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V. Ho-Huu
Faculty of Aerospace Engineering, Delft University of Technology, P.O. Box 5058, 2600 GB Delft, The Netherlands

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Journal article
Published: 20 November 2019 in International Journal of Computational Methods
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This study presents an extension of the cell-based smoothed discrete shear gap method (CS-DSG3) using three-node triangular elements for the static and free vibration analyses of carbon nanotube reinforced composite (CNTRC) plates. The single-walled carbon nanotubes (SWCNTs) are assumed to be uniformly distributed (UD) and functionally graded (FG) distributed along the thickness direction. The material properties of carbon nanotube-reinforced composite plates are estimated according to the rule of mixture. The governing equations are developed based on the first-order shear deformation plate theory (FSDT). In the CS-DSG3, each triangular element will be divided into three sub-triangles, and in each sub-triangle, the stabilized discrete shear gap method is used to compute the strains and to avoid the transverse shear locking. Then the strain smoothing technique on the whole triangular element is used to smooth the strains on these three sub-triangles. Effects of several parameters, such as the different distribution of carbon nanotubes (CNTs), nanotube volume fraction, boundary condition and width-to-thickness ratio of plates are investigated. In addition, the effect of various orientation angles of CNTs is also examined in detail. The accuracy and reliability of the proposed method are verified by comparing its numerical solutions with those of other available results in the literature.

ACS Style

T. Truong-Thi; T. Vo-Duy; V. Ho-Huu; T. Nguyen-Thoi. Static and Free Vibration Analyses of Functionally Graded Carbon Nanotube Reinforced Composite Plates using CS-DSG3. International Journal of Computational Methods 2019, 17, 1 .

AMA Style

T. Truong-Thi, T. Vo-Duy, V. Ho-Huu, T. Nguyen-Thoi. Static and Free Vibration Analyses of Functionally Graded Carbon Nanotube Reinforced Composite Plates using CS-DSG3. International Journal of Computational Methods. 2019; 17 (3):1.

Chicago/Turabian Style

T. Truong-Thi; T. Vo-Duy; V. Ho-Huu; T. Nguyen-Thoi. 2019. "Static and Free Vibration Analyses of Functionally Graded Carbon Nanotube Reinforced Composite Plates using CS-DSG3." International Journal of Computational Methods 17, no. 3: 1.

Journal article
Published: 17 October 2019 in Transportation Research Part D: Transport and Environment
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In this article, we present the development of a two-step optimization framework to deal with the design and selection of aircraft departure routes and the allocation of flights among these routes. The aim of the framework is to minimize cumulative noise annoyance and fuel burn. In the first step of the framework, multi-objective trajectory optimization is used to compute and store a set of routes that will serve as inputs in the second step. In the second step, the selection of routes from the sets of pre-computed optimal routes and the optimal allocation of flights to these routes are conducted simultaneously. To validate the proposed framework, we also conduct an analysis involving an integrated (one-step) approach, in which both trajectory optimization and route allocation are formulated as a single optimization problem. A comparison of both approaches is then performed, and their advantages and disadvantages are identified. The performance and capabilities of the present framework are demonstrated using a case study at Amsterdam Airport Schiphol in The Netherlands. The numerical results show that the proposed framework can generate solutions which can achieve a reduction in the number of people annoyed of up to 31% and a reduction in fuel consumption of 7.3% relative to the reference case solution.

ACS Style

V. Ho-Huu; S. Hartjes; H.G. Visser; R. Curran. An optimization framework for route design and allocation of aircraft to multiple departure routes. Transportation Research Part D: Transport and Environment 2019, 76, 273 -288.

AMA Style

V. Ho-Huu, S. Hartjes, H.G. Visser, R. Curran. An optimization framework for route design and allocation of aircraft to multiple departure routes. Transportation Research Part D: Transport and Environment. 2019; 76 ():273-288.

Chicago/Turabian Style

V. Ho-Huu; S. Hartjes; H.G. Visser; R. Curran. 2019. "An optimization framework for route design and allocation of aircraft to multiple departure routes." Transportation Research Part D: Transport and Environment 76, no. : 273-288.

Preprint
Published: 29 August 2019
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In this article, we present the development of a two-step optimization framework to deal with the design and selection of aircraft departure routes and the allocation of flights among these routes. The aim of the framework is to minimize cumulative noise annoyance and fuel burn. In the first step of the framework, multi-objective trajectory optimization is used to compute and store a set of routes that will serve as inputs in the second step. In the second step, the selection of routes from the set of pre-computed optimal routes and the optimal allocation of flights among these routes are conducted simultaneously. To validate the proposed framework, we also conduct an analysis involving an integrated (one-step) approach, in which both trajectory optimization and route allocation are formulated as a single optimization problem. A comparison of both approaches is then performed, and their advantages and disadvantages are identified. The performance and capabilities of the present framework are demonstrated using a case study at Amsterdam Airport Schiphol in The Netherlands. The numerical results show that the proposed framework can generate solutions which can achieve a reduction in the number of people annoyed of up to 31% and a reduction in fuel consumption of 7.3% relative to the reference case solution.

ACS Style

V. Ho-Huu; S. Hartjes; H. G. Visser; R. Curran. An optimization framework for route design and allocation of aircraft to multiple departure routes. 2019, 1 .

AMA Style

V. Ho-Huu, S. Hartjes, H. G. Visser, R. Curran. An optimization framework for route design and allocation of aircraft to multiple departure routes. . 2019; ():1.

Chicago/Turabian Style

V. Ho-Huu; S. Hartjes; H. G. Visser; R. Curran. 2019. "An optimization framework for route design and allocation of aircraft to multiple departure routes." , no. : 1.

Journal article
Published: 02 May 2019 in Transportation Research Part D: Transport and Environment
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The paper first investigates the influence of daily mobility of population on evaluation of aircraft noise effects. Then, a new air traffic assignment model that considers this activity is proposed. The main objective is to reduce the number of people affected by noise via lowering as much as possible the noise exposure level Lden of individuals or groups of people who commute to the same locations during the day. It is hereby intended to reduce the noise impact upon individuals rather than to reduce the impact in particular – typically densely populated – areas. However, sending aircraft farther away from populated regions to reduce noise impact may increase fuel burn, thus affecting airline costs and sustainability. Therefore, a multi-objective optimization approach is utilized to obtain reasonable solutions that comply with overall air transport sustainability. The method aims at generating a set of solutions that provide proper balance between noise annoyance and fuel consumption. The reliability and applicability of the proposed method are validated through a real case study at Belgrade airport in Serbia. The investigation shows that there is a difference between the number of people annoyed (NPA) evaluated based on the census data and the NPA evaluated based on the mobility data. In addition, these numbers differ significantly across residential locations. The optimal results show that the proposed model can offer a considerable reduction in the NPA, and in some cases, it can gain up to 77%, while maintaining the same level of fuel consumption compared with the reference case.

ACS Style

Vinh Ho-Huu; Emir Ganić; Sander Hartjes; Obrad Babić; Richard Curran. Air traffic assignment based on daily population mobility to reduce aircraft noise effects and fuel consumption. Transportation Research Part D: Transport and Environment 2019, 72, 127 -147.

AMA Style

Vinh Ho-Huu, Emir Ganić, Sander Hartjes, Obrad Babić, Richard Curran. Air traffic assignment based on daily population mobility to reduce aircraft noise effects and fuel consumption. Transportation Research Part D: Transport and Environment. 2019; 72 ():127-147.

Chicago/Turabian Style

Vinh Ho-Huu; Emir Ganić; Sander Hartjes; Obrad Babić; Richard Curran. 2019. "Air traffic assignment based on daily population mobility to reduce aircraft noise effects and fuel consumption." Transportation Research Part D: Transport and Environment 72, no. : 127-147.

Journal article
Published: 04 April 2019 in International Journal of Computational Methods
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This paper proposes an effective couple method for solving reliability-based multi-objective optimization problems of truss structures with static and dynamic constraints. The proposed coupling method integrates a single-loop deterministic method (SLDM) into the nondominated sorting genetic algorithm II (NSGA-II) algorithm to give the so-called SLDM-NSGA-II. Thanks to the advantage of SLDM, the probabilistic constraints are treated as approximating deterministic constraints. And therefore the reliability-based multi-objective optimization problems can be transformed into the deterministic multi-objective optimization problems of which the computational cost is reduced significantly. In these reliability-based multi-objective optimization problems, the conflicting objective functions are to minimize the weight and the displacements of the truss. The design variables are cross-section areas of the bars and contraints include static and dynamic constraints. For reliability analysis, the effect of uncertainty of parameters such as force, added mass in the nodes, material properties and cross-section areas of the bars are taken into account. The effectiveness and reliability of the proposed method are demonstrated through three benchmark-type truss structures including a 10-bar planar truss, a 72-bar spatial truss and a 200-bar planar truss. Moreover, the influence of parameters on the reliability-based Pareto optimal fronts is also carried out.

ACS Style

T. Vo-Duy; D. Duong-Gia; V. Ho-Huu; T. Nguyen-Thoi. An Effective Couple Method for Reliability-Based Multi-Objective Optimization of Truss Structures with Static and Dynamic Constraints. International Journal of Computational Methods 2019, 17, 1 .

AMA Style

T. Vo-Duy, D. Duong-Gia, V. Ho-Huu, T. Nguyen-Thoi. An Effective Couple Method for Reliability-Based Multi-Objective Optimization of Truss Structures with Static and Dynamic Constraints. International Journal of Computational Methods. 2019; 17 (6):1.

Chicago/Turabian Style

T. Vo-Duy; D. Duong-Gia; V. Ho-Huu; T. Nguyen-Thoi. 2019. "An Effective Couple Method for Reliability-Based Multi-Objective Optimization of Truss Structures with Static and Dynamic Constraints." International Journal of Computational Methods 17, no. 6: 1.

Journal article
Published: 24 October 2018 in Water
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Parametric studies on the optimization of baffles on vibration suppression of partially filled tanks coupled by structure have been widely conducted in literature. However, few studies focus on the effect of the position of the baffles on fluid flow stratification and dampening the motion. In the present study, a numerical investigation, an engineering analysis, and optimal design study were performed to determine the effect of external flow on circular obstacle baffles performance on suppressing the vibrations of coupled structure in a closed basin. The single degree of freedom model (mass–spring–damper) is used to model the structure that holds the tank. The coupled system is released from an initial displacement without a velocity. The governing mass, turbulent Navier–Stokes momentum, volume of fluid, and one degree of freedom structure equations are solved by the Pressure-Implicit with Splitting of Operators algorithm in fluids and Newmark method in structure. Based on a detailed study of transient structure motion coupled with sloshing dynamics, the optimal baffle location was achieved. Optimal position of the baffle and its width are systematically obtained with reference to the quiescent free surface.

ACS Style

Mohammad Yaghoub Abdollahzadeh Jamalabadi; Vinh Ho-Huu; Truong Khang Nguyen. Optimal Design of Circular Baffles on Sloshing in a Rectangular Tank Horizontally Coupled by Structure. Water 2018, 10, 1504 .

AMA Style

Mohammad Yaghoub Abdollahzadeh Jamalabadi, Vinh Ho-Huu, Truong Khang Nguyen. Optimal Design of Circular Baffles on Sloshing in a Rectangular Tank Horizontally Coupled by Structure. Water. 2018; 10 (11):1504.

Chicago/Turabian Style

Mohammad Yaghoub Abdollahzadeh Jamalabadi; Vinh Ho-Huu; Truong Khang Nguyen. 2018. "Optimal Design of Circular Baffles on Sloshing in a Rectangular Tank Horizontally Coupled by Structure." Water 10, no. 11: 1504.

Journal article
Published: 04 September 2018 in International Journal of Computational Methods
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Proper generalized decomposition (PGD), a method looking for solutions in separated forms, was proposed recently for solving highly multidimensional problems. In the PGD, the unknown fields are constructed using separated representations, so that the computational complexity scales linearly with the dimension of the model space instead of exponential scaling as in standard grid-based methods. The PGD was proven to be effective, reliable and robust for some simple benchmark fluid–structure interaction (FSI) problems. However, it is very hard or even impossible for the PGD to find the solution of problems having complex boundary shapes (i.e., problems of fluid flow with arbitrary complex geometry obstacles). The paper hence further extends the PGD to solve FSI problems with arbitrary boundaries by combining the PGD with the immersed boundary method (IBM) to give a so-called immersed boundary proper generalized decomposition (IB-PGD). In the IB-PGD, a forcing term constructed by the IBM is introduced to Navier–Stokes equations to handle the influence of the boundaries and the fluid flow. The IB-PGD is then applied to solve Poisson’s equation to find the fluid pressure distribution for each time step. The numerical results for three problems are presented and compared to those of previous publications to illustrate the robustness and effectiveness of the IB-PGD in solving complex FSI problems.

ACS Style

C. Le-Quoc; Linh LE; Vinh Ho-Huu; P. D. Huynh; T. Nguyen-Thoi. An Immersed Boundary Proper Generalized Decomposition (IB-PGD) for Fluid–Structure Interaction Problems. International Journal of Computational Methods 2018, 15, 1 .

AMA Style

C. Le-Quoc, Linh LE, Vinh Ho-Huu, P. D. Huynh, T. Nguyen-Thoi. An Immersed Boundary Proper Generalized Decomposition (IB-PGD) for Fluid–Structure Interaction Problems. International Journal of Computational Methods. 2018; 15 (6):1.

Chicago/Turabian Style

C. Le-Quoc; Linh LE; Vinh Ho-Huu; P. D. Huynh; T. Nguyen-Thoi. 2018. "An Immersed Boundary Proper Generalized Decomposition (IB-PGD) for Fluid–Structure Interaction Problems." International Journal of Computational Methods 15, no. 6: 1.

Journal article
Published: 18 July 2018 in Applied Soft Computing
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This paper investigates the dynamic parametric identification of the uncertain inverted pendulum system perturbed with friction by using an adaptive differential evolution (ADE) algorithm. In ADE approach, the initiation is realized in the mutant step with a new mutation scheme, namely adaptive mutant structure, contained multi-mutant vectors including ‘best/1’ and ‘best/2’ or ‘rand/1’ and ‘rand/2’ for selecting target vectors in population. The modification that aims to equalize between global exploration and local exploitation capacities which helps to effectively search global potential optimum solutions. The performance of ADE algorithm is compared with those of standard differential evolution (DE), particle swarm optimization (PSO) and genetic algorithm (GA). Furthermore, the identification results are applied to design a swing-up and balancing controller for the inverted pendulum system perturbed with friction. The sliding mode controller is used to swing up the inverted pendulum system to the top equilibrium position, and the LQR controller is initially applied for balancing and control the position of the first link of the inverted Pendulum in the downright position. The experimental results demonstrate that the proposed approach can accurately identify and robust control such nonlinear dynamic systems.

ACS Style

Ho Pham Huy Anh; Nguyen Ngoc Son; Cao Van Kien; Vinh Ho-Huu. Parameter identification using adaptive differential evolution algorithm applied to robust control of uncertain nonlinear systems. Applied Soft Computing 2018, 71, 672 -684.

AMA Style

Ho Pham Huy Anh, Nguyen Ngoc Son, Cao Van Kien, Vinh Ho-Huu. Parameter identification using adaptive differential evolution algorithm applied to robust control of uncertain nonlinear systems. Applied Soft Computing. 2018; 71 ():672-684.

Chicago/Turabian Style

Ho Pham Huy Anh; Nguyen Ngoc Son; Cao Van Kien; Vinh Ho-Huu. 2018. "Parameter identification using adaptive differential evolution algorithm applied to robust control of uncertain nonlinear systems." Applied Soft Computing 71, no. : 672-684.

Journal article
Published: 17 July 2018 in Transportation Research Part D: Transport and Environment
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This paper presents a new multi-objective optimization formulation for the design and allocation of optimal aircraft departure routes. In the considered problem – besides two conventional objectives based on cumulative noise criteria and fuel burn – a new objective considering the flight frequency is introduced. Moreover, to take advantage of the combination of designing new routes and allocating flights to these routes, two different routes are considered simultaneously, and the distribution of flights over these two routes is addressed in parallel. Then, a new version of the so-called MOEA/D optimization algorithm is developed to solve the formulated optimization problem. Two different case studies, one at Rotterdam The Hague Airport and one at Amsterdam Airport Schiphol in The Netherlands, are carried out to evaluate the reliability and applicability of the proposed approach. The obtained results reveal that the proposed approach can provide solutions which can balance more effectively the concerned metrics such as the number of annoyed people, fuel burn, number of people exposed to certain noise levels, and number of aircraft movements which people are subjected to.

ACS Style

V. Ho-Huu; S. Hartjes; H.G. Visser; R. Curran. Integrated design and allocation of optimal aircraft departure routes. Transportation Research Part D: Transport and Environment 2018, 63, 689 -705.

AMA Style

V. Ho-Huu, S. Hartjes, H.G. Visser, R. Curran. Integrated design and allocation of optimal aircraft departure routes. Transportation Research Part D: Transport and Environment. 2018; 63 ():689-705.

Chicago/Turabian Style

V. Ho-Huu; S. Hartjes; H.G. Visser; R. Curran. 2018. "Integrated design and allocation of optimal aircraft departure routes." Transportation Research Part D: Transport and Environment 63, no. : 689-705.

Journal article
Published: 01 July 2018 in Expert Systems with Applications
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Over the past decades, the reliability-based design optimization of truss structures has been still a major challenge for engineering designers and even for researchers because of its complexities and high computational cost. In this paper, a new approach based on a novel combination of multi-objective evolutionary optimization and reliability analysis is proposed to deal with such kinds of problems. The proposed method consists of two separate steps. First, a multi-objective design optimization problem is formulated and solved by a multi-objective evolutionary optimization algorithm. Secondly, reliability analysis problems are formed by taking into account the uncertainty of input data of the problem, and a reliability analysis method is used to evaluate the reliability of all solutions obtained at the first step. Based on the obtained reliability, the suitable optimal solutions with a certain level of reliability can be readily identified. The approach has some advantages such as: 1) it can give a set of many optimal solutions with different levels of reliability by only one run; 2) it can easily handle the design optimization problems of truss structures with continuous, discrete or mixed continuous-discrete design variables; 3) it is quite simple for engineering designers to understand and implement. To demonstrate the efficiency and applicability of the proposed method, three examples of truss structures are carried out, and the obtained results are compared to those available in the literature. The acquired results reveal that the proposed approach is reliable and more competitive compared to other methods.

ACS Style

V. Ho-Huu; D. Duong-Gia; T. Vo-Duy; Thang Le; T. Nguyen-Thoi. An efficient combination of multi-objective evolutionary optimization and reliability analysis for reliability-based design optimization of truss structures. Expert Systems with Applications 2018, 102, 262 -272.

AMA Style

V. Ho-Huu, D. Duong-Gia, T. Vo-Duy, Thang Le, T. Nguyen-Thoi. An efficient combination of multi-objective evolutionary optimization and reliability analysis for reliability-based design optimization of truss structures. Expert Systems with Applications. 2018; 102 ():262-272.

Chicago/Turabian Style

V. Ho-Huu; D. Duong-Gia; T. Vo-Duy; Thang Le; T. Nguyen-Thoi. 2018. "An efficient combination of multi-objective evolutionary optimization and reliability analysis for reliability-based design optimization of truss structures." Expert Systems with Applications 102, no. : 262-272.

Accepted manuscript
Published: 08 June 2018 in Smart Materials and Structures
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Magnetorheological brakes (MRBs) have a great potential for replacing conventional hydraulic disc-type brakes in motorcycling applications because of some intelligent characteristics of magnetorheological fluids (MRFs). In the design process, designers have to investigate many influenced factors simultaneously; however, it is hard to consider them completely because of their trade-off benefits which affect significantly to the performance of MRBs. Thus, in this paper, a multi-objective optimization procedure that combines Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II), a robust multi-objective optimization method combined with finite element analysis (FEA) is proposed to help designers for evaluating the interactive relations of different design objectives. In detail, the above approach focuses on obtaining the Pareto optimal solutions with two common objectives in design MRBs: maximizing the braking torque and minimizing the brake mass. The brakes in this study are investigated with different configurations including the conventional and the side-coil MRBs with various shapes of housings. On the other hands, the rigorous heating effects acting on MRBs restrict their capacity in motorcycling applications. Therefore, a thermal analysis model for off-state and on-state conditions of MRBs is also proposed in this study and the temperature of MRF in the brakes is constrained lower than a critical value in the multi-objective optimal design. Based on the proposed procedure, the Pareto set of MRBs and relative solutions are achieved and some trade-offs between two design goals are investigated with some further explanations. Moreover, the comparisons among investigated MRBs are debated and some discussions on the performance of optimal MRBs are described to help designers for decision making.

ACS Style

Thang Le; Vinh Ho-Huu; Hung Nguyen-Quoc. Multi-objective optimal design of magnetorheological brakes for motorcycling application considering thermal effect in working process. Smart Materials and Structures 2018, 27, 075060 .

AMA Style

Thang Le, Vinh Ho-Huu, Hung Nguyen-Quoc. Multi-objective optimal design of magnetorheological brakes for motorcycling application considering thermal effect in working process. Smart Materials and Structures. 2018; 27 (7):075060.

Chicago/Turabian Style

Thang Le; Vinh Ho-Huu; Hung Nguyen-Quoc. 2018. "Multi-objective optimal design of magnetorheological brakes for motorcycling application considering thermal effect in working process." Smart Materials and Structures 27, no. 7: 075060.

Journal article
Published: 30 March 2018 in Inverse Problems in Science and Engineering
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ACS Style

Du Dinh-Cong; T. Vo-Duy; Vinh Ho-Huu; T. Nguyen-Thoi. Damage assessment in plate-like structures using a two-stage method based on modal strain energy change and Jaya algorithm. Inverse Problems in Science and Engineering 2018, 27, 166 -189.

AMA Style

Du Dinh-Cong, T. Vo-Duy, Vinh Ho-Huu, T. Nguyen-Thoi. Damage assessment in plate-like structures using a two-stage method based on modal strain energy change and Jaya algorithm. Inverse Problems in Science and Engineering. 2018; 27 (2):166-189.

Chicago/Turabian Style

Du Dinh-Cong; T. Vo-Duy; Vinh Ho-Huu; T. Nguyen-Thoi. 2018. "Damage assessment in plate-like structures using a two-stage method based on modal strain energy change and Jaya algorithm." Inverse Problems in Science and Engineering 27, no. 2: 166-189.

Research article
Published: 27 March 2018 in Frontiers of Structural and Civil Engineering
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In the present study, the free vibration of laminated functionally graded carbon nanotube reinforced composite beams is analyzed. The laminated beam is made of perfectly bonded carbon nanotubes reinforced composite (CNTRC) layers. In each layer, single-walled carbon nanotubes are assumed to be uniformly distributed (UD) or functionally graded (FG) distributed along the thickness direction. Effective material properties of the two-phase composites, a mixture of carbon nanotubes (CNTs) and an isotropic polymer, are calculated using the extended rule of mixture. The first-order shear deformation theory is used to formulate a governing equation for predicting free vibration of laminated functionally graded carbon nanotubes reinforced composite (FG-CNTRC) beams. The governing equation is solved by the finite element method with various boundary conditions. Several numerical tests are performed to investigate the influence of the CNTs volume fractions, CNTs distributions, CNTs orientation angles, boundary conditions, length-to-thickness ratios and the numbers of layers on the frequencies of the laminated FG-CNTRC beams. Moreover, a laminated composite beam combined by various distribution types of CNTs is also studied.

ACS Style

Trung Vo-Duy; Vinh Ho-Huu; Trung Nguyen-Thoi. Free vibration analysis of laminated FG-CNT reinforced composite beams using finite element method. Frontiers of Structural and Civil Engineering 2018, 13, 324 -336.

AMA Style

Trung Vo-Duy, Vinh Ho-Huu, Trung Nguyen-Thoi. Free vibration analysis of laminated FG-CNT reinforced composite beams using finite element method. Frontiers of Structural and Civil Engineering. 2018; 13 (2):324-336.

Chicago/Turabian Style

Trung Vo-Duy; Vinh Ho-Huu; Trung Nguyen-Thoi. 2018. "Free vibration analysis of laminated FG-CNT reinforced composite beams using finite element method." Frontiers of Structural and Civil Engineering 13, no. 2: 324-336.

Conference paper
Published: 21 February 2018 in Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020)
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Stiffened composite plates have been widely used in many engineering areas including construction, shipbuilding, and aircraft. And so, the demand of optimizing the design of stiffened composite plate has also been rising. In this paper, a so-called ABDE (ANN-based differential evolution) algorithm is introduced to search for the optimal design of stiffened composite plates. The new algorithm is the combination of the artificial neural network (ANN) and an improved differential evolution (DE) algorithm in solving optimization problems. In this technique, the ANN helps to quickly compute the respond of the structure, which is used in constraint handling step or finding the value of an objective function of DE algorithm. This helps to decrease the cost and increase the speed of convergence effectively.

ACS Style

T. Lam-Phat; S. Nguyen-Hoai; V. Ho-Huu; Q. Nguyen; T. Nguyen-Thoi. An Artificial Neural Network-Based Optimization of Stiffened Composite Plate Using A New Adjusted Differential Evolution Algorithm. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) 2018, 229 -242.

AMA Style

T. Lam-Phat, S. Nguyen-Hoai, V. Ho-Huu, Q. Nguyen, T. Nguyen-Thoi. An Artificial Neural Network-Based Optimization of Stiffened Composite Plate Using A New Adjusted Differential Evolution Algorithm. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). 2018; ():229-242.

Chicago/Turabian Style

T. Lam-Phat; S. Nguyen-Hoai; V. Ho-Huu; Q. Nguyen; T. Nguyen-Thoi. 2018. "An Artificial Neural Network-Based Optimization of Stiffened Composite Plate Using A New Adjusted Differential Evolution Algorithm." Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) , no. : 229-242.

Original articles
Published: 12 February 2018 in Engineering Optimization
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A single-loop deterministic method (SLDM) has previously been proposed for solving reliability-based design optimization (RBDO) problems. In SLDM, probabilistic constraints are converted to approximate deterministic constraints. Consequently, RBDO problems can be transformed into approximate deterministic optimization problems, and hence the computational cost of solving such problems is reduced significantly. However, SLDM is limited to continuous design variables, and the obtained solutions are often trapped into local extrema. To overcome these two disadvantages, a global single-loop deterministic approach is developed in this article, and then it is applied to solve the RBDO problems of truss structures with both continuous and discrete design variables. The proposed approach is a combination of SLDM and improved differential evolution (IDE). The IDE algorithm is an improved version of the original differential evolution (DE) algorithm with two improvements: a roulette wheel selection with stochastic acceptance and an elitist selection technique. These improvements are applied to the mutation and selection phases of DE to enhance its convergence rate and accuracy. To demonstrate the reliability, efficiency and applicability of the proposed method, three numerical examples are executed, and the obtained results are compared with those available in the literature.

ACS Style

V. Ho-Huu; T. Le-Duc; L. Le-Anh; T. Vo-Duy; T. Nguyen-Thoi. A global single-loop deterministic approach for reliability-based design optimization of truss structures with continuous and discrete design variables. Engineering Optimization 2018, 50, 2071 -2090.

AMA Style

V. Ho-Huu, T. Le-Duc, L. Le-Anh, T. Vo-Duy, T. Nguyen-Thoi. A global single-loop deterministic approach for reliability-based design optimization of truss structures with continuous and discrete design variables. Engineering Optimization. 2018; 50 (12):2071-2090.

Chicago/Turabian Style

V. Ho-Huu; T. Le-Duc; L. Le-Anh; T. Vo-Duy; T. Nguyen-Thoi. 2018. "A global single-loop deterministic approach for reliability-based design optimization of truss structures with continuous and discrete design variables." Engineering Optimization 50, no. 12: 2071-2090.

Journal article
Published: 01 February 2018 in Expert Systems with Applications
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The multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been recognized as a promising method for solving multi-objective optimization problems (MOPs), receiving a lot of attention from researchers in recent years. However, its performance in handling MOPs with complicated Pareto fronts (PFs) is still limited, especially for real-world applications whose PFs are often complex featuring, e.g., a long tail or a sharp peak. To deal with this problem, an improved MOEA/D (named iMOEA/D) that mainly focuses on bi-objective optimization problems (BOPs) is therefore proposed in this paper. To demonstrate the capabilities of iMOEA/D, it is applied to design optimization problems of truss structures. In iMOEA/D, the set of the weight vectors defined in MOEA/D is numbered and divided into two subsets: one set with odd-weight vectors and the other with even-weight vectors. Then, a two-phase search strategy based on the MOEA/D framework is proposed to optimize their corresponding populations. Furthermore, in order to enhance the total performance of iMOEA/D, some recent developments for MOEA/D, including an adaptive replacement strategy and a stopping criterion, are also incorporated. The reliability, efficiency and applicability of iMOEA/D are investigated through seven existing benchmark test functions with complex PFs and three optimal design problems of truss structures. The obtained results reveal that iMOEA/D generally outperforms MOEA/D and NSGA-II in both benchmark test functions and real-world applications.

ACS Style

V. Ho-Huu; S. Hartjes; H.G. Visser; R. Curran. An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization. Expert Systems with Applications 2018, 92, 430 -446.

AMA Style

V. Ho-Huu, S. Hartjes, H.G. Visser, R. Curran. An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization. Expert Systems with Applications. 2018; 92 ():430-446.

Chicago/Turabian Style

V. Ho-Huu; S. Hartjes; H.G. Visser; R. Curran. 2018. "An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization." Expert Systems with Applications 92, no. : 430-446.

Journal article
Published: 01 January 2018 in Transportation Research Procedia
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Recently, a multi-objective evolutionary algorithm based on decomposition (MOEA/D) has emerged as a potential method for solving multi-objective optimization problems (MOPs) and attracted much attention from researchers. In MOEA/D, the MOPs are decomposed into a number of scalar optimization sub-problems, and these sub-problems are optimized concurrently by only utilizing the information from their neighboring sub-problems. Thanks to these advantages, MOEA/D has demonstrated to be more efficient than the non-dominated sorting genetic algorithm II (NSGA-II) and other methods. However, its applications to practical problems are still limited, especially in the domain of aerospace engineering. Therefore, this paper aims to present a new application of MOEA/D for the optimal design of noise abatement aircraft terminal routes. First, in order to optimize aircraft noise for aircraft terminal routes while taking into account the interests of various stakeholders, bi-objective optimization problems including noise and fuel consumption are formulated, in which both the ground track and vertical profile of a terminal route are optimized simultaneously. Then, MOEA/D is applied to solve these problems. Furthermore, to ensure the design space of vertical profiles is always feasible during the optimization process, a trajectory parameterization technique recently proposed is also used. This technique aims at reducing the number of model evaluations of MOEA/D and hence the computational cost will decrease significantly. The efficiency and reliability of the developed method are evaluated through case studies for departure and arrival routes at Rotterdam The Hague Airport in the Netherlands.

ACS Style

V. Ho-Huu; S. Hartjes; L.H. Geijselaers; H.G. Visser; R. Curran. Optimization of noise abatement aircraft terminal routes using a multi-objective evolutionary algorithm based on decomposition. Transportation Research Procedia 2018, 29, 157 -168.

AMA Style

V. Ho-Huu, S. Hartjes, L.H. Geijselaers, H.G. Visser, R. Curran. Optimization of noise abatement aircraft terminal routes using a multi-objective evolutionary algorithm based on decomposition. Transportation Research Procedia. 2018; 29 ():157-168.

Chicago/Turabian Style

V. Ho-Huu; S. Hartjes; L.H. Geijselaers; H.G. Visser; R. Curran. 2018. "Optimization of noise abatement aircraft terminal routes using a multi-objective evolutionary algorithm based on decomposition." Transportation Research Procedia 29, no. : 157-168.

Research article
Published: 02 November 2017 in Journal of Composite Materials
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The paper presents an efficient numerical optimization approach to deal with the optimization problem for maximizing the fundamental frequency of laminated functionally graded carbon nanotube-reinforced composite quadrilateral plates. The proposed approach is a combination of the cell-based smoothed discrete shear gap method (CS-DSG3) for analyzing the first natural frequency of the functionally graded carbon nanotube reinforced composite plates and a global optimization algorithm, namely adaptive elitist differential evolution algorithm (aeDE), for solving the optimization problem. The design variables are the carbon nanotube orientation in the layers and constrained in the range of integer numbers belonging to [−900 900]. Several numerical examples are presented to investigate optimum design of quadrilateral laminated functionally graded carbon nanotube reinforced composite plates with various parameters such as carbon nanotube distribution, carbon nanotube volume fraction, boundary condition and number of layers.

ACS Style

Trung Vo-Duy; T Truong-Thi; Vinh Ho-Huu; T Nguyen-Thoi. Frequency optimization of laminated functionally graded carbon nanotube reinforced composite quadrilateral plates using smoothed FEM and evolution algorithm. Journal of Composite Materials 2017, 52, 1971 -1986.

AMA Style

Trung Vo-Duy, T Truong-Thi, Vinh Ho-Huu, T Nguyen-Thoi. Frequency optimization of laminated functionally graded carbon nanotube reinforced composite quadrilateral plates using smoothed FEM and evolution algorithm. Journal of Composite Materials. 2017; 52 (14):1971-1986.

Chicago/Turabian Style

Trung Vo-Duy; T Truong-Thi; Vinh Ho-Huu; T Nguyen-Thoi. 2017. "Frequency optimization of laminated functionally graded carbon nanotube reinforced composite quadrilateral plates using smoothed FEM and evolution algorithm." Journal of Composite Materials 52, no. 14: 1971-1986.

Journal article
Published: 01 November 2017 in Aerospace
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In an effort to allow to increase the number of aircraft and airport operations while mitigating their negative impacts (e.g., noise and pollutant emission) on near-airport communities, the optimal design of new departure routes with less noise and fuel consumption becomes more important. In this paper, a multi-objective evolutionary algorithm based on decomposition (MOEA/D), which recently emerged as a potential method for solving multi-objective optimization problems (MOPs), is developed for this kind of problem. First, to minimize aircraft noise for departure routes while taking into account the interests of various stakeholders, bi-objective optimization problems involving noise and fuel consumption are formulated where both the ground track and vertical profile of a departure route are optimized simultaneously. Second, in order to make the design space of vertical profiles feasible during the optimization process, a trajectory parameterization technique recently proposed is employed. Furthermore, some modifications to MOEA/D that are aimed at significantly reducing the computational cost are also introduced. Two different examples of departure routes at Schiphol Airport in the Netherlands are shown to demonstrate the applicability and reliability of the proposed method. The simulation results reveal that the proposed method is an effective and efficient approach for solving this kind of problem.

ACS Style

Vinh Ho-Huu; Sander Hartjes; Hendrikus G. Visser; Richard Curran. An Efficient Application of the MOEA/D Algorithm for Designing Noise Abatement Departure Trajectories. Aerospace 2017, 4, 54 .

AMA Style

Vinh Ho-Huu, Sander Hartjes, Hendrikus G. Visser, Richard Curran. An Efficient Application of the MOEA/D Algorithm for Designing Noise Abatement Departure Trajectories. Aerospace. 2017; 4 (4):54.

Chicago/Turabian Style

Vinh Ho-Huu; Sander Hartjes; Hendrikus G. Visser; Richard Curran. 2017. "An Efficient Application of the MOEA/D Algorithm for Designing Noise Abatement Departure Trajectories." Aerospace 4, no. 4: 54.

Journal article
Published: 01 November 2017 in Journal of Constructional Steel Research
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ACS Style

Linh LE; T. Bui-Vinh; Vinh Ho-Huu; T. Nguyen-Thoi. An efficient coupled numerical method for reliability-based design optimization of steel frames. Journal of Constructional Steel Research 2017, 138, 389 -400.

AMA Style

Linh LE, T. Bui-Vinh, Vinh Ho-Huu, T. Nguyen-Thoi. An efficient coupled numerical method for reliability-based design optimization of steel frames. Journal of Constructional Steel Research. 2017; 138 ():389-400.

Chicago/Turabian Style

Linh LE; T. Bui-Vinh; Vinh Ho-Huu; T. Nguyen-Thoi. 2017. "An efficient coupled numerical method for reliability-based design optimization of steel frames." Journal of Constructional Steel Research 138, no. : 389-400.