Siqi Wang

Siqi Wang

Fudan University

Welcome to my academic homepage. My name is Siqi Wang, and I am a self-motivated researcher currently pursuing a Ph.D. at the College of Intelligent Robotics and Advanced Manufacturing (CIRAM), Fudan University (2025–present), under the supervision of Prof. Timon Rabczuk. My research focuses on the application of artificial intelligence (AI) to solid mechanics. I obtained my B.Eng. in Engineering Mechanics from Hunan University (2018–2022) and my M.Eng. in Aerospace Science and Technology from Xiamen University (2022–2025), where my work centered on impact dynamics and mechanical metamaterials for aerospace applications, supervised by Prof. Baoqiang Zhang and Prof. Huageng Luo at the Centre for Advanced Machine Design and Data Analytics (CAMDDA). In addition, I served as an Assistant Researcher at the Aero Engine Academy of China from 2023 to 2024 and was a Visiting Student at The University of Hong Kong in 2026.

I specialize in solid mechanics and have extensive experience in numerical simulation and vibration testing. My current research focuses on the intersection of AI and solid mechanics. I am always open to academic discussions and potential research collaborations. If you are interested in my research or would like to explore possible collaborations, please feel free to contact me via email (sqwang25@m.fudan.edu.cn) or WeChat (ws11009922).

🔥 News

📝 Publications

Aerospace Science and Technology
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Bird Strike Resistance Analysis for Engine Fan Blade Filled with Triply Periodic Minimal Surface

Siqi Wang, Chuangyu Jiang, Cunfu Wang, Baoqiang Zhang, Huageng Luo, Wujun Feng

  • We propose using TPMS structures as lightweight fillers in wide-chord hollow fan blades to enhance bird strike resistance. A multi-level framework—spanning material, element, and component levels—demonstrates the feasibility and effectiveness of this approach, highlighting its strong potential in aero-engine applications.
Mechanics Based Design of Structures and Machines
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An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian

Siqi Wang, Chuangyu Jiang, Yilong Zhang, Xiaodong Zhang, Baoqiang Zhang, Huageng Luo

  • We propose a two-parameter voxel modeling method for TPMS structures, jointly controlling element size and minimum Jacobian. This approach improves mesh convergence, accuracy, and efficiency compared to traditional methods, and demonstrates strong applicability in graded TPMS analysis.
Aerospace
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Multiple-Bird-Strike Probability Model and Dynamic Response of Engine Fan Blades

Siqi Wang, Jinhui Li, Haidong Lin, Zhenhong Deng, Baoqiang Zhang, Huageng Luo

  • We investigate the effects of multiple bird strikes on engine fan blades by introducing a probabilistic impact model and using an implicit–explicit simulation method.
Reliability Engineering & System Safety
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High-Cycle Fatigue Life Prediction for Fan Blades Considering Aleatory and Epistemic Uncertainty with Random Damage

Xiaodong Zhang, Dengyu Wu, Zhenhong Deng, Siqi Wang, Wujun Feng, Huageng Luo, Baoqiang Zhang

  • We propose a fatigue life prediction method for Boundary Layer Ingestion (BLI) fan blades under aleatory and epistemic uncertainties with random damage, combining Sparse Polynomial Chaos Expansion–Monte Carlo Simulation (SPCE–MCS), Finite Element Analysis (FEA), and Expectation-Maximization Gaussian Mixture Distribution (EM–GMD).
Journal of Mechanical Design
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A Scalable Topology Optimization Framework with Neural-Implicit Representation and Adjoint-Driven Gradients

Yilong Zhang, Chenxu Wang, Siqi Wang, Cunfu Wang, Gengkai Hu

  • We propose NIAD-TO, a scalable topology optimization framework that couples neural-implicit density representations with discrete adjoint-driven gradients by integrating PyTorch and FEniCS/dolfin-adjoint in an end-to-end manner, enabling resolution-independent modeling and efficient sensitivity evaluation across multimaterial, multiscale, multiphysics, and nonlinear scenarios with improved accuracy and efficiency.
Structural and Multidisciplinary Optimization
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[Interface-Aware Topology Optimization for Multi-Material Structures via Density Penalization]

Yilong Zhang, Gengkai Hu, Chenxu Wang, Siqi Wang, Cunfu Wang

  • We propose an interface-aware topology optimization framework based on density penalization, which explicitly models multi-material interfaces and controls their thickness, significantly enhancing the reliability and applicability of optimized structures.
Mathematics
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Improved Bayesian Model Updating Method for Frequency Response Function with Metrics Utilizing NHBFT-PCA

Jinhui Li, Zhenhong Deng, Yong Tang, Siqi Wang, Zhe Yang, Huageng Luo, Wujun Feng, Baoqiang Zhang

  • We develop an improved Bayesian model updating method for stochastic dynamic models using frequency response functions (FRFs). By introducing a novel NHBFT-PCA-based validation metric, our approach enhances both traditional and approximate Bayesian methods. Numerical and experimental results show improved accuracy and efficiency over conventional techniques.
Journal of Mechanical Strength
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Research on Super-Element Condensation Method of Aero-Engine Magazine Structure Considering Connections for Dynamics Modeling

Zhe Yang, Baoqiang Zhang, Zhenhuan Tang, Yong Tang, Wujun Feng, Haidong Lin, Siqi Wang, Jinhui Li

  • We propose a superelement-based reduction method to efficiently analyze the dynamic behavior of aero-engine casings with complex connections. The reduced model significantly improves computational efficiency while maintaining high accuracy, as validated by simulation and experiments.

📝 Under Review

Under Review
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GA-VINO: A Geometry-Aware Variational Physics-informed Neural Operator for Mindlin-Reissner Plates

Siqi Wang, Daobo Sun, Yizheng Wang, Yilong Zhang, Yabin Jin, Xiaoying Zhuang, Timon Rabczuk

  • We propose MR-GVNO, a geometry-aware physics-informed neural operator that enables label-free and efficient response prediction for Mindlin–Reissner plates with irregular geometries, heterogeneous materials, and varying loads.

📝 Reviewer

  • Journal: Thin-Walled Structures
  • Conference: Pacific Graphics 2026

🎖 Honors and Awards

  • Jun. 2025, The Best Paper Award in CAMDDA
  • Apr. 2025, Wenzhong Cai 1st Scholarship (Rank 1)

📖 Educations

  • Sep. 2025 – present, Ph.D in the College of Intelligent Robotics and Advanced Manufacturing (CIRAM), Fudan University (FDU), Shanghai, China
  • Sep. 2022 – Jun. 2025, Master’s Degree in Aerospace Science and Technology, School of Aerospace Engineering, Xiamen University (XMU), Xiamen, China
  • Sep. 2018 – Jun. 2022, Bachelor’s Degree in Mechanical Engineering, College of Mechanical and Vehicle Engineering, Hunan University (HNU), Changsha, China

💬 Conference

  • Nov. 2024, The 2nd National Symposium on Reliability Engineering and Science of Complex Equipment & the 11th National Workshop on Model Verification and Validation, Mianyang, China: only participate
  • Apr. 2023, The 2023 Joint Academic Annual Conference of the Mechanics Societies of Fujian and Jiangxi Provinces, Putian, China: “Equivalent modeling and impact resistance testing of IWP-filled structures” Oral Presentation
  • Apr. 2023, The 15th National Symposium on Structural Vibration and Dynamics & the 3rd National Workshop on Impact and Protective Engineering, Xiamen, China: only participate
  • Nov. 2022, The 18th China CAE Annual Conference (CCAC 2022), Xiamen, China: only participate