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Experimental and numerical study regarding H-steel all-bolted connection steel frame with composite wall boards

Earthquake Engineering and Engineering Vibration 2024年第2期23卷 427-443页

作者： Fan Min Guo Hongchao Li Shen Wang Zhenshan Wang huaqiang School of Civil Engineering and Architecture Xi’an University of TechnologyXi’an 710048China State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area Xi’an University of TechnologyXi’an 710048China

H-steel all-bolted connection steel frame structures with heat preservation and decoration composite wall boards were investigated and the seismic performances of three scaled specimens were studied.The failure modes,hysteresis curves,bearing capacity,ductility,energy dissipation capacity,stiffness degradation and strain distribution were discussed.The calculation method of structural theoretical internal force was presented.The results showed that the overall structural seismic performance was better,and the structural ductility met the demands of elastic-plastic inter-story drift angle for seismic design.The H-steel weak-axis connection structure obtained better energy dissipation capacity,and its bearing capacity and stiffness were slightly different from the strong-axis connection.The heat preservation and decoration performance of composite wallboard and the all-bolted connection of the steel frame realized prefabrication during the whole construction period.The plastic hinge of the steel beam can be moved outwards because of the L-angles,which effectively avoids stress concentration in joint areas and expands the plastic hinge range.The errors between the theoretical structural capacity calculated by the plastic analysis method and the test results were within 2.44%.In addition,structural failure mechanisms and bearing capacities were verified by the finite element(FE)analysis,and the effects of the main parameters on the structures were investigated.The FE verification results were the same as in the test.The research results provide theoretical support and technical guidance for the application of thermal insulation and decorative composite wall panels in H-shaped steel all-bolted steel frames.

关键词： composite wall boards all-bolted steel frame H-steel low-cyclic loading failure modes

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Hydrogen bond-bridged phosphorene flexible film for photodynamic inhibiting Staphylococcus aureus

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Nano Research 2024年第6期17卷 5461-5468页

作者： Ziyu Wei Wenting Li Zhifang Liu Yongfa Zhu huaqiang Cao Department of Chemistry Engineering Research Center of Advanced Rare Earth MaterialsTsinghua UniversityBeijing 100084China

Antibiotics are a widely used and effective treatment for bacterial infections.However,bacteria can gradually evolve during infection,leading to developing resistance to antibiotics,which renders previously effective treatments ineffective.Finding a useful and convenient manner to treat bacterial infections is a great challenge.Here,we report a flexible hydrogen-bond-bridged phosphorene film with photodynamic antibacterial properties and excellent mechanical properties,fabricated from electrochemical exfoliation of black phosphorus(BP).When illuminated under 700 nm light,the hydrogen bond-bridged phosphorene flexible film is capable of converting ground-state triplet oxygen(O_(2))into excited-state singlet oxygen(^(1)O_(2)),destroying the structure of the membrane of Staphylococcus aureus,and eventually leading to bacterial death,via breaking the C=C of unsaturated fatty acids within the bacterial cell membrane after the reaction between^(1)O_(2)and unsaturated fatty acids,thus realizing a highly efficient antibacterial approach,which is supported by gas chromatography-mass spectrometry(GC-MS)technique.This work establishes an effective phototherapy platform for treating bacterial traumatic infections.

关键词： hydrogen bond-bridged phosphorene flexible film photodynamic Staphylococcus aureus

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ThyroidNet:A Deep Learning Network for Localization and Classification of Thyroid Nodules

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 361-382页

作者： Lu Chen huaqiang Chen Zhikai Pan Sheng Xu Guangsheng Lai shuwen Chen shuihua Wang Xiaodong Gu Yudong Zhang Ultrasonic Department Zhongda Hospital Affiliated to Southeast UniversityNanjing210009China School of Physics and Information Engineering Jiangsu Second Normal UniversityNanjing211200China School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia State Key Laboratory of MillimeterWaves Southeast UniversityNanjing210096China Jiangsu Province Engineering Research Center of Basic Education Big Data Application Jiangsu Second Normal UniversityNanjing211200China School of Software Engineering Quanzhou Normal UniversityQuanzhou362000China Department of Biological Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou215123China

Aim:This study aims to establish an artificial intelligence model,ThyroidNet,to diagnose thyroid nodules using deep learning techniques accurately.Methods:A novel method,ThyroidNet,is introduced and evaluated based on deep learning for the localization and classification of thyroid nodules.First,we propose the multitask TransUnet,which combines the TransUnet encoder and decoder with multitask learning.Second,we propose the DualLoss function,tailored to the thyroid nodule localization and classification tasks.It balances the learning of the localization and classification tasks to help improve the model’s generalization ability.Third,we introduce strategies for augmenting the data.Finally,we submit a novel deep learning model,ThyroidNet,to accurately detect thyroid nodules.Results:ThyroidNet was evaluated on private datasets and was comparable to other existing methods,including U-Net and TransUnet.Experimental results show that ThyroidNet outperformed these methods in localizing and classifying thyroid nodules.It achieved improved accuracy of 3.9%and 1.5%,respectively.Conclusion:ThyroidNet significantly improves the clinical diagnosis of thyroid nodules and supports medical image analysis tasks.Future research directions include optimization of the model structure,expansion of the dataset size,reduction of computational complexity and memory requirements,and exploration of additional applications of ThyroidNet in medical image analysis.

关键词： ThyroidNet deep learning TransUnet multitask learning medical image analysis

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Industry-Oriented Detection Method of PCBA Defects Using Semantic Segmentation Models

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1438-1446页

作者： Yang Li Xiao Wang Zhifan He Ze Wang Ke Cheng Sanchuan Ding Yijing Fan Xiaotao Li Yawen Niu Shanpeng Xiao Zhenqi Hao Bin Gao huaqiang Wu Department of Internet of Things Technology and Application China Mobile Research InstituteBeijing 100053China Beijing Advanced Innovation Center for Integrated Circuits the School of Integrated CircuitTsinghua UniversityBeijing 100084China SigmaStar Technology Limited Xiamen 361199China IEEE

Automated optical inspection(AOI)is a significant process in printed circuit board assembly(PCBA)production lines which aims to detect tiny defects in PCBAs.Existing AOI equipment has several deficiencies including low throughput,large computation cost,high latency,and poor flexibility,which limits the efficiency of online PCBA inspection.In this paper,a novel PCBA defect detection method based on a lightweight deep convolution neural network is proposed.In this method,the semantic segmentation model is combined with a rule-based defect recognition algorithm to build up a defect detection frame-work.To improve the performance of the model,extensive real PCBA images are collected from production lines as datasets.Some optimization methods have been applied in the model according to production demand and enable integration in lightweight computing devices.Experiment results show that the production line using our method realizes a throughput more than three times higher than traditional methods.Our method can be integrated into a lightweight inference system and pro-mote the flexibility of AOI.The proposed method builds up a general paradigm and excellent example for model design and optimization oriented towards industrial requirements.

关键词： Automated optical inspection(AOI) deep learning defect detection printed circuit board assembly(PCBA) semantic segmentation.

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Metal ion metabolism and osteoporosis:possible implications for pharmaceutical biotechnology and tissue engineering

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Science China Life Sciences 2024年第8期 1763-1765页

作者： huaqiang Tao Qiufei Wang Kai Chen Pengfei Zhu Ye Gu Dechun Geng Department of Orthopedics The First Affiliated Hospital of Soochow University Department of Orthopedics Changshu Hospital Affiliated to Soochow UniversityFirst People's Hospital of Changshu City Department of Orthopedics Hai'an People's Hospital

Osteoporosis(OP) is a systemic metabolic bone disease characterized by low bone mass,damage to bone microstructure and increased bone fragility.The imbalance of functional coupling between osteoblasts and osteoclasts ...

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组织工匠精神感知对员工主动创新行为的影响研究:工作激情和完美主义的作用

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中国人力资源开发 2024年第1期41卷 21-34页

作者：王华强姜鑫李丹长江大学经济与管理学院荆州434023 中南财经政法大学工商管理学院武汉430073

尽管个体工匠精神的职场效应已获得较为丰富的研究成果,然而关于组织层面的工匠精神如何为员工所接受并塑造员工行为却付之阙如。基于工作激情双元模型,本研究探讨了组织工匠精神感知对员工主动创新行为的影响机制,深入分析了工作激情... 详细信息

尽管个体工匠精神的职场效应已获得较为丰富的研究成果,然而关于组织层面的工匠精神如何为员工所接受并塑造员工行为却付之阙如。基于工作激情双元模型,本研究探讨了组织工匠精神感知对员工主动创新行为的影响机制,深入分析了工作激情的中介作用和完美主义的调节作用。通过对三阶段的528份数据分析发现:组织工匠精神感知通过增加和谐式工作激情、减少强迫式工作激情,进而促进主动创新行为。在这个过程中,自我导向完美主义加强了组织工匠精神感知对和谐式工作激情的积极作用,社会导向完美主义削弱了组织工匠精神感知对强迫式工作激情的消极作用。本研究丰富了工匠精神的相关理论研究,为企业推行组织工匠精神提供了建议。

关键词：组织工匠精神感知和谐式工作激情强迫式工作激情主动创新行为自我导向完美主义社会导向完美主义

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横向磁通永磁直线电机电磁振动特性分析

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电工技术学报 2024年第1期39卷 168-181页

作者：赵玫赵君左思承禹国栋张华强哈尔滨工业大学电气工程及自动化学院哈尔滨150001 特种电机与高压电器教育部重点实验室(沈阳工业大学) 沈阳110023 国网江西省电力有限公司超高压分公司南昌330096

横向磁通永磁直线电机的电负荷与磁负荷相互解耦,且各相之间相互解耦,易于实现模块化和多相化,因此在石油开采领域有着良好的应用前景。首先,该文基于磁场调制原理,对横向磁通永磁直线电机的径向电磁力波进行了推导计算,得出对径向电磁... 详细信息

横向磁通永磁直线电机的电负荷与磁负荷相互解耦,且各相之间相互解耦,易于实现模块化和多相化,因此在石油开采领域有着良好的应用前景。首先,该文基于磁场调制原理,对横向磁通永磁直线电机的径向电磁力波进行了推导计算,得出对径向电磁力波影响最大的因素为轴向气隙磁通密度分量与径向气隙磁通密度分量,在此基础上对径向电磁力波的时空特性与频谱特性进行仿真计算,得出电枢磁通密度对电机径向电磁力波的频谱特性的影响;然后,考虑到电机实际运行中可能出现的次级偏心问题,揭示偏心度的大小对径向电磁力波幅值的影响,并对比不同偏心度下的电机径向磁拉力与轴向磁拉力,定量分析偏心度对不平衡磁拉力的影响;最后,为避免共振,利用有限元软件对电机的初级进行了模态分析与谐响应分析,结果表明低速状态下横向磁通永磁直线电机的额定运行频率较低,不会引起初级的共振,适合用作往复式潜油电泵的驱动电机。

关键词：横向磁通永磁直线电机径向电磁力波电磁振动偏心度

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基于水流特性的桥区船舶通航风险分析

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东南大学学报（自然科学版） 2024年第3期54卷 717-723页

作者：耿艳芬郭梦雅陈会郭华强东南大学交通学院南京211189 Department of Civil and Environmental Engineering University of South CarolinaColumbia 29201USA

为评估桥区船舶通航风险,构建考虑船舶运动特性的三维流场模型,研究水流影响下船舶过桥行为的偏航特性和受力特性.确定桥梁和船舶的通航风险评估分级标准,建立了基于模糊逻辑的船舶顺流通航风险评估模型.结果表明,桥墩间距风险等级划分... 详细信息

为评估桥区船舶通航风险,构建考虑船舶运动特性的三维流场模型,研究水流影响下船舶过桥行为的偏航特性和受力特性.确定桥梁和船舶的通航风险评估分级标准,建立了基于模糊逻辑的船舶顺流通航风险评估模型.结果表明,桥墩间距风险等级划分临界值为40和60 m,具体分级标准因水期的不同而异.船速在枯水期、中水期和洪水期的低风险范围分别为1.6~2.5、2.0~2.5和1.6~2.0 m/s.洪水期通航风险高于其他时期,主要表现为通航尺度受限时的撞桥事故.相比于传统评估模型,所提模型根据船舶直接受力与运动表现来确定桥梁、水流和船速等因素分级标准,简化了评价指标体系,降低了模型主观性.

关键词：桥区水域通航风险水动力模拟水流特性

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鄱阳湖地区级配不良偏细砂砾石料力学特性

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河海大学学报（自然科学版） 2024年第2期52卷 69-76页

作者：吴平凌华石北啸傅华韩华强中铁水利水电规划设计集团有限公司江西南昌330029 南京水利科学研究院岩土工程研究所江苏南京210029 水利部水库大坝安全重点实验室江苏南京210029

基于大型三轴试验数据,研究了级配和相对密度D_(r)对鄱阳湖地区级配不良偏细砂砾石料强度和变形特性的影响。结果表明:随着小于5 mm粒径颗粒质量分数的增加,砂砾石料压实性能降低;随着大于5 mm粒径颗粒质量分数P_(5)和D_(r)的增大,强度... 详细信息

基于大型三轴试验数据,研究了级配和相对密度D_(r)对鄱阳湖地区级配不良偏细砂砾石料强度和变形特性的影响。结果表明:随着小于5 mm粒径颗粒质量分数的增加,砂砾石料压实性能降低;随着大于5 mm粒径颗粒质量分数P_(5)和D_(r)的增大,强度指标、初始切线弹性模量与体积模量增大;本文研究范围内,随P_(5)和D_(r)的增大,强度指标c、φ、φ_(0)、Δφ线性增大,且P^(5)和D_(r)对强度指标的作用效应几乎不存在相互影响;随P 5和D_(r)的增大,邓肯E-B模型参数K、K_(b)增大,且P_(5)越高D_(r)对K、K_(b)的影响越显著,D_(r)越大时P_(5)对K、K_(b)的影响越强烈,存在相互影响效应;提出了考虑级配与D_(r)双重影响的强度指标和变形参数经验计算公式,该公式能高精度预测鄱阳湖地区级配不良偏细砂砾石覆盖层料的力学指标。

关键词：砂砾石料颗粒级配强度指标变形力学特性相对密度鄱阳湖地区

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低压交直流混合下的生态微电网网架结构优化设计

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通信电源技术 2024年第12期41卷 218-220页

作者：殷华强国网河北省电力有限公司馆陶县供电分公司河北邯郸057750

随着低压交直流混合微电网技术的发展,微电网的结构与管理日益复杂化。为提高微电网的运行效率和环境适应性,提出一种微电网网架结构优化设计方案。该方案在分析现有微电网架构的基础上,结合3种优化原则,设计了低压交直流双母线生态微... 详细信息

随着低压交直流混合微电网技术的发展,微电网的结构与管理日益复杂化。为提高微电网的运行效率和环境适应性,提出一种微电网网架结构优化设计方案。该方案在分析现有微电网架构的基础上,结合3种优化原则,设计了低压交直流双母线生态微电网结构。实验结果显示,优化后的微电网结构在低压交流母线、低压直流母线、交直流换流器等关键组件上的可靠性系数均超过0.95,检测5种故障元件的耗时均在0.20 s以内,最低为0.05 s。由此可知,优化后的网架结构不仅能提升微电网的整体性能,而且可以为未来低压交直流混合生态微电网的设计与实施提供重要参考。

关键词：低压交流直流微电网网架结构

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