Innovative Research Award
Yanpeng Shang
University of Shanghai for Science and Technology
| Yanpeng Shang |
| Affiliation |
University of Shanghai for Science and Technology |
| Country |
China |
| Scopus ID |
57364712600 |
| Documents |
4 |
| Citations |
52 |
| h-index |
1 |
| Subject Area |
Computational Mechanics |
| Event |
Technology Scientists Awards |
The Innovative Research Award recognizes scholarly contributions that advance scientific knowledge through original research, methodological innovation, and academic excellence. Yanpeng Shang, affiliated with the University of Shanghai for Science and Technology, has contributed to Computational Mechanics through studies involving hybrid discretization, NURBS-based modeling, and computational analysis. His published work reflects an emphasis on numerical methods for engineering applications and demonstrates continued engagement with contemporary computational research.[1]
Abstract
Yanpeng Shang is a researcher in Computational Mechanics whose work emphasizes advanced numerical analysis, hybrid discretization techniques, and NURBS-based computational modeling for engineering applications. His publications investigate accurate boundary fitting, interpolation strategies, and coupling methods between computational elements to improve simulation precision and efficiency. Through peer-reviewed research indexed in Scopus, he has contributed to methodological developments that support reliable structural and mechanical analysis. His scholarly output demonstrates sustained engagement with computational engineering challenges and reflects the qualities recognized by the Innovative Research Award for scientific originality and technical advancement.[1][2]
Keywords
Computational Mechanics, Hybrid Discretization, NURBS, Numerical Simulation, Finite Element Analysis, Engineering Mechanics, Boundary Fitting, Computational Modeling, Structural Analysis, Scientific Computing.
Introduction
Yanpeng Shang conducts research in Computational Mechanics with emphasis on advanced numerical methods for engineering analysis. His studies explore hybrid discretization, NURBS-based geometric representation, and computational modeling approaches that improve simulation accuracy, computational efficiency, and practical engineering applications across complex structural and mechanical systems.[1]
Research Profile
Affiliated with the University of Shanghai for Science and Technology, Yanpeng Shang has developed a research profile centered on computational engineering methodologies. His Scopus-indexed publications demonstrate contributions to numerical simulation, finite element integration, and advanced computational techniques supporting modern engineering design and scientific investigation.[1]
Research Contributions
His research introduces computational strategies for merging NURBS representations with traditional finite element formulations, enabling improved geometric continuity and numerical precision. These methodological developments contribute to solving engineering problems involving complex boundaries while supporting efficient hybrid discretization frameworks for mechanical computation.[1][2]
Publications
His recent publications focus on least-squares boundary fitting, local interpolation techniques, and hybrid discrete analysis involving different curve connections between NURBS and Lagrange elements. These peer-reviewed studies provide valuable theoretical and computational insights for engineering mechanics and numerical modeling communities.[1][2]
Research Impact
The published research has contributed to improving computational accuracy and numerical efficiency within hybrid discretization methods. With Scopus-indexed publications and scholarly citations, the work supports continued advances in computational mechanics while providing methodological references for researchers developing sophisticated engineering simulation technologies.[1]
Award Suitability
Yanpeng Shang’s research demonstrates originality through the development of advanced computational methodologies and engineering simulation techniques. His emphasis on numerical innovation, peer-reviewed publication, and practical scientific applications aligns with the objectives of the Technology Scientists Awards and the Innovative Research Award recognition.[1]
Conclusion
Yanpeng Shang has established a developing academic profile through research in Computational Mechanics, emphasizing hybrid numerical methods and computational modeling. His contributions enhance engineering analysis and demonstrate commitment to scientific advancement, making his scholarly achievements appropriate for recognition through the Innovative Research Award.[1]
External Links
References
- Shang, Y., et al. (2026). A NURBS-based least-squares and local interpolation merging technique for complex-model boundary fitting in hybrid discretization. Computers & Structures, Elsevier.
https://www.sciencedirect.com/science/article/abs/pii/S0045794926001069
- Shang, Y., et al. (2026). Mechanism study of hybrid discrete analysis with different curve connections between NURBS and Lagrange subdomain elements. Computational Mechanics. Springer.
https://link.springer.com/article/10.1007/s00466-026-02780-z
- Elsevier. (n.d.). Scopus author details: Yanpeng Shang, Author ID 57364712600. Scopus.
https://www.scopus.com/pages/authors/57364712600
