H. Nguyen-Xuan

HUTECH University · Cirtech institute

This study brings to readers the generalized formulation of three-variable plate theory and an efficient computational approach for analyzing plates. The theory not only has three degree of freedoms (DOFs) per node, which complies with three dimensional space of full plate model as classical plate theory (CPT) but also accounts for the effect of sh...

Meta-heuristic algorithms play an important role in the optimization field thanks to their robustness and programming simplicity. Many meta-heuristic methods have been devised in recent years. Inspired by nature, they usually simulate natural or human-specific phenomena in a better way. A large amount of them are based on complicated behaviors requ...

A BCMO-ANN algorithm for vibration and buckling optimization of functionally graded porous (FGP) microplates is proposed in this paper. The theory is based on a unified framework of higher-order shear deformation theory and modified couple stress theory. A combination of artificial neural network (ANN) and balancing composite motion optimization (B...

Functionally graded porous plates have been validated as remarkable lightweight structures with excellent mechanical characteristics and numerous applications. With inspiration from the high strength-to-volume ratio of triply periodic minimal surface (TPMS) structures, a new model of porous plates, which is called a functionally graded TPMS (FG-TPM...

3D printing has become highly applicable in modern life recently. The industry has brought a facelift to most others. However, this technology still exists some shortcomings, and it therefore has not been generalised to bring the best benefits to users. In this paper, based on multilayer perceptron and convolution neural network models, we propose...

Identifying crack and predicting crack propagation are critical processes for the risk assessment of engineering structures. Most traditional approaches to crack modeling are faced with issues of high computational costs and excessive computing time. To address this issue, we explore the potential of deep learning (DL) to increase the efficiency of...

The utilization of artificial intelligence (AI) in daylight analysis has recently experienced an increase. Its capabilities have been demonstrated through different studies. While using AI for daytime simulation can reduce time, it also presents significant challenges. Whether we utilize the conventional approach of simulating daylight or employ ar...

This article aims to study the free vibration, buckling and bending behaviours of the functionally graded triply periodic minimal surface (FG-TPMS) microplates using isogeometric approach. The study encompasses a comprehensive analysis of three TPMS plate models, namely the Primitive, Gyroid, and I wrapped package-graph, with two distinct density d...

Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical applications. In this paper, we propose an efficient approach for automating 3D facial wound segmentation using a two-stream graph convolutional network. Our method leverages the Cir3D-FaIR dataset and addresses the challenge o...

This study presents a novel and efficient approach for analyzing the nonlinear behavior of nanoscale plates composed of functionally graded (FG) piezoelectric porous materials. Our approach, which focuses on small-scale structures, demonstrates remarkable efficiency and represents the first of its kind. A generalized model for FG piezoelectric nano...

This paper explores a free vibration analysis of functionally graded triply periodic minimal surface plates using a first order shear deformation theory in conjunction with moving Kriging meshfree method. The FG-TPMS plates are modeled the same as porous structures with three different patterns (Primitive, Gyroid, and wrapped package-graph) and six...

Large-scale 3D printed concrete structures with lattice infill will result in lightweight components with high mass-specific strength, and faster fabrication, compared to conventional casting methods. However, the effect of different infill patterns on mechanical performance is still not addressed clearly in many scientific publications. This study...

In recent years, research and applications of bioinspired structures in advanced engineering fields have gained increased attention from the research community, thanks to their fascinating properties. In this study, we address an efficient computational approach for performing nonlinear static and dynamic analyses of functionally graded plates base...

This paper studies elasto-plastic large deformation behavior of thin shell structures using the isogeometric computational approach with the main focus on the efficiency in modelling the multi-patches and arbitrary material formulations. In terms of modelling, we employ the bending strip method to connect the patches in the structure. The incorpora...

Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical applications. In this paper, we propose an efficient approach for automating 3D facial wound segmentation using a two-stream graph convolutional network. Our method leverages the Cir3D-FaIR dataset and addresses the challenge o...

Fuel cell hybrid electric vehicles (FCHEVs) have been recognized as a promising solution for green and sustainable transportation. Unfortunately, the low performance and high operational cost make current FCHEVs less attractive than their alternatives. In this paper, we address a new contribution to the optimal design for the FCHEV components’ para...

This study proposes a pseudo-lower bound method for direct limit analysis of two-dimensional structures and safety evaluation based on isogeometric analysis integrated through Bézier extraction. The key idea in this approach is that the stress field is separated into two parts: fictitious elastic and residual, and then the equilibrium conditions ar...

This paper presents a size-dependent isogeometric analysis of smart functionally graded porous nanoscale plates made of two piezoelectric materials. Two porous distributions, namely even and uneven, are considered along the thickness direction. To take into account for size-dependent effects, the nonlocal elasticity theory proposed by Eringen is em...

This paper presents the full analysis of near-interface cracks in three-dimensional linear elastic multimaterial bodies by a weakly singular boundary integral equation method (BIEM). The proposed technique was implemented in a general framework that allowed the treatment of finite cracked bodies with general configurations, material anisotropy, and...

In this study, we propose a novel deep learning model named as the Finite-element-informed neural network (FEI-NN), inspired from finite element method (FEM) for parametric simulation of static problems in structural mechanics. The approach trains neural networks in the supervised manner, in which parametric variables of structures are considered a...

This paper presents the bending behaviour of the porcupine quill and bioinspired Voronoi sandwich panels, aiming to explore the effect of geometry design on the bending performance of the inspired structures. Through the X-ray micro-computed tomography, the internal morphology of the quill is explored. The longitudinal cross-section of the porcupin...

In this study, we emphasize the integration of a pre-trained MICA model with an imperfect face dataset, employing a self-supervised learning approach. We present an innovative method for regenerating flawed facial structures, yielding 3D printable outputs that effectively support physicians in their patient treatment process. Our results highlight...

The free vibration analysis of the homogenous magneto-electro-elastic (MEE) plate based on a refined first-order shear deformation theory and moving Kriging meshfree method is presented in this paper. The refined first-order shear deformation theory (RFSDT) only includes four variables and reduces one variable when comparing to original first-order...

This study explores the potential of a fully convolutional mesh autoencoder model for regenerating 3D nature faces with the presence of imperfect areas. We utilize deep learning approaches in graph processing and analysis to investigate the capabilities model in recreating a filling part for facial scars. Our approach in dataset creation is able to...

Functionally graded porous plates have been validated as remarkable lightweight structures with excellent mechanical characteristics and numerous applications. With inspiration from the high strength-to-volume ratio of triply periodic minimal surface (TPMS) structures, a new model of porous plates, which is called a functionally graded TPMS (FG-TPM...

Research on strengthening and retrofitting of concrete structures against explosive loading has recently received much attention. This paper proposes a new type of reinforcement for concrete panels to enhance their blast‐resistant capacity. The reinforcement structure is naturally optimized with continuous nonself‐intersecting surfaces, known as tr...

In the current study, we present an efficient and straightforward numerical framework for exploring the responses of functionally graded triply periodic minimal surface (FG-TPMS) microplates. FG-TPMS structures including Primitive (P), Gyroid (G), and I-graph and Wrapped Package-graph (IWP) exhibit numerous potential applications in engineering due...

In this paper, three different smoothed finite elements (SFEM), viz., node-based smoothed finite method (NS-FEM), face-based smoothed finite element method (FS-FEM) and $\alpha-$finite element method ($\alpha-$FEM) are adopted for 3D solids undergoing large deformation. The common feature of all these techniques is the introduction of smoothed stra...

Latencies and limitations exist in the simulation of bio-inspired structures or highly complex geometries manufactured by digital concrete fabrication. This study develops a computational framework to portray the anisotropic material attributes and predict the crack patterns of hardened 3D printed fiber-reinforced concrete beams. Bio-inspired Bouli...

While significant efforts have been devoted to material and printing process optimisation for 3D concrete printing (3DCP) on flat surfaces, printing on non-planar or complex surfaces remains challenging. In this work, a design-to-printing framework that combines digital models and physical printing processes is developed and validated for 3DCP on n...

Bioinspired structures are remarkable porous structures with great strength-to-weight ratios. Hence, they have been applied in various fields including biomedical, transportation, and aerospace materials, etc. Recent studies have shown the significant impact of the plastic 3D printed triply periodic minimal surfaces (TPMS) structure on the cement b...

A phase-field approach becomes a more popular candidate in modeling crack propagation. It uses a scalar auxiliary variable, namely a phase-field variable, to model a discontinuity zone in a continuity domain. Furthermore, the fourth-order phase-field approach produces a better convergence rate and more accurate solutions than the second-order one....

This paper proposes an effective computational tool for brittle crack propagation problems based on a combination of a higher-order phase-field model and a non-conforming mesh using a NURBS-based isogeometric approach. This combination, as demonstrated in this paper, is of great benefit in reducing the computational cost of using a local refinement...

Numerical models of three-dimensional (3D) shells made of multi-directional functionally graded material (FGM) are firstly proposed using the latest development of polyhedral finite element methods with arbitrary polyhedral elements (Poly-FEM). The shell is modelled as a solid structure and its static and dynamic responses are investigated. The eff...

Surrogate modeling techniques are widely employed in solving constrained expensive black-box optimization problems. Therein, Kriging is among the most popular surrogates in which the trend function is considered as a constant mean. However, it also encounters several challenges related to capturing the overall trend with a relatively limited number...

In this paper, a nonlocal strain gradient isogeometric model based on the higher order shear deformation theory for free vibration analysis of functionally graded graphene platelet-reinforced composites (FG GPLRC) plates is performed. Various distributed patterns of graphene platelets (GPLs) in the polymer matrix including uniform and non-uniform a...

Dynamic performance of cement/concrete-based structures has been gaining increasing interest in the construction industry. Many types of reinforcement, i.e., steel rebars, fiber-reinforced polymer, have been introduced to improve the structure's mechanical behavior under dynamic loading. In this paper, the Primitive minimal surface - one type of th...

Porous structures with controllable mechanical and hydrodynamic characteristics are prospective candidates for coastal engineering applications. In this paper, a novel emerged porous breakwater based on triply periodic minimal surface (TPMS) cellular structure is proposed. Mechanical behaviour of TPMS structures is analyzed by conducting uniaxial c...

This paper proposes the novel two-phase metaheuristic method that combines the distinctive features provided by evolutionary structural optimization (ESO) and comprehensive learning particle swarm optimization (CLPSO) for the design of steel structures with standard sections. The approach overcomes the challenges associated with local optima pitfal...

Matlab Code

Failures induced by either instability (elastic buckling) or green strength (plastic collapse) mechanisms have been commonly encountered in 3D concrete printed (3DCP) structures. In this work, a numerical model of the 3D concrete printing process is implemented to simulate these two failure mechanisms. Early-age mechanical properties of two printab...

Daylight analysis is essential in building design to ensure indoor environment quality, including health and thermal comfort vis-à-vis energy. It is a repeating and time-consuming process of design options. Several studies conducted machine learning models to accurately predict daylight performance in particular design situations. Therefore, develo...

In this study, we investigate the dynamic performance of the three-dimensional solid structures by using the latest development of a consecutive-interpolation scheme. The structure is discretized into finitely arbitrary polyhedral elements. The bounded faces of an element can be non-planar. The interpolation scheme is constructed through two main s...

This paper adopts DualSPHysics, the powerful SPH models, to investigate a large-scale 2-D numerical simulation of wave-structure interactions. As a case study, a non-conventional seawall structure built at Vietnam's coastline is considered. The hydraulic performance of such a structure is assessed using the value of wave overtopping over structure....

Most of the multiscale topology optimization (TO) approaches, which have been proposed for multi-material designs, are based on the assumption of deterministic loads and the exclusion of uncertain quantities like positions, directions, and magnitudes of loads. This contribution deals with: (1) multiscale design; (2) multi-materials; (3) loading unc...

In this paper, a simple deep learning network (DLN) based on the geometry parameters of moving morphable bars (MMBs) was proposed for the data-driven optimal topology prediction. The MMBs-based topology optimization approach is adopted to generate datasets that contain optimized topologies described by the geometry parameters. The DLN is simply bui...

We in this paper propose an efficient and vigorous approach based on flexible polygonal meshes for solving stress-constrained topology optimization problems involving both compressible and nearly incompressible materials. The core idea is to employ a polygonal composite finite element technique to deal with volumetric locking phenomena in nearly in...

The paper presents a size-dependent high-order shear deformation theory (HSDT) model for static and free vibration and analyses of laminated composite and sandwich nanoplates based on the nonlocal strain gradient theory. To consider the size effect of nanostructures, two scale parameters having relationship with the nonlocal and strain gradient eff...

A phase-field approach becomes a more popular candidate in modeling crack propagation. It uses a scalar auxiliary variable, namely a phase-field variable, to model a discontinuity zone in a continuity domain. Furthermore, the fourth-order phase-field approach produces a better convergence rate and more accuracy of the solutions than the second-orde...

In this research, development of a new bidirectional MRF based actuator (BMRA) is presented. In this configuration, the housing and the input shaft of BMRA rotate in opposite direction at the same speed via bevel gear system. On the input shaft, a disc made of magnetic steel is fastened. Another disc, also made of magnetic steel, is fastened to the...

This proceedings book includes a selection of refereed papers presented at the International Conference on Modern Mechanics and Applications (ICOMMA) 2020, which took place in Ho Chi Minh City, Vietnam, on December 2–4, 2020. The contributions highlight recent trends and applications in modern mechanics. Subjects covered include biological systems;...

This study presents a hybrid phase-field formulation combining isogeometric analysis with a local refinement multipatch algorithm (VUKIMS algorithm) to predict damage in functionally graded material structures. The power-law index of the Mori–Tanaka mixture rule will impact the critical force point. We have confirmed that this approach is an effect...

In this paper, we explore the advantages of heuristic mechanisms and devise a new optimization framework named Sequential Motion Optimization (SMO) to strengthen gradientbased methods. The key idea of SMO is inspired from a movement mechanism in a recent metaheuristic method called Balancing Composite Motion Optimization (BCMO). Specifically, SMO e...

In this paper, a size dependent numerical model for free vibration and bending analyses of hexagonal beryllium crystal (HBC) nanoplates is presented. Based on the nonlocal strain gradient theory (NSGT), both nonlocal and strain gradient effects are considered in the present model. In addition, the behavior of HBC material can be considered as an an...

Concrete exhibits inherently low ductility and tensile strength despite its high compressive strength. Typically, it must be reinforced with steel rebars, yet it still suffers from potential corrosion issues. This work proposes and examines a new method for improving the bending stiffness of cementitious beams by reinforcing with 3D printed plastic...

The Hydrogen Embrittlement (HE) appearance is the main reason for the desire to evaluate the burst pressure of pipes. Several existing models predict burst pressure of hydrogen-induced pre-cracking pipes with the fracture mechanics criterion (fracture toughness, Jcr). Still, none of them has taken into account the model uncertainty. In this paper,...

In this article, we explore a three-dimensional solid isogeometric analysis (3D-IGA) approach based on a nonlocal elasticity theory to investigate size effects on natural frequency and critical buckling load for multi-directional functionally graded (FG) nanoshells. The multi-directional FG material uses a power law rule with three power exponent i...

Material and structural non-destructive evaluations using guided-wave (GW) testing techniques rely on the knowledge of wave dispersion characteristics. When studying coupled fluid–solid waveguides having complex geometries using the semi-analytical finite element (SAFE) method, an excessive computational effort may be required, especially at high-f...

Porosities exist as pores of different sizes within a structure to fabricate lightweight materials and the sintering process. The porous structure gives a lower loading capacity than the perfect design. Crack propagation is also a complicated behavior in this structure. The hybrid phase-field approach is suitable to provide an effective computation...

In this research work, a novel disc-type configuration of magneto-rheological brake (MRB) with zigzag magnetic flux path is proposed. In this design, a rotor component consisting of several magnetic plates integrated in a disc made of non-magnetic material is implemented. A magnetic plate is separated with the others by nonmagnetic separators of th...

This paper aims to develop a nonlocal strain gradient meshfree plate approach which combines the nonlocal strain gradient theory (NSGT), higher order shear deformation theory (HSDT) and meshfree method, for the bending and free vibration analyses of laminated composite and sandwich nanoplates. Mechanical characteristics of small-scale structures ca...

We investigate the nonlinear bending behavior of nanoporous metal foam plates within the framework of isogeometric analysis (IGA) and higher-order plate theory. The nonlocal strain gradient theory (NSGT) taking into account the length scale and nonlocal parameters has been adopted to establish a scale dependent model of metal foam nanoscale plates....

Understanding dispersion relations and wave mode shapes is vital in nondestructive control of dynamic behaviors of poroelastic composites. In the framework of semi-analytical finite element (SAFE) method, this paper presents two numerical approaches so-called semi-analytical isogeometric Galerkin (SAIGA-G) and semi-analytical isogeometric collocati...

This study presents a meshfree approach using a naturally stabilized nodal integration (NSNI) combined with a higher-order shear deformation theory (HSDT) for buckling analysis of functionally graded graphene platelets reinforced composite (FG GPLRC) plates. Various types of distributed graphene platelets (GPLs) consisting of uniform and functional...

In this work, we present a size-dependent numerical approach for free vibration analysis of functionally graded (FG) microplates based on the modified strain gradient theory (MSGT), simple first-order shear deformation theory (sFSDT) and moving Kriging meshfree method. The present approach decreases one variable compared with the original first-ord...

We propose a size-dependent moving Kriging meshfree approach for bending, free vibration and buckling analyses of functionally graded (FG) microplates using the refined plate theory (RPT) and modified strain gradient theory (MSGT). The RPT retains only four variables and reduces one variable when comparing to the original higher order shear deforma...

Numerical methods studied the functionally graded piezoelectric porous (FGPP) microplates are still somewhat restricted. In this study, a size-dependent approach in the framework of isogeometric analysis (IGA) via the modified strain gradient theory (MSGT) and the higher-order shear deformation theory (HSDT) for electro-mechanical vibration analysi...

This paper presents a direct multiscale design approach for three-dimensional (3D) porous structures. The porous material modeling technique, which involves the use of the adaptive geometric components (AGCs), is employed to simultaneously describe the macrostructure and microstructure of material while the multiresolution topology optimization (MT...

The purpose of this study is to present a quasi-three-dimensional (quasi-3D) shear deformation theory for static bending and free vibration analyses of porous sandwich functionally graded (FG) plates with graphene nanoplatelets (GPLs) reinforcement. In addition, we propose a novel sandwich plate model with various outstanding features in terms of s...

In this paper, we investigate the use of a consecutive-interpolation for polyhedral finite element method (CIPFEM) in the analysis of three-dimensional solid mechanics problems. A displacement-based Galerkin weak form is used, in which the nodal degrees of freedom and their derivatives are both considered for the approximation scheme. Based on arbi...

Currently, the vertical drain consolidation problem is solved by numerous analytical solutions, such as time-dependent solutions and linear or parabolic radial drainage in the smear zone, and no artificial intelligence (AI) approach has been applied. Thus, in this study, a new hybrid model based on deep neural networks (DNNs), particle swarm optimi...

The majority of topology optimization methods for porous infill designs is based on the assumption of deterministic loads. However, in practice, quantities such as positions, weights, and directions of applied loads may change accidentally. Deterministic load-based designs might deliver poor structural performance under loading uncertainties. Such...

Cellular structures with tunable mechanical properties are promising lightweight structures for prefabricated construction. In this study, a 3D fractal structure named Menger-Sponge (MS) cube is analysed. Besides, six other alternative fractal structures are designed with respect to different shapes of their associated hollow sections. Finite eleme...

A nonlocal strain gradient meshfree model based on the nonlocal strain gradient theory (NSGT) and higher-order shear deformation theory (HSDT) is presented and developed to examine the bending and free vibration behaviors of functionally graded (FG) nanoplates. Regarding two scale parameters, nonlocal and strain gradient effects in nanostructures a...

Triply periodic minimal surface (TPMS) based cellular structures have drawn increasingly attention due to their mathematically controlled topologies and promising mechanical properties. Here, we combine 3D-printing technique, experiments, theoretical formulation and numerical simulation to investigate a novel class of lightweight sandwich structure...

A scale-dependent nonlocal strain gradient isogeometric model of metal foam nanoscale plates with various porosity distributions is proposed. Three porosity distributions through the plate thickness including uniform, symmetric and asymmetric distributions are considered. The present model is efficient to capture both nonlocal and strain gradient e...

This article presents a novel concept for an Origami-inspired shading device based on dynamic daylight that can be used to improve the daylight performance of a target building and reduce the energy con- sumption for the building. The daylight performance is evaluated based on the Leed v4 (Leadership in Energy and Environmental Design) daylight cri...