Research on the Cloud-Based Scalable Geometric Kernel

As a fundamental technological component at the foundational layer of industrial software, the geometric kernel assumes a pivotal role in industrial product manufacturing, architectural design, simulation, and various other domains. In response to the trends of intelligence, connectivity, and specialization within geometric kernels, this paper introduces a Cloud-based Scalable Geometric Kernel (CSGK). Drawing upon the analysis of the open-source geometric kernel OpenCASCADE, the primary functional modules, application paradigms, and customizable extension methodologies for data structures and modeling algorithms within the CSGK were examined. Utilizing the creation of geometric models within the railway tunnel engineering industry as an experimental context, and via delving into the algorithm for adjusting moving frames, the Sweep surface modeling approach was enhanced, thereby validating the scalability of the CSGK. The functionality of the CSGK was further substantiated through the development of an application module designed to generate generalized tunnel models for railways.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iciba62489.2024.10868369
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the Cloud-Based Scalable Geometric Kernel

Xue‐Jiao Chen, Rui-Chang Shi, Xinyu Li, Fei Meng et al.
Simulation and Modeling Applications
article

Research on the Cloud-Based Scalable Geometric Kernel

Xue‐Jiao Chen, Rui-Chang Shi, Xinyu Li, Fei Meng, Lin Qin, Ze Guo
article en

Abstract

As a fundamental technological component at the foundational layer of industrial software, the geometric kernel assumes a pivotal role in industrial product manufacturing, architectural design, simulation, and various other domains. In response to the trends of intelligence, connectivity, and specialization within geometric kernels, this paper introduces a Cloud-based Scalable Geometric Kernel (CSGK). Drawing upon the analysis of the open-source geometric kernel OpenCASCADE, the primary functional modules, application paradigms, and customizable extension methodologies for data structures and modeling algorithms within the CSGK were examined. Utilizing the creation of geometric models within the railway tunnel engineering industry as an experimental context, and via delving into the algorithm for adjusting moving frames, the Sweep surface modeling approach was enhanced, thereby validating the scalability of the CSGK. The functionality of the CSGK was further substantiated through the development of an application module designed to generate generalized tunnel models for railways.

China Academy of Railway Sciences (CN)
China Academy of Railway Sciences
Openalex Percentile: Top 67%
Simulation and Modeling Applications
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Research on the Cloud-Based Scalable Geometric Kernel — Xue‐Jiao Chen, Rui-Chang Shi, et al. · (2024) | TGRS Research Map | TGRS