Article
Engineering, Mechanical
Chong Xie, Dengfeng Wang, Ling Zong, Dewen Kong
Summary: A spatial lattice structure is proposed to improve the crashworthiness and energy absorption of structures. The structural performance is analyzed using a finite element model and the impact of geometric parameters on crashworthiness is investigated. Multi-objective optimization is carried out to determine the optimal lattice structure design, and the validity of the model and design is verified through experimental testing.
INTERNATIONAL JOURNAL OF IMPACT ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Shaoqiang Xu, Weiwei Li, Lin Li, Tao Li, Chicheng Ma
Summary: This paper proposes two types of hierarchical multi-cell tubes inspired by the self-similarity of Pinus sylvestris to enhance structural energy absorption performance. Finite element models are established to validate the crashworthiness performance and a theoretical model for mean crushing force is derived. The results show that the bionic hierarchical thin-walled tubes exhibit improved energy absorption characteristics and deformation mode with the increase of hierarchical sub-structures. Additionally, the energy absorption performance of corner self-similar tubes is better than edge self-similar tubes. Multiobjective optimization is conducted using the response surface method and genetic algorithm, leading to the obtention of a Pareto front diagram. This research provides a new idea for the crashworthiness design of thin-walled structures.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2022)
Article
Engineering, Multidisciplinary
Chong Xie, Dengfeng Wang, Ling Zong, Shuang Wang, Dewen Kong
Summary: This study proposes an energy-absorbing box with spatial lattice structure and multi-objective optimization method to improve lightweight and crashworthiness. A novel single-cell structure is replicated and arranged to form the spatial lattice structure. Mechanical properties of the material are tested, and a finite element model is established and verified by drop weight impact test. Four approximate models are used to fit different responses, and the combination with higher accuracy is determined. The optimal design of our model is obtained based on grey relational analysis coupling entropy weight method. The specific energy absorption is increased by 43.0% and mass is reduced by 27.4% compared to the initial lattice absorbing box.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Chemistry, Multidisciplinary
Tingting Wang, Mengchun Li, Dongchen Qin, Jiangyi Chen, Hongxia Wu
Summary: Materials with negative Poisson's ratio are attracting more and more attention from research scholars, especially in the field of fuel-efficient vehicles, due to their superior structural and mechanical properties. In this study, a new concave I-shaped honeycomb structure was established by integrating the re-entrant hexagon and the I-shaped beam structure, and its negative Poisson's ratio characteristics and energy absorption properties were investigated. The effect of structural parameters on the energy absorption characteristics was analyzed using a finite element model, and the optimal structure with better crashworthiness was obtained by optimizing the cell sizes.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Mechanical
Yong Peng, Tao Li, Chonghua Bao, Jing Zhang, Guoquan Xie, Honghao Zhang
Summary: This paper analyzes and compares the performances of a bionic dendritic furcal structure (BDFS) with different cross-sections and partings inspired by the furcal branch and bifurcation structure of neurons through numerical simulation. The simplified super folding element theory and experiments verify the effectiveness of the finite element models. A hybrid multi-stage optimization decision system is proposed to find the optimal structure and obtain the optimal parameter alternative. Comparisons and analyses of experiments and simulations are carried out to verify the effectiveness of the proposed method. The results show that BDFS with six furcal ribs and 3rd-order parting display the best comprehensive crashworthiness under the working condition of 10 m/s specified in EN15227 standard.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Peng Sun, Teng Yun, Zhe Chen
Summary: The close interaction between biomass waste disposal energy supply and multi-energy systems is proposed in a MEMG framework, with a focus on flexible regulation and optimization to minimize costs and maximize waste disposal.
Article
Computer Science, Artificial Intelligence
Ying Xu, Huan Zhang, Lei Huang, Rong Qu, Yusuke Nojima
Summary: This research investigates the grid-based decomposition methods in multi-objective optimization to address the issues of diversity and convergence. A new concept of Pareto Front grid and a statistical analysis-based nadir point estimation strategy are proposed to improve computational efficiency. Furthermore, a novel grid-based knee point selection method is proposed. Experimental analysis demonstrates the effectiveness of the proposed PFG-MOEA algorithm.
APPLIED SOFT COMPUTING
(2023)
Article
Materials Science, Multidisciplinary
Yi Tao, Yonghui Wang, Qiang He, Daoming Xu, Lizheng Li
Summary: The application of foam and honeycomb materials in energy absorbing devices was studied, and the crashworthiness of different filling structures was compared and analyzed through simulation models and experiments. The results show that both foam-filled and honeycomb-filled thin-walled structures can improve energy absorption efficiency, but the filling styles have an impact on their mechanical properties.
Article
Computer Science, Artificial Intelligence
Junfeng Tang, Handing Wang, Lin Xiong
Summary: In preference-based multi-objective optimization, knee solutions are the implicit preferred promising solutions. However, finding knee solutions is difficult and computationally expensive. To address this issue, we propose a surrogate-assisted evolutionary multi-objective optimization algorithm that uses surrogate models to replace expensive evaluations. Experimental results show that our proposed algorithm outperforms state-of-the-art knee identification evolutionary algorithms on most test problems within a limited computational budget.
SWARM AND EVOLUTIONARY COMPUTATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Marco Civera, Marica Leonarda Pecorelli, Rosario Ceravolo, Cecilia Surace, Luca Zanotti Fragonara
Summary: This study introduces a new approach based on multi-objective optimization and genetic algorithms for a sensor configuration strategy driven by damage scenarios. The aim is to enhance the robustness of sensor placement for damage detection after potential catastrophic events. The strategy is tested on the bell tower of the Santa Maria and San Giovenale Cathedral in Fossano, Italy, and compared to other classic strategies and a standard GA approach with a single objective function.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Computer Science, Information Systems
Krisztian Gado, Tamas Orosz
Summary: This paper discusses a novel solution for the multi-objective TEAM benchmark problem, which focuses on optimizing the shape of a coil to achieve uniform field distribution and robust design. Symmetrical solutions were found to perform better in terms of uniformity and sensitivity measures, but some asymmetric solutions previously neglected can be competitive and interesting for practical design.
Article
Computer Science, Information Systems
Yuxuan Li, Yu Zhang, Wang Hu
Summary: In this paper, a novel gBest selection strategy based on a new defined virtual generational distance indicator is proposed for selecting the most appropriate Pareto optimal solution, and an adaptive pBest selection strategy based on the evolutionary state is designed. The experimental results show that the MOPSO with these new selection strategies outperforms ten state-of-the-art competitive algorithms on benchmark problems and demonstrates effectiveness in a real-world application.
INFORMATION SCIENCES
(2023)
Article
Materials Science, Composites
Ying Xue, Haibin Zhao, Yaxin Zhang, Zhiyong Gao, Dongjie Zhai, Qing Li, Guoqun Zhao
Summary: This study evaluated and optimized the crashworthiness and crash safety performance of automobile bumper beams made of long glass fiber-reinforced polypropylene composites, showing that this material has good energy absorption and collision safety performance.
POLYMER COMPOSITES
(2021)
Article
Materials Science, Composites
Cuiping Bai, Tianjun Zhou, Qihua Ma, Xuehui Gan
Summary: This paper investigates the bending collapse and optimization of CFRP/Al hybrid tubes with different parameters. It is found that the hybrid tubes have higher transverse energy absorption compared to net aluminum tubes. The failure of outer CFRP and interaction between aluminum and CFRP contribute to the improved loading capacity and energy absorption. The optimized parameters are theta = 15 degrees, t = 1.65 mm, n = 3.
JOURNAL OF REINFORCED PLASTICS AND COMPOSITES
(2022)
Article
Mathematics
Khoirunnisa Rohadatul Aisy Muslihin, Endang Rusyaman, Diah Chaerani
Summary: Duality theory plays a crucial role in solving optimization problems by formulating the dual problem and satisfying the weak duality condition. In this paper, the dual model of an uncertain linear multi-objective optimization problem is constructed using conic duality, and its characteristics and strong duality criteria are studied.
Article
Engineering, Mechanical
Shiming Wang, Yong Peng, Xuanzhen Chen, Kui Wang
Summary: This study investigated the crack propagation and dynamic impact responses of tempered laminated windshields used in high-speed trains. A finite element model considering residual stress was built and validated through experiments. The results showed that residual stress significantly influenced the fracture mechanism and crack modes. Additionally, the impact performances of the windshields were found to be sensitive to impact velocity and the thickness of glass components.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Civil
Kui Wang, Yisen Liu, Jin Wang, Jiangyang Xiang, Song Yao, Yong Peng
Summary: In this paper, multi-cell filled thin-walled structures were prepared using fused deposition modeling by carbon-fiber-reinforced polyamide. The crashworthiness behaviors of the structures were studied, and the effect of fillings on their performance was investigated. The results showed that increasing the filling density improved the specific energy absorption and crushing force efficiency. The circular filled structures exhibited higher specific energy absorption, and at high loading velocity, the energy absorption and crushing force efficiency of all structures decreased. The failure mode of the structures also changed from ductile damage to brittle fracture.
ENGINEERING STRUCTURES
(2022)
Article
Medicine, Legal
Xinghua Wang, Yong Peng, Weifeng Yu, Quan Yuan, Honggang Wang, Meng Zheng, Hao Yu
Summary: A method for uncertain inverse traffic accident reconstruction is proposed, which combines modified AOPE and a novel optimization technique to rapidly identify unknown impact parameters and quantify their uncertainty. Experimental results demonstrate the efficiency and reliability of this method in traffic accident reconstruction under uncertainty.
FORENSIC SCIENCE INTERNATIONAL
(2022)
Article
Materials Science, Multidisciplinary
Ning Wei, Song Yao, Yanni Rao, Kui Wang, Yong Peng
Summary: This article proposes a novel integrated prediction model to investigate the relationship between the yield strength of material extrusion (ME) additive manufacturing polymers and printing parameters. By estimating the processing related representative volume element (RVE) and applying a multiscale approach, the yield behavior of ME polymers is determined. The validity of the proposed method is confirmed through comparison with experimental data.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Mechanics
Jin Wang, Xiaobo Luo, Kui Wang, Song Yao, Yong Peng
Summary: This study developed a novel three-dimensional concave lattice structure using a hyper-elastic soft photopolymer. The results showed that the structure exhibited continuous auxetic behaviors with large negative Poisson's ratios, which is important for improving impact resistance.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Mechanical
Yingli Li, Jiahui Yan, Yong Peng
Summary: A compact structure combining a gradient porous material and a coiled-up channel (GPPC) is proposed to enhance the broadband sound absorption performance. The resonances of the meso-pore with the coiled-up channel, the coupling effect of multiscale porous material and coiled-up channel, and the energy trapping between the meso-pore and porous material matrix contribute to the absorption enhancement. The geometric parameters of the meso-pore and coiled-up channel also affect the absorption properties.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Engineering, Industrial
Jiahao Zhou, Zhifa Wu, Chaojie Fan, Tianjian Yu, Shengen Yi, Yunchao Li, Yong Peng
Summary: This study investigated the relationships between vibration, subjective comfort, and train operating parameters through field measurements. It was found that there was a significant correlation between the estimated vibration dose value and subjective comfort. The study also quantified the relationship between vibration magnitude and train speed, as well as tunnel density. A vibration exposure limit corresponding to the boundary between comfort and discomfort was obtained. A prediction method was proposed to calculate the passenger's maximum tolerance time and help alleviate vibration discomfort.
Article
Polymer Science
Wanying Zhu, Shixian Li, Yong Peng, Kui Wang, Said Ahzi
Summary: The mechanical properties of carbon and Kevlar fibers reinforced polyamide composites manufactured by FDM technique were investigated. The effects of fiber orientations, layer locations, and stacking sequences were studied. The results showed that the energy absorption of the composites was influenced by fiber orientations and layer locations. Introduction of 90 degrees continuous layers improved energy absorption capability due to extensive damage of CFRLs. Middle fiber layer locations delayed crack initiation and propagation.
POLYMERS FOR ADVANCED TECHNOLOGIES
(2023)
Article
Chemistry, Physical
Jiahao Li, Lichun Bai, Bo Liu, Xianqiong Tang, Jinfeng Peng, Runhua Zhou, Liming Tan, Yong Peng
Summary: Graphene has great potential in solid lubricity, but its performance is greatly affected when in contact with a rough substrate. This study proposes a novel approach to improve the performance of graphene on a rough substrate by filling grooves with C60 molecules. The friction force and wear resistance of graphene are significantly improved when C60 filling is introduced to prevent conformal contact with the substrate. These findings are important for the tribological application of graphene.
Article
Automation & Control Systems
Lin Hou, Yong Peng, Dong Sun
Summary: This study proposes a hybrid framework that incorporates a stochastic approach and an integrated optimization strategy to improve train crashworthiness and reduce passenger crash injuries. The stochastic approach evaluates the statistic characteristics of system responses and quantifies the contribution ranking of uncertain parameters to response variations. The optimization strategy solves the nonuniqueness of Pareto optimal solutions and improves the passive safety of the railway industry.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Materials Science, Multidisciplinary
Yong Peng, Tao Li, Lin Hou, Kui Wang, Guoquan Xie, Honghao Zhang
Summary: Bio-inspired cellular structures provide design concepts for thin-walled energy-absorbing structures. This study proposes a multi-stage cooperative optimization algorithm for selecting and optimizing bio-inspired cellular structures, and analyzes and evaluates their performance under impact loading. The results show that the optimized bio-inspired cellular thin-walled energy-absorbing structure has better overall characteristics in collisions.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Materials Science, Multidisciplinary
Honghao Zhang, Dongtao Yu, Danqi Wang, Tao Li, Yong Peng, Lin Hou, Zhixiang Li
Summary: The paper analyzes the performance of nested corrugation square energy-absorbing tubes through finite element simulation and experimental validation, and provides the results of the optimal structure and sensitivity analysis, which is of reference significance for the study of energy-absorbing structures.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Review
Polymer Science
Ping Cheng, Yong Peng, Kui Wang, Antoine Le Duigou, Said Ahzi
Summary: This article reviewed the advanced techniques for 3D printing CNFRCs and discussed their advancements in mechanical performance and novel functions, as well as the challenges in performance optimization and prediction methods. Finally, it provided a perspective on future research opportunities.
POLYMERS FOR ADVANCED TECHNOLOGIES
(2023)
Article
Transportation Science & Technology
Xinkang Li, Fei Peng, Zeyun Yang, Yong Peng, Jiahao Zhou
Summary: This study establishes a general workflow for the structural optimization of a stainless-steel metro bolster using a simulation-driven design method and sub-model technology. The simulation analysis shows that the optimized bolster structure meets the requirements for static strength and fatigue strength, and also achieves significant reductions in weight and weld length.
TRANSPORTATION SAFETY AND ENVIRONMENT
(2023)
