Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Each year, the concentration of dissolved inorganic carbon (DIC) in the mixed layer at Station S in the Sargasso Sea decreases from winter to summer by about 30 umol/kg. The authors of this study demonstrate that by simultaneously observing changes in the stable isotopic ration of DIC, it is possible to quantify the contribution of physical and biological processes to this summer-fall drawdown. They find that biology is the dominant contrbutor to the drawdown, but that physical processes also play an important role.

Seawater --- Carbon --- Carbon cycle (Biogeochemistry) --- Analysis. --- air sea boundary layer. --- air sea exchange. --- bermuda. --- biogeochemistry. --- carbon balance. --- carbon cycle. --- carbon. --- conservation. --- dic. --- ecosystem. --- environment. --- environmentalism. --- healthy oceans. --- inorganic carbon. --- island. --- marine environments. --- natural science. --- nature. --- nonfiction. --- ocean. --- oceanography. --- pollution. --- sargasso sea. --- science. --- sea. --- seawater. --- sediment traps. --- surface oceans. --- tropics. --- upper ocean. --- water health.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This collection represents a single volume of technical papers presented at the Annual International DIC Society Conference and SEM Fall Conference organized by the Society for Experimental Mechanics and Sandia National Laboratories and held in Philadelphia, PA, November 7-10, 2016. The volume presents early findings from experimental, standards development and various other investigations concerning digital image correlation - an important area within Experimental Mechanics. The area of Digital Image Correlation has been an integral track within the SEM Annual Conference spearheaded by Professor Michael Sutton from the University of South Carolina. In 2016, the SEM and Sandia joined their collaborative strengths to launch a standing fall meeting focusing specifically on developments in the area of Digital Image Correlation. The contributed papers within this volume span numerous technical aspects of DIC including standards development for the industry. .

Materials science. --- Mechanics. --- Mechanics, Applied. --- Engineering --- Materials Science. --- Characterization and Evaluation of Materials. --- Theoretical and Applied Mechanics. --- Materials Engineering. --- Materials. --- Image processing --- Digital image correlation --- Digital techniques --- Correlation, Digital image --- DIC (Digital image correlation) --- Nondestructive testing --- Surfaces (Physics). --- Mechanics, applied. --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Physics --- Surface chemistry --- Surfaces (Technology) --- Engineering—Materials. --- Classical mechanics --- Newtonian mechanics --- Dynamics --- Quantum theory --- Material science --- Physical sciences --- Materials --- Characterization and Analytical Technique. --- Engineering Mechanics. --- Analysis. --- Engineering materials --- Industrial materials --- Engineering design --- Manufacturing processes

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In this book, modern trends in testing and simulating heterogeneous welded joints, including multi-scale approaches, resulting in appropriate flaw assessment procedures, are highlighted and discussed. The eleven research papers presented in this book give some overview of recent analytical, numerical, and experimental investigations in the field of yield strength mismatched welded joint behaviour. The papers cover several important issues to more accurately characterise the fracture mechanics behaviour and structural integrity assessments.

welding --- distortion --- stamping --- model --- prediction --- actual stress–strain diagram --- undermatching weld --- martensitic steel --- DIC --- FEM --- welded joint --- finite element method (FEM) --- multiple defects --- stress concentration --- weld metals --- welded joints --- damage mechanics --- finite element analysis --- crack growth --- ductile fracture --- Al7075 --- TC4 --- contact reactive brazing --- Cu deposited --- creep --- C* integral --- mismatched weld --- CT specimen --- yield load --- heterogeneous weld --- numerical analysis --- SE(B) specimen --- metal weld --- strength mismatch --- fracture --- plastic correction factors --- fixture rollers --- J-R resistance curve --- refinery --- piping --- API 5L X80 steel --- nonlinear strength analyses --- cleavage fracture stress --- medium carbon forging steel --- microalloyed steel --- acicular ferrite --- heterogeneous microstructure --- crack-initiation energy --- crack-propagation energy --- fracture toughness

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Digital image correlation (DIC) has become the most popular full field measurement technique in experimental mechanics. It is a versatile and inexpensive measurement method that provides a large amount of experimental data. Because DIC takes advantage of a huge variety of image modalities, the technique allows covering a wide range of space and time scales. Stereo extends the scope of DIC to non-planar cases, which are more representative of industrial use cases. With the development of tomography, digital volume correlation now provides access to volumetric data, enabling the study of the inner behavior of materials and structures.However, the use of DIC data to quantitatively validate models or accurately identify a set of constitutive parameters remains challenging. One of the reasons lies in the compromises between measurement resolution and spatial resolution. Second, the question of the boundary conditions is still open. Another reason is that the measured displacements are not directly comparable with usual simulations. Finally, the use of full field data leads to new computational challenges.

n/a --- image classification --- non-contact video gauge --- X-ray microtomography --- initial condition --- accuracy --- digital image correlation technique --- digital volume correlation --- optical coherence elastography --- automated fiber placement (AFP) --- copper plate --- rupture speed --- layered material --- non-liner dynamic deformation --- composite inspection --- automated systems --- finite element method --- strain measurement --- virtual fields method --- digital volumetric speckle photography --- spatiotemporal evolution --- non-contact measurement --- composite materials --- strain --- interior 3D deformation --- high-speed camera --- gradient correlation functions --- spatial sampling rate --- stress intensity factor --- static analysis --- finite element model updating --- fracture process zone --- elevated temperature --- geosciences --- monitoring --- red sandstone --- structural testing --- cross dichroic prism --- arch structures --- traceable calibration --- stress concentration --- fault geometry --- slip velocity --- uniaxial tensile test --- experimental mechanics --- multi-perspective --- image registration --- super pressure balloon --- stress-strain relationship --- error --- measurement --- earthquake rupture --- acoustic emission technique --- composite structures --- 3D deformation --- traction continuity across interfaces --- DIC --- laser speckles --- image shadowing --- dynamic interfacial rupture --- Digital image correlation (DIC) --- strain gage --- inverse method --- digital image correlation --- characterization of composite materials --- automated composite manufacturing --- woven composite beam --- machine learning --- experimental-numerical method --- 3D digital image correlation --- underwater impulsive loading --- image cross-correlation --- interlaminar tensile strength --- large deformation --- single camera --- image correlation

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In this Special Issue, we have gathered work on simulations of polycrystalline metals and alloys at various length scales to model multiscale localization phenomena such as slip bands, cracks, and twins. The series highlights innovative techniques that combine simulation and experiments to capture material production and guide the development of forming theories. The published work helps to understand the effect of microstructure characteristics on deformation and damage behavior under multiaxial load conditions. Furthermore, these models and the studies can be used with machine learning technologies to optimize microstructure functions for materials application and process paths.

Technology: general issues --- Chemical engineering --- crystal plasticity --- twinning --- detwinning --- dislocation --- X-ray diffraction --- SEM-DIC --- Magnesium --- plastic crystals --- Raman spectroscopy --- low temperature --- high-pressure --- L-Leucinium hydrogen maleate --- plasticity --- bending crystal --- damage mechanics --- numerical simulation --- local deformation behavior --- in situ tensile test --- VEDDAC --- DAMASK --- digital image correlation --- non-metallic inclusions --- discrete dislocation dynamics --- finite element method --- multiscale model --- size effects --- magnesium alloy --- slip transfer --- crystallographic misorientation --- ductility --- multilevel models --- dynamic recrystallization --- grain shape and grain size --- defect and grain structure evolution --- representative volume element --- least square method --- alternative error method --- dual-phase steel --- grain boundary --- characteristics --- electron microscopy --- cubic quasicrystal piezoelectric materials --- crack --- screw dislocation --- complex variable function method --- aluminum wires --- overhead power transmission lines --- XRD --- EBSD --- densitometry --- elastoplastic properties --- density --- near-surface layer --- solder joints --- lead-free --- reliability --- creep --- fatigue --- n/a