Zhanjun Shao

Central South University

H指数:13

被引数:571

个人简介

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教育背景

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A graph attention network framework utilizing Kolmogorov-Arnold networks for dynamic analysis of complex structures in unseen scenarios

利用科莫戈罗夫-阿诺德网络对未见场景中复杂结构进行动态分析的图注意力网络框架

Mechanical Systems and Signal Processing

IF8.9

2026-07-150

PRE

A novel stochastic analysis framework for train-track-bridge coupling system under seismic excitation

地震激励下列车-轨道-桥梁耦合系统的新型随机分析框架

Advances in Engineering Software

IF5.7

2026-04-270

PRE

A stochastic dynamic analysis method for plate structures based on meshless method and new point estimate method: A case study of high-speed railway box girder bridges

基于无网格法和新型点估计法的板结构随机动力学分析方法：高速铁路箱梁桥案例研究

Engineering Analysis with Boundary Elements

IF4.1

2025-12-270

PRE

Adaptable graph region for optimizing performance in dynamic system long-term forecasting via time-aware expert

基于时间感知专家的自适应图区域，用于优化动态系统长期预测的性能

Nature Communications

IF15.7

2025-11-200

A modified non-partial derivative perturbation meshfree approach with second-order statistical moments for vibration of cylindrical composite plate with random fields using KL expansion

采用KL展开的随机场圆柱复合材料板振动问题的一种改进非偏导扰动无网格方法，结合二阶统计矩

Mechanics Based Design of Structures and Machines

IF2.9

2025-09-080

PRE

An intelligent GNN seismic response prediction and computation framework adhering to meshless principles: A case study for high-speed railway bridges

一种遵循无网格原理的智能GNN地震响应预测与计算框架：高速铁路桥梁的案例研究

Engineering Analysis with Boundary Elements

IF4.1

2025-07-040

PRE

A new three-dimensional model of train-track-bridge coupled system based on meshless method and its graph neural network-based surrogate model

基于无网格法的一种新型列车-轨道-桥梁耦合系统三维模型及其基于图神经网络的代理模型

COMPUTERS & STRUCTURES

IF4.8

2025-06-100

PRE

A Chebyshev interval computational framework for propagating parameter uncertainty in train-track-bridge systems

ADVANCES IN ENGINEERING SOFTWARE

IF5.7

2025-06-010

PRE

Stochastic analysis of FG-CNTRC conical shell panels based on a perturbation stochastic meshless method without partial derivative

ADVANCES IN ENGINEERING SOFTWARE

IF5.7

2025-03-010

PRE

Stochastic static analysis of functionally graded sandwich nanoplates based on a novel stochastic meshfree computational framework

ADVANCES IN ENGINEERING SOFTWARE

IF5.7

2024-12-013

PRE

Meshfree method for bending and free vibration analysis of laminated plates using the Reissner's mixed variational theorem

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

IF0

2024-11-061

PRE

A novel graph neural network framework with self-evolutionary mechanism: Application to train-bridge coupled systems

具有自进化机制的新型图神经网络框架: 在火车-桥梁耦合系统中的应用

ADVANCES IN ENGINEERING SOFTWARE

IF5.7

2024-11-016

PRE

Enhanced multi-scenario running safety assessment of railway bridges based on graph neural networks with self-evolutionary capability

ENGINEERING STRUCTURES

IF6.4

2024-11-0111

PRE

A size-dependent meshfree model based on nonlocal strain gradient theory for trigonometric functionally graded nanoplates on variable elastic foundations

STRUCTURES

IF4.3

2024-11-014

PRE

The impact of dissipative algorithms on assessment of high-speed train running safety on railway bridges

ENGINEERING STRUCTURES

IF6.4

2024-09-0111

PRE

Statistical running safety analysis of high-speed trains on beam bridges after long-term service

STRUCTURES

IF4.3

2024-09-013

PRE

A meshless computational framework for a modified dynamic system of vehicle coupled with plate structure

ENGINEERING STRUCTURES

IF6.4

2024-08-0110

PRE

Adaptive GN block-based model for seismic response prediction of train-bridge coupled systems

基于自适应GN块的列车-桥梁耦合系统地震响应预测模型

STRUCTURES

IF4.3

2024-08-019

PRE

A novel train-bridge interaction computational framework based on a meshless box girder model

ADVANCES IN ENGINEERING SOFTWARE

IF5.7

2024-06-0120

PRE

Safety analysis of high-speed trains on bridges under earthquakes using a LSTM-RNN-based surrogate model

基于lstm-rnn代理模型的桥梁高速列车地震安全性分析

COMPUTERS & STRUCTURES

IF4.8

2024-04-0135

PRE

Zhanjun Shao

个人简介

教育背景

工作经历

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