Computational Modeling of Smart Materials, Structural Health, and Electromagnetic Fields

Computational Modeling of Smart Materials, Structural Health, and Electromagnetic Fields

This research community develops numerical methods and physical models for smart materials, structural monitoring, and electromagnetic systems. It focuses on simulating how materials like functionally graded composites and magnetostrictive actuators respond to mechanical stress, magnetic fields, and heat, and on using these simulations to detect damage or harvest energy.

The work centers on advanced numerical techniques, particularly finite element, virtual element, and boundary element methods, applied to complex physical phenomena. Recurring topics include the analysis of functionally graded materials, giant magnetostrictive actuators, and optical fiber sensors. A significant portion of the research addresses structural health monitoring, damage detection, and free vibration analysis. Other key areas involve reaction-diffusion equations, wave propagation, and energy harvesting mechanisms. The community also explores the intersection of these physical models with control theory and neural networks for system optimization and state estimation.

The community is a major contributor to research on Terbium, accounting for 7.2% of all Terbium-related papers, and 1.6% of Lead-related papers. It also represents 1.2% of Zirconium research and 0.9% of Titanium research.

There are 4,363 papers in this community, published primarily in Smart Materials and Structures, Journal of Applied Physics, and Journal of Intelligent Material Systems and Structures.

Recent work continues to focus on machine learning applications for structural health monitoring, optomechanical sensor networks using fiber Bragg gratings, and the nonlinear dynamics of energy harvesters.

Papers behind this description

• A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring — Sensors, 2023 — doi:10.3390/s23042204
• Review of finite element model updating methods for structural applications — Structures, 2022 — doi:10.1016/j.istruc.2022.05.041
• Eighty Years of the Finite Element Method: Birth, Evolution, and Future — Archives of Computational Methods in Engineering, 2022 — doi:10.1007/s11831-022-09740-9
• The Dao of three-way decision and three-world thinking — International Journal of Approximate Reasoning, 2023 — doi:10.1016/j.ijar.2023.109032
• Review on smartphone sensing technology for structural health monitoring — Measurement, 2023 — doi:10.1016/j.measurement.2023.113716
• Non-destructive testing and structural health monitoring technologies for carbon fiber reinforced polymers: a review — Nondestructive Testing And Evaluation, 2024 — doi:10.1080/10589759.2024.2324149
• Basix: a runtime finite element basis evaluation library — Journal of Open Source Software, 2022 — doi:10.21105/joss.03982
• Review of rotating machinery elements condition monitoring using acoustic emission signal — Expert Systems with Applications, 2024 — doi:10.1016/j.eswa.2024.124169
• Higher-order convergence analysis for interior and boundary layers in a semi-linear reaction-diffusion system networked by a $ k $-star graph with non-smooth source terms — Networks and Heterogeneous Media, 2024 — doi:10.3934/nhm.2024048
• A Review on Acoustic Emission Testing for Structural Health Monitoring of Polymer-Based Composites — Sensors, 2023 — doi:10.3390/s23156945
• Machine Learning for Structural Health Monitoring of Aerospace Structures: A Review — Sensors, 2025 — doi:10.3390/s25196136
• Three-way decisions based multi-attribute decision-making with utility and loss functions — European Journal of Operational Research, 2024 — doi:10.1016/j.ejor.2024.01.043
• A systematic review of biomechanical studies utilising finite element analysis in hallux valgus deformity — Foot and Ankle Surgery, 2025 — doi:10.1016/j.fas.2025.05.005
• Optomechanical sensor network with fiber Bragg gratings — Nature Communications, 2025 — doi:10.1038/s41467-025-66350-2
• Nonlinear stochastic dynamics of NES-based energy harvesters under random excitation via DPIM — Mechanical Systems and Signal Processing, 2025 — doi:10.1016/j.ymssp.2025.113507
• An improved inverse finite element method based on co-rotational coordinates for reconstructing geometrically nonlinear shell deformations — Thin-Walled Structures, 2025 — doi:10.1016/j.tws.2025.113569
• Asynchronous Boundary Stabilization of Stochastic Markovian Reaction–Diffusion Neural Networks With Mode-Dependent Delays — IEEE Transactions on Neural Networks and Learning Systems, 2025 — doi:10.1109/tnnls.2025.3574214
• Boundary Sampled-Data Synchronization of Delayed Reaction-Diffusion Neural Networks — IEEE Transactions on Cybernetics, 2025 — doi:10.1109/tcyb.2025.3599201