Overview

Structural mechanics studies how solids, beams, shells, lattices, and other structures deform, carry loads, vibrate, buckle, and fail, linking material behavior and geometry to safety and design. Work combines finite-element and variational methods with experiments, while reduced-order models, physics-informed networks, graph neural networks, and neural operators aim to predict stress fields and dynamic responses at lower cost. These approaches address nonlinear elasticity, composites, fracture and contact, crash behavior, architected materials, and inverse tasks such as identifying loads or defects; topology and reliability-based optimization use them to find designs under constraints and uncertainty. A central challenge is preserving physical consistency while generalizing to new geometries, meshes, materials, and loading histories, and validating predictions against high-fidelity simulations and experiments.

Latest papers

CardsList

71 papers5 papers in the last four weeks, down 37% on the four weeks before. 0.0% of all new papers.

  1. Towards a GraphNARX model for structural dynamics

    Oct 16, 2026George Tsialiamanis, Keith WordenNonlinear System IdentificationTime Series Modeling

  2. Deep Learning-based Mechanical Characterization of Synthetically Generated Plant Fibers under Transverse Compression

    Oct 12, 2026Nikolaos Kegkeroglou, Bilal Sabillah, Myrto Inglezou +3Materials Property PredictionStructural Mechanics

  3. A Hybrid Gaussian Process-Extreme Gradient Boosting Machine Learning Framework for Robust Knockdown Factor Prediction and Reliability-Based Design of Thin Spherical Shell Caps

    Oct 11, 2026Budhaditya De, Rohan Majumder, Devasmit Dutta +2Structural Mechanics

  4. A mesh-based neural energy method for the simulation of heterogeneous composites

    Oct 7, 2026Pius J. M. Wichmann, Stefan Hildebrand, Sandra KlingeNeural PDE SolversStructural Mechanics

  5. A differentiable Lagrangian-coupled 3D Gaussian Splatting-SPH model for forward simulation and inverse analysis in solid mechanics

    Oct 3, 2026Tian Xu, Soroush Atashi, Tianju XueDeformable Object SimulationStructural Mechanics

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

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

  7. 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

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

    Sep 21, 2026Zhihang Qin, Linxin Hou, Zeyu Zhong +10Structural MechanicsContinuum Robot Control

  9. 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

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

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

  11. 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

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

    Sep 9, 2026Yongmin Kwon, Namwoo KangTopology OptimizationStructural Mechanics

  13. 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

  14. FractureFields: Contact-Aware Binary Multi-Field Transfer for Fractured 3D Gaussian Simulation

    Aug 29, 2026Jianchen Wang, Runyang Qu, Fei LiDeformable Object SimulationMaterial Point Method

  15. A mesh-free multiresolution deep energy method with phase-field modeling of brittle fracture

    Aug 25, 2026Han Zhang, Mehrisadat Makki Alamdari, Babak Shahbodagh +4Structural MechanicsMaterials Science

  16. A Physics-informed Neural Network Approach for Robust Buckling Load Prediction and Reliability-Based Design of Thin Truncated Conical Shells

    Aug 22, 2026Devasmit Dutta, Budhaditya De, Rohan Majumder +1Structural MechanicsNeural Surrogate Modeling

  17. 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

  18. 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

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

    Aug 6, 2026Victor Zheleznov, Stefan BilbaoPDE SolvingStructural Mechanics

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

    Aug 5, 2026Ruifeng Cao, Xidan SongSurrogate ModelingStructural Mechanics

  21. 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

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

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

  23. 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

  24. 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

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

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

  26. 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

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

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

  28. 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

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

    Jul 5, 2026Yifan WangStructural MechanicsInverse Design

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

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