Characterization of Caribbean Meso-Scale Eddies

2006 ◽  
Author(s):  
Jose M. Lopez ◽  
Jorge E. Corredor ◽  
Julio M. Morell ◽  
Jorge E. Capella ◽  
Fernando Gilbes
Keyword(s):  
Meso Scale

Experimental-Numerical Characterization of Ordinary Concrete at the Meso-Scale

2021 ◽  
Author(s):  
GIANLUCA MAZZUCCO ◽  
Beatrice Pomaro ◽  
Giovanna Xotta ◽  
Enrico Garbin ◽  
Valentina Salomoni ◽  
...  
Keyword(s):  
Yield Criterion ◽  
Plain Concrete ◽  
Point Of View ◽  
Good Prediction ◽  
Deformation Capacity ◽  
Compression Tests ◽  
Fe Method ◽  
Stress States ◽  
Meso Scale

Modeling the post-peak behaviour of brittle materials like concrete is still a challenge from the point of view of computational mechanics, due to the strong nonlinearities arising in the material behaviour during softening and the complexity of the yield criterion that may describe their deformation capacity in generic triaxial stress states. A numerical model for plain concrete in compression is formulated within the framework of the coupled elasto-plastic-damage theory. The aim is to simulate via the Finite Element (FE) method the stress-strain behaviour of concrete at the meso-scale, where local confinement effects generally characterize the cement paste under the action of the surrounding aggregates. The mechanical characterization of the components are accomplished through a specific experimental campaign. With the subsequent validation study, it is shown that a few calibration parameters give a good prediction of load strength and deformation capacity coming from real uniaxial compression tests.

scholarly journals Are streamflow recession characteristics really characteristic?

2013 ◽  
Vol 17 (2) ◽  
pp. 817-828 ◽  
Author(s):  
M. Stoelzle ◽  
K. Stahl ◽  
M. Weiler
Keyword(s):  
Extraction Method ◽  
Storage Capacity ◽  
Extraction Methods ◽  
Model Parameters ◽  
Catchment Scale ◽  
Model Parameterization ◽  
Recession Curves ◽  
Recession Analysis ◽  
Meso Scale

Abstract. Streamflow recession has been investigated by a variety of methods, often involving the fit of a model to empirical recession plots to parameterize a non-linear storage–outflow relationship based on the dQ/dt−Q method. Such recession analysis methods (RAMs) are used to estimate hydraulic conductivity, storage capacity, or aquifer thickness and to model streamflow recession curves for regionalization and prediction at the catchment scale. Numerous RAMs have been published, but little is known about how comparably the resulting recession models distinguish characteristic catchment behavior. In this study we combined three established recession extraction methods with three different parameter-fitting methods to the power-law storage–outflow model to compare the range of recession characteristics that result from the application of these different RAMs. Resulting recession characteristics including recession time and corresponding storage depletion were evaluated for 20 meso-scale catchments in Germany. We found plausible ranges for model parameterization; however, calculated recession characteristics varied over two orders of magnitude. While recession characteristics of the 20 catchments derived with the different methods correlate strongly, particularly for the RAMs that use the same extraction method, not all rank the catchments consistently, and the differences among some of the methods are larger than among the catchments. To elucidate this variability we discuss the ambiguous roles of recession extraction procedures and the parameterization of the storage–outflow model and the limitations of the presented recession plots. The results suggest strong limitations to the comparability of recession characteristics derived with different methods, not only in the model parameters but also in the relative characterization of different catchments. A multiple-methods approach to investigating streamflow recession characteristics should be considered for applications whenever possible.

Meso-Scale Progressive Damage Behavior Characterization of Triaxial Braided Composites under Quasi-Static Tensile Load

2017 ◽  
Vol 25 (2) ◽  
pp. 335-352 ◽  
Author(s):  
Yiru Ren ◽  
Songjun Zhang ◽  
Hongyong Jiang ◽  
Jinwu Xiang
Keyword(s):  
Tensile Load ◽  
Progressive Damage ◽  
Braided Composites ◽  
Damage Behavior ◽  
Static Tensile ◽  
Meso Scale

Characterization of two potential immunotherapeutics in tumor infiltrating lymphocytes (TILs) using flow cytometry and Meso Scale Discovery.

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e15052-e15052
Author(s):  
Karen K Yam ◽  
Stephen Parker ◽  
Michael Agrez ◽  
Christopher Warburton ◽  
Adriana Alcantara ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Tumor Infiltrating Lymphocytes ◽  
Meso Scale Discovery ◽  
Infiltrating Lymphocytes ◽  
Meso Scale

3D Imaging of Strengthening Particles in Cr-V-Mo (13HMF) Steel Using FIB/SEM Tomography

2012 ◽  
Vol 186 ◽  
pp. 41-44
Author(s):  
Władysław Osuch ◽  
Adam Kruk ◽  
Grzegorz Michta ◽  
Aleksandra Czyrska-Filemonowicz
Keyword(s):  
Spatial Distribution ◽  
3D Imaging ◽  
Electron Tomography ◽  
Electron Diffraction Analysis ◽  
Low Alloy Steel ◽  
Detailed Characterization ◽  
Transmission Electron ◽  
Strengthening Particles ◽  
Meso Scale

The electron tomography and transmission electron microscopy studies of the carbides in the 0.5Cr-0.5Mo-0.25V (13HMF) low-alloy steel after service during 160 000 h at 540 °C were carried out. Identification of the carbides was performed by means of electron diffraction analysis. Meso-scale tomography technique, mainly FIB/SEM tomography, was used for detailed characterization of spatial distribution and metrology of the carbides in 13HMF steel. The results achieved confirm the ability of FIB tomography to get 3D reconstruction of internal microstructure of steel as well as to obtain information about the shape and spatial distribution of carbides.

scholarly journals Meso-scale characterization of lithium distribution in lithium-ion batteries using ion beam analysis techniques

2015 ◽  
Vol 299 ◽  
pp. 587-595 ◽  
Author(s):  
R. Gonzalez-Arrabal ◽  
M. Panizo-Laiz ◽  
K. Fujita ◽  
K. Mima ◽  
A. Yamazaki ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Ion Beam ◽  
Lithium Ion ◽  
Ion Beam Analysis ◽  
Analysis Techniques ◽  
Beam Analysis ◽  
Scale Characterization ◽  
Meso Scale
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