Computational Mechanics in Seismic Wave Propagation Analyses

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (30 December 2022) | Viewed by 1324

Special Issue Editors


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Guest Editor
School of Engineering and Technology, Central Michigan University, Mount Pleasant, MI 48859, USA
Interests: computational mechanics; finite element method; spectral element method; boundary element method; wave propagation; inverse problems; machine learning

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Guest Editor
Department of Civil and Environmental Engineering, Hongik University, Seoul 04066, Republic of Korea
Interests: wave propagation and inverse problems in engineering; structural damage identification; finite elements and boundary elements in applied mechanics; seismic fragility analysis of structures; data-driven mechanics
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Guest Editor
Affiliation Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, TN 37240, USA
Interests: inverse problems; uncertainty quantification; machine learning; digital twins
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Guest Editor
Department of Civil, Architectural & Environmental Engineering, University of Texas at Austin, Austin, TX 78712, USA
Interests: wave mechanics; inverse problems; condition assessment; numerical methods; computational simulations of physical processes
* Advisor

Special Issue Information

Dear Colleagues,

In recent years, significant advances have been achieved in computational methods used for modeling seismic wave propagation as well as for engineering and scientific applications, such as geomaterial characterization, soil-structure interaction, elastic metamaterials, etc. Depending on the application of interest, the temporal and spatial scales of the simulation, constitutive laws, interface and boundary conditions, and numerical schemes need to be judiciously selected. This Special Issue will publish high-quality, original research papers, in (but not limited to) the overlapping fields of the following computational modeling studies in seismic wave propagation analyses and structural dynamics:

  • Numerical methods for solving governing wave physics equations (finite element method, spectral element method, boundary element method, discrete element method, meshfree method);
  • Wave-absorbing boundary condition (perfectly matched layers, infinite elements);
  • Soil dynamics and/or ground motion simulations;
  • Structural dynamics;
  • Soil-structure interaction;
  • Domain reduction method;
  • Simulations of liquefaction and/or waves in poroelastic media;
  • Fluid-solid interaction and/or earthquake-induced sloshing;
  • Nonlinear dynamics;
  • Time-domain or frequency-domain analysis;
  • Site characterization and/or inverse problem;
  • Probabilistic modeling and/or uncertainty quantification;
  • Seismic metamaterial and/or seismic cloaking;
  • Seismic analyses of structures (bridges, dams, levees, retaining walls, buildings, tunnels, railroads, etc.);
  • Multiphysics simulations for structural characterization;
  • Large-scale simulation of seismic wave motion.

Dr. Chanseok Jeong
Dr. Jun Won Kang
Dr. Pranav Karve
Guest Editors

Prof. Dr. Loukas Kallivokas
Advisor

Manuscript Submission Information

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Keywords

  • computational mechanics
  • seismic wave propagation analyses of structures and geomaterials

Published Papers (1 paper)

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Research

12 pages, 4524 KiB  
Communication
Improvement in Runtime Speed for Frequency Domain Soil–Structure Interaction Analysis Using a Coarray Parallel Processing Technique
by Jae-Min Kim, Jae-Sung Lim and Hyeok-Ju Lee
Appl. Sci. 2023, 13(4), 2356; https://0-doi-org.brum.beds.ac.uk/10.3390/app13042356 - 11 Feb 2023
Viewed by 995
Abstract
In this paper, we propose a new algorithm for introducing Coarray Fortran (CAF) into a program that dynamically analyzes the frequency domain in soil–structure interactions. This was implemented in KIESSI-3D, which is frequency domain soil-structure interaction analysis computer code based on finite and [...] Read more.
In this paper, we propose a new algorithm for introducing Coarray Fortran (CAF) into a program that dynamically analyzes the frequency domain in soil–structure interactions. This was implemented in KIESSI-3D, which is frequency domain soil-structure interaction analysis computer code based on finite and infinite element techniques, and the performance of analysis speed based on the number of images (or coarrays) and cores per image was evaluated. For the performance evaluation, we used examples of full-scale nuclear power plant buildings with a shallow foundation model as well as a deep foundation model. In terms of analysis speed, the new KIESSI-3D improved the analysis speed by an average of 2.78 times for the shallow foundation problem and 2.69 times for the deep foundation problem, compared with the existing KIESSI-3D, because of the new algorithm and CAF. Further, as the number of cores and the internal memory size in the computer systems increased, the efficiency of also parallel processing increased. Full article
(This article belongs to the Special Issue Computational Mechanics in Seismic Wave Propagation Analyses)
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