Structural Mechanics

Momentum

8 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 44

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  1. AFT Neural Function Approximators for 1D Nonlinear Force Laws

    Sep 24, 2026Miriam Goldack, Johann Groß, Malte Krack +1Neural Surrogate ModelingDynamical Systems

  2. Growth-Inspired Graph Generation and Inverse Design of Mechanical Lattices via Dot Matrices Database Augmentation and GCNN

    Sep 24, 2026Weiyun Xu, Jiamu LiuGraph GenerationStructural Mechanics

  3. Cosserat Modeling of Trimmed Helicoid Soft Arms with a Separated-Section Constitutive Law

    Sep 21, 2026Zhihang Qin, Linxin Hou, Zeyu Zhong +9Structural MechanicsContinuum Robot Control

  4. GenVoid: Uncertainty-Aware Learning of Subsurface Material Defects with an Experimentally Validated Physics-Informed Generative Model

    Sep 20, 2026Trishit Mondal, Prajwal Bharadwaj, Nikhil Karanjgaokar +1Physics-Informed Generative ModelingStructural Mechanics

  5. HGTO: A Unified Graph-Based Physics-Informed Formulation for Structural Topology Optimization

    Sep 14, 2026Kangzheng Liu, Uday Kumar Punna, Leixin MaTopology OptimizationStructural Mechanics

  6. Zero-shot rib design: merging training-free generative prior with topology optimization

    Sep 11, 2026Yongmin Kwon, Namwoo KangTopology OptimizationStructural Mechanics

  7. A variational physics-informed graph neural network for heterogeneous solid mechanics

    Sep 10, 2026Aashay Rajan Yadav, Amiya Prakash Das, Ratna Kumar AnnabattulaNeural PDE SolversStructural Mechanics

  8. Field-level prediction of mid-plane stress tensor fields in concrete target penetration: a cross-velocity graph neural operator surrogate

    Sep 9, 2026Wenpu Du, Peng Zhou, Yunlong Xia +5Neural Surrogate ModelingBenchmark Construction

  9. On the Importance of Geometric Nonlinearity and Temperature-Dependent Properties in Multi-Material Thermo-Mechanical Topology Optimization

    Aug 11, 2026Shirin Hosseinmardi, Xiangyu Sun, Ramin BostanabadTopology OptimizationMechanism Design

  10. BendTwin: Robust Dense-to-Sparse Physical Reconstruction with Bending-Aware Differentiable Spring-Mass Models

    Aug 6, 2026Yixiong Jing, Qi Wang, Lin Chen +6Structural MechanicsSparse-View 3D Reconstruction

  11. Explicit and Stable Pseudospectral Time-Domain Method for the Föppl-von Kármán Equations

    Aug 6, 2026Victor Zheleznov, Stefan BilbaoPDE SolvingStructural Mechanics

  12. Discrete energy as an exact label-free training objective for finite-element surrogates

    Aug 5, 2026Ruifeng Cao, Xidan SongSurrogate ModelingStructural Mechanics

  13. SpectONet: A Physics-Guided Spectral Deep Operator Network for Euler-Bernoulli Beam Dynamics

    Jul 28, 2026Shivani Saini, Ramesh Kumar Vats, Arup Kumar SahooStructural MechanicsPDE Operator Learning

  14. Harnessing disorder to decouple extension and shear in kirigami metamaterials

    Jul 18, 2026Haomin Yu, Hanxun Jin, Mingxuan Bi +5Structural MechanicsMaterials Property Prediction

  15. Probabilistic Physics-Informed Neural Networks for Estimating Heterogeneous Elastic Properties from Low-Resolution and Noisy Displacement Data

    Jul 16, 2026Tatthapong Srikitrungruang, Jaesung LeeStructural MechanicsMaterials Property Prediction

  16. Microstructure-Conditioned Surrogate Models for Graded Multiscale Optimization of Mycelium Composites

    Jul 15, 2026J. Storm, I. B. C. M. Rocha, S. Schyck +2Neural Surrogate ModelingSurrogate Modeling

  17. Energy-Based Physics-Informed Form Finding for Clustered Tensegrity Structures

    Jul 14, 2026Jing Qin, Muhao ChenStructural MechanicsEnergy-Based Models

  18. When is the combined load identifiable from a stress-intensity profile? A coupled forward-inverse study on SIFBench finite-element data

    Jul 12, 2026Giansalvo Cirrincione, Filippo GrassiaParameter IdentifiabilityUncertainty Quantification

  19. Learning Physics-Informed Surrogate Model of Linear Elastic Displacement Fields from Geometry

    Jul 10, 2026Rodolphe Barlogis, Ferhat Tamssaouet, Quentin Falcoz +1Structural MechanicsPDE Surrogate Modeling

  20. A Physics-Informed Neural Network Framework for Elastodynamic Wave Propagation in Bimaterial Systems

    Jul 7, 2026Sonal Ankush Chibire, Jenn-Terng Gau, Bo ZhangStructural MechanicsPDE Surrogate Modeling

  21. CertMix: Certified, Data-Efficient Metamaterial Design by Affine Mixing of Aligned Neural-Implicit Weight Spaces

    Jul 5, 2026Yifan WangStructural MechanicsInverse Design

  22. Interface-Aware Neural Newton Preconditioning for Robust Cohesive Zone Model Simulations

    Jun 30, 2026Zhangyong Liang, Huanhuan GaoStructural MechanicsFinite Element Method

  23. On Surrogate Modeling of Static Response of AM Short-Fiber Thermoplastics Using Graph Neural Networks

    Jun 27, 2026Pharindra Pathak, Vipin Kumar, Trenton M. Ricks +2Neural Surrogate ModelingStructural Mechanics

  24. A Reduced Order Model for Emergent Mechanics in Woven Systems

    Jun 22, 2026Anvay A. Pradhan, Evgueni T. Filipov, Talia Y. MooreStructural MechanicsMaterials Science

  25. One-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields

    Jun 22, 2026Yijing Zhou, Jasmin JelovicaFlow MatchingStructural Mechanics

  26. Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels

    Jun 18, 2026Yuecheng Cai, Jasmin JelovicaNeural Surrogate ModelingGraph Neural Networks

  27. A Hybrid GNN-FEM Framework for Phase-Field Fracture Simulation. Physics-Preserving Hybridization for Generalizable Surrogate Modeling

    Jun 12, 2026Hyeonbin Moon, Yongjin Choi, Seunghwa RyuStructural MechanicsPDE Surrogate Modeling

  28. Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

    Jun 9, 2026Manuel Ricardo Guevara Garban, Yves Chemisky, Étienne Prulière +3Neural Surrogate ModelingStructural Mechanics

  29. Mesh Graph Neural Network Framework for Accelerating Finite Element Simulation for Arbitrary Geometries

    Jun 6, 2026Josiah D. Kunz, Kamal ChoudharyNeural Surrogate ModelingGraph Neural Networks