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Isogeometric Analysis of Hyperelastic Material Characteristics for Calcified Aortic Valve

Computer Modeling in Engineering & Sciences 2024年第6期139卷 2773-2806页

作者： Long Chen Ting Li Liang Liu wenshuo wang Xiaoxiao Du Wei wang School of Mechanical Engineering University of Shanghai for Science and TechnologyShanghai200093China Department of Cardiac Surgery Zhongshan HospitalFudan UniversityShanghai200093China School of Mechanical Engineering and Automation Beihang UniversityBeijing100191China

This study explores the implementation of computed tomography(CT)reconstruction and simulation techniques for patient-specific valves,aiming to dissect the mechanical attributes of calcified valves within transcatheter heart valve replacement(TAVR)*** order to facilitate this exploration,it derives pertinent formulas for 3D multi-material isogeometric hyperelastic analysis based on Hounsfield unit(HU)values,thereby unlocking foundational capabilities for isogeometric analysis in calcified aortic valves.A series of uniaxial and biaxial tensile tests is executed to obtain an accurate constitutive model for calcified active *** mitigate discretization errors,methodologies for reconstructing volumetric parametric models,integrating both geometric and material attributes,are *** these analytical formulas,constitutive models,and precise analytical models to isogeometric analyses of calcified valves,the research ascertains their close alignment with experimental results through the close fit in displacement-stress curves,compellingly validating the accuracy and reliability of the *** study presents a step-by-step approach to analyzing themechanical characteristics of patient-specific valves obtained fromCT images,holding significant clinical implications and assisting in the selection of treatment strategies and surgical intervention approaches in TAVR procedures.

关键词： Calcified aortic valves tensile test constitutive relations CT reconstruction isogeometric hyperelastic analysis

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聚合物-微生物杂合体的构建及催化应用

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化学进展 2024年第6期36卷 815-826页

作者：邹雨泰王文硕刘健青岛科技大学材料科学与工程学院青岛266042 太阳能光电转化与利用重点实验室青岛新能源山东省实验室中国科学院青岛生物能源与过程研究所青岛266101

设计材料-微生物杂合体系,利用太阳能等可再生能源进行绿色生物合成,有望为人类社会提供解决全球能源短缺和环境危机的可行方案。将人工材料优异的物理化学特性与微生物的生物合成功能进行耦合,构建杂合体系的研究在近年来受到了广泛关... 详细信息

设计材料-微生物杂合体系,利用太阳能等可再生能源进行绿色生物合成,有望为人类社会提供解决全球能源短缺和环境危机的可行方案。将人工材料优异的物理化学特性与微生物的生物合成功能进行耦合,构建杂合体系的研究在近年来受到了广泛关注。聚合物材料因其功能多样、可设计性强、生物兼容性好等特点被广泛应用于构建材料-微生物杂合体,在生物能源领域展现出广阔的应用前景。本文从聚合物材料的功能特点出发,系统总结了不同类型的聚合物-微生物杂合体,并论述了聚合物材料通过增强光能利用、加速电子传递、稳定生物活性等机制对杂合体催化性能的强化。最后,对聚合物-微生物杂合体系面临的挑战和未来发展前景进行展望。

关键词：聚合物生物杂合生物催化细胞表面工程半人工光合作用

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基于ECOSTRESS的城市热环境昼夜空间特征分析

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测绘通报 2024年第6期 151-156,181页

作者：彭敏姚娜孙培蕾邹博文王文硕沈阳市勘察测绘研究院有限公司辽宁沈阳110004 沈阳市自然资源卫星应用技术中心辽宁沈阳110004

地表温度是表征城市热环境变化的重要指标,其分布信息对监测城市热环境具有重要意义。本文首先基于2018—2023年6—8月ECOSTRESS数据,通过地表温度修正得到沈阳市四环内的昼夜地表温度;然后利用均值-标准差法和空间自相关分析法对地表... 详细信息

地表温度是表征城市热环境变化的重要指标,其分布信息对监测城市热环境具有重要意义。本文首先基于2018—2023年6—8月ECOSTRESS数据,通过地表温度修正得到沈阳市四环内的昼夜地表温度;然后利用均值-标准差法和空间自相关分析法对地表温度昼夜空间特征进行提取;最后结合土地利用数据,分析不同地类对地表温度空间分布的贡献度。结果表明,沈阳市四环内地表温度呈北高南低、西高东低的形式,日间和夜间地表温度差异较大。高温区主要集中在皇姑区、大东区、沈河区西部和铁西区东部,低温区和次中温区主要集中在四环边缘;人工地表类别的地表温度大多高于自然地表类别的地表温度,建筑用地类别高温区占比最多,这是地表升温的主要因素,自然地表类别是降温的主要因素;沈阳市四环内的地表温度呈空间正相关,夜间地表温度聚集程度高于日间,且具有显著性的冷热点,地表温度昼夜变化与地表温度聚集性分布特征一致。

关键词：城市热环境地表温度空间自相关分析 ECOSTRESS 沈阳市

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基于堆叠稀疏自编码和谱聚类分析的带式输送机托辊故障诊断

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煤矿机械 2024年第7期45卷 163-166页

作者：缪江华苑静科王文硕煤炭科学技术研究院有限公司北京100013 煤矿应急避险技术装备工程研究中心北京100013 北京市煤矿安全工程技术研究中心北京100013

针对煤矿带式输送机托辊故障数据庞大、可变性强等特点,以工业现场采集的音频数据为基础,对数据进程预处理,选用4个隐藏层,采用每层节点数分别为128、32、16、8的自编码模型进行特征值提取,计算出各特征值的相关性,提取偏度、均值、峭... 详细信息

针对煤矿带式输送机托辊故障数据庞大、可变性强等特点,以工业现场采集的音频数据为基础,对数据进程预处理,选用4个隐藏层,采用每层节点数分别为128、32、16、8的自编码模型进行特征值提取,计算出各特征值的相关性,提取偏度、均值、峭度、峰值、波数和过零率6个特征,采用K-means算法和谱聚类算法进行故障诊断对比分析,建立故障诊断分级标准。实验结果表明,堆叠稀疏自编码提取特征优于时域特征,能够有效过滤干扰信息;基于堆叠稀疏自编码提取的特征值的谱聚类算法对于故障分为4类时效果最佳,故障诊断准确率高达96%。

关键词：堆叠稀疏自编码谱聚类算法特征值故障诊断

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Heart failure with preserved ejection fraction (HFpEF) in type 2 diabetes melitus: from pathophysiology to therapeutics

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Journal of Molecular Cell Biology 2022年第5期14卷 4-15页

作者： Miyesaier Abudureyimu Xuanming Luo Xiang wang James R.Sowers wenshuo wang Junbo Ge Jun Ren Yingmei Zhang Cardiovascular Department Shanghai Xuhui Central HospitalFudan UniversityShanghai 200031China Department of General Surgery Shanghai Xuhui Central HospitalFudan UniversityShanghai 200031China Diabetes and Cardiovascular Research Center University of Missouri ColumbiaColumbiaMO 65212USA Department of Cardiology Shanghai lnstitute of Cardiovascular DiseasesZhongshan HospitalFudan UniversityShanghai 200032China Department of Laboratory Medicine and Pathology University of WashingtonSeattleWA 98195USA

Type 2 diabetes mellitus(T2DM or T2D)is a devastating metabolic abnormality featured by insulin resistance,hyperglycemia,and hyperlipidemia.T2D provokes unique metabolic changes and compromises cardiovascular geometry and ***,T2D increases the overall risk for heart failure(HF)and acts independent of classical risk factors including coronary artery disease,hypertension,and valvular heart *** incidence of HF is extremely high in patients with T2D and is manifested as HF with preserved,reduced,and midrange ejection fraction(HFpEF,HFrEF,and HFmrEF,respectively),all of which significantly worsen the prognosis for *** seen in approximately half of the HF cases and is defined as a heterogenous syndrome with discrete phenotypes,particularly in close association with metabolic ***,management of HFpEF in T2D remains unclear,largely due to the poorly defined pathophysiology behind ***,in this review,we will summarize findings from multiple preclinical and clinical studies as well as recent clinical trials,mainly focusing on the pathophysiology,potential mechanisms,and therapies of HFpEF in T2D.

关键词： type 2 diabetes mellitus heart failure with preserved ejection fraction pathophysiology therapies

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Computer vision for road imaging and pothole detection:a state-of-the-art review of systems and algorithms

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Transportation Safety and Environment 2022年第4期4卷 3-18页

作者： Nachuan Ma Jiahe Fan wenshuo wang JinWu Yu Jiang Lihua Xie Rui Fan Department of Control Science and Engineering Frontiers Science Center for Intelligent Autonomous Systemsand State Key Laboratory of Intelligent Autonomous SystemsTongji UniversityShanghai 201804P.R.China Department of Civil Engineering McGill UniversityMontréalQC H3A 0C3Canada Department of Electronics and Computer Engineering the Hong Kong University of Science and TechnologyHong Kong SAR 999077P.R.China CTO Office ClearMotion Inc.BillericaMA 01821USA School of Electrical and Electronic Engineering Nanyang Technological University50 Nanyang Avenue639798Singapore

Computer vision algorithms have been utilized for 3-D road imaging and pothole detection for over two ***,there is a lack of systematic survey articles on state-of-the-art(SoTA)computer vision techniques,especially deep learningmodels,developed to tackle these *** article first introduces the sensing systems employed for 2-D and 3-D road data acquisition,including camera(s),laser scanners and Microsoft *** then comprehensively reviews the SoTA computer vision algorithms,including(1)classical 2-D image processing,(2)3-D point cloud modelling and segmentation and(3)machine/deep learning,developed for road pothole *** article also discusses the existing challenges and future development trends of computer vision-based road pothole detection approaches:classical 2-D image processing-based and 3-D point cloud modelling and segmentation-based approaches have already become history;and convolutional neural networks(CNNs)have demonstrated compelling road pothole detection results and are promising to break the bottleneck with future advances in self/un-supervised learning for multi-modal semantic *** believe that this survey can serve as practical guidance for developing the next-generation road condition assessment systems.

关键词： Computer vision road imaging pothole detection deep learning image processing point cloud modelling convolutional neural networks

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基于自注意力和门控循环神经网络的雷达回波外推算法研究

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气象学报 2024年第1期82卷 127-135页

作者：薛丰昌章超钦王文硕陈笑娟南京信息工程大学气象灾害地理信息工程实验室南京210044 绍兴市气象局绍兴312000 河北省气象灾害防御和环境气象中心石家庄050021

为提升现有神经网络对雷达回波序列的时、空特征提取能力,建立外推性能更优的时、空序列预测模型,开展雷达回波外推算法改进研究。基于深圳市气象局与中国香港天文台共同建立的雷达回波数据集,在数据处理层面,通过改进对雷达回波图像序... 详细信息

为提升现有神经网络对雷达回波序列的时、空特征提取能力,建立外推性能更优的时、空序列预测模型,开展雷达回波外推算法改进研究。基于深圳市气象局与中国香港天文台共同建立的雷达回波数据集,在数据处理层面,通过改进对雷达回波图像序列归一化的方法,提升了常用的5种时、空序列预测模型对强回波的预测水平;在模型算法层面,将两个联立的自注意力结构引入ST-LSTM结构,组成新的循环门控单元,并将这些循环门控单元进行堆叠,建立ST-SARNN模型。选用CSI和POD作为精度评价指标,进行模型对比分析得到:(1)改进的归一化方法提升了近几年内常用的5种时、空序列预测模型对强回波的预测水平。(2)加入自注意力的ST-SARNN模型对雷达回波的预测性能显著优于ConvLSTM、PredRNN和MIM等模型。改进的归一化方法能改变样本数据分布,并在一定程度上提升模型外推性能;自注意力结构能够有效挖掘雷达回波序列的时、空特征,进而改进神经网络的外推表现。

关键词：雷达回波外推自注意力机制循环神经网络数据归一化方法

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Preparation of activated carbon with high surface area for high-capacity methane storage

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Journal of Energy Chemistry 2014年第5期23卷 662-668页

作者： Bingsi Liu wenshuo wang Na wang (Peter) Chak Tong Au Department of Chemistry School of Science Tianjin University Department of Chemistry Hong Kong Baptist UniversityKowloon Tong Hong Kong China

Activated carbon （AC） was fabricated from corncob, which is cheap and abundant. Experimental parameters such as particle size of corncob, KOHlchar weight ratio, and activation temperature and time were optimized to generate AC, which shows high methane sorption capacity. AC has high specific surface area （3227 m^2/g）, with pore volume and pore size distribution equal to 1.829 cm^3/g and ca. 1.7-2.2 nm, respectively. Under the condition of 2℃ and less than 7.8 MPa, methane sorption in the presence of water （Rw = 1.4） was as high as 43.7 wt% methane per unit mass of dry AC. The result is significantly higher than those of coconut-derived AC （32 wt%） and ordered mesoporous carbon （41.2 wt%, Rw = 4.07） under the same condition. The physical properties and amorphous chaotic structure of AC were characterized by N2 adsorption isotherms, XRD, SEM and HRTEM. Hence, the corncob-derived AC can be considered as a competitive methane-storage material for vehicles, which are run by natural gas. Key words

关键词： corncob activated carbon methane storage hydrate adsorption

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Analysis of Unstarted Hypersonic Flow Unsteadiness Based on Schlieren Image Processing

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Transactions of Nanjing University of Aeronautics and Astronautics 2019年第5期36卷 856-867页

作者： wang Chengpeng wang wenshuo XUE Longsheng XU Pei YANG Jinfu College of Aerospace Engineering Nanjing University of Aeronautics & Astronautics

The unstarted flow field in a hypersonic inlet model at a design point of Ma 6 is studied *** time-resolved spatial flow characteristics of the separation shock oscillation,which is induced by the unstarted flow,are analyzed based on a high-speed Schlieren system and an image processing *** motion of the separation shock detected by the shock-detection algorithm is compared to the results of fast-response wall-pressure measurements,and good agreement is demonstrated by comparing the frequency components in the power spectral density contours between shock oscillation and pressure *** hysteresis of the pressure and separation shock during oscillation cycles is observed from the time history of the shock motion,which means that the unsteady flow pattern of the unstarted hypersonic flow can be accurately clarified by time-resolved Schlieren image *** results convincingly demonstrate that the shock-detection technique is successfully applied to an unstarted hypersonic flow case.

关键词： shock-detection system hypersonic inlet flow unstarted flow

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Decision-Making in Driver-Automation Shared Control:A Review and Perspectives

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IEEE/CAA Journal of Automatica Sinica 2020年第5期7卷 1289-1307页

作者： wenshuo wang Xiaoxiang Na Dongpu Cao Jianwei Gong Junqiang Xi Yang Xing Fei-Yue wang IEEE California PATH University of CaliforniaBerkeleyCA 94720 USA Department of Engineering University of CambridgeCambridge CB21PZU.K. Mechanical and Mechatronics Engineering University of WaterlooWaterloo N2L3G1Canada Department of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Research Center for Military Computational Experiments and Parallel Systems TechnologyNational University of Defense TechnologyChangsha 410073China

Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver’s abilities to *** human driver,as an essential agent in the driver-vehicle shared control systems,should be precisely modeled regarding their cognitive processes,control strategies,and decision-making *** interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of *** open-ended questions arise,such as what proper role of human drivers should act in a shared control scheme?How to make an intelligent decision capable of balancing the benefits of agents in shared control systems?Due to the advent of these attentions and questions,it is desirable to present a survey on the decision making between human drivers and highly automated vehicles,to understand their architectures,human driver modeling,and interaction strategies under the driver-vehicle shared ***,we give a further discussion on the key future challenges and *** are likely to shape new potential research directions.

关键词： Automated vehicle decision-making human driver human-vehicle interaction shared control

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