ENGINEERING COMPUTATIONS

Scope & Guideline

Innovating the future through computational insights.

Introduction

Immerse yourself in the scholarly insights of ENGINEERING COMPUTATIONS 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
ISSN0264-4401
PublisherEMERALD GROUP PUBLISHING LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1984 to 2024
AbbreviationENG COMPUTATION / Eng. Comput.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressFloor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE LS1 4DL, ENGLAND

Aims and Scopes

ENGINEERING COMPUTATIONS focuses on the development and application of computational methods in various engineering disciplines. The journal publishes innovative research that integrates computational techniques with practical applications, contributing to advancements in engineering analysis and design.
  1. Computational Mechanics:
    The journal emphasizes the use of computational methods in mechanics, including finite element methods (FEM), boundary element methods (BEM), and meshless methods, applied to solve complex engineering problems.
  2. Optimization Techniques:
    Research on optimization methods, particularly multi-objective optimization and design optimization, is a core focus, aiming to improve efficiency and performance in engineering systems.
  3. Machine Learning Applications:
    Increasingly, the journal publishes studies that apply machine learning and artificial intelligence techniques to predict material behavior, optimize designs, and enhance engineering processes.
  4. Simulation of Physical Phenomena:
    The journal covers simulations of physical phenomena in various engineering contexts, including fluid dynamics, structural analysis, and thermal processes, using advanced computational techniques.
  5. Interdisciplinary Approaches:
    Research that bridges multiple engineering disciplines, such as mechanical, civil, and materials engineering, is encouraged, highlighting the interdisciplinary nature of modern engineering challenges.
ENGINEERING COMPUTATIONS is witnessing exciting trends and emerging themes that reflect the evolving landscape of engineering research and technology. These areas highlight the journal's adaptability and responsiveness to current engineering challenges.
  1. Data-Driven Engineering:
    There is a growing emphasis on data-driven approaches, including the application of machine learning and big data analytics in engineering design, predictive maintenance, and performance optimization.
  2. Sustainable Engineering Practices:
    Research focusing on sustainability, including energy-efficient designs, green materials, and eco-friendly engineering practices, is increasingly prevalent, aligning with global sustainability goals.
  3. Advanced Materials Modeling:
    The journal is seeing an uptick in studies related to the computational modeling of advanced materials, such as functionally graded materials and bio-inspired composites, reflecting the need for innovative materials in engineering.
  4. Digital Twin Technology:
    Emerging research on digital twins and their applications in real-time monitoring and predictive analytics for engineering systems is gaining traction, signaling a shift towards more integrated and smart engineering solutions.
  5. Complex Systems Simulation:
    There is a trend towards the simulation of complex systems that encompass multiple physical phenomena and interactions, requiring sophisticated computational models and interdisciplinary collaboration.

Declining or Waning

While ENGINEERING COMPUTATIONS continues to thrive in various domains, certain themes have shown a decline in recent publications, reflecting shifts in research focus and technological advancements.
  1. Traditional Analytical Methods:
    There is a noticeable decrease in papers focused on traditional analytical methods, as researchers increasingly favor computational and numerical approaches that provide more flexible and accurate solutions.
  2. Basic Theoretical Studies:
    The journal has seen fewer contributions that solely focus on theoretical explorations without computational applications, as the trend shifts towards applied research with practical implications.
  3. Single-Disciplinary Studies:
    Research that remains strictly within a single engineering discipline is less frequent, as interdisciplinary approaches become more prominent and necessary for addressing complex engineering problems.

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