Computer Methods in Applied Mechanics and Engineering
Overview
Computer Methods in Applied Mechanics and Engineering is a renowned interdisciplinary journal that focuses on the development and application of computational methods in various fields of engineering and mechanics. It covers a wide range of topics, including numerical analysis, finite element methods, computational fluid dynamics, and structural mechanics. With its emphasis on the integration of computer technology and engineering, this journal serves as a valuable resource for researchers, engineers, and practitioners seeking innovative solutions to complex engineering problems.
Details
Details
Abbr.
Comput Methods Appl Mech Eng
Start
1972
End
Continuing
Frequency
Biweekly, <Feb. 2003->
p-ISSN
0045-7825
e-ISSN
1879-2138
Country
Netherlands
Language
English
Metrics
Metrics
h-index / Ranks: 459
231
SJR / Ranks: 881
2397
CiteScore / Ranks: 1035
11.60
JIF / Ranks: 831
7.2
Recent Articles
1.
Pfaller M, Latorre M, Schwarz E, Gerosa F, Szafron J, Humphrey J, et al.
Comput Methods Appl Mech Eng
. 2024 Oct;
431.
PMID: 39430055
Equilibrated fluid-solid-growth (FSGe) is a fast, open source, three-dimensional (3D) computational platform for simulating interactions between instantaneous hemodynamics and long-term vessel wall adaptation through mechanobiologically equilibrated growth and remodeling (G&R)....
2.
Zanoni A, Geraci G, Salvador M, Menon K, Marsden A, Schiavazzi D
Comput Methods Appl Mech Eng
. 2024 Jun;
429.
PMID: 38912105
We study the problem of multifidelity uncertainty propagation for computationally expensive models. In particular, we consider the general setting where the high-fidelity and low-fidelity models have a dissimilar parameterization both...
3.
Gerosa F, Marsden A
Comput Methods Appl Mech Eng
. 2024 Jun;
425.
PMID: 38826864
Fluid-structure interaction with contact poses profound mathematical and numerical challenges, particularly when considering realistic contact scenarios and the influence of surface roughness. Computationally, contact introduces challenges in altering the fluid...
4.
Gray W, Miller C
Comput Methods Appl Mech Eng
. 2024 Apr;
426.
PMID: 38682154
Comments are provided on the recent paper by Ebadi et al. [3], which demonstrates that the formulated model that was solved contains misconceptions or errors that render the work unsuitable...
5.
Brown A, Salvador M, Shi L, Pfaller M, Hu Z, Harold K, et al.
Comput Methods Appl Mech Eng
. 2024 Mar;
421.
PMID: 38523716
In numerical simulations of cardiac mechanics, coupling the heart to a model of the circulatory system is essential for capturing physiological cardiac behavior. A popular and efficient technique is to...
6.
Masud A, Nashar S, Goraya S
Comput Methods Appl Mech Eng
. 2024 Mar;
417(Pt B).
PMID: 38465256
This paper presents a data-driven discrepancy modeling method that variationally embeds measured data in the modeling and analysis framework. The proposed method exploits the residual between the first-principles theory and...
7.
Liang L, Liu M, Elefteriades J, Sun W
Comput Methods Appl Mech Eng
. 2024 Feb;
416.
PMID: 38370344
Patient-specific finite element analysis (FEA) holds great promise in advancing the prognosis of cardiovascular diseases by providing detailed biomechanical insights such as high-fidelity stress and deformation on a patient-specific basis....
8.
Rubaiyat A, Thai D, Nichols J, Hutchinson M, Wallen S, Naify C, et al.
Comput Methods Appl Mech Eng
. 2024 Feb;
422.
PMID: 38352168
This paper presents a novel data-driven approach to identify partial differential equation (PDE) parameters of a dynamical system. Specifically, we adopt a mathematical "transport" model for the solution of the...
9.
Zhang L, You H, Gao T, Yu M, Lee C, Yu Y
Comput Methods Appl Mech Eng
. 2024 Jan;
417(Pt B).
PMID: 38292246
Gradient-based meta-learning methods have primarily been applied to classical machine learning tasks such as image classification. Recently, PDE-solving deep learning methods, such as neural operators, are starting to make an...
10.
Johnson M, Abdelmalik M, Baidoo F, Badachhape A, Hughes T, Hossain S
Comput Methods Appl Mech Eng
. 2024 Jan;
417(Pt B).
PMID: 38249440
The glymphatic system is a brain-wide system of perivascular networks that facilitate exchange of cerebrospinal fluid (CSF) and interstitial fluid (ISF) to remove waste products from the brain. A greater...