Zihao Chen

Dr. Zihao Chen

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 October 2024 in Ocean Engineering
Verified
Journal Article
Closed access
ZCZihao Chen
Zihao Chen
JZJiguang Zhang
Jiguang Zhang
BWBaozhu Wang
Baozhu Wang
ZHZhixin Huang
Zhixin Huang
YLYing Li
Ying Li

9 August 2024 in Materials
Verified
Journal Article
Open access
PDF file
ZCZihao Chen
Zihao Chen
ZZZijie Zhu
Zijie Zhu
BLBangzhen Li
Bangzhen Li
KLKehua Leng
Kehua Leng
MYMin Yu
Min Yu
YLYing Li
Ying Li
A dual-phase lattice structure composed of mixed units with hard and soft phase characteristics is proposed in this work. The proposed lattice structure has high specific energy absorption and high compressive strength. The load response and energy absorption characteristics under bending loads were studied through three-point bending tests and numerical analysis methods. The research results indicate that although the deformation modes of the given lattice structure are the same, the dual-phase design strategy significantly improves the bending performance of the lattice structure: the bending modulus is increased by 744.7%, and the specific energy absorption is increased by 243.5%.

4 April 2025 in Aerospace
Verified
Journal Article
Open access
PDF file
XCXiaoqi Chen
Xiaoqi Chen
ZQZhanlong Qu
Zhanlong Qu
YWYuxi Wang
Yuxi Wang
ZCZihao Chen
Zihao Chen
GCGanchao Chen
Ganchao Chen
Ying LiYing Li
Ying Li
Strong shock waves generated during the pyrotechnic separation process of aerospace vehicles can cause high-frequency damage or even structural failure to the vehicle’s structure. Existing structural designs for shock attenuation typically rely on shock response spectra methods, which require multiple finite element calculations to determine the optimal geometric parameters, leading to relatively low efficiency. In this work, we propose a spectral response prediction method for spacecraft structures using the Deep Operator Network (DeepONet). This method preserves the physical relationships between input variables, modularizes geometric and positional input data, and outputs the spectral response. We integrate this neural model to analyze the impact of spacecraft structural parameters on shock resistance performance, revealing that circumferential reinforcement has the most significant influence on shock resistance. Then, we conduct a detailed analysis of the DeepONet model, noting that models with a higher number of neurons per layer train more quickly but are prone to overfitting. Additionally, we find that focusing on specific frequency bands for spectral response prediction yields more accurate results.

Verified
Journal Article
Open access
PDF file
KLKehua Leng
Kehua Leng
ZHZhixin Huang
Zhixin Huang
YJYongbo Jiang
Yongbo Jiang
JLJiajing Lei
Jiajing Lei
ZCZihao Chen
Zihao Chen
YLYing Li
Ying Li
Compression–torsion lattice structures (CTLS) exhibit coupled compressive–torsional deformation, yet their response under underwater shock loading remains to be further investigated. In this study, sandwich structures with CTLS cores were investigated through a combination of shock tube experiments, digital image correlation (DIC), and nonlinear finite element analysis. The underwater shock response and protective performance were evaluated based on rear-plate kinetic energy, central deflection, and plastic deformation. The results indicate that, at the same relative density, CTLS sandwich structures reduce the rear-plate kinetic energy by more than 42% and the peak deflection by 12.4%, compared with sandwich structures employing traditional straight lattice structures (TSLS). Under identical compressive stiffness, CTLS provide superior protective performance to TSLS, and this advantage becomes more pronounced with increasing ligament diameter. Furthermore, CTLS sandwich structures extend the tunable range of the core energy absorption ratio from 33–35% to 24–38%, reflecting enhanced flexibility in energy distribution within the structure.