hehaonan
|
- Associate Professor
- Supervisor of Master's Candidates
- Name (English):Haonan He
- Name (Pinyin):hehaonan
- School/Department:Harbin Engineering University
- Administrative Position:Associate Professor
- Degree:Doctoral Degree in Philosophy
- Professional Title:Associate Professor
- Status:Employed
- Alma Mater:University of Bristol
- Teacher College:College of Aerospace Engineering
- Discipline:General and Fundamental Mechanics
Contact Information
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- Paper Publications
- Three-terminal configuration optimisation for enhancing hydraulic shock absorber performance with graph theory,Structural Control and Health Monitoring,
- 基于模型缩聚的波纹板结构动力学分析和优化方法,动力学与控制学报,23(11):53-62
- Dynamic analysis and design of axially functionally graded lattice sandwich structures based on dynamic substructuring method,THIN-WALLED STRUCTURES,219()
- An Improved Strain Energy-Based Optimality Criteria Method for Weight-Optimal Sizing of Hyperstatic Structures Under Frequency, Buckling, or Displacement Constraints,INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS,()
- An optimization-driven design framework for inertance-integrated hydraulic shock absorbers: incorporating nonlinear and parasitic effects,ENGINEERING WITH COMPUTERS,()
- Haonan He.Zixiao Wang,Yiyuan Li. Zhiguang Song. An optimization-driven design framework for inertance-integrated hydraulic shock absorbers: incorporating nonlinear and parasitic effects,Engineering with Computers,2025,
- A configuration-optimisation method for passive-active-combined suspension design,International Journal of Mechanical Sciences,2023,258:108560
- Using an inerter to enhance an active-passive-combined vehicle suspension system,International Journal of Mechanical Sciences,2021,204:106535
- Nonlinear aeroelastic analysis of the folding fin with freeplay under thermal environment,Chinese Journal of Aeronautics,2020,33(9):2357-2371
- A Graph-Based Methodology for Optimal Design of Inerter-Based Passive Vibration Absorbers With Minimum Complexity,Structural Control and Health Monitoring,2024,2024:8871616