Article
Green & Sustainable Science & Technology
Yaohua Zhao, Zichu Liu, Zhenhua Quan, Heran Jing, Mingguang Yang
Summary: The effect of different temperatures and flow rates of heat transfer fluid on the performance of an ice thermal storage device was experimentally investigated. Results showed that reducing the temperature of the cold fluid shortened the super-cooling process, reduced freezing time, and increased storage power. Additionally, predictive models were developed using numerical simulation and response surface method to study the effects of design parameters on the device behavior.
Article
Computer Science, Information Systems
Shaaban Sahmoud, Haluk Rahmi Topcuoglu
Summary: This paper investigates the issue of uncertainty in real-world multi-objective optimization problems, specifically focusing on stochastic noise and different forms of dynamism. To address this, the authors propose a flexible mechanism that incorporates noise into dynamic multi-objective optimization problems, along with two novel techniques to distinguish between real changes and noise points. Experimental results demonstrate the effectiveness of these techniques in isolating noise from real dynamic changes and minimizing the impact of noise on performance.
INFORMATION SCIENCES
(2023)
Article
Thermodynamics
Ya Ge, Yousheng Lin, Shi Tao, Qing He, Baiman Chen, Si-Min Huang
Summary: This study presents an optimal shape design for a tube bank in turbulent flow using multi-objective genetic algorithm and computational fluid dynamics software. The results show that the optimal solution can increase heat flux by 7.6% without additional flow resistance or reduce pressure drop by 27% without heat transfer deterioration. Additionally, the best compromise solution is determined using TOPSIS method, showing that reducing flow resistance may better improve the overall performance of staggered arrangement tube banks.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiaoli Shu, Yanmin Liu, Jun Liu, Meilan Yang, Qian Zhang
Summary: This paper proposes a multi-objective particle swarm optimization algorithm (D-MOPSO) to solve complex multi-objective optimization problems in the real world. It addresses the lack of convergence and diversity in traditional optimization methods and makes use of existing resources in the search process. D-MOPSO dynamically adjusts the population size based on the resources in the archive, improves particle exploration through local perturbations, and controls population size through non-dominated sorting and population density.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Elaine Guerrero-Pena, Aluizio F. R. Araujo
Summary: Dynamic multi-objective evolutionary algorithms can address multi-objective optimization problems by predicting and responding to changes, with prediction-based methods showing promise. Through the use of objective space prediction strategy and change reaction mechanism, the proposed DOSP-NSDE demonstrates competitiveness in experiments.
APPLIED SOFT COMPUTING
(2021)
Article
Thermodynamics
Dayu Zhang, Penghua Guo, Qiao Hu, Jingyin Li
Summary: A new type of ductless Archimedes screw turbine is proposed to improve the startup performance of low-speed current systems. The study investigates the parametric sensitivity of key geometrical parameters using an experimentally verified numerical method. Multi-objective optimization is performed to enhance the turbine's self-starting ability and power coefficient. Water flume experiment results demonstrate significant improvements in the optimized turbine's performance.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Namhee Ryu, Kwang Hyeon Hwang, Jong Ho Park, Seungjae Min
Summary: This paper presents a multi-objective topology optimization process for the body structure of the suspension mounting point to determine the optimum configuration that reduces the acceleration under external dynamic loads. It discusses the challenges in determining the optimum reinforcing bracket configurations due to discontinuous material distribution and ambiguous design variables, especially when considering dynamic loads. The systematic approach used in the study considers both dynamic and static loads simultaneously to derive a continuous design that is suitable for manufacturability and improves overall vehicle acceleration within a limited amount of material.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Chemistry, Physical
Houyao Zhu, Zhixin Li, Ruikun Wang, Shouyan Chen, Chunliang Zhang, Fangyi Li
Summary: This study utilized two identical Miura sheets made of carbon fiber/epoxy resin composite to create an origami tube, and extensively investigated the dynamic performances through numerical simulations. The outcomes revealed that the natural frequency and dynamic displacement response of the structure can be adjusted in a wider range by varying parameters, realized by combining origami techniques and composite structures' characteristics.
Article
Computer Science, Information Systems
Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin
Summary: This study proposes a benchmark generator for online dynamic single-objective and multi-objective optimization problems. It adjusts the influence of solutions found in each environment on the problems in the next environment through different types of functions and predefined parameters, and suggests a test suite consisting of continuous and discrete online dynamic optimization problems. The proposed OL-DOP test suite exhibits time-deception compared to existing benchmark test suites and evaluates the ability of dynamic optimization algorithms to tackle the influence of solutions on successive environment problems.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Fei Zou, Gary G. Yen, Lixin Tang, Chunfeng Wang
Summary: Dynamic Multi-objective Optimization Problem (DMOP) is a major real-world optimization problem, and efficiently tracking the movement of Pareto front over time is crucial. This paper introduces RL-DMOEA, a reinforcement learning-based dynamic multi-objective evolutionary algorithm, which effectively improves convergence and diversity of the algorithm by adapting to different severity of environmental changes through three response mechanisms.
INFORMATION SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Amin Shahsavar, Ali Jahangiri, Amir Qatarani Nejad, Gholamreza Ahmadi, Alireza Karamzadeh Dizaji
Summary: The study investigates the feasibility of replacing water bath heater and pressure relief valve with a hybrid vortex tube-photovoltaic/thermal system in pressure reduction stations. The system can effectively reduce natural gas pressure and generate electricity, leading to reduced CO2 emission.
Article
Computer Science, Artificial Intelligence
Xiangsong Kong, Yongkuan Yang, Zhisheng Lv, Jing Zhao, Rong Fu
Summary: This paper proposes a dynamic dual-population co-evolution multi-objective evolutionary algorithm (DDCMEA) to address the issue of balancing feasibility, convergence, and diversity in constrained multi-objective optimization problems. DDCMEA employs a dynamic dual-population co-evolution strategy to balance convergence and feasibility by adjusting the offspring number of the two populations. In the early stage, the algorithm focuses on convergence and generates more offspring of the first population, while in the late stage, it focuses on feasibility and generates more offspring of the second population. The results show that DDCMEA achieves competitive performance in handling constrained multi-objective optimization problems.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
Linjie Wu, Di Wu, Tianhao Zhao, Xingjuan Cai, Liping Xie
Summary: Dynamic multi-objective optimization problems are characterized by objective changes with changes in the environment. To solve this problem, a transfer learning approach is used to continuously adapt to environmental changes and reuse valuable knowledge from the past. This paper proposes a novel knowledge transfer method for the dynamic multi-objective evolutionary algorithm (T-DMOEA), which effectively tracks knee points after environmental changes and reuses suboptimal solutions using manifold transfer learning technique, resulting in high-quality solutions and faster convergence.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Seyed Ruhollah Kamali, Touraj Banirostam, Homayun Motameni, Mohammad Teshnehlab
Summary: This research proposes an immune inspired multi-agent system (IMAS) for solving optimization problems in dynamic and multi-objective environments. The IMAS uses artificial immune system metaphors to shape the local behaviors of agents and adapt to environmental changes. It outperforms six state-of-the-art algorithms in various benchmark problems, indicating its superiority.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yulong Ye, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li, Zhong Ming
Summary: This paper proposes a knowledge-guided Bayesian classification method for DMOEA, which achieves robust prediction by fully exploiting the information from all historical environments. The experimental results on multiple DMOPs test suits demonstrate that KGB-DMOEA is superior to several state-of-the-art DMOEAs.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Hongxin Wang, Jie Liu, Guilin Wen
Summary: This article presents a MTOP approach based on the SIMP method, which can achieve high-resolution designs at low computational cost. The XFEM method is used to decouple the analysis mesh, material description, and nodal design variables, allowing for the generation of detailed geometrical features. By introducing a variation of the traditional sensitivity filter, a clear interface between material grids is obtained.
ENGINEERING OPTIMIZATION
(2022)
Article
Engineering, Mechanical
Liang Xue, Jie Liu, Guilin Wen, Hongxin Wang
Summary: The study developed an efficient topology optimization method based on SRCNN technique in the framework of SIMP, achieving high computational efficiency with a pooling strategy and utilizing a combined treatment method using 2D SRCNN to reduce computational costs for 3D problems.
FRONTIERS OF MECHANICAL ENGINEERING
(2021)
Article
Engineering, Mechanical
Guilin Wen, Junfeng He, Jie Liu, Yu Lin
Summary: This study aims to expand the effective displacement range of quasi-zero stiffness systems through a semi-active control strategy. A novel vibration isolation system based on oblique springs and a coil spring is proposed, along with a feedback displacement strategy for stiffness adjustment. Theoretical analysis and virtual prototype simulation results show significant advantages in low-frequency vibration isolation performance for the proposed system.
NONLINEAR DYNAMICS
(2021)
Article
Engineering, Multidisciplinary
Liang Xue, Guilin Wen, Hongxin Wang, Jie Liu
Summary: A novel optimization algorithm is proposed for eigenvector-based modal control and vibration suppression. The algorithm adjusts eigenvalues outside the excitation frequency band to suppress structural vibration, but it becomes increasingly difficult as the width of the excitation frequency band increases.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Manufacturing
Fangyi Li, Ruikun Wang, Zhijun Zheng, Jie Liu
Summary: This paper proposes a time-variant reliability analysis framework to predict the lifetime of lattice structures fabricated by selective laser melting. Through experimental samples and numerical simulations, it is found that this method is efficient and accurate.
VIRTUAL AND PHYSICAL PROTOTYPING
(2022)
Article
Computer Science, Interdisciplinary Applications
Hongxin Wang, Jie Liu, Guilin Wen
Summary: This paper investigates the stress concentration problem in damaged structures and proposes two topology optimization objectives, which are systematically compared and discussed through numerical examples.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Mechanical
Guilin Wen, Sidong Zhang, Hongxin Wang, Zhen-Pei Wang, Junfeng He, Zijie Chen, Jie Liu, Yi Min Xie
Summary: Noise reduction is crucial in engineering applications. A novel origami-based acoustic metamaterial (OBAM) with tunable and broad bandwidth sound-eliminating capacities is developed in this study. The OBAM's sound attenuation properties are extensively investigated through theoretical, numerical, and experimental methods, showing good consistency. The OBAM demonstrates powerful and broadband low-frequency sound elimination capacity at sub-wavelength.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Engineering, Mechanical
Gang Zhao, Guilin Wen, Jie Liu
Summary: Non-probabilistic models provide a convenient and economical way to quantify the uncertainties of engineering systems with limited data. However, dealing with time-varying uncertainties remains a key issue in the application of non-probabilistic methods to vibration problems. This study proposes a novel analysis method based on the interval process model to obtain dynamic response bounds and reliability indexes of vibration systems under time-varying uncertainties.
PROBABILISTIC ENGINEERING MECHANICS
(2022)
Article
Acoustics
Chunguan Lin, Guilin Wen, Hanfeng Yin, Zhen-Pei Wang, Jie Liu, Yi Min Xie
Summary: This study investigates the sound insulation performances of P- and G-type TPMS sandwich panels. The results show that TPMS sandwich panels have good sound suppression ability, and the G-type TPMS sandwich panel is significantly superior to the P-type in terms of sound insulation capacity.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Mechanical
Kaixian Liang, Dachang Zhu, Jie Liu
Summary: This paper presents a new method to construct spatial fully compliant parallel mechanisms by using topology optimization and constant motion transmission characteristic matrix. It solves the common input-output coupling problem and achieves higher motion accuracy and a linear mapping relationship between inputs and outputs.
MECHANISM AND MACHINE THEORY
(2023)
Article
Engineering, Mechanical
Junfeng He, Guilin Wen, Jie Liu
Summary: In this study, a design method for bionic hyper-redundant robots imitating the neck of birds is proposed, using the chicken as an example. The design involves the simulation of chicken cervical vertebrae using a bionic vertebrae unit (BVU) composed of springs and universal joint. The proposed robot, composed of four identical cervical segments, exhibits excellent flexibility and application potential.
ACTA MECHANICA SINICA
(2023)
Article
Materials Science, Multidisciplinary
Jie Liu, Zhongjie Yang, Guilin Wen, Zhen-Pei Wang, Yi Min Xie
Summary: A 2D contact mechanics model is developed to quantify the effect of wrinkling instability on the anti-biofouling performance of DE membranes. The anti-biofouling effect is characterized by the pull-off force between the wrinkled DE membrane and biofouling. The model investigates the influence of various parameters on the pull-off force, such as pre-stretch ratio, driving voltage, DE materials, and Young's modulus.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Jianhui Wang, Qijuan Gong, Kunfeng Huang, Zhi Liu, C. L. Philip Chen, Jie Liu
Summary: This paper proposes a control method for uncertain nonlinear systems with actuator failures. By using neural network adaptive control and nonlinear transformation function, the method achieves rapid convergence of system states and compensation for actuator failures when failures occur. Meanwhile, a finite-time event-triggered compensation control strategy is introduced to achieve rapid system stabilization and save network bandwidth.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Jie Liu, Zijie Chen, Guilin Wen, Junfeng He, Hongxin Wang, Liang Xue, Kai Long, Yi Min Xie
Summary: A flexible gripper based on the origami chomper principle is designed using origami technique and nonlinear topology optimization. It demonstrates exceptional gripping performance, as evidenced by experiments that measure gripping range, maximum gripping ratio, adaptability, and richer gripping characteristics through size scaling. This gripper can handle objects with varied textures and irregular shapes, and it can effectively grip objects across different scales through size scaling. This study paves the way for innovative high-performance designs of flexible grippers.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Mechanical
Zijie Chen, Guilin Wen, Hongxin Wang, Liang Xue, Jie Liu
Summary: A multi-resolution nonlinear topology optimization method based on the multiresolution design strategy and the additive hyperelasticity technique is proposed. This method significantly improves computational efficiency, overcomes convergence difficulties in solving NTO problems, and successfully handles high-resolution 3D complex NTO problems on a personal computer.
ACTA MECHANICA SINICA
(2022)
Article
Engineering, Civil
Jian Xue, Weiwei Zhang, Jing Wu, Chao Wang, Hongwei Ma
Summary: This study integrates a plate-type local resonator with varying free boundaries within a plate to convert the initial low-order global vibration modes into localized vibration modes. A novel semi-analytical method is proposed to analyze the free vibration of the plate with thickness and displacement discontinuities. The results show that by applying free boundary conditions, the low-order localized vibration frequencies can be significantly reduced without affecting the low-order global frequencies.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Merve Tunay
Summary: In recent years, there has been an increasing number of studies on the mechanical properties of sandwich structures manufactured with the Fused Deposition Modeling (FDM) method. However, there is still a lack of experimental data on the mechanical characteristics of FDM-manufactured sandwich structures under different thermal aging durations. In this experiment, the energy absorption capabilities of sandwich structures with different core geometries were investigated under various thermal aging durations. The results showed that the core topology significantly influenced the energy absorption abilities of the sandwich structures.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Zi-qin Jiang, Zi-yao Niu, Ai-Lin Zhang, Xue-chun Liu
Summary: This paper proposes a crosssection corrugated plate steel special-shaped column (CCSC) that improves the bearing capacity and overall stability of structural columns by using smaller material input. Through theoretical analysis and numerical simulation, the overall stability of the CCSC under axial compression is analyzed. The design method and suggestions for the stability of CCSC are put forward. Compared with conventional square steel tube columns, the CCSC has obvious advantages in overall stability and steel consumption.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Yong Zhang, Yangang Chen, Jixiang Li, Jiacheng Wu, Liang Qian, Yuanqiang Tan, Kunyuan Li, Guoyao Zeng
Summary: A hybrid TPMS method was proposed to develop a new TPMS structure, and the mechanical properties of different TPMS structures were studied experimentally and numerically. Results showed that the hybrid TPMS structure had higher energy absorption and lower load-carrying capacity fluctuation. Further investigations revealed that the topological shape and material distribution had significant influence on mechanical properties, and the hybrid additive TPMS structure exhibited significant crashworthiness advantage in in-plane crushing condition.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Tongfei Sun, Ye Liu, Kaoshan Dai, Alfredo Camara, Yujie Lu, Lijie Wang
Summary: This paper presents a series of experimental and numerical studies on the performance of a novel double-stage coupling damper (DSCD). The effects of damper configuration, friction-yield ratio (Rfy), and loading protocol on the hysteresis performance of the DSCD are investigated. The test results demonstrate that the arrangement of ribs in the DSCD increases its energy dissipation capacity. Numerical analysis reveals that the length of the friction mechanism and the clearance between the yield segment and the restraining system affect the energy dissipation and stability of the damper.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Jeonghwa Lee, Young Jong Kang
Summary: This study investigates the local buckling behavior and strength of I-shape structural sections by considering flange-web interactions through three-dimensional finite element analysis. The study provides a more reasonable estimation of local buckling strength by considering the ratio of flange-web slenderness and height-to-width ratio, and presents design equations for flange local and web-bend buckling coefficients.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Yizhe Chen, Wenfeng Xiang, Qingsong Zhang, Hui Wang, Lin Hua
Summary: This study investigates the surface modification of a nickel plate to improve the bonding strength with carbon fiber-reinforced plastics (CFRP). The results show that different surface modification methods, including sandblasting, coupling agent treatment, and compound coupling agent treatment, significantly enhance the bonding strength of CFRP/Ni joints. The research provides insights into improving the connection between nickel and CFRP, as well as other heterogeneous materials.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Agha Intizar Mehdi, Fengping Zhang, Moon-Young Kim
Summary: A spatial stability theory of mono-symmetric thin-walled steel beams pre-stressed by spatially inclined cables is derived and its validity is demonstrated through numerical examples. The effects of initial tension, deviator numbers, inclined cable profiles, and bonded/un-bonded conditions on lateral-torsional buckling of the pre-stressed beams are investigated, with a specific emphasis on the effects of increasing initial tension.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Teng Ma, Jinxiang Wang, Liangtao Liu, Heng Li, Kui Tang, Yangchen Gu, Yifan Zhang
Summary: The structural response of water-back plate under the combined action of shock wave and bubble loads at water depths of 1-300 m was numerically investigated using an arbitrary Lagrange-Euler method. The accuracy of the numerical model was validated by comparing with experimental and theoretical results. The influences of water depth and length-to-diameter ratio of the charge on the combined damage effect were analyzed. The results show that as water depth increases, the plastic deformation energy of the water-back plate decreases, and the permanent deformation mode changes from convex to concave. When the charge has a large length-to-diameter ratio, the plastic deformation energy of the radial plate is higher than that of the axial plate, and the difference decreases with increasing water depth. Increasing the length-to-diameter ratio enhances the combined damage effect in the radial direction in deep-water environments.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Qiu-Yun Li, Ben Young
Summary: This paper investigates the flexural performance of CFS zed section members bent about the neutral axis parallel to the flanges through experimental and numerical analysis. The results show that the current direct strength method generally provides conservative predictions for the flexural strength of unstiffened zed section members, but slightly unconservative design for edge-stiffened zed section beams. The nominal flexural strengths of zed section members with edge stiffeners were found to be underestimated by 17% to 21% on average. Modified DSM formulae are recommended for the design of CFS zed section beams.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Weinan Gao, Bo Song, Xueyan Chen, Guochang Lin, Huifeng Tan
Summary: This paper presents a precise method for predicting deformation in large-scale inflatable structures, utilizing finite element modeling and laser scanning technique. The study shows a good agreement between the predictive model and non-contact measurement results.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Fei Gao, Zongyi Wang, Rui Zhu, Zhenming Chen, Quanxi Ye, Yaqi Duan, Yunlong Jia, Qin Zhang
Summary: This research investigates the mechanical properties of high-strength ring groove rivet assemblies and the load resistances of riveted T-stubs. Experimental tests reveal that Grade 10.9 rivets have higher yield strength and strain, and lower ultimate strain, making them suitable for high-strength ring groove rivet connections. Increasing the rivet diameter benefits the T-stubs, while increasing the flange thickness is not always advantageous. The Eurocode 3 method is not suitable for T-stubs connected through ring groove rivets, while the Demonceau method is conservative.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Shangchun Jiang, Liangfeng Sun, Haifei Zhan, Zhuoqun Zheng, Xijian Peng, Chaofeng Lue
Summary: This study investigates the bending behavior of two-dimensional nanomaterials, diamane and its analogous structure TBGIB, through atomistic simulations. It reveals that diamane experiences structural failure under bending, while TBGIB bends elastically before undergoing structural failure. The study provides valuable insights for the application of these materials in flexible electronics.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Qiang Zhang, Jianian Wen, Qiang Han, Hanqing Zhuge, Yulong Zhou
Summary: In this study, the mechanical properties of Q690 steel H-section columns under bi-directional cyclic loads are investigated, considering the time-varying characteristics of corrosion. A refined finite element (FE) model is built to analyze the degradation of mechanical property and failure mechanisms of steel columns with different design parameters during the whole life-cycle. The study proposes a quantitative calculation method for the ultimate resistance and damage index of steel columns, taking into account the ageing effects. The findings emphasize the importance of considering the ageing effects of steel columns in seismic design.
THIN-WALLED STRUCTURES
(2024)
Article
Engineering, Civil
Yuda Hu, Qi Zhou, Tao Yang
Summary: The magneto-thermo-elastic coupled free vibration of functionally graded materials cylindrical shell is investigated in this study. The vibration equation in multi-physical field is established and solved using the Hamilton principle and the multi-scale method. The numerical results show that the natural frequency is influenced by various factors such as volume fraction index, initial amplitude, temperature, and magnetic induction intensity.
THIN-WALLED STRUCTURES
(2024)