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Applied Sciences
Special Issues
Computer Methods for Direct and Inverse Modelling and Simulation
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Computer Methods for Direct and Inverse Modelling and Simulation

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (30 November 2019) | Viewed by 5692

Special Issue Editors

Dr. Vincenzo Minutolo

E-Mail Website
Guest Editor
Department of Engineering, University of Campania “L. Vanvitelli”, Via Roma, 81031 Aversa, Italy
Interests: mechanics; structural analysis; structural engineering; structural dynamics; mechanics of materials; solid mechanics; computational mechanics; finite element; boundary element method; functionally graded materials; biomechanics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Adriana Brancaccio

E-Mail Website
Guest Editor
Department of Engineering, University of Campania, 81031 Aversa, Italy
Interests: linear and non linear inverse scattering; ground penetrating radar; microwave measurements; microwave tomography; singular values decomposition; detection and localization of defects
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Andrea Vacca

E-Mail Website
Guest Editor
Department of Ingegneria Civile, Edile e Ambientale dell'Università degli Studi di Napoli Federico II, Italy
Interests: hydraulics; fluid dynamics; morphodynamics; spectral methods; linear stability

Special Issue Information

Dear Colleagues,

Computer methods for the simulation and inverse analysis of natural or human-induced phenomena have reached vital importance both in questions of practical life and in scientific and technological research. The refinement of the procedures has caused considerable specialization and the growth of a great number of different approaches. In the recent development of techniques, the integration of classic methods is increasingly widespread, especially with techniques borrowed from the CAD and gaming fields. In addition, techniques derived from neural networks and machine learning are becoming popular. Computer methods are applied in any branch of knowledge. However, scientists from different research areas often share the same background and basic numerical techniques.

This Special Issue is focused on collecting works from multiple fields of science and engineering that propose different and innovative visions of the main techniques and advances in the application of computational methods for direct and inverse analyses.

A non-exhaustive list of the topics to be discussed is the following:

  • Numerical and Discrete Mathematics
  • Fracture, Damage, and Failure Mechanics
  • Advanced Discretization Techniques (Virtual, Finite, Boundary Element, Multipole, Meshless)
  • Multiscale and Multiphysics Systems
  • Biomechanics and Mechanobiology
  • Materials Discovery; Composites, Multifunctional, and Structural Materials; MetaMaterials
  • Computational Fluid Dynamics and Transport Phenomena
  • Numerical Methods and Algorithms in Science and Engineering
  • Computational Electromagnetics
  • Numerical Techniques in Direct and Inverse Scattering
  • EM Modelling and Simulation Tools
  • Uncertainty, Reliability, and Error Estimation
  • Structural Mechanics, Dynamics, and Engineering
  • Nano- and Micromechanics of Materials
  • Inverse Problems, Optimization, and Design
  • Fluid-structure Interaction, Contact, and Interfaces
  • Geomechanics and Natural Materials
  • Data-Driven Analysis and Machine Learning
  • Imaging and Visualization

Prof. Dr. Vincenzo Minutolo
Prof. Dr. Adriana Brancaccio
Prof. Dr. Andrea Vacca
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Elasticity
  • Plasticity
  • Structures
  • Structure Instability
  • Fluid Dynamics
  • Biomechanics
  • Electromagnetics
  • Scattering
  • Inverse scattering
  • Antennas
  • Optimization
  • Safety assessment
  • Soil–structure interaction
  • Geomechanics
  • Fluid–Structure interaction
  • Dynamics of Structures
  • Elastodynamics
  • Aero-elasticity
  • Materials and Metamaterials
  • Meshless Method
  • Nurbs
  • Shape founding
  • Shape optimization
  • Finite Element
  • Boundary Element
  • Boundary Integral Equation
  • Virtual Element
  • Mixed Finite Element
  • Finite Volume
  • ODE
  • PDE
  • Singular-Value Decomposition
  • Eigenvalue
  • Method of Moments
  • Wavelets

Published Papers (2 papers)

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Research

19 pages, 742 KiB  
Article
Subsurface Detection of Shallow Targets by Undersampled Multifrequency Data and a Non-Cooperative Source
by Adriana Brancaccio, Angela Dell’Aversano, Giovanni Leone and Raffaele Solimene
Appl. Sci. 2019, 9(24), 5383; https://doi.org/10.3390/app9245383 - 9 Dec 2019
Cited by 12 | Viewed by 1735
Abstract
Imaging buried objects embedded within electrically large investigation domains can require a large number of measurement points. This is impractical if long data acquisition time cannot be tolerated or the system is conceived to work at some stand-off distance from the air/soil interface; [...] Read more.
Imaging buried objects embedded within electrically large investigation domains can require a large number of measurement points. This is impractical if long data acquisition time cannot be tolerated or the system is conceived to work at some stand-off distance from the air/soil interface; for example, if it is mounted over some flying platform. In order to reduce the number of spatial measurements, here, we propose a method for detecting and localizing shallowly buried scattering targets from under-sampled far-field data. The method is based on a scattering model derived from the equivalence theorem for electromagnetic radiation. It exploits multi-frequency data and does not require that the transmitter and receivers are synchronized, making the source non-cooperative. To provide a benchmark against which spatial data have to be reduced, first, the number of required spatial measurements is examined by analyzing the properties of the relevant scattering operator. Then, since under-sampling data produces aliasing artifacts, frequency diversity (i.e., multi-frequency data) is exploited to mitigate those artifacts. In particular, single-frequency reconstructions are properly fused and a criterion for selecting the frequencies to be used is provided. Numerical examples show that the method allows for satisfactory target transverse localization with a number of measurements that are much less than the ones required by other methods commonly used in subsurface imaging. Full article
(This article belongs to the Special Issue Computer Methods for Direct and Inverse Modelling and Simulation)
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17 pages, 4391 KiB  
Article
Approximation of Non-Linear Stress–Strain Curve for GFRP Tensile Specimens by Inverse Method
by Dong Seok Shin, Young Shin Kim and Euy Sik Jeon
Appl. Sci. 2019, 9(17), 3474; https://doi.org/10.3390/app9173474 - 22 Aug 2019
Cited by 4 | Viewed by 3576
Abstract
Studying the characteristics of materials through a finite element analysis (FEA) has various benefits; hence, many studies have been conducted to improve the reliability of the analysis results. In general, the mechanical properties used in FEA for metals and metal composites are stress–strain [...] Read more.
Studying the characteristics of materials through a finite element analysis (FEA) has various benefits; hence, many studies have been conducted to improve the reliability of the analysis results. In general, the mechanical properties used in FEA for metals and metal composites are stress–strain data obtained through tensile tests, which are used for modeling from a macroscopic perspective. While many studies have been conducted on metal materials, there are limited studies on the analysis of polymer composite materials produced through injection and special processing. In this study, existing inverse methods were applied, and an FEA was conducted to reproduce the axial displacement of the tensile specimens comprising glass fiber-reinforced polymer (GFRP); further, errors were examined by comparing the test and analysis results. To reduce such errors, the experiment and the FEA results were analyzed through parameter optimization based on various empirical formulas. The accuracy of various inverse methods were examined and an inverse method suitable for GFRP was proposed. Full article
(This article belongs to the Special Issue Computer Methods for Direct and Inverse Modelling and Simulation)
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