scholarly journals Semicontact AFM Mode for Fast Determining the Subsurface Structure of Filled Elastomers

2021 ◽  
Vol 1945 (1) ◽  
pp. 012013
Author(s):  
R I Izyumov ◽  
V D Kislitsyn ◽  
A L Svistkov
Keyword(s):  
Subsurface Structure ◽  
Filled Elastomers

scholarly journals Non-Monotonic Sensor Behavior of Carbon Particle-Filled Textile Strain Sensors

2021 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Johannes Mersch ◽  
Henriette Probst ◽  
Andreas Nocke ◽  
Chokri Cherif ◽  
Gerald Gerlach
Keyword(s):  
Thermoplastic Polyurethane ◽  
Carbon Particle ◽  
Equivalent Circuit Model ◽  
Conductive Filler ◽  
Underlying Mechanism ◽  
Human Motion ◽  
Strain Sensors ◽  
Material Behavior ◽  
Strain History ◽  
Filled Elastomers

Carbon particle-filled elastomers are a widely researched option to be used as piezoresistive strain sensors for soft robotics or human motion monitoring. Therefore, various polymers can be compounded with carbon black (CB), carbon nanotubes (CNT) or graphene. However, in many studies, the electrical resistance strain response of the carbon particle-filled elastomers is non-monotonic in dynamic evaluation scenarios. The non-monotonic material behavior is also called shoulder phenomenon or secondary peak. Until today, the underlying cause is not sufficiently well understood. In this study, several influencing test parameters on the shoulder phenomena are explored, such as strain level, strain rate and strain history. Moreover, material parameters such as CNT content and anisotropy are varied in melt-spun CNT filled thermoplastic polyurethane (TPU) filament yarns, and their non-monotonic sensor response is evaluated. Additionally, a theoretical concept for the underlying mechanism and thereupon-based model is presented. An equivalent circuit model is used, which incorporates the visco-elastic properties and the characteristic of the percolation network formed by the conductive filler material. The simulation results are in good agreement when compared to the experimental results.

scholarly journals Effect of vegetation cover and sediment type on 3D subsurface structure and shear strength in saltmarshes

2021 ◽  
Author(s):  
Clementine Chirol ◽  
Kate L. Spencer ◽  
Simon J. Carr ◽  
Iris Möller ◽  
Ben Evans ◽  
...  
Keyword(s):  
Shear Strength ◽  
Vegetation Cover ◽  
Sediment Type ◽  
Subsurface Structure

scholarly journals Correlation of VLF-EM Data with Radiometric Measurements: Implications for Uranium Exploration around Beldih, South Purulia Shear Zone, India

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Saurabh Mittal ◽  
S. P. Sharma ◽  
Arkoprovo Biswas ◽  
D. Sengupta
Keyword(s):  
Shear Zone ◽  
High Surface ◽  
Uranium Mineralization ◽  
Subsurface Structure ◽  
High Radiation ◽  
Background Radiations ◽  
Radiometric Measurements ◽  
Uranium Exploration ◽  
Radioactive Minerals ◽  
Open Cast

This study is an attempt to correlate VLF-EM data with the radiometric measurements to decipher the subsurface structure and to locate uranium mineralization in the shear zone. The study area is around Beldih mine which is an open cast apatite mine located on the South Purulia Shear Zone. VLF method has been applied to map the structure and the presence of radioactive minerals has been delineated by the detection of highαandγcounts with respect to the background radiations. High radiation counts and high surfaceγactivity are found just above the higher apparent current-density zones in all the profiles studied, at various locations, indicating uranium and/or thorium mineralization as well as good correlation between these techniques.

Structural interpretation using refraction velocities from marine seismic surveys

Geophysics ◽  
1986 ◽  
Vol 51 (1) ◽  
pp. 12-19 ◽  
Author(s):  
James F. Mitchell ◽  
Richard J. Bolander
Keyword(s):  
Sedimentary Rock ◽  
Seismic Energy ◽  
Seismic Survey ◽  
Subsurface Structure ◽  
Seismic Reflection Data ◽  
Near Surface ◽  
Reflection Data ◽  
Wide Range ◽  
Streamer Length ◽  
Set Up

Subsurface structure can be mapped using refraction information from marine multichannel seismic data. The method uses velocities and thicknesses of shallow sedimentary rock layers computed from refraction first arrivals recorded along the streamer. A two‐step exploration scheme is described which can be set up on a personal computer and used routinely in any office. It is straightforward and requires only a basic understanding of refraction principles. Two case histories from offshore Peru exploration demonstrate the scheme. The basic scheme is: step (1) shallow sedimentary rock velocities are computed and mapped over an area. Step (2) structure is interpreted from the contoured velocity patterns. Structural highs, for instance, exhibit relatively high velocities, “retained” by buried, compacted, sedimentary rocks that are uplifted to the near‐surface. This method requires that subsurface structure be relatively shallow because the refracted waves probe to depths of one hundred to over one thousand meters, depending upon the seismic energy source, streamer length, and the subsurface velocity distribution. With this one requirement met, we used the refraction method over a wide range of sedimentary rock velocities, water depths, and seismic survey types. The method is particularly valuable because it works well in areas with poor seismic reflection data.

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