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Fatigue crack in large-scale tubular joints for offshore structures

Science China(Technological Sciences) 2011年第3期54卷 705-714页

作者： Chul-Hee JO Sung-Woo IM Won-Chul CHO Kwan-Kyu PARK Department of Naval Architecture and Ocean Engineering Inha University Research Institute of Industrial Science and Technology Department of Civil & Environmental Engineering Chung-Ang University samsung heavy industry inc.

Tubular members have been used for constructing offshore structures. Large-scale fatigue tests of welded tubular K-joints under the balanced in-plane bending brace were carried out to investigate the fatigue behavior of API 2W Gr.50 steel produced by POSCO. The experimental results were verified by numerical approaches and compared with the IIW, DnV RP-C203 and API RP 2A-WSD design curves. The test results based on the hot spot stress were in agreement with the design curves. The SCF factor for tubular K-joint was also obtained. The numerical parametric study of the K-joint (using the finite element program) was described and its results were compared with experimental results. The stress effects of various parameters inc.uding α, β, γ, τ and θ on the stress in the K-joint were investigated. The stress distribution for each parameter was introduced. The study showed that the maximum stress of the joint varied according to the variation of joint parameters.

关键词：海洋结构物疲劳裂纹管接头热点应力设计曲线弯曲试验机挪威船级社有限元程序

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Joint parameter and state estimation for stochastic uncertain system with multivariate skew t noises

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Chinese Journal of Aeronautics 2022年第5期35卷 69-86页

作者： Shuhui LI Zhihong DENG Xiaoxue FENG Ruxuan HE Feng PAN School of Automation Beijing Institute of TechnologyBeijing 100081China Kunming-BIT industry Technology Research Institute inc Kunming 650106China

Due to the pulse interference, measurement outliers and artificial modeling errors, the multivariate skew t noise widely exists in the real environment. However, to date, little attention has been paid to the state estimation for systems in which the process noise and the measurement noise are both modeled as the heavy-tailed and skew non-Gaussian noise. In this paper, the multivariate skew t distribution is utilized to model the heavy-tailed and skew non-Gaussian noise. Then a probabilistic graphical form of the multivariate skew t distribution is given and proved. Based on the probabilistic graphical form, a hierarchical Gaussian state space model for stochastic uncertain systems is proposed, which transforms the estimation problem for systems with the heavy-tailed and skew non-Gaussian noises into the one with a hierarchical Gaussian state space model. Next, given the designed Gaussian state space model, the robust Bayesian filter and smoother based on the variational Bayesian inference are proposed to approximately estimate the system state and the unknown noise parameters. Furthermore, the complexity analysis together with the controllability and observability for stochastic uncertain systems with multivariate skew t noises is given. Finally,the simulation results of the target tracking scenario verify the validity of the proposed algorithms.

关键词： Estimation methods Non-Gaussian noise Target tracking Uncertain systems Variational princ.ples

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Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network

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Light(Science & Applications) 2022年第7期11卷 1595-1606页

作者： Geon Kim Daewoong Ahn Minhee Kang Jinho Park DongHun Ryu YoungJu Jo Jinyeop Song Jea Sung Ryu Gunho Choi Hyun Jung Chung Kyuseok Kim Doo Ryeon Chung In Young Yoo Hee Jae Huh Hyun-seok Min Nam Yong Lee YongKeun Park Department of Physics Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea KAIST Institute for Health Science and Technology KAISTDaejeon 34141Republic of Korea Tomocube inc. Daejeon 34109Republic of Korea Smart Healthcare&Device Research Center Samsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351Republic of Korea Graduate School of Nanoscience and Technology Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea Department of Biological Sciences Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea Department of Emergency Medicine Bundang CHA HospitalSeongnam-siGyeonggi-Do 13496Korea Division of Infectious Diseases Department of Internal MedicineSamsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351Republic of Korea Department of Laboratory Medicine Seoul St.Mary's HospitalCollege of MedicineThe Catholic University of KoreaSeoul 06591Republic of Korea Department of Laboratory Medicine and Genetics Samsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351Republic of Korea Department of Applied Physics Stanford UniversityStanfordCA 94305USA Department of Physics Massachusetts Institute of TechnologyCambridgeMA 02139USA

The healthcare industry is in dire need of rapid microbial identification techniques for treating microbial *** infections are a major healthcare issue worldwide,as these widespread diseases often develop into deadly *** studies have shown that an early appropriate antibiotic treatment significantly reduces the mortality of an infection,this effective treatment is difficult to *** main obstacle to early appropriate antibiotic treatments is the long turnaround time of the routine microbial identification,which inc.udes time-consuming sample ***,we propose a microscopy-based framework that identifies the pathogen from single to few *** framework obtains and exploits the morphology of the limited sample by inc.rporating three-dimensional quantitative phase imaging and an artificial neural *** demonstrate the identification of 19 bacterial species that cause bloodstream infections,achieving an accuracy of 82.5%from an individual bacterial cell or *** performance,comparable to that of the gold standard mass spectroscopy under a sufficient amount of sample,underpins the effectiveness of our framework in clinical ***,our accuracy inc.eases with multiple measurements,reaching 99.9%with seven different measurements of cells or *** believe that our framework can serve as a beneficial advisory tool for clinicians during the initial treatment of infections.

关键词： artificial neural exploit

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Improved Hybrid Swarm Intelligence for Optimizing the Energy in WSN

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Computer Systems Science & Engineering 2023年第8期46卷 2527-2542页

作者： Ahmed Najat Ahmed JinHyung Kim Yunyoung Nam Mohamed Abouhawwash Department of Computer Engineering Lebanese French UniversityErbil44001Iraq B LIFE inc. Suwon16463Korea Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

In this current century,most industries are moving towards automation,where human intervention is dramatically *** revolution leads to industrial revolution 4.0,which uses the Internet of Things(IoT)and wireless sensor networks(WSN).With its associated applications,this IoT device is used to compute the receivedWSN data from devices and transfer it to remote locations for *** general,WSNs,the gateways are a long distance from the base station(BS)and are communicated through the gateways nearer to the *** the gateway,which is closer to the BS,energy drains faster because of the heavy load,which leads to energy issues around the *** the sensors are battery-operated,either replacement or recharging of those sensor node batteries is not possible after it is deployed to their corresponding *** that situation,energy plays a vital role in sensor *** reducing the network energy consumption and inc.easing the network lifetime,this paper proposed an efficient cluster head selection using Improved Social spider Optimization with a Rough Set(ISSRS)and routing path selection to reduce the network load using the Improved Grey wolf optimization(IGWO)approach.(i)Using ISSRS,the initial clusters are formed with the local nodes,and the cluster head is chosen.(ii)Load balancing through routing path selection using *** simulation results prove that the proposed optimization-based approaches efficiently reduce the energy through load balancing compared to existing systems in terms of energy efficiency,packet delivery ratio,network throughput,and packet loss percentage.

关键词： Wireless sensor networks(WSN) internet of things(IoT) energy efficiency load balance sensors grey wolf optimization social spider optimization

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油气采输行业对高温FBE涂层的新需求

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涂层与防护 2018年第5期39卷 1-8页

作者：冯少广饶珊中国石油天然气集团公司油气储运重点实验室.中国石油管道科技研究中心河北廊坊065000 A Plus Coating Solutions inc.

传统熔结环氧粉末涂层(FBE)的玻璃化温度(Tg)通常<110℃,主要用于最高操作温度<95℃的管线。为满足全球对石油及天然气不断增加的需求,油气开采不断向深海领域延伸。但随着开采的延伸,采出的重原油具有更高的出口温度及高黏度特性,需要... 详细信息

传统熔结环氧粉末涂层(FBE)的玻璃化温度(Tg)通常<110℃,主要用于最高操作温度<95℃的管线。为满足全球对石油及天然气不断增加的需求,油气开采不断向深海领域延伸。但随着开采的延伸,采出的重原油具有更高的出口温度及高黏度特性,需要输送管道具有更高的操作温度(110~140℃),这对FBE防腐涂层提出了更高的要求。深海开采时管线操作温度较高,要求FBE具有更高的玻璃化温度以保障对管道的有效防腐。此外,油井管内防腐、高温蒸汽回注以及长输高温管线都需要FBE涂层具备更高的玻璃化温度以保证整体性能。本文阐述了各严酷应用环境中对高温FBE涂层的要求,同时总结了目前已商品化的高温FBE涂层,以期对国内环氧粉末企业拓展产品类型与应用领域提供借鉴。

关键词：熔结环氧粉末涂层(FBE) 管道涂层高温玻璃化温度

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