Cheng Qiu

发表

Buckling of honeycomb structures under out-of-plane loads

Cheng Qiu, Zhidong Guan, Xu Guo, 2020 .

A failure criterion for honeycomb structures considering the onset of instability under out-of-plane loads

H. Nie, Cheng Qiu, Zengshan Li, 2020, Journal of Sandwich Structures & Materials.

Influence of UHMWPE fiber and Ti6Al4V metal surface treatments on the low-velocity impact behavior of thermoplastic fiber metal laminates

Jinglei Yang, Lei Yang, Cheng Qiu, 2020, Advanced Composites and Hybrid Materials.

A method of determining effective elastic properties of honeycomb cores based on equal strain energy

Cheng Qiu, Zhidong Guan, Zengshan Li, 2017 .

Machine learning-based prediction of the translaminar R-curve of composites from simple tensile test of pre-cracked samples

Cheng Qiu, Zhidong Guan, Zhong Zhang, 2021, Journal of Micromechanics and Molecular Physics.

Study on Prediction of Compression Performance of Composite Laminates After Impact Based on Convolutional Neural Networks

Xiaodong Wang, Cheng Qiu, Zhidong Guan, 2021, Applied Composite Materials.

An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks pdf

Shanyi Du, Fengyang Jiang, Zhidong Guan, 2021, ArXiv.

An even-load-distribution design for composite bolted joints using a novel circuit model and neural network

S. Du, Cheng Qiu, Zhidong Guan, 2021, Composite Structures.

An improved characteristic length method for predicting the single bolt joint bearing strength considering secondary bending effect

S. Du, Cheng Qiu, Zhidong Guan, 2020, Mechanics of Advanced Materials and Structures.

An improved model for predicting stiffness of single-lap composites bolted joints using Matlab/Simulink

S. Du, Cheng Qiu, Zhidong Guan, 2019, Mechanics of Advanced Materials and Structures.

Prediction of the net-tension strength of single bolt joint using the 0° ply strength and fracture toughness

S. Du, Cheng Qiu, Zhidong Guan, 2019, Composites Part B: Engineering.

A deep learning approach for efficient topology optimization based on the element removal strategy

S. Du, Cheng Qiu, Jinglei Yang, 2021, Materials & Design.

A deep learning-based composite design strategy for efficient selection of material and layup sequences from a given database

Cheng Qiu, L. Shanmugam, Shaotong Dong, 2021, Composites Science and Technology.