Taylor microscale in turbulence
E638889
The Taylor microscale in turbulence is a characteristic length scale that quantifies the size of eddies where viscous dissipation begins to significantly affect turbulent motion, bridging the gap between large energy-containing eddies and the smallest dissipative scales.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Taylor microscale in turbulence canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7051675 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor microscale in turbulence Context triple: [G. I. Taylor, knownFor, Taylor microscale in turbulence]
-
A.
The Structure of Turbulent Shear Flow
The Structure of Turbulent Shear Flow is a foundational scholarly work in fluid mechanics that analyzes the behavior, organization, and modeling of turbulence in shear flows.
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B.
The Theory of Homogeneous Turbulence
The Theory of Homogeneous Turbulence is a classic monograph in fluid dynamics that provides a rigorous mathematical treatment of statistically uniform turbulent flows.
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C.
A First Course in Turbulence
A First Course in Turbulence is a foundational textbook that introduces the theory, physics, and mathematical modeling of turbulent flows for advanced students in fluid mechanics.
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D.
Kolmogorov spectrum of turbulence
The Kolmogorov spectrum of turbulence is a fundamental theory in fluid dynamics that predicts how kinetic energy is distributed across different scales in fully developed turbulent flow, most famously yielding the −5/3 power law for the inertial subrange.
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E.
Turbulent Flows
Turbulent Flows is a comprehensive graduate-level textbook that rigorously presents the theory, modeling, and simulation of turbulent fluid motion in engineering and physics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taylor microscale in turbulence Target entity description: The Taylor microscale in turbulence is a characteristic length scale that quantifies the size of eddies where viscous dissipation begins to significantly affect turbulent motion, bridging the gap between large energy-containing eddies and the smallest dissipative scales.
-
A.
The Structure of Turbulent Shear Flow
The Structure of Turbulent Shear Flow is a foundational scholarly work in fluid mechanics that analyzes the behavior, organization, and modeling of turbulence in shear flows.
-
B.
The Theory of Homogeneous Turbulence
The Theory of Homogeneous Turbulence is a classic monograph in fluid dynamics that provides a rigorous mathematical treatment of statistically uniform turbulent flows.
-
C.
A First Course in Turbulence
A First Course in Turbulence is a foundational textbook that introduces the theory, physics, and mathematical modeling of turbulent flows for advanced students in fluid mechanics.
-
D.
Kolmogorov spectrum of turbulence
The Kolmogorov spectrum of turbulence is a fundamental theory in fluid dynamics that predicts how kinetic energy is distributed across different scales in fully developed turbulent flow, most famously yielding the −5/3 power law for the inertial subrange.
-
E.
Turbulent Flows
Turbulent Flows is a comprehensive graduate-level textbook that rigorously presents the theory, modeling, and simulation of turbulent fluid motion in engineering and physics.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
characteristic length scale
ⓘ
turbulence length scale ⓘ |
| appearsIn |
Kolmogorov similarity hypotheses
NERFINISHED
ⓘ
turbulence closure models ⓘ |
| appliesTo |
homogeneous turbulence
ⓘ
incompressible turbulence ⓘ isotropic turbulence ⓘ |
| assumes | local isotropy in small-scale turbulence ⓘ |
| bridges |
Kolmogorov length scale
ⓘ
integral length scale ⓘ |
| characterizes | onset of viscous dissipation effects in eddies ⓘ |
| definedInTermsOf |
longitudinal velocity autocorrelation function
ⓘ
mean square velocity fluctuations ⓘ mean square velocity gradients ⓘ |
| dependsOn |
dissipation rate of turbulent kinetic energy
ⓘ
fluid viscosity ⓘ turbulent kinetic energy ⓘ |
| describes |
intermediate scale of turbulent eddies
ⓘ
scale where viscous effects become important ⓘ |
| field |
fluid mechanics
ⓘ
turbulence research ⓘ |
| hasDimension | length ⓘ |
| introducedBy | G. I. Taylor NERFINISHED ⓘ |
| largerThan | Kolmogorov length scale NERFINISHED ⓘ |
| measuredIn | meters ⓘ |
| namedAfter | G. I. Taylor NERFINISHED ⓘ |
| occursAt | transition between inertial and viscous ranges ⓘ |
| partOf | hierarchy of turbulence scales ⓘ |
| relatedTo |
Reynolds number
ⓘ
energy spectrum of turbulence ⓘ turbulent kinetic energy dissipation rate ⓘ velocity gradients ⓘ |
| relevantFor |
design of turbulence experiments
ⓘ
grid resolution requirements in DNS ⓘ |
| smallerThan | integral length scale ⓘ |
| symbol | λ ⓘ |
| usedIn |
atmospheric boundary layer modeling
ⓘ
atmospheric turbulence studies ⓘ combustion turbulence analysis ⓘ engineering turbulence modeling ⓘ experimental turbulence analysis ⓘ fluid dynamics ⓘ ocean turbulence studies ⓘ turbulence theory ⓘ wind tunnel turbulence measurements ⓘ |
| usedToCharacterize |
isotropy of small scales
ⓘ
small-scale structure of turbulence ⓘ |
| usedToEstimate |
dissipation rate from velocity gradients
ⓘ
turbulence Reynolds number ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Taylor microscale in turbulence Description of subject: The Taylor microscale in turbulence is a characteristic length scale that quantifies the size of eddies where viscous dissipation begins to significantly affect turbulent motion, bridging the gap between large energy-containing eddies and the smallest dissipative scales.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.