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Civil-Comp Conferences
ISSN 2753-3239 CCC: 12
PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GPU AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi, J. Kruis and B.H.V. Topping
Paper 2.1
Hyfeast: A Parallel Finite Element Framework for Advanced Civil Engineering Applications J.-R. Cho1, K. Cho1, J.H. Lee2 and D.S. Rhee3
1Department of Structural Engineering Research, Korea Institute of Civil Engineerng and Building Technology, Goyang, Republic of Korea
Full Bibliographic Reference for this paper
J.-R. Cho, K. Cho, J.H. Lee, D.S. Rhee, "Hyfeast: A Parallel Finite Element Framework for Advanced Civil Engineering Applications", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighth International Conference on
Parallel, Distributed, GPU and Cloud Computing for Engineering", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 12, Paper 2.1, 2025,
Keywords: high-performance computing, finite element framework, structural simulation, object-oriented design, visualization, digital twin.
Abstract
This paper presents Hyfeast, a high-performance finite element framework developed at the Korea Institute of Civil Engineering and Building Technology (KICT) to address the growing demands of advanced structural analysis in civil engineering. Hyfeast is built upon an object-oriented C++ class library (HFC) and consists of four standalone applications for structural analysis, visualization, and sectional evaluation. The framework supports a wide range of linear/nonlinear and static/dynamic simulations. In particular, it offers advanced capabilities for fluid–structure–soil interaction and digital twin–based analysis. By integrating OpenMP-based parallelism and high-performance numerical libraries such as Intel MKL and ARPACK, Hyfeast achieves superior computational performance. Validated through real-world applications including high-speed rail bridges and wastewater treatment facilities, Hyfeast proves to be a robust and extensible tool for structural engineers seeking scalable, customizable, and efficient simulation capabilities.
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