A5056226186- Structural Health Monitoring Techniques
- Composite Material Mechanics
- Mechanical Behavior of Composites
- Ultrasonics and Acoustic Wave Propagation
- Topology Optimization in Engineering
- Polymer composites and self-healing
- Additive Manufacturing and 3D Printing Technologies
- Structural Behavior of Reinforced Concrete
- Additive Manufacturing Materials and Processes
- Probabilistic and Robust Engineering Design
- Fatigue and fracture mechanics
- Structural Response to Dynamic Loads
- Optical measurement and interference techniques
- Carbon Nanotubes in Composites
- Polymer crystallization and properties
- Machine Learning in Materials Science
- Metallurgy and Material Forming
- Advanced Mathematical Modeling in Engineering
- Polymer Nanocomposites and Properties
- Manufacturing Process and Optimization
- Infrastructure Maintenance and Monitoring
- Nonlocal and gradient elasticity in micro/nano structures
- Epoxy Resin Curing Processes
- Welding Techniques and Residual Stresses
- Composite Structure Analysis and Optimization
Seoul National University
2016-2025
University of Akron
2008-2015
Washington University in St. Louis
2007-2009
Murphy Oil Corporation (United States)
2009
Marymount University
2008
Tsinghua University
2004-2007
University of Illinois Urbana-Champaign
2005-2006
AbstractThis paper proposes a microstructure reconstruction framework with denoising diffusion models for the first time. The novelty and strength of proposed model lie in its universality generality characterization (MCR) that can be applied to various types composite materials. applicability diffusion-based is validated several microstructures (e.g., polycrystalline alloy, carbonate, ceramics, copolymer, fiber composite, etc.) have different morphological characteristics. Moreover, an...
SUMMARY The Firefly Algorithm (FA) as a recent new meta‐heuristic optimization algorithm is developed for determining optimum design of tower shaped structures. FA mimics the social behavior fireflies, which communicate, search pray and find mates using bioluminescence with varied flashing patterns. In this paper, an adaptive presented that utilizes feasible‐based method to handle constraints. This effective in improving convergence also suitable expensive tasks such large‐scale Three...
A new nonlinear model was developed to evaluate the shear resistance of steel fiber-reinforced concrete beams (SFRCB) using linear genetic programming (LGP). The proposed relates strength geometrical and mechanical properties SFRCB. best selected after developing controlling several models with different combinations influencing parameters. were a comprehensive database containing 213 test results SFRC without stirrups obtained through an extensive literature review. includes experimental...
In this paper, the stress sensing performance of two well-known mechanoluminescence (ML) materials, (1) SrAl2O4:Eu (SAOE) and (2) SrAl2O4:Eu, Dy (SAOED), has been experimentally studied. Under same input loadings strain rates, changes light intensity have characterized in terms sensitivity, repeatability linearity. Effects rate on also investigated for both ML materials. SAOED appears to perform better as an sensor than SAOE because it shows higher sensitivity no saturation during loading...
3D printing, a rapidly growing material processing technique has found its broad applications in construction, automobiles, robotics, domestic usage and biomedical sectors due to ability fabricate the desirable objects from scratch. However, non-recyclable non-reprocessable nature of most printed structures, discarded generate wastes after damage or use. Covalent Adaptable Networks (CANs) are polymeric networks those can change their network topology by exchanging functionalities under...
Abstract Acquiring reliable microstructure datasets is a pivotal step toward the systematic design of materials with aid integrated computational engineering (ICME) approaches. However, obtaining three-dimensional (3D) often challenging due to high experimental costs or technical limitations, while acquiring two-dimensional (2D) micrographs comparatively easier. To deal this issue, study proposes novel framework called ‘Micro3Diff’ for 2D-to-3D reconstruction microstructures using...
Abstract Cyclic behavior of materials is complex and difficult to model. A combination hardening rules in classical plasticity one possibility for modeling this material behavior. Neural network (NN) constitutive models have been shown the past capability directly from results tests. In paper, we propose a novel approach NN‐based cyclic materials. The proposed NN model uses new internal variables that facilitate learning hysteretic same can also be used structural systems or components under...
In this paper, an extended Mori-Tanaka (MT) model was proposed to evaluate effective stiffnesses of wavy carbon nanotube (CNT) nanocomposites with interface damage. The combined MT theory linear spring and CNT model. We validated the by comparing analytically numerically derived dilute strain concentration tensors for 3D finite element models, respectively. Interfacial compliances attributed nonbonded interactions were estimated van der Waals Coulomb potentials in a molecular dynamics (MD)...
Vitrimers, a class of polymeric networks that change their topology above threshold temperature, have been investigated in recent years. In order to further extend properties, this research, we demonstrate disulfide exchange assisted polydimethylsiloxane (PDMS)- and graphene oxide (GO)-involved epoxy vitrimers, which exhibit reduction glass transition temperature storage modulus with increase flexural strain low-temperature self-healing. Stress relaxation Arrhenius study were carried out for...
In this paper, catalyst-free room-temperature healing epoxy vitrimer-like materials (S-vitrimer) are introduced. The S-vitrimer can be healed at room temperature without any external stimuli such as solvent, pressure, heat, and catalyst through an aromatic disulfide exchange reaction a hydrogen bond because the glass transition of is lower than temperature. Self-healing attracting widespread attention nowadays with their potential to increase durability materials. However, there still...