of the measurements was found. The log measurements in the partly frozen state are inconclusive becauseEdyndata fluctuate in the presence of both liquid and frozen water. For the completely frozen logs, a correction is introduced as a precaution that avoids an overestimation ofEdynin the unfrozen state.

scholarly journals Frequency Response Quality Index for Assessing the Mechanical Condition of Transformer Windings

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 29 ◽  
Author(s):  
Eugeniusz Kornatowski ◽  
Szymon Banaszak
Keyword(s):  
Frequency Response ◽  
Quality Index ◽  
Response Analysis ◽  
Test Results ◽  
Response Curves ◽  
Response Measurement ◽  
Response Quality ◽  
Mechanical Condition ◽  
Measurement Results

Frequency response analysis (FRA) is a popular method for assessing a transformer’s mechanical condition. The paper proposes a new method for interpreting the frequency response measurement results. The currently used numerical indices only give one value, which may be misleading in the analysis, while the proposed frequency response quality index (FRQI) tool analyses three separate features in the whole frequency range. The applied numerical calculations technique allows for estimations of not only the values of the average quality indices, but also locally for given frequency ranges of the analysed spectrum. It allows for determination of the problems that can be found in the active part of a transformer. The presented results come from three transformers, representing cases of typical faults. Two of them are from industry, while one was used for deformational tests in laboratory conditions. The proposed FRQI method showed its usefulness in FRA test results analysis and may be introduced into the automated assessment of such data. Each of the component parameters is sensitive to other types of differences observed between the compared frequency response curves, and may be used as a good quality detection tool.

Determination of the effective constitutive parameters of bianisotropic planar metamaterials in the terahertz region

2016 ◽  
Vol 33 (5) ◽  
pp. 954 ◽  
Author(s):  
Xufeng Jing ◽  
Rui Xia ◽  
Weimin Wang ◽  
Ying Tian ◽  
Zhi Hong
Keyword(s):  
Terahertz Region ◽  
Constitutive Parameters ◽  
Planar Metamaterials

Determination of Effective Constitutive Parameters of Inhomogeneous Metamaterials With Bianisotropy

2018 ◽  
Vol 66 (8) ◽  
pp. 3734-3744 ◽  
Author(s):  
Ugur Cem Hasar ◽  
Gul Buldu ◽  
Yunus Kaya ◽  
Gokhan Ozturk
Keyword(s):  
Constitutive Parameters
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