Finite difference, boundary-fitted grid generation for arbitrarily shaped two-dimensional simulation areas

Fischer, C.; Nanz, G.; Selberherr, S.

doi:10.1016/0045-7825(93)90016-q

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…However, an occupant does not have a corresponding dynamic IFC object, so a method was developed to trigger the occupant once they moves into the space. The space is first (discretized) into two-dimensional structured cells using a spatial-discretization algorithm [7]. Spatial discretization divides the space shape into finite elements in the form of graph objects.…”

Section: Framework Implementationmentioning

confidence: 99%

Build2Vec: Building Representation in Vector Space

Abdelrahman,

Chong,

Miller

2020

Preprint

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In this paper, we represent a methodology of a graph embeddings algorithm that is used to transform labeled property graphs obtained from a Building Information Model (BIM). Industrial Foundation Classes (IFC) is a standard schema for BIM, which is utilized to convert the building data into a graph representation. We used node2Vec with biased random walks to extract semantic similarities between different building components and represent them in a multi-dimensional vector space. A case study implementation is conducted on a net-zero-energy building located at the National University of Singapore (SDE4). This approach shows promising machine learning applications in capturing the semantic relations and similarities of different building objects, more specifically, spatial and spatio-temporal data.

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Section: Framework Implementationmentioning

confidence: 99%

Build2Vec: Building Representation in Vector Space

Abdelrahman,

Chong,

Miller

2020

Preprint

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“…Grid making is the precondition and the greatest labor-consuming and time-costing work of numerical simulation. It is common that over 60% of the time and manpower are consumed by grid generation in a simulation [6,7]. The quality of grids tremendously affects the accuracy and efficiency of simulations.…”

Section: Introductionmentioning

confidence: 99%

A Mesh Reduced Method for Speeding Up Structured Grid-Based Water Quantity and Quality Models in Large-Scale River Networks

Kang

Wang

et al. 2019

Water

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High-precision and efficiently distributed discrete element models for water environment simulation are urgently needed in large-scale river network areas, but most distributed discrete element models are serially computed and need performance improving. Parallel computing and other common methods for models’ high performance have large labor costs and are complicated. We put forward a new mesh reduced method for promoting computational efficiency with grid re-organization according to the structure and algorithm characteristics of 2D and 3D numerical models. This simple and cheap method was adapted to a classical three-dimensional hydrodynamic and sediment model (ECOMSED) for model improvement and effective evaluation. Six schemes with different grids were made to investigate the performance of this method in the river network area of the Three Gorges Reservoir Basin. It showed good characteristics of simulation performance and model speed-up. We concluded that the method is viable and efficient for optimizing distributed discrete element models.

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Finite difference, boundary-fitted grid generation for arbitrarily shaped two-dimensional simulation areas

Cited by 2 publications

References 2 publications

Build2Vec: Building Representation in Vector Space

Build2Vec: Building Representation in Vector Space

A Mesh Reduced Method for Speeding Up Structured Grid-Based Water Quantity and Quality Models in Large-Scale River Networks

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