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Low-frequency bandgap and vibration suppression mechanism of a novel square hierarchical honeycomb metamaterial

Applied Mathematics and Mechanics(English Edition) 2024年第10期45卷 1841-1856页

作者： Xingjian DONG Shuo WANG Anshuai WANG Liang WANG Zhaozhan ZHANG yuanhao tie Qingyu LIN Yongtao SUN State Key Laboratory of Mechanical Systems and Vibration Shanghai Jiao Tong University Department of Mechanics Tianjin University Tianjin Key Laboratory of Nonlinear Dynamics and Control Tianjin University School of Mechanical and Automotive Engineering Guangxi University of Science and Technology

The suppression of low-frequency vibration and noise has always been an important issue in a wide range of engineering applications. To address this concern,a novel square hierarchical honeycomb metamaterial capable of reducing low-frequency noise has been developed. By combining Bloch's theorem with the finite element method,the band structure is calculated. Numerical results indicate that this metamaterial can produce multiple low-frequency bandgaps within 500 Hz, with a bandgap ratio exceeding50%. The first bandgap spans from 169.57 Hz to 216.42 Hz. To reveal the formation mechanism of the bandgap, a vibrational mode analysis is performed. Numerical analysis demonstrates that the bandgap is attributed to the suppression of elastic wave propagation by the vibrations of the structure's two protruding corners and overall expansion vibrations. Additionally, detailed parametric analyses are conducted to investigate the effect of θ, i.e., the angle between the protruding corner of the structure and the horizontal direction, on the band structures and the total effective bandgap width. It is found that reducing θ is conducive to obtaining lower frequency bandgaps. The propagation characteristics of elastic waves in the structure are explored by the group velocity, phase velocity, and wave propagation direction. Finally, the transmission characteristics of a finite periodic structure are investigated experimentally. The results indicate significant acceleration amplitude attenuation within the bandgap range, confirming the structure's excellent low-frequency vibration suppression capability.

关键词： wave propagation vibration suppression metamaterial low-frequency bandgap O321 LATTICE WAVES GAP

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The Nest of Torquigener Albomaculosus:Fluid-Dynamic Aspects and Potential for Bio-Inspired Engineering

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Fluid Dynamics & Materials Processing 2023年第7期19卷 1837-1850页

作者： Zhimin Zhao Shangbin Wang yuanhao tie Ning Feng School of Electrical and Mechanical Engineering Pingdingshan UniversityPingdingshan467000China Henan Province Engineering Research Center of Ultrasonic Technology Application Pingdingshan UniversityPingdingshan467000China School of Mechanical and Transportation Engineering Guangxi University of Science and TechnologyLiuzhou545006China

Torquigener albomaculosus,also known as the white-spotted pufferfish,is known for creating circular nests in the underwater sand as part of the mating *** nests are built by the males to attract females through the nest’s impressive design and related ability to gather fine sand *** the fluid-dynamic processes associated with these unique nests are still almost completely unknown,in the present study,an analysis has been conducted to investigate how the geometric parameters related to the nest design influence the fluid velocity in its *** this reason,a geometric model of the nest consisting of 24 channels,where each unit channel can be described by three strips of broken lines,has been introduced,and a multivariate analysis has been implemented to determine the relative weight of each considered *** particular,the“optimal”combination of parameters has been obtained by means of an orthogonal design *** show that these bio-nest structures also display a potential for significant application in marine litter collection,or for use as a buffer against the waves in offshore areas.

关键词： CFD multivariate fluid analysis optimization mystery circles

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Numerical Investigation on Vibration Performance of Flexible Plates Actuated by Pneumatic Artificial Muscle

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Sound & Vibration 2022年第4期56卷 307-317页

作者： Zhimin Zhao Jie Yan Shangbin Wang yuanhao tie Ning Feng School of Electrical and Mechanical Engineering Pingdingshan UniversityPingdingshan467000China Henan Province Engineering Research Center of Ultrasonic Technology Application Pingdingshan UniversityPingdingshan467000China College of Mechanical and Electrical Engineering Northeast Forestry UniversityHarbin150040China School of Mechanical and Transportation Engineering Guangxi University of Science and TechnologyLiuzhou545006China College of Mechanical and Electrical Engineering Xinjiang Agricultural UniversityUrumchi830052China

This paper theoretically introduced the feasibility of changing the vibration characteristics ofﬂexible plates by using bio-inspired,extremely light,and powerful Pneumatic Artiﬁcial Muscle(PAM)*** structural plates or shells are typicallyﬂexible and show highvibration *** this reason,this paper provides a way toachieve active vibrationcontrolfor suppressing the oscillations ofthese structuresto meet strict stability,safety,and comfort *** dynamic behaviors of the designed plates are modeled by using theﬁnite element(FE)*** is known,the output force *** curve of PAM is nonlinear *** this presentﬁnite element model,the maximum forces provided by PAM in different air pressure are adopted as controlling forces for applying for the *** non-linearity between the output force and displacement of PAM is avoided in this *** dynamic behaviors of plates with several independent groups of controlling forces are observed and *** results show that the natural frequencies of the plate can be varying and the max amplitude decreases signiﬁcantly if the controlling forces are *** present work also demonstrates the potential of the PAM actuators as valid means for damping out the vibration ofﬂexible systems.

关键词： Pneumatic artiﬁcial muscle active vibration control ﬁnite element method composite plate

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A New Integrated Interpolation Method for High Missing Unstable Disease Surveillance Data—12 Urban Agglomerations,China,2009-2020

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China CDC weekly 2024年第27期6卷 670-676,I0005-I0012页

作者： yuanhao Shi Yilan Liao The State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina University of Chinese Academy of Science BeijingChina

Introduction:The prevalence of unstable and incomplete monitoring data significantly complicates syndromic *** data interpolation methods currently available demonstrate inadequate effectiveness in overcoming this ***:To improve the accuracy of interpolation,we propose the integration of the SHapley Additive exPlanation model(SHAP)with the structural equation model(SEM),forming a combined SHAP-SEM approach.A case study is then performed to assess the enhanced performance of this novel model compared to traditional ***:The SHAP-SEM model was utilized to develop an interpolation model employing data from the Chinese respiratory syndrome surveillance *** executed three distinct experiments to establish the model datasets,comprising a total of 100 *** performance of the model was evaluated using the root mean square error(RMSE),correlation coefficient(r),and *** findings demonstrate that the SHAP-SEM model consistently achieves superior accuracy in data interpolation,which is evident across different seasons and in overall ***:We conclude that the SHAP-SEM model demonstrates an exceptional capacity for accurately interpolating volatile and incomplete *** capability is crucial for developing a comprehensive database that is essential for conducting risk assessments related to syndromes.

关键词： interpolation incomplete exceptional

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Optimal retrofitting scenarios of multi-objective energy-efficient historic building under different national goals integrating energy simulation,reduced order modelling and NSGA-II algorithm

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Building Simulation 2024年第6期17卷 933-954页

作者： Hailu Wei yuanhao Jiao Zhe Wang Wei Wang Tong Zhang School of Architecture Southeast UniversityNanjingJiangsu Province210096China Key Laboratory of Urban and Architectural Heritage Conservation(Southeast University) Ministry of EducationNanjingChina Department of Civil and Environmental Engineering The Hong Kong University of Science and TechnologyHong KongChina HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute FutianShenzhenChina

Retrofitting a historic building under different national goals involves multiple objectives,constraints,and numerous potential measures and packages,therefore it is time-consuming and challenging during the early design *** study introduces a systematic retrofitting approach that incorporates standard measures for the building envelope(walls,windows,roof),as well as the heating,cooling,and lighting *** retrofit objectives are delineated based on prevailing Chinese *** retrofit measures function as genes to optimize energy-savings,carbon emissions,and net present value(NPV)by employing a log-additive decomposition approach through energy simulation techniques and NSGA-II,yielding 185,163,and 8 ***,a weighted sum method is proposed to derive optimal solutions across multiple *** framework is applied to a courtyard building in Nanjing,China,and the outcomes of the implementation are scrutinized to ascertain the optimal retrofit package under various *** this retrofit,energy consumption can be diminished by up to 63.62%,resulting in an NPV growth of 151.84%,and maximum rate of 60.48%carbon *** three result values not only indicate that the optimal values are achieved in these three aspects of energy saving,carbon reduction and economy,but also show the possibility of possible equilibrium in this multi-objective optimization *** framework proposed in this study effectively addresses the multi-objective optimization challenge in building renovation by employing a reliable optimization algorithm with a computationally efficient reduced-order *** provides valuable insights and recommendations for optimizing energy retrofit strategies and meeting various performance objectives.

关键词： historic building energy-efficient retrofitting building energy simulation log-additive decomposition approach NSGA-II

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Mutual Information Maximization via Joint Power Allocation in Integrated Sensing and Communications System

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China Communications 2024年第2期21卷 129-142页

作者： Jia Zhu Junsheng Mu yuanhao Cui Xiaojun Jing School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China

In this paper, we focus on the power allocation of Integrated Sensing and Communication(ISAC) with orthogonal frequency division multiplexing(OFDM) waveform. In order to improve the spectrum utilization efficiency in ISAC, we propose a design scheme based on spectrum sharing, that is,to maximize the mutual information(MI) of radar sensing while ensuring certain communication rate and transmission power constraints. In the proposed scheme, three cases are considered for the scattering off the target due to the communication signals,as negligible signal, beneficial signal, and interference signal to radar sensing, respectively, thus requiring three power allocation schemes. However,the corresponding power allocation schemes are nonconvex and their closed-form solutions are unavailable as a consequence. Motivated by this, alternating optimization(AO), sequence convex programming(SCP) and Lagrange multiplier are individually combined for three suboptimal solutions corresponding with three power allocation schemes. By combining the three algorithms, we transform the non-convex problem which is difficult to deal with into a convex problem which is easy to solve and obtain the suboptimal solution of the corresponding optimization problem. Numerical results show that, compared with the allocation results of the existing algorithms, the proposed joint design algorithm significantly improves the radar performance.

关键词： coexistence communications multicarrier radar mutual information spectrum sharing

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Controllable image generation based on causal representation learning

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Frontiers of Information Technology & Electronic Engineering 2024年第1期25卷 135-148页

作者： Shanshan HUANG yuanhao WANG Zhili GONG Jun LIAO Shu WANG Li LIU School of Big Data and Software Engineering Chongqing UniversityChongqing 401331China School of Materials and Energy Southwest UniversityChongqing 400715China

Artificial intelligence generated content(AIGC)has emerged as an indispensable tool for producing large-scale content in various forms,such as images,thanks to the significant role that AI plays in imitation and ***,interpretability and controllability remain *** AI methods often face challenges in producing images that are both flexible and controllable while considering causal relationships within the *** address this issue,we have developed a novel method for causal controllable image generation(CCIG)that combines causal representation learning with bi-directional generative adversarial networks(GANs).This approach enables humans to control image attributes while considering the rationality and interpretability of the generated images and also allows for the generation of counterfactual *** key of our approach,CCIG,lies in the use of a causal structure learning module to learn the causal relationships between image attributes and joint optimization with the encoder,generator,and joint discriminator in the image generation *** doing so,we can learn causal representations in image’s latent space and use causal intervention operations to control image *** conduct extensive experiments on a real-world dataset,*** experimental results illustrate the effectiveness of CCIG.

关键词： Image generation Controllable image editing Causal structure learning Causal representation learning

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Holocene Hydroclimatic Variations in the Asian Drylands:Current Understanding and Future Perspectives

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Journal of Earth Science 2024年第1期35卷 292-295页

作者： Guoqiang Ding Shengqian Chen yuanhao Sun Shuai Ma Jianhui Chen MOE Key Laboratory of West China's Environmental System College of Earth and Environmental SciencesLanzhou UniversityLanzhou 730000China Alpine Paleoecology and Human Adaptation Group State Key Laboratory of Tibetan Plateau Earth SystemEnvironment and ResourcesInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China

0 *** intensification of global warming is generating increasing risks to human society and sustainable development,which are of growing concern to the international scientific community and policymakers(Sun,2023).The ecosystems of the Asian drylands are fragile and highly sensitive to global changes;moreover,while these drylands are the most important areas of oasis agriculture on Earth,their water resources are being adversely impacted by ongoing climate change(Zhang et al.,2023).Hence,an improved understanding of the patterns of climate change in this region is important and attracting increasing research attention.

关键词： Asian Holocene climatic

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Science communication with science fiction movies

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The Innovation 2024年第2期5卷 17-18页

作者： Yuanzhuo Wang Jingyuan Li yuanhao Cui Department of Computer Science Beijing Technology and Business UniversityNo.33 Fucheng RoadHaidianBeijing 100048China Institute of Computing Technology Chinese Academy of SciencesNo.6 Kexueyuan South RoadHaidianBeijing 100190China School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyNo.1088 Xueyuan AvenueShenzhenGuangdong 518055China

“It is not as easy as it looks,”Holden Thorp,Science’s chief editor,commented at the end of 2021,when explaining new research findings of the COVID-19 pandemic to the public had encountered great difficulties.1 As a matter of fact,science communication has never been easy because serious scientific knowledge is prone to be boring rather than *** is only one atypical medium for science communication,i.e.,the science fiction movie(sci-fi movie for short),that has a huge amount of fans.

关键词： communication editor movie

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Application of machine learning models in groundwater quality assessment and prediction:progress and challenges

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Frontiers of Environmental Science & Engineering 2024年第3期18卷 25-55页

作者： Yanpeng Huang Chao Wang yuanhao Wang Guangfeng Lyu Sijie Lin Weijiang Liu Haobo Niu Qing Hu School of Environment Harbin Institute of TechnologyHarbin 150090China School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Engineering Innovation Center of SUSTech(Beijing) Southern University of Science and TechnologyBeijing 100083China Technical Center for Soil Agriculture and Rural Ecology and EnvironmentMinistry of Ecology and EnvironmentBeijing 100012China Chinese Academy of Environmental Planning Beijing 100043China

Groundwater quality assessment and prediction(GQAP)is vital for protecting groundwater *** GQAP methods can not adequately capture the complex relationships among attributes and have the disadvantage of being computationally ***,the application of machine learning(ML)in GAQP(GQAPxML)has been widely studied due to ML’s reliability and *** many GQAPxML publications exist,a thorough review is *** review provides a comprehensive summary of the development of ML applications in the field of ***,the workflow of ML modeling is briefly introduced,as are data preparation,model development,model evaluation,and model ***,299 publications related to the topic are filtered,mainly through ML ***,many aspects of GQAPxML,such as publication trends,the spatial distribution of study areas,the size of data sets,and ML algorithms,are discussed from a bibliometric *** addition,we review in detail the well-established applications and recent findings for several subtopics,including groundwater quality assessment,groundwater quality modeling using groundwater quality parameters,groundwater quality spatial mapping,probability estimation of exceeding the groundwater quality threshold,groundwater quality temporal prediction,and the hybrid use of ML and physics-based ***,the development of GQAPxML is explored from three perspectives:data collection and preprocessing,model building and evaluation,and the broadening of model *** review provides a reference for environmental scientists to better understand GQAPxML and promotes the development of innovative methods and improvements in modeling quality.

关键词： Groundwater quality assessment Groundwater quality prediction Machine learning Groundwater modeling

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