JOURNAL OF TURBULENCE

Scope & Guideline

Connecting Scholars in the World of Turbulence

Introduction

Immerse yourself in the scholarly insights of JOURNAL OF TURBULENCE with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1468-5248
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2000 to 2024
AbbreviationJ TURBUL / J. Turbul.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The Journal of Turbulence focuses on advancing the understanding and modeling of turbulent flows across various applications and conditions. It emphasizes a multifaceted approach to turbulence research, integrating theoretical, numerical, and experimental methodologies.
  1. Turbulent Flow Dynamics:
    Research on the fundamental characteristics and behaviors of turbulent flows, including the study of velocity fields, energy dissipation, and the influence of various parameters such as Reynolds number.
  2. Modeling and Simulations:
    Development and evaluation of turbulence models, including large-eddy simulations (LES), Reynolds-averaged Navier-Stokes (RANS), and hybrid approaches to accurately predict turbulent flow behavior under diverse conditions.
  3. Boundary Layer Studies:
    Exploration of turbulent boundary layers, particularly focusing on non-equilibrium conditions, roughness effects, and pressure gradients, which are crucial for understanding flow interactions with surfaces.
  4. Stratified and Multi-Phase Flows:
    Investigation of turbulence in stratified fluids and multi-phase systems, addressing the complexities of mixing and transport phenomena in such environments.
  5. Experimental Techniques:
    Application of advanced experimental methodologies, such as particle image velocimetry (PIV) and laser-induced fluorescence, to study turbulence and validate numerical models.
Recent publications in the Journal of Turbulence highlight emerging themes that reflect the evolving landscape of turbulence research. These trends indicate a growing emphasis on complex systems and advanced methodologies.
  1. High Reynolds Number Turbulence:
    Increased focus on high Reynolds number flows, particularly non-equilibrium conditions, which are critical in aerospace and engineering applications, as evidenced by numerous studies addressing these scenarios.
  2. Advanced Computational Techniques:
    Emergence of innovative computational methods, such as deep learning and reduced-order modeling, which are being applied to turbulence modeling and simulation to improve efficiency and accuracy.
  3. Turbulence in Stratified Flows:
    Growing interest in the dynamics of stratified turbulent flows, including interactions with buoyancy and multi-phase systems, which are essential for environmental and industrial applications.
  4. Non-equilibrium Boundary Layer Flows:
    Significant research on non-equilibrium turbulent boundary layers, particularly in the context of rough surfaces and complex geometries, indicating a shift towards practical applications in engineering.
  5. Hybrid Modeling Approaches:
    Trend towards hybrid turbulence models that combine various techniques, such as LES and RANS, to enhance predictive capabilities in complex flow scenarios.

Declining or Waning

While the Journal of Turbulence has consistently published a range of studies, certain themes have shown a decline in focus over recent years. This may indicate a shifting interest within the community or the maturation of these topics.
  1. Classical Turbulence Theory:
    Research on traditional turbulence theories, such as Kolmogorov's theories of turbulence, appears to be less prominent, suggesting a shift towards more complex and application-based studies.
  2. Simplified Models:
    The use of overly simplified turbulence models that do not account for high Reynolds number effects or complex flow interactions is decreasing, as researchers favor more sophisticated and accurate modeling techniques.
  3. Basic Experimental Studies:
    There is a noticeable decline in publications focusing solely on basic experimental studies without substantial theoretical or computational frameworks, indicating a preference for integrated approaches.

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