Submission Deadline: 31 July 2027 View: 150 Submit to Special Issue
Dr. Nhon Nguyen-Thanh
Email: nguyenthanhnhon@tdtu.edu.vn
Affiliation: Institute for Advanced Study in Technology, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
Research Interests: fracture mechanics, phase field modeling, numerical methods, computational mechanics
Dr. Raj Kiran
Email: raj@iitmandi.ac.in
Affiliation: School of Mechanical and Materials Engineering, Indian Institute of Technology Mandi, Mandi, India
Research Interests: phase field modeling, fracture mechanics, numerical methods, composite materials, plate and shell theories
Dr. Weidong Li
Email: weidong.li@ntu.edu.sg
Affiliation: Singapore Centre for 3D Printing, Nanyang Technological University, Singapore
Research Interests: phase field modeling, fracture mechanics, numerical methods
The rapid development of advanced materials and engineering systems has significantly increased the demand for robust computational methodologies capable of accurately predicting complex mechanical behavior under coupled physical fields and severe loading conditions. Modern engineering structures—including composite laminates, smart materials, metamaterials, functionally graded materials, and additively manufactured components—often exhibit strongly coupled multiphysics responses involving mechanical, thermal, electrical, magnetic, and diffusion phenomena, together with progressive damage, fracture, and fatigue. Addressing these challenges requires advanced numerical formulations as well as emerging data-driven techniques.
This Special Issue aims to provide an interdisciplinary platform for researchers working on the development and application of computational methods for the analysis of solid materials and structures. Contributions covering finite element methods, isogeometric analysis, meshfree and particle methods, boundary element methods, peridynamics, phase-field approaches, multiscale modeling, and other advanced numerical techniques are particularly encouraged. The issue also welcomes studies on computational fracture mechanics, fatigue and damage evolution, crack initiation and propagation, structural integrity assessment, and failure prediction in conventional and multifunctional materials. In addition, submissions employing machine learning, physics-informed neural networks, scientific machine learning, surrogate modeling, digital twins, and other data-driven approaches for simulation, model acceleration, inverse analysis, optimization, and structural health monitoring are highly encouraged. Applications involving plates, shells, beams, solid structures, smart materials, and multifunctional engineering systems are especially welcome. Topics of interest for publication include, but are not limited to:
· Computational mechanics
· Multiphysics analysis
· Computational fracture mechanics
· Fatigue and damage mechanics
· Finite element method (FEM)
· Isogeometric analysis (IGA)
· Meshfree and particle methods
· Boundary element and advanced numerical methods
· Smart and multifunctional materials
· Composite and functionally graded structures
· Plates, shells, and thin-walled structures
· Phase-field and peridynamics
· Scientific machine learning and physics-informed neural networks
· Data-driven modeling and surrogate methods
· Structural optimization and digital twins
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