Finite Element Methods with Applications in Civil and Mechanical Engineering
A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".
Deadline for manuscript submissions: 15 July 2024 | Viewed by 8139
Special Issue Editors
Interests: finite element analysis; numerical methods; superplastic alloy forming
Interests: sheet metal deformation; finite element analysis; modeling and simulation
Special Issue Information
Dear Colleagues,
It is a recognized fact by those in the field that the finite element method is one of the most widely used numerical methods for solving complex problems in mechanical engineering, civil engineering, and mathematical physics, providing appropriate approximations. In the mid-1950s, as the requirements of the development of the aircraft industry in the context of aircraft structure analysis emerged, the computational details, the necessary mathematical apparatus, and incipient software were developed and strengthened. Within a decade, the potential of this method for solving a multitude of problem types in applied science and engineering was recognized. Over the years, the finite element method has been so well established, with emphasis on its use, development, and promotion, that today it is regarded as one of the most effective methods for solving a wide range of practical problems. Additionally, this new method has become an area of research with great potential for expansion and development, not only for engineers but also for mathematicians oriented towards the development and promotion of applications.
This Special Issue is dedicated to exploring the recent advances in finite element methods with applications in civil and mechanical engineering. Both the original research articles and review articles within the scope of the Special Issue are welcomed.
Dr. Gavril Grebenisan
Dr. Alin Pop
Dr. Dan Claudiu Negrău
Guest Editors
Manuscript Submission Information
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Keywords
- finite element method
- computational mechanics
- numerical methods
- mechanical engineering
- civil engineering
- aircraft structure analysis
- the differential formulation
- weighted residual methods
- the principle of virtual displacements
- the finite difference differential
- eigenvalue problems
- vector iteration methods
- transformation methods
- the subspace iteration method
- isoparametric formulation
- mixed methods
- Galerkin least squares method
- displacement/pressure formulations
- dynamic analysis
- nonlinear geometric problems
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Buckling solutions of stiffened panels with varying degree of anisotropy using the Rayleigh-Ritz method
Authors: D.G Stamatelos; G.N Labeas
Affiliation: Hellenic Air Force Academy; University of Patras
Abstract: An energy based solution for calculating buckling loads of partially anisotropic stiffened panels is presented, using a discrete approach for the mathematical modelling of the stiffened panels. The developed formulations extend the Rayleigh-Ritz method and explore the available anisotropic unstiffened panel buckling solutions to interesting cases of anisotropic stiffened panels with varying degree of anisotropy. Moreover, a reference Finite Element (FE) model is developed in order to compare the calculated buckling loads and validate the modelling approach. The assumptions and restrictions of the applied Rayleigh-Ritz method are discussed, such that the limitations of the developed method are identified. Keywords: Buckling, Stiffened panel, Anisotropic panel, Rayleigh-Ritz, Energy Solution
Title: A Machine Learning approach in Dynamic Analysis of Buildings
Authors: Manolis Georgioudakis; Vagelis Plevris
Affiliation: National Technical University of Athens; Qatar University in Doha
Abstract: Dynamic analysis of structures consists a compute-intensive method which must be considered for an accurate seismic performance assessment in civil engineering applications. To avoid these computational demanding procedures, simplified methods are often used instead by engineers in practice, to estimate the dynamic behavior of the complex structures. This paper presents the assessment of a bunch of machine learning (ML) algorithms, with different characteristics aiming to predict the dynamic analysis of multi-storey buildings. Large datasets of dynamic response analyses results are generated through standard sampling methods. In an effort to obtain the best algorithm performance, an extensive hyper-parameter search is elaborated, followed by the corresponding feature importance. The best ML model is deployed in a web application aiming to provide predictions for dynamic response of multi-storey buildings according to their characteristics.
Title: Calculation of linear buckling load for a frame modelled with one-finite-element beams and columns
Authors: Javier Urruzola; Iñaki Garmendia
Affiliation: Mechanical Engineering Department. University of the Basque Country UPV/EHU. Engineering School of Gipuzkoa. Plaza de Europa, 1. E-20018 Donostia - San Sebastián (Spain)
Abstract: Critical linear buckling load calculation is one of the possible ways to check structural stability. Structural analysis programs usually model beams and columns with just one element, but this is not sufficient to obtain an accurate value of the critical buckling load when the buckling mode is associated with an effective length less than twice the element length. This paper presents a method for accurate calculation of the buckling load of frames modeled with only one finite element per structural element. For this purpose, local corrections are applied to some critical elements and the calculation is repeated in a second iteration. The validity of the presented method is confirmed by several examples ranging from simple canonical cases to large structures.