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面向声爆/气动力的飞行器布局设计知识挖掘

北京航空航天大学学报 2024年第3期50卷 975-984页

作者：马创舒博文黄江涛刘刚钟世东中国空气动力研究与发展中心绵阳621000 西北工业大学航空学院西安710072

声爆抑制是发展新一代超声速民机必须突破的关键技术。飞行器总体布局参数对其声爆特性有重要影响。数据挖掘(DM)可以从大量的数据中通过算法搜索隐藏的信息,是飞行器设计知识提取的有力工具。选取后掠角、展弦比、梢根比、上反角、机... 详细信息

声爆抑制是发展新一代超声速民机必须突破的关键技术。飞行器总体布局参数对其声爆特性有重要影响。数据挖掘(DM)可以从大量的数据中通过算法搜索隐藏的信息,是飞行器设计知识提取的有力工具。选取后掠角、展弦比、梢根比、上反角、机身长细比5个总体布局参数作为设计变量,目标函数定义为远场感知噪声级,同时计算升、阻力系数作为气动力衡量指标。基于总变差分析(ANOVA)、决策树算法、自组织映射(SOM)网络组成的数据挖掘体系提取低声爆设计知识库。获得所选设计变量与声爆/气动力的相关度,并实现对设计变量的分层与降维。后掠角有最高设计优先级,长细比、上反角重要程度次之,展弦比与梢根比为低敏感变量。对于算例中的飞行器,在合理区间内选择较大的后掠角、上反角能够使声爆最小化的同时,设计适于超声速巡航的小展弦比布局。

关键词：超声速民机声爆抑制布局设计数据挖掘知识库

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低可探测DSI进气道几何敏感性分析

空气动力学学报 2024年第9期42卷 100-113页

作者：舒博文高正红黄江涛钟世东郑海波西北工业大学航空学院中国空气动力研究与发展中心空天技术研究所飞行器基础布局全国重点实验室中国空气动力研究与发展中心跨域飞行交叉技术重点实验室

低可探测DSI进气道（蚌式进气道）设计受多个几何参数的影响，单几何参数分析难以全面反映外形对进气道性能的影响。本文采用非嵌入式多项式混沌方法对某低可探测DSI进气道开展研究，分析亚声速大攻角、最大飞行速度时，进气道性能对喉... 详细信息

低可探测DSI进气道（蚌式进气道）设计受多个几何参数的影响，单几何参数分析难以全面反映外形对进气道性能的影响。本文采用非嵌入式多项式混沌方法对某低可探测DSI进气道开展研究，分析亚声速大攻角、最大飞行速度时，进气道性能对喉道面积、喉道位置、鼓包马赫数、鼓包前移量、唇罩前伸量、唇口前缘半径以及进气道收缩量的敏感程度，并开展了选型设计。结果表明，进气道性能对唇罩前伸量最敏感，鼓包马赫数和收缩量对亚声速大攻角下的进气道性能也有所贡献，并存在最佳的唇罩前伸量与进气道收缩量。选型设计后，进气道在亚声速大攻角时总压恢复系数提升4.6%，稳态总压畸变指数下降10.9%；在最大飞行速度时总压恢复系数提升3.1%，稳态总压畸变指数降低35.5%。合理地选择几何参数，减弱或消除进气道唇口处以及激波后的分离能够有效提升进气道性能。

关键词： DSI进气道敏感性分析总压畸变总压恢复非嵌入多项式混沌

婴幼儿入托对女性劳动收入的影响研究——基于成都市8个区(市、县)的调查数据

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中国劳动关系学院学报 2024年第4期38卷 113-124页

作者：李德山舒博文文琳四川师范大学商学院四川成都610101

随着我国人口生育政策的调整,育龄女性面临着劳动供给和家庭照料之间的矛盾,而子女入托作为缓解家庭照护压力方式之一,越来越受社会的重视。本研究基于成都市8个区(市、县)的调查数据,分析了0—3岁婴幼儿入托对女性劳动收入的影响机制... 详细信息

随着我国人口生育政策的调整,育龄女性面临着劳动供给和家庭照料之间的矛盾,而子女入托作为缓解家庭照护压力方式之一,越来越受社会的重视。本研究基于成都市8个区(市、县)的调查数据,分析了0—3岁婴幼儿入托对女性劳动收入的影响机制。研究发现:相对于未入托的样本,子女入托可以使女性劳动收入显著提高;在非流动人口的家庭、高学历家庭、父辈健康的样本中,婴幼儿入托对女性劳动收入的促进作用更明显;婴幼儿入托通过影响劳动参与和照护时间来影响女性劳动收入。研究建议,应加大对托育服务市场的扶持力度,完善家庭托育支持政策,精准对接家庭托育需求,以提升女性的劳动收入。

关键词：婴幼儿托育服务女性劳动收入生育支持

Inverse design of low boom configurations using proper orthogonal decomposition and augmented Burgers equation

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Chinese Journal of Aeronautics 2019年第6期32卷 1380-1389页

作者： Yidian ZHANG Jiangtao HUANG Zhenghong GAO Chao WANG bowen shu School of Aeronautics Northwestern Polytechnical UniversityXi’an 710072China Computational Aerodynamics Institute China Aerodynamics Research and Development CenterMianyang 621000China

Mitigation of sonic boom to an acceptable stage is a key point for the next generation of supersonic transports. Meanwhile, designing a supersonic aircraft with an ideal ground signature is always the focus of research on sonic boom reduction. This paper presents an inverse design approach to optimize the near-field signature of an aircraft, making it close to the shaped ideal ground signature after the propagation in the atmosphere. Using the Proper Orthogonal Decomposition(POD) method, a guessed input of augmented Burgers equation is inversely achieved. By multiple POD iterations, the guessed ground signatures successively approach the target ground signature until the convergence criteria is reached. Finally, the corresponding equivalent area distribution is calculated from the optimal near-field signature through the classical Whitham F-function theory. To validate this method, an optimization example of Lockheed Martin 1021 is demonstrated. The modified configuration has a fully shaped ground signature and achieves a drop of perceived loudness by 7.94 PLdB. This improvement is achieved via shaping the original near-field signature into wiggles and damping it by atmospheric attenuation. At last, a nonphysical ground signature is set as the target to test the robustness of this inverse design method and shows that this method is robust enough for various inputs.

关键词： Aeroacoustics Augmented Burgers equation Low boom configuration Optimization Supersonic aerodynamics

Multiplexed Profiling of Extracellular Vesicles for Biomarker Development

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Nano-Micro Letters 2022年第1期14卷 59-94页

作者： Cheng Jiang Ying Fu Guozhen Liu bowen shu Jason Davis George K.Tofaris Nuffield Department of Clinical Neurosciences New Biochemistry BuildingUniversity of OxfordOxford OX13QUUK Department of Chemistry University of OxfordOxford OX13QZUK School of Life and Health Sciences The Chinese University of Hong KongShenzhen 518172People’s Republic of China Dermatology Hospital Southern Medical UniversityGuangzhou 510091People’s Republic of China Kavli Institute for Nanoscience Discovery New Biochemistry BuildingUniversity of OxfordOxfordUK

Extracellular vesicles(EVs)are cell-derived membranous particles that play a crucial role in molecular trafficking,intercellular transport and the egress of unwanted *** have been implicated in many diseases including cancer and *** are detected in all bodily fluids,and their protein and nucleic acid content offers a means of assessing the status of the cells from which they *** such,they provide opportunities in biomarker discovery for diagnosis,prognosis or the stratification of diseases as well as an objective monitoring of *** simultaneous assaying of multiple EV-derived markers will be required for an impactful practical application,and multiplexing platforms have evolved with the potential to achieve ***,we provide a comprehensive overview of the currently available multiplexing platforms for EV analysis,with a primary focus on miniaturized and integrated devices that offer potential step changes in analytical power,throughput and consistency.

关键词： Multiplexed profiling Extracellular vesicles Exosomes Liquid biopsy Point-of-care Biomarker

Adaptive step-size forward advection method for aerosol process simulation

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International Journal of Digital Earth 2023年第1期16卷 937-964页

作者： Yuang Wu shuo Liu bowen shu Weichao Sun Sheng Wang Hongyang Zhang Chenchen Chen Aerospace Information Research Institute Chinese Academy of ScienceBeijingPeople’s Republic of China University of Chinese Academy of Sciences BeijingPeople’s Republic of China School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijingPeople’s Republic of China

Outdoor aerosol processes are often associated with disasters and diseases,which threaten human life and *** aerosols are afluid system affected by meteorological conditions and three-dimensional complex *** variable wind speed and direction and complex terrain boundary conditions make simulating advection processes *** on incompressibleflow conditions,we designed an adaptive time step algorithm for forward advection for the rapid simulation of aerosol *** method is based on thefirst-order forward semi-Lagrangian advection method with unconditional mass ***-order truncated error coefficient function theory generates an adaptive time step to control the accuracy of forward *** aerosol simulation experiments in two small outdoor scenes were designed,and the effects of the traditional backward advection and forwardfixed step methods were compared with the algorithm in this *** proposed simulation method showed improved accuracy compared with the other two methods in experimental scenarios;moreover,compared with those of the traditional backward method,the computation time was significantly reduced and the conservation of mass was significantly ***,the proposed method is a fast simulation method for outdoor aerosol numerical *** POLICY *** first-order forward semi-Lagrangian method,which requires no iteration and less computation and offers unconditional conservation,was used..The law of truncation error coefficient of thefirst-order forward method was studied and an adaptive step algorithm was designed..Full-size real aerosol experiments in small-scale complex outdoor scenes were conducted for verification and comparison of simulation effects.

关键词： Virtual geographical environments aerosol prediction finite difference method fluid simulation adaptive algorithms

Wireless sequential dual light delivery for programmed PDT in vivo

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Light(Science & Applications) 2024年第6期13卷 1047-1061页

作者： Jiayi Liu bowen Sun Wenkai Li Han-Joon Kim shu Uin Gan John S.Ho Juwita Norasmara Bte Rahmat Yong Zhang Department of Oncology The Second Xiangya HospitalCentral South UniversityChangshaHunan410011China Department of Biomedical Engineering College of Design and EngineeringNational University of SingaporeSingapore117585Singapore Department of Mechanical Engineering College of Design and EngineeringNational University of SingaporeSingapore117576Singapore Department of Electrical and Computer Engineering College of Design and EngineeringNational University of SingaporeSingapore117583Singapore Department of Medical IT Convergence Engineering Kumoh National Institute of TechnologyGumi39253Republic of Korea Department of Surgery Yong Loo Lin School of MedicineNational University of SingaporeSingapore119228Singapore The N.1 Institute for Health National University of SingaporeSingapore117456Singapore Institute for Health Innovation and Technology National University of SingaporeSingapore119276Singapore Department of Biomedical Engineering College of EngineeringCity University of Hong KongKowloonHong Kong SARChina

Using photodynamic therapy(PDT)to treat deep-seated cancers is limited due to inefficient delivery of photosensitizers and low tissue penetration of *** nanocarriers are widely used for photosensitizer delivery,while the self-quenching of the encapsulated photosensitizers would impair the PDT ***,the generated short-lived reactive oxygen spieces(ROS)can hardly diffuse out of nanocarriers,resulting in low PDT ***,a smart nanocarrier system which can be degraded by light,followed by photosensitizer activation can potentially overcome these limitations and enhance the PDT efficacy.A light-sensitive polymer nanocarrier encapsulating photosensitizer(RB-M)was *** implantable wireless dual wavelength microLED device which delivers the two light wavelengths sequentially was developed to programmatically control the release and activation of the loaded *** transmitter coils with matching resonant frequencies allow activation of the connected LEDs to emit different wavelengths *** irradiation time,dose,and RB-M concentration were determined using an agent-based digital simulation *** vitro and in vivo validation experiments in an orthotopic rat liver hepatocellular carcinoma disease model confirmed that the nanocarrier rupture and sequential low dose light irradiation strategy resulted in successful PDT at reduced photosensitizer and irradiation dose,which is a clinically significant event that enhances treatment safety.

关键词： PDT overcome hardly

Layered double hydroxides functionalization toward rechargeable batteries Author links open overlay panel

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Particuology 2024年第8期91卷 138-154页

作者： Jianxiong Gao bowen Jin Mingfei Shao State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical TechnologyBeijing100029China Renewable Energy Research Institute Quzhou Institute for Innovation in Resource Chemical EngineeringQuzhou324000China

Layered double hydroxides(LDHs),known as typical two-dimensional materials with unique physicochemical properties,are regarded as promising candidates in energy storage ***,some inherent defects,such as poor conductivity and limited active sites,hinder the further development of ***,various functionalization strategies(e.g.,intercalation of guest molecules;metal ions doping and defect introduction of host layer;exfoliation to monolayer;hybridization with functional materials;construction of hierarchical structure;interface engineering and phase transformation)have been used to modify the characteristics of LDHs,which provides guidance for designing novel *** this review,we discuss how these strategies improve the properties of LDH-based materials,which are expected to possess high electronic and ionic conductivity,high specific surface area and high mechanical and chemical stability ***,the application of LDH-based materials in advanced energy conversion and storage techniques,including metal-ions batteries,lithium-sulfur batteries and metal-air batteries,have been comprehensively summarized.

关键词： Layered double hydroxide Functionalization strategy Rechargeable battery

Method for Detecting Industrial Defects in Intelligent Manufacturing Using Deep Learning

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Computers, Materials & Continua 2024年第1期78卷 1329-1343页

作者： bowen Yu Chunli Xie College of Mechanical and Electrical Engineering Northeast Forestry UniversityHarbin150040China

With the advent of Industry 4.0,marked by a surge in intelligent manufacturing,advanced sensors embedded in smart factories now enable extensive data collection on equipment *** analysis of such data is pivotal for ensuring production safety,a critical factor in monitoring the health status of manufacturing *** defect detection techniques,typically limited to specific scenarios,often require manual feature extraction,leading to inefficiencies and limited versatility in the overall *** research presents an intelligent defect detection methodology that leverages deep learning techniques to automate feature extraction and defect localization *** proposed approach encompasses a suite of components:the high-level feature learning block(HLFLB),the multi-scale feature learning block(MSFLB),and a dynamic adaptive fusion block(DAFB),working in tandem to extract meticulously and synergistically aggregate defect-related characteristics across various scales and hierarchical *** have conducted validation of the proposed method using datasets derived from gearbox and bearing *** empirical outcomes underscore the superior defect detection capability of our *** demonstrates consistently high performance across diverse datasets and possesses the accuracy required to categorize defects,taking into account their specific locations and the extent of damage,proving the method’s effectiveness and reliability in identifying defects in industrial components.

关键词： Industrial defect detection deep learning intelligent manufacturing