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异形多腔钢管混凝土分叉短柱抗震性能试验及数值计算

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振动与冲击 2024年第4期43卷 115-124页

作者：武海鹏崔舒蓉钟志伟王晓蒙甘迈曹万林中国矿业大学(北京)力学与土木工程学院北京100083 北京工业大学城市建设学部北京100124

针对某超高层巨型框架结构中异形截面多腔钢管混凝土(concrete-filled steel tube, CFT)分叉柱,为研究截面加强构造对分叉短柱抗震性能的影响,进行了4个试件在竖向轴压力及水平往复两次的低周反复荷载下的抗震性能试验研究,试件上部为... 详细信息

针对某超高层巨型框架结构中异形截面多腔钢管混凝土(concrete-filled steel tube, CFT)分叉柱,为研究截面加强构造对分叉短柱抗震性能的影响,进行了4个试件在竖向轴压力及水平往复两次的低周反复荷载下的抗震性能试验研究,试件上部为五边形四腔体钢管混凝土双柱肢,下部为八边形十三腔体钢管混凝土单柱肢,以此形成分叉柱;研究的截面构造包括四种:基本构造,钢管钢板整体加厚构造,距中和轴较远的钢管角部钢板内表面贴焊等肢角钢的局部钢板加厚构造,距中和轴较远的钢管腔体内置圆钢管构造。基于试验结果及截面构造特点,进行了数值计算。试验及数值计算结果表明:异形截面多腔钢管混凝土分叉短柱的破坏主要发生在上柱根部分叉截面处,表现为距离中性轴较远处的钢板撕裂以及局部焊缝开裂引起的整块钢板撕裂;内置圆钢管的加强构造承载力提高7.6%、变形能力提高14.4%,综合耗能能力最强,局部钢板加强构造承载力提高9.2%、变形能力下降18.7%,钢管钢板整体加厚构造承载力略有提高、但变形能力下降较多;提出的异形多腔钢管混凝土柱简化建模方法计算效率较高,精度满足工程设计要求。

关键词：钢管混凝土(CFT) 分叉短柱异形截面多腔抗震性能

GraphSTGAN:Situation understanding network of slow-fast high maneuvering targets for maritime monitor services of IoT data

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Digital Communications and Networks 2024年第3期10卷 620-630页

作者： Guanlin wu haipeng Wang Yu Liu You He Shenzhen International Graduate School Tsinghua UniversityShenzhen518071China Institute of Space Science and Applied Technology Harbin Institute of TechnologyShenzhen518055China Department of Electronic Engineering Tsinghua UniversityBeijing100084China

With the rapid growth of the maritime Internet of Things(IoT)devices for Maritime Monitor Services(MMS),maritime traffic controllers could not handle a massive amount of data in *** unmanned MMS,one of the key technologies is situation ***,the presence of slow-fast high maneuvering targets and track breakages due to radar blind zones make modeling the dynamics of marine multi-agents difficult,and pose significant challenges to maritime situation *** order to comprehend the situation accurately and thus offer unmanned MMS,it is crucial to model the complex dynamics of multi-agents using IoT big ***,previous methods typically rely on complex assumptions,are plagued by unstructured data,and disregard the interactions between multiple agents and the spatial-temporal correlations.A deep learning model,Graph Spatial-Temporal Generative Adversarial Network(GraphSTGAN),is proposed in this paper,which uses graph neural network to model unstructured data and uses STGAN to learn the spatial-temporal dependencies and *** experiments show the effectiveness and robustness of the proposed method.

关键词： Internet of things Multi-agents Graph neural network Maritime monitoring services

Insights into a novel nitrogen removal process based on simultaneous anammox and denitrification(SAD) following nitritation with in-situ NOB elimination

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Journal of Environmental Sciences 2023年第3期125卷 160-170页

作者： Jing Chen Jia Zeng Yiran He Shiquan Sun haipeng wu Yaoyu Zhou Zhenguo Chen Jianhui Wang Hong Chen School of Hydraulic and Environmental Engineering Changsha University of Science&TechnologyChangsha 410114China Engineering and Technical Center of Hunan Provincial Environmental Protection for River-Lake Dredging Pollution Control Changsha 410114China College of Resources and Environment Hunan Agricultural UniversityChangsha 410128China School of Environment and Energy South China University of TechnologyGuangzhou 510006China School of Food science and Bioengineering Changsha University of Science&TechnologyChangsha 410114China

Simultaneous anammox and denitrification(SAD) is an efficient approach to treat wastewater having a low C/N ratio;however, few studies have investigated a combination of SAD and partial nitritation(PN). In this study, a lab-scale up-flow blanket filter(UBF) and zeolite sequence batch reactor(ZSBR) were continuously operated to implement SAD and PN advantages, respectively. The UBF achieved a high total nitrogen(TN) removal efficiency of over 70% during the start-up stage(days 1–50), and reached a TN removal efficiency of 96%in the following 90 days(days 51–140) at COD/NH_(4)^(+)-N ratio of 2.5. The absolute abundance of anammox bateria increased to the highest value of 1.58 × 107copies/μL DNA;Comamonadaceae was predominant in the UBF at the optimal ratio. Meanwhile, ZSBR was initiated on day 115 as fast nitritation process to satisfy the influent requirement for the UBF. The combined process was started on day 140 and then lasted for 30 days, during the combined process, between the two reactors, the UBF was the main contributor for TN(66.5% ± 4.5%)and COD(71.8% ± 4.9%) removal. These results demonstrated that strong SAD occurred in the UBF when following a ZSBR with in-situ NOB elimination. This research presents insights into a novel biological nitrogen removal process for low C/N ratio wastewater treatment.

关键词： Simultaneous anammox and denitrification Up-flow blanket filter Zeolite sequence batch reactor Biological nitrogen removal Wastewater treatment

亲子鉴定中23个常染色体STR基因座突变分析

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中国医科大学学报 2024年第4期53卷 363-366页

作者：郭振民武海鹏霍志鑫张科文赵旭东苏丽娟内蒙古医科大学基础医学院法医学教研室呼和浩特010059 内蒙古慧眼司法鉴定所法医物证实验室呼和浩特010070

收集2019年至2023年内蒙古医科大学司法鉴定中心1360份鉴定结果均为“认定”的亲子鉴定案例,分析案例中23个短串联重复序列(STR)位点的突变现象。在23个STR基因座总计1840次的遗传传递中,共观察到41例突变,包括40例一步突变和1例三步突... 详细信息

收集2019年至2023年内蒙古医科大学司法鉴定中心1360份鉴定结果均为“认定”的亲子鉴定案例,分析案例中23个短串联重复序列(STR)位点的突变现象。在23个STR基因座总计1840次的遗传传递中,共观察到41例突变,包括40例一步突变和1例三步突变;41例突变中,有1例突变来源不明;其余40例中,来自父系的突变32例,来自母系的突变8例,父源概率大于母源。本研究对亲子鉴定案件的检测结果进行统计分析,评价其在亲子鉴定中的应用价值,并探讨了STR基因座的突变现象、突变率及突变特征。

关键词：法医学遗传学突变分析亲子鉴定短串联重复序列

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中美欧通讯杆塔标准中风荷载设计的对比研究

纤维复合材料 2024年第1期41卷 36-39页

作者：武海鹏孙云龙刘鑫燚张云峰谢铁秦哈尔滨玻璃钢研究院有限公司哈尔滨150028

5G建设对通讯杆塔的承载提出更高要求,风载荷是通讯杆塔承载力的重要设计组成,对不同标准下风荷载参数的研究分析有着重要的工程意义。本文通过对中、美、欧不同标准中风载荷的参数如地形地貌、荷载动态参数、风压高度变化系数等进行对... 详细信息

5G建设对通讯杆塔的承载提出更高要求,风载荷是通讯杆塔承载力的重要设计组成,对不同标准下风荷载参数的研究分析有着重要的工程意义。本文通过对中、美、欧不同标准中风载荷的参数如地形地貌、荷载动态参数、风压高度变化系数等进行对比,为相关涉外通讯工程的风荷载计算提供参考。同时,探讨了复合材料在通讯杆塔领域中应用的优势。

关键词： 5G 风载荷通讯杆塔标准复合材料

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Analysis and seismic tests of composite shear walls with CFST columns and steel plate deep beams

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Earthquake Engineering and Engineering Vibration 2013年第4期12卷 609-624页

作者： Dong Hongying Cao Wanlin wu haipeng Zhang Jianwei Xu Fangfang College of Architecture and Civil Engineering Beijing University of Technology

A composite shear wall concept based on concrete filled steel tube （CFST） columns and steel plate （SP） deep beams is proposed and examined in this study. The new wall is composed of three different energy dissipation elements： CFST columns; SP deep beams; and reinforced concrete （RC） strips. The RC strips are intended to allow the core structural elements - the CFST columns and SP deep beams - to work as a single structure to consume energy. Six specimens of different configurations were tested under cyclic loading. The resulting data are analyzed herein. In addition, numerical simulations of the stress and damage processes for each specimen were carried out, and simulations were completed for a range of location and span-height ratio variations for the SP beams. The simulations show good agreement with the test results. The core structure exhibits a ductile yielding mechanism characteristic of strong column-weak beam structures, hysteretic curves are plump and the composite shear wall exhibits several seismic defense lines. The deformation of the shear wall specimens with encased CFST column and SP deep beam design appears to be closer to that of entire shear walls. Establishing optimal design parameters for the configuration of SP deep beams is pivotal to the best seismic behavior of the wall. The new composite shear wall is therefore suitable for use in the seismic design of building structures.

关键词： concrete filled steel tube (CFST) column steel plate (SP) deep beam composite shear wall seismic test calculation and analysis

Experimental and analytical study on seismic behavior of steel-concrete multienergy dissipation composite shear walls

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Earthquake Engineering and Engineering Vibration 2015年第1期14卷 125-139页

作者： Dong Hongying Cao Wanlin wu haipeng Qiao Qiyun Yu Chuanpeng College of Architecture and Civil Engineering Beijing University of Technology

In this paper, a steel-concrete multi-energy dissipation composite shear wall, comprised of steel-reinforced concrete （SRC） columns, steel plate （SP） deep beams, a concrete wall and energy dissipation strips, is proposed. In order to study the multi-energy dissipation behavior and restorability after an earthquake, two stages of low cyclic loading tests were carded out on ten test specimens. In the first stage, test on five specimens with different number of SP deep beams was carried out, and the test lasted until the displacement drift reached 2%. In the second stage, thin SPs were welded to both sides of the five specimens tested in the first stage, and the same test was carried out on the repaired specimens （designated as new specimens）. The load-bearing capacity, stiffness, ductility, hysteretic behavior and failure characteristics were analyzed for both stages and the results are discussed herein. Extrapolating from these results, strength calculation models and formulas are proposed herein and simulations using ABAQUS carried out, they show good agreement with the test results. The study demonstrates that SRC columns, SP deep beams, concrete wall and energy dissipation strips cooperate well and play an important role in energy dissipation. In addition, this study shows that the shear wall has good recoverability after an earthquake, and that the welding of thin SP＇s to repair a deformed wall is a practicable technique.

关键词： steel reinforced concrete steel plate deep beam multi energy dissipation composite shear wall seismic behavior

PHUI-GA: GPU-based efficiency evolutionary algorithm for mining high utility itemsets

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Journal of Systems Engineering and Electronics 2024年第4期35卷 965-975页

作者： JIANG haipeng wu Guoqing SUN Mengdan LI Feng SUN Yunfei FANG Wei Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Department of Computer Science and TechnologyJiangnan UniversityWuxi 214122China China Ship Scientific Research Center Wuxi 214082China Taihu Laboratory of Deepsea Technological Science Wuxi 214082China Department of Mathematics Nanjing UniversityNanjing 210023China

Evolutionary algorithms(EAs)have been used in high utility itemset mining(HUIM)to address the problem of discover-ing high utility itemsets(HUIs)in the exponential search *** have good running and mining performance,but they still require huge computational resource and may miss many *** to the good combination of EA and graphics processing unit(GPU),we propose a parallel genetic algorithm(GA)based on the platform of GPU for mining HUIM(PHUI-GA).The evolution steps with improvements are performed in central processing unit(CPU)and the CPU intensive steps are sent to GPU to eva-luate with multi-threaded *** show that the mining performance of PHUI-GA outperforms the existing *** mining 90%HUIs,the PHUI-GA is up to 188 times better than the existing EAs and up to 36 times better than the CPU parallel approach.

关键词： high utility itemset mining(HUIM) graphics process-ing unit(GPU)parallel genetic algorithm(GA) mining perfor-mance

COVID-19 risk prediction scores for mortality:A validation study from the National Registry of COVID-19 in China

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Chinese Medical Journal 2024年第6期137卷 743-745页

作者： Sui Peng Kelvin KF Tsoi Jianfeng wu Steve HL Yim Haibo Wang Qian Zhou Han Xiao Zongpeng Weng Bin Li Ming Kuang Jianyan Long Joseph JY Sung haipeng Xiao Clinical Trials Unit The First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhouGuangdong 510080China Stanley Ho Big Data Decision Analytics Research Centre The Chinese University of Hong KongHong Kong 999077China JC School of Public Health and Primary Care The Chinese University of Hong KongHong Kong 999077China Department of Critical Care Medicine The First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhouGuangdong 510080China Department of Geography and Resource Management The Chinese University of Hong KongHong Kong 999077China Department of Medical Ultrasonics Institute of Diagnostic and Interventional UltrasoundThe First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhouGuangdong 510080China Department of Liver Surgery The First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhouGuangdong 510080China Department of Medicine and Therapeutics The Chinese University of Hong KongHong Kong 999077China Department of Endocrinology Precision Medicine InstituteThe First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhouGuangdong 510080China

To the Editor:Coronavirus disease 2019(COVID-19)has evolved into a global pandemic,with over 700 million confirmed cases worldwide and still mounting.^([1])The clinical impact of this pandemic is immense,given the wide spectrum of disease manifestation,ranging from mild respiratory symptoms to severe pulmonary *** high-risk individuals,especially during their initial encounters in clinics and hospital emergency services,is crucial to provide timely effective ***,the timely risk stratification of COVID-19 patients in the emergency room can greatly benefit both infected individuals and healthcare professionals.^([2])This study aims to identify features of serious COVID-19 infection at presentation that may lead to mortality of the patients.

关键词： mortality respiratory prediction