Shaodi Dong
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Chongqing Industry Polytechnic University
Shaodi Dong works in Railway Engineering and Dynamics, Transportation Systems and Safety, Transportation Safety and Impact Analysis, Dynamics and Control of Mechanical Systems, Microstructure and mechanical properties. Recorded institutional associations include East China Jiaotong University, Zhejiang Industry Polytechnic College, Chongqing Industry Polytechnic University.
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions
2023 · 22 citationsMulti-objective reliability design optimization of electric multiple unit pantograph geometric parameters
2016 · 6 citationsNonlinear Spring-Mass-Damper Modeling and Parameter Estimation of Train Frontal Crash Using CLGAN Model
2020 · 6 citationsAchieving strength-ductility synergy in nanotwinned steels prepared by cryogenic deformation
2022 · 6 citationsA Few-Shot Learning-Based Crashworthiness Analysis and Optimization for Multi-Cell Structure of High-Speed Train
2022 · 6 citationsStochastic dynamic simulation of railway vehicles collision using data-driven modelling approach
2022 · 5 citationsApplication of Digital Twin to Curve Negotiation Performance Prediction of Train
2022 · 5 citationsTowards Digital Twins: a Novel Model-Data Fusion Method for Simulating a Train Passing Through Curved Tracks
2025 · 2 citationsRobust Optimization for Multiple Response Using Stochastic Model
2020 · 1 citationsResearch on Subway Collision Animation Based on ANSYS Data
2020 · 1 citationsData-driven simulation of train frontal collision using nonlinear lumped parameter model
2025 · 0 citationsStrength-ductility synergy in nanotwinned Si-containing CrCoNi-based medium-entropy alloys by thermomechanical treatments
2026 · 0 citationsA digital twin-driven machine learning framework for real-time prediction of railway vehicle curve negotiation dynamics
2026 · 0 citations
