Computational mechanics journals | Elsevier

Computer Methods in Applied Mechanics and Engineering

ISSN: 0045-7825
5 Year impact factor: 6.7
Impact factor: 6.9

The development of computational methods for the solution of scientific and engineering problems governed by the laws of mechanics was one of the great scientific and engineering achievements of the second half of the 20th century, with a profound impact on science and technology. This is accomplished through advanced mathematical modeling and numerical solutions reflecting a combination of concepts, methods and principles that are often interdisciplinary in nature and span several areas of mechanics, mathematics, computer science and other scientific disciplines as well. The continued staggering developments of the 21st century have now enabled simulation capabilities that are leading to tangible technological achievements for the clear betterment of mankind. Computer Methods in Applied Mechanics and Engineering was founded over five decades ago, providing a platform for the publication of papers in this important field of computational science and engineering. The range of appropriate contributions is very wide. It covers any type of computational method for the simulation of complex physical problems leading to the analysis and design of engineering products and systems. This includes theoretical development and rational applications of mathematical models and numerical algorithms related to finite elements, boundary elements, finite differences, finite volumes, meshless discretization methods, isogeometric methods, molecular dynamics, ab-initio calculations, physically-based machine-learning methods and digital-twin technologies, in the following fields of simulation-based engineering science: Solid and structural mechanics Fluid mechanics Mechanics of materials Heat transfer Dynamics Geomechanics Acoustics Biomechanics NanomechanicsAtomistics Molecular dynamics Quantum mechanics Electromagneticsand also includes virtual design, multiscale phenomena, from nanoscale to macroscale, multiphysics problems, parallel computing, optimization, machine learning, probabilistic and stochastic approaches.CMAME publishes original papers at the forefront of modern research describing significant developments of computational methods in solving problems of applied mechanics and engineering.

Computers & Fluids

ISSN: 0045-7930
5 Year impact factor: 2.7
Impact factor: 2.5

Computers & Fluids is multidisciplinary. The term 'fluid' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology, aeroacoustics and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology. Applications will be found in most branches of engineering and science: mechanical, civil, chemical, aeronautical, medical, geophysical, nuclear and oceanographic. These will involve problems of air, sea and land vehicle motion and flow physics, energy conversion and power, chemical reactors and transport processes, ocean and atmospheric effects and pollution, biomedicine, noise and acoustics, and magnetohydrodynamics amongst others. The development of numerical methods relevant to fluid flow computations, computational analysis of flow physics and fluid interactions and novel applications to flow systems and to design are pertinent to Computers & Fluids.The journal also accepts papers dealing with uncertainty quantification in fluid flow simulations, reduced-order and surrogate models for fluid flows, optimization and control. Papers dealing with machine learning approaches applied to fluid flow modeling are welcome, provided they show excellent scientific character. In particular, the authors are encouraged to perform comparisons with traditional numerical reconstruction methods, to provide a clear presentation of training vs validation cases, together with sufficient diversity in these cases, to analyze the physical consistency/theoretical analysis of the ML model, and to discuss the limitations of the method as well as its merits.

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Journals in Computational mechanics

Computer Methods in Applied Mechanics and Engineering

Computers & Fluids