MeshCleaner: A Generic and Straightforward Algorithm for Cleaning Finite Element Meshes

Mei, Gang; Cuomo, Salvatore; Tian, Hong; Xu, Nengxiong; Peng, Linjun

doi:10.1007/s10766-017-0507-0

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…The mesh generation time will also be significantly reduced with that method. According to the features of the geometric model, quite adaptive high-quality tetrahedral mesh generation and smoothing [5 , 6] of the geological model will be implemented.…”

Section: Discussionmentioning

confidence: 99%

Method for generating high-quality tetrahedral meshes of geological models by utilizing CGAL

Wang

Mei

2020

MethodsX

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High-quality computational meshes are crucial in the analysis of displacements and stabilities of rock and soil masses. In this paper, we present a method for generating high-quality tetrahedral meshes of geological models to be used in stability analyses of rock and soil masses. The method is implemented by utilizing the Computational Geometry Algorithms Library (CGAL). The input is a geological model consisting of triangulated surfaces, and the output is a high-quality tetrahedral mesh of the geological model. To demonstrate the effectiveness of the presented method, we apply it to generate a series of computational meshes of geological model, and we then analyse the stabilities of the rock and soil slopes on the basis of the generated tetrahedral mesh models. The applications demonstrate the effectiveness and practicability of the present method. A method for generating high-quality tetrahedral meshes of geological models is presented. We evaluate the quality of the tetrahedral mesh of geological model using four metrics. Three applications demonstrate the effectiveness and practicability of the presented method.

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Section: Discussionmentioning

confidence: 99%

Method for generating high-quality tetrahedral meshes of geological models by utilizing CGAL

Wang

Mei

2020

MethodsX

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“…The proposed method is not application-specific and can deal with generic and complex geological models. Starting data are several triangulated surface meshes of geological bodies which are topologically consistent and merged to obtain the target computational mesh model [36]. The method is not limited to meshing of provided geological model; and it is designed to apply clustering algorithm [25,26] to process inputted surface meshes of any 3D geological bodies with quite complex structures and conditions.…”

Section: Applicability Advantage and Shortcomings Of The Proposed Methodsmentioning

confidence: 99%

“…For each geological body, a surface mesh with an interior node-set can be generated and Constrained Delaunay Triangulation algorithm is used for the tetrahedral mesh generation by merging the center of bubbles. MeshCleaner [36] is a program that contributes to merge topologically consistent mesh for each geological bodies to obtain the target computational mesh model.…”

Section: Procedures 5: Obtaining the Final Mesh Model By Mergingmentioning

confidence: 99%

A Clustering-Based Bubble Method for Generating High-Quality Tetrahedral Meshes of Geological Models

Wang

Sun

et al. 2020

Applied Sciences

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High-quality mesh generation is critical in the finite element analysis of displacements and stabilities of geological bodies. In this paper, we propose a clustering-based bubble method for generating high-quality tetrahedral meshes of geological models. The proposed bubble method is conducted based on the spatial distribution of the point set of given surface meshes using the clustering method. First, the inputted geological models consisting of triangulated surface meshes are divided into several parts based on spatial distribution of point set, which can be used for the determination of the positions and radii of initial bubbles. Second, a procedure based on distance of nearby bubbles is used to obtain the initial size of bubbles. Third, by enforcing the forces acting on bubbles, all bubbles inside the 3D domain reach an equilibrium state by the motion control equations. Finally, the center nodes of the bubbles can form a high-quality node distribution in the domain, and then the required tetrahedral mesh is generated. Comparative benchmarks are presented to demonstrate that the proposed method is capable of generating highly well-shaped tetrahedral meshes of geological models.

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“…The paper [4] describes a generic and straightforward algorithm, MeshCleaner, for cleaning large Finite Element meshes. The presented mesh cleaning algorithm is composed of (1) the stage of compacting and reordering nodes and (2) the stage of updating mesh topology.…”

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confidence: 99%

Guest Editorial for Programming Models and Algorithms for Data Analysis in HPC Systems

Cuomo

Aldinucci

Torquati

2017

Int J Parallel Prog

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Performance is still the hottest keyword in parallel and distributed systems: performance evaluation, design for performance, performance portability and scalability are just a few of the many possible declinations that nowadays are of paramount scientific importance. To tackle these challenges, system architects, applications programmers and data center managers need methodological tools to fit at best the overall workload and the available architecture, maximizing the overall performances and minimizing overheads, energy consumption or idle time while application developers mainly aim at algorithmic and software oriented performances. Proper methodologies for modeling and analysis are the way to turn complexity into opportunities.This Special Issue of the International Journal of Parallel Programming welcomes papers that present practical and methodological approaches to analytical and simulative performance evaluation for architecturally complex systems and highperformance parallel and computing algorithm. Successful contributions have been done on specific technologies, applications and innovative solutions to system specifications and algorithmic schemes both.

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MeshCleaner: A Generic and Straightforward Algorithm for Cleaning Finite Element Meshes

Cited by 5 publications

References 27 publications

Method for generating high-quality tetrahedral meshes of geological models by utilizing CGAL

Method for generating high-quality tetrahedral meshes of geological models by utilizing CGAL

A Clustering-Based Bubble Method for Generating High-Quality Tetrahedral Meshes of Geological Models

Guest Editorial for Programming Models and Algorithms for Data Analysis in HPC Systems

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