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Optimal analysis of a multi-server queue with preprocessing time and replenishment inventory 具有预处理时间和补货库存的多服务器队列优化分析
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-11-10 DOI: 10.1080/02533839.2023.2274089
Chia-Huang Wu, Wen-Tso Huang, Jr-Fong Dang, Ming-Yang Yeh
ABSTRACTRecently, e-commerce has had the advantage of lower rental expenses. Convenient online payment has rapidly grown and provides a great business opportunity for enterprises. Inventory management plays a critical role in the competitiveness of most electronic business enterprises. Before the products hit the store shelves or are available online to customers, the quantity and quality of the products should be confirmed and inspected. Thus, in addition to the replenishment lead time, the preprocessing time has essential effects on inventory management. To reduce the inventory cost and determine a proper replenishment policy, we propose a multi-server inventory queue with a preprocessing time, which is seldom mentioned by the existing studies. The steady-state probabilities, system stability conditions, and expressions of several critical system characteristics are derived. Subsequently, the operating cost function is developed to determine the optimal reorder point and an appropriate number of servers with the minimum cost. The established numerical results and sensitivity analysis help managers identify critical variables and enhance operational efficiency.CO EDITOR-IN-CHIEF: Hsieh, Sun-Yuan, Pang, Ai-ChunASSOCIATE EDITOR: He, DebiaoKEYWORDS: Inventory queuematrix-geometric methodoptimal replenishment policypreprocessing time Nomenclature 0=the zero row vectorc=number of serversc∗,s∗,γ∗=the optimization solution at the minimum costCc=cost per serverCh=holding cost of each customer in the systemCI=holding cost per inventory in the systemCγ=cost for providing a specific processing ratee=the identity column vectorE[C]=the expected number of customers in the systemE[I]=the expected number of inventories in the systemF=the expected cost functionM=the replenishment quantityO=the zero matrixP=the steady-state vectorP[ID]=the probability of no customer or inventoryP[IDC]=the probability of an empty systemPi,jk=the steady-state probabilityQ=the transition matrixR=the rate matrixs=reorder point(S)=states for material preprocessing(W)=states for normal operatingx=the invariant probabilityα=the replenishment rateε=criteria for convergence determinationλ=the mean arrival rateμ=the mean service rateΠi=the steady-state sub-vectorγ=the preprocessing rateΩ=set of system statesΩS=set of system states for material preprocessingΩW=set of system states for normal operatingDisclosure statementNo potential conflict of interest was reported by the author(s).
摘要近年来,电子商务具有租金费用较低的优势。便捷的网上支付迅速发展,为企业提供了巨大的商机。库存管理对大多数电子商务企业的竞争力起着至关重要的作用。在产品上架或在网上提供给客户之前,应该对产品的数量和质量进行确认和检查。因此,除了补货前置时间外,预处理时间对库存管理也有重要的影响。为了降低库存成本并确定合适的补货策略,我们提出了一种现有研究中很少提及的具有预处理时间的多服务器库存队列。导出了稳态概率、系统稳定条件和几个关键系统特性的表达式。然后,开发运行成本函数,以确定最优的再订货点和成本最小的适当服务器数量。建立的数值结果和灵敏度分析有助于管理者识别关键变量,提高运营效率。联合主编:谢孙元庞爱春副主编:何德彪库存队列矩阵-几何方法最优补货策略预处理时间术语0=零行向量C =服务器数量C∗,s∗,γ∗=最小成本下的优化解cc =每服务器成本ch =系统中每个客户的持有成本ci =系统中每个库存的持有成本C =提供特定处理速率的成本=身份列向量[C]=系统中客户的预期数量e [I]=系统中库存的预期数量f =预期成本函数m =补货量o =零矩阵xp =稳态向量p [ID]=无客户或库存的概率p [IDC]=空系统的概率i,jk=稳态概率q =过渡矩阵r =速率矩阵x=再订货点(S)=材料预处理状态(W)=正常运行状态x=不变概率α=补货率ε=收敛判定准则λ=平均到达率μ=平均服务rateΠi=稳态子向量γ=预处理rateΩ=系统集statesΩS=材料系统状态集preprocessingΩW=正常运行系统状态集披露声明作者未报告潜在的利益冲突。
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引用次数: 0
Interpretation of bi-directional pile load Tests using instrumented gauge data 用仪器测量数据解释双向桩荷载试验
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-11-08 DOI: 10.1080/02533839.2023.2274082
San-Shyan Lin, Chih-Yu Su, Chen En Chiang, Chwen-Huan Wang
ABSTRACTThis study presents a method that is conventionally used for interpretation of a head-down pile load test, which is modified and extended for a bi-directional pile load test. A parabolic function is used to simulate the load transfer curve along a depth above or below the load cell. The coefficients of the function are obtained by fitting the measured gauge data. Three bored piles are tested using a bi-directional load cell that is installed in the middle of the pile shaft and the results are interpreted using the method of this study. An equivalent head-down load-displacement curve that is obtained using the presented method produces results that are in good agreement with those that are obtained using the conventional method. The relationship between mobilized unit skin friction and displacement that is obtained using the measurement data and using the presented method shows similar trend.CO EDITOR-IN-CHIEF: Ou, Yu-ChenASSOCIATE EDITOR: Ou, Yu-ChenKEYWORDS: Bi-directional load testhead-down load testbored pileequivalent load-displacement curve Nomenclature A=Cross-sectional area of pile.Ac=Concrete cross-sectional area of pile.As=Steel cross-sectional area of pile.C=A centroid factor.Ds=Diameter of Pile.Ec=Elastic modulus of concrete.Ep=Elastic modulus of pile.Es=Elastic modulus of steel.ePR=Pile compression for the pile section below the load cell.ePS=Pile compression for the pile section above the load cell.fRz=Unit shaft resistance.k0=A constant that is determined by regression analysis of back analyzed curve.k1=A constant that is determined by regression analysis of back analyzed curve.L=Total pile length.LR=Pile length for the pile section below the load cell.Ls=Pile length for the pile section on the top of the load cell.Pb=Mobilized base resistance of pile.P0=Equivalent head-down load.PR=Mobilized shaft resistance for the pile section below load cell.Ps=Mobilized shaft resistance for the pile section above load cell.Pj=Pile axial force at any rebar strain gauge level j.Pz=Axial force in pile at depth z.qu=Uniaxial compressive strength of rock.U=Initial tangent modulus for the concrete in the pile.wz=Pile displacement at depth z.Wt=Weight of pile.α1=Constant coefficient.α2=Constant coefficient.α3=Constant coefficient.Δ=Additional pile compression between the head-down and the bi-directional load.Δb=Pile toe displacement.Δd=Pile compression induced by equivalent head-down load of P0.Δh=Pile compression induced by equivalent head-down load of Ps.Δo=Load cell location displacement.Δo1=Pile compression induced by upward load from load cell.Δo2=Pile compression induced by downward load from load cell.Δs=Average shaft displacement for the section above load cell.∈=Measured strain from rebar gauge.φ=International friction angle of soil.AcknowledgmentsThis study is part of a research project funded by the National Science and Technology Council (110-2221-E-019 -016 -), Taiwan. The principal author is grateful for this financial support.Di
摘要本文提出了一种传统的顶下桩荷载试验解释方法,并对其进行了改进和扩展,适用于双向桩荷载试验。抛物线函数用于模拟沿测压元件上下深度的载荷传递曲线。该函数的系数是通过拟合实测仪表数据得到的。使用安装在桩身中间的双向测力元件对三根钻孔桩进行了测试,并使用本研究的方法对结果进行了解释。用该方法得到的等效顶下荷载-位移曲线与传统方法得到的结果吻合较好。利用实测数据和本文方法得到的被动员单位表面摩擦力与位移的关系也呈现出相似的趋势。关键词:双向荷载试验顶下荷载试验钻孔桩等效荷载-位移曲线命名法A=桩截面积Ac=桩的混凝土截面积。As=桩钢截面积,c =质心系数。Ds=桩径。Ec=混凝土弹性模量。Ep=桩的弹性模量。Es=钢的弹性模量。ePR=荷载箱下方的桩段的桩压。ePS=荷载传感器上方桩段的桩压。fRz=单位轴电阻。k0=对反分析曲线进行回归分析后确定的常数。k1=通过反分析曲线的回归分析确定的常数。L=总桩长。LR=测力元件下方桩段的桩长。l =荷载传感器顶部桩段的桩长。Pb=桩底活动阻力。P0=等效顶降负荷。PR=荷载箱以下桩段的轴动阻力。ps =荷载箱以上桩段的轴动阻力。Pj=任意钢筋应变计水平桩身轴力j.Pz=深度桩身轴力z.qu=岩石单轴抗压强度。U=桩内混凝土的初始切模量。wz=深度z处的桩位移,wt =桩重。α1 =常数系数。α2 =常系数。常系数α3 =。Δ=顶降与双向荷载之间的附加桩压。Δb=桩头位移。Δd= P0等效顶降荷载引起的桩压。Δh=等效顶下荷载引起的桩压Ps.Δo=荷载箱位置位移。Δo1=荷载传感器向上荷载引起的桩压。Δo2=荷载传感器向下荷载引起的桩压。Δs=上述测压元件截面的平均轴位移。∈=钢筋计测得的应变。φ=土的国际摩擦角。本研究是台湾国家科学技术委员会(110-2221-E-019 -016 -)资助的研究项目的一部分。主要作者对这种财政支持表示感谢。披露声明作者未报告潜在的利益冲突。本研究由国家科学技术委员会[110-2221-E-019 -016 -]资助。
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引用次数: 0
Pricing optimization of product line with value-added services considering consumer choice behavior 考虑消费者选择行为的增值服务产品线定价优化
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-11-07 DOI: 10.1080/02533839.2023.2274085
Wei Qi, Junlin Pei, Xuwang Liu
ABSTRACTThe global economy is transitioning from product economy to service economy, and the optimization of product line with value-added services is one of the important issues faced by enterprises. Therefore, this paper studies the pricing optimization of product line with value-added services considering consumer choice behavior. First, we apply the multinomial logit (MNL) model to simulate consumer choice behavior, and establish a MNL-based product line pricing optimization model considering value-added services. Then, the optimal pricing strategies for products and services are solved for three different scenarios: single product with service, homogeneous products with services, and heterogeneous products with services. Finally, through numerical experiments, we analyze the changing trends of the optimal pricing, market share and profit of products line with value-added services with some impact factors, such as product quality, service level, consumer sensitivity, and number of products under three different scenarios. We also obtain some managerial implications when an enterprise develops product line with value-added service.CO EDITOR-IN-CHIEF: Kuo, Cheng-ChienASSOCIATE EDITOR: Wang, Wen-JuneKEYWORDS: Product linevalue-added serviceconsumer choice behaviormultinomial logit model Nomenclature bi=quality of product ic=total cost of products with value-added servicesci=fix cost of product ii=index of each productj=index of each consumerm=number of potential consumersn=number of productsp=price vectorpi=price of product iq=choice probability vectorqi=probability of a consumer choosing product iq0=probability of a consumer choosing outside productR=expected revenuesi=service level of product iuij=utility obtained by consumer j from purchasing product ivij=deterministic utility obtained by consumer j from purchasing product iαij=sensitivity degree of consumer j to the quality of product iβij=sensitivity degree of consumer j to the price of product iγij=sensitivity degree of consumer j to the service level of product iεij=random utility obtained by consumer j from purchasing product iπ=profitAcknowledgmentsThis work was supported by the National Natural Science Foundation of China [grant number 72001071]; National Social Science Foundation of China [grant number 22FGLB083]; Philosophy and Social Sciences Planning Project of Henan Province in China [grant number 2022BJJ031]; the Humanities and Social Sciences Research Program of the Ministry of Education of China [grant number 21YJA630061]; Program for Science &Technology Innovation Talents in Universities of Henan Province (Humanities and Social Sciences) [grant number 2021-CX-004]; Program of Higher Education Philosophy and Social Sciences Innovative Talents of Henan Province [grant number 2024-CXRC-02].Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the National Natural Science Foundation of China [7200
摘要全球经济正在从产品经济向服务经济过渡,以增值服务优化产品线是企业面临的重要问题之一。因此,本文研究了考虑消费者选择行为的增值服务产品线的定价优化问题。首先,运用多项logit (multinomial logit)模型模拟消费者的选择行为,建立了考虑增值服务的基于多项logit的产品线定价优化模型。在此基础上,针对单一产品带服务、同质产品带服务和异质产品带服务三种不同的场景,分别求解了产品和服务的最优定价策略。最后,通过数值实验,分析了在产品质量、服务水平、消费者敏感度和产品数量等影响因素的影响下,增值服务产品线的最优定价、市场份额和利润在三种不同场景下的变化趋势。本文还得出了企业发展增值服务产品线的管理启示。联合主编:郭成谦副主编:王文君Product line - value-added service消费者选择行为多项式logit模型术语bi=产品质量ic=具有增值服务的产品的总成本ci=产品的固定成本ii=每个产品的指数j=每个消费者的指数m=潜在消费者的数量sn=产品的数量p=价格向量pi=产品的价格iq=选择概率向量qi=消费者选择产品的概率iq0=消费者选择其他产品的概率tr =期望收入esi=产品的服务水平iuij =实用程序获得的消费者从购买产品ivij j =确定性效用得到消费者从购买的产品我αij j =敏感性程度的消费者产品质量我βij =产品的价格敏感程度的消费者jγij =敏感性程度的消费者服务水平的产品我εij =随机效用得到消费者从购买的产品我π= profitAcknowledgmentsThis工作是由中国国家自然科学基金的支持[授权号72001071];国家社科基金项目[批准号22FGLB083];河南省哲学社会科学规划项目[批准号2022BJJ031];教育部人文社会科学研究计划项目[批准号21YJA630061];河南省高校科技创新人才计划(人文社会科学)[批准号2021-CX-004];河南省高等学校哲学社会科学创新人才计划[批准号2024-CXRC-02]。披露声明作者未报告潜在的利益冲突。本研究得到国家自然科学基金资助[72001071];教育部人文社会科学研究计划[21YJA630061];河南省哲学社会科学规划项目[2022BJJ031];河南省高等学校哲学社会科学创新人才项目[2024-CXRC-02];河南省高校科技创新人才计划(人文社会科学)[2021-CX-004]。
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引用次数: 0
Reverse flow transition control mechanism with maximum power point controlling (MPPT) technique for solar PV application 应用于太阳能光伏发电的最大功率点控制(MPPT)技术的逆流转换控制机制
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-11-03 DOI: 10.1080/02533839.2023.2274084
D. Bharathy Priya, A. Sumathi
ABSTRACTSatisfying the growing energy demand with various power resources is one of the crucial areas. Most of the grid-based industries have come forward to install solar-based photovoltaic (PV) systems to lower energy costs. Due to its simple accessibility and streamlined panel structure of solar PV, this is widely used in many application environments. Maximum Power Point Controlling (MPPT) technique is one of the extensively used controlling techniques that use standard controls like Proportional Integral (PI) and Proportional Integral Derivative (PID) for power extraction. Some hybrid control mechanisms are used in traditional solar PV systems, limiting the issues of increased time consumption, reduced efficiency, and increased THD. For this purpose, this paper intends to develop a new controlling technique named Reverse Flow Transition Control (RFTC) with the MPPT technique to provide power output. Also, the Bidirectional Buck-Boost (BBB) is implemented to increase the efficiency of the controlling scheme. Moreover, this paper developed an optimization-based controlling technique for attaining a reliable converter, and controller design results are validated for the proposed controller technique.CO EDITOR-IN-CHIEF: KuoCheng-ChienASSOCIATE EDITOR: KuoCheng-ChienKEYWORDS: Photovoltaic (PV) systemreverse flow transition control (RFTC)bi-directional buck-boost (BBB) convertermaximum peak point Tracking (MPPT) Nomenclature AUPQS=Advanced Universal Power Quality Conditioning SystemBA=Bat algorithmBBB=Bidirectional Buck-BoostCCM=Continuous Conduction ModeFFT=Fast Fourier transformHVDC=High Voltage Direct CurrentLCL=Inductor-capacitor-inductorLLLAD=Leaky Least Logarithmic Absolute DifferenceMp=Maximum peak point of PVMPPT=Maximum Power Point ControllingP&O=Perturbation and ObservationPI=Proportional IntegralPID=Proportional Integral DerivativePOFO-SMC=Perturbation Observer-based Functional Order Sliding Mode ControllerPV=PhotovoltaicRES=Renewable Energy SourceRFTC=Reverse Flow Transition ControlSiC MOSFET=Silicon-Carbide Metal Oxide Semiconductor field-effect transistorSVPWM=Space Vector Pulse Width ModulationTHD=Total harmonic distortionVC1iC1=Voltage and current capacitanceVL1iL1=Voltage and current inductanceVpIp=Peak voltage and currentVpvipv=Photovoltaic voltage and currentVRsiRs=Voltage and current resistanceDisclosure statementNo potential conflict of interest was reported by the author(s).
摘要利用多种电力资源来满足日益增长的能源需求是关键领域之一。大多数以电网为基础的行业已经开始安装太阳能光伏(PV)系统,以降低能源成本。由于太阳能光伏的易接近性和流线型的面板结构,在许多应用环境中得到了广泛的应用。最大功率点控制(MPPT)技术是一种广泛使用的控制技术,它使用比例积分(PI)和比例积分导数(PID)等标准控制来进行功率提取。传统的太阳能光伏系统中使用了一些混合控制机制,限制了时间消耗增加、效率降低和THD增加的问题。为此,本文拟开发一种利用MPPT技术提供功率输出的新型控制技术——逆流过渡控制(RFTC)。此外,为了提高控制效率,还采用了双向降压-升压(BBB)技术。此外,本文还开发了一种基于优化的控制技术来实现可靠的变换器,并对所提出的控制器技术的控制器设计结果进行了验证。副主编:郭承谦光伏(PV)系统逆流转换控制(RFTC)双向buck-boost (BBB)转换器最大峰值点跟踪(MPPT)术语AUPQS=先进通用电能质量调节系统ba =Bat算法BBB=双向buck-boost ccm =连续传导模型fft =快速傅立叶变换hvdc =高压直流电cl =电感-电容-电感lllad =泄漏最小对数绝对差emp = PVMPPT的最大峰值点=最大功率点控制p&o =扰动和观测pi =比例积分pid =比例积分导数pofo - smc =基于摄动观测器的功能阶滑模控制器pv=光伏res =可再生能源cerftc =逆流跃迁控制sic MOSFET=碳化硅金属氧化物半导体场效应晶体管svpwm =空间矢量脉宽调制thd =总谐波畸变vc1ic1 =电压和电流电容evl1il1 =电压和电流电感evpip =峰值电压和电流vpvipv =光伏电压和电流vrsirs =电压和电流电阻披露声明作者未报告潜在的利益冲突。
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引用次数: 0
High-strength high-performance concrete incorporating different macro fiber types and contents: Engineering and durability performance 含有不同宏纤维类型和含量的高强度高性能混凝土:工程性能和耐久性
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-11-03 DOI: 10.1080/02533839.2023.2274079
Viet-Hung Vu, Minh-Hieu Nguyen, Chao-Lung Hwang, Trong-Phuoc Huynh
ABSTRACTGenerating a synergistic response by combining the advantages of different fiber types in concrete is of current scholarly interest. This study investigated the effects of different hooked-end steel fiber (SF) volume fractions up to 1.6% and three macro fiber types including polypropylene (PP), SF, and typical hybrid fibers (HF: 50% SF + 50% PP) at a fixed dosage of 1.6% on properties of high-strength high-performance concrete (HSHPC). A novel densified mixture design algorithm was used to incorporate a high quantity of fly ash and rice husk ash as an eco-binder. Results showed the specimens with added macro SF exhibited improved mechanical strength, dynamic modulus of elasticity and rigidity, and lower drying shrinkage while the ones with added PP exhibited reductions in compressive strength and dynamic modulus. Interestingly, the incorporation of macro fibers, regardless of fiber type and content, reduced electrical resistivity, ultrasonic pulse velocity and increased the total charge passed in the chloride ion penetration test, resulting in likely underestimation of the reinforcement corrosion resistance, especially for SF specimens. The findings also confirm that HF demonstrating synergistic response may be effective and creative in improving most of the concrete characteristics, contributing to the efficient use of HSHPC in real-world structures.CO EDITOR-IN-CHIEF: OuYu-ChenASSOCIATE EDITOR: OuYu-ChenKEYWORDS: Macro fiberhybrid fiberhigh-strength high-performance concreteengineering propertiesdurability performance Nomenclature ACI=American Concrete InstituteDMDA=Densified Mixture Design AlgorithmER=Electrical ResistivityFA=Fly AshFRC=Fiber-Reinforced ConcreteHPC=High-Performance ConcreteHF=Hybrid FiberHPFRC=High-Performance Fiber Reinforced ConcreteHSC=High-Strength ConcreteHSHPC=High-Strength High-Performance ConcreteOPC=Ordinary Portland CementPP=Polypropylene FiberRCPT=Rapid Chloride ion Penetration TestRHA=Rice Husk AshSCC=Self-Compacting ConcreteSCM=Supplementary Cementitious MaterialsSF=Steel FiberSP=SuperplasticizerUPV=Ultrasonic Pulse VelocityAcknowledgmentsThe samples used for this study were prepared at the Construction Material Research Laboratory of the National Taiwan University of Science and Technology with valuable assistance from Dr. Duy-Hai Vo.Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要结合混凝土中不同纤维类型的优势产生协同反应是当前学术界关注的问题。本研究考察了不同钩端钢纤维(SF)体积分数为1.6%,以及聚丙烯(PP)、钩端钢纤维(SF)和典型混杂纤维(HF: 50% SF + 50% PP)在1.6%的固定掺量下对高强高性能混凝土(HSHPC)性能的影响。采用一种新颖的密实混合料设计算法,将大量粉煤灰和稻壳灰作为生态粘结剂。结果表明:添加宏观SF后,试件的力学强度、动弹性模量和刚度均有所提高,干燥收缩率有所降低;添加PP后,试件的抗压强度和动弹性模量均有所降低;有趣的是,无论纤维类型和含量如何,宏观纤维的掺入降低了电阻率,超声波脉冲速度,增加了氯离子渗透试验中通过的总电荷,导致可能低估了钢筋的耐腐蚀性,特别是对于SF试样。研究结果还证实,表现出协同反应的高频材料在改善大多数混凝土特性方面可能是有效和创造性的,有助于在实际结构中有效地使用HSHPC。副主编:欧玉成术语ACI=美国混凝土学会mda =密实混合料设计算法mer =电阻率fa =粉煤灰frc =纤维增强混凝土pc =高性能混凝土f =混合纤维hpfrc =高性能纤维增强混凝土hsc =高强混凝土shpc =高强高性能混凝土opc =普通硅酸盐水泥pp =聚丙烯纤维rcpt =快速氯离子穿透试验=稻壳AshSCC=自密实混凝土cm =补充胶凝材料ssf =钢纤维sp =超塑剂upv =超声脉冲速度致谢本研究所用的样品由国立台湾科技大学建筑材料研究实验室在Duy-Hai Vo博士的宝贵帮助下制备。披露声明作者未报告潜在的利益冲突。
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引用次数: 0
A hybrid AHP-TOPSIS, MOORA technique for multi-objective optimization of thermal, mechanical, and water absorption behavior of epoxy/hemp, pine apple, and palm fiber composites AHP-TOPSIS和MOORA混合技术用于环氧树脂/大麻、松果和棕榈纤维复合材料的热、力学和吸水行为的多目标优化
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-11-03 DOI: 10.1080/02533839.2023.2274092
Sivasankara Raju, Srihari Palli, Pilla Devi Prasad, Venkata Ramana Menda, Bondala Ramakrishna
ABSTRACTNatural fiber composites are capable of replacing synthetic fiber composites in aeronautics, transportation, architecture, and sports. This work used epoxy matrices to produce natural hybrid fiber composites from hemp, pineapple, and palm fiber. To choose the best material for a design or component, a thorough and successful approach is needed. Material selection judgments are best handled by multi-criteria decision-making (MCDM) procedures. Integrated MCDM approaches like AHP, TOPSIS, and MOORA rank epoxy-hemp-pineapple-palm fiber composites. TOPSIS and MOORA use AHP weights to rank objects. AHP weights are used to rank objects in both the TOPSIS and MOORA methods. Selection is based on a variety of properties of the generated composites, including water absorption and specific heat capacity, in addition to density, hardness, tensile strength, and toughness. The thermal degradation of fiber polymerization is assessed by thermo-gravimetric analysis (TGA). According to a thorough evaluation of MCDM methodologies, a hybrid composite made of palm, hemp, and pineapple performed best, followed by a hybrid composite made of palm and pineapple. This study found that a palm fiber composite has subpar results. Scanning electron microscopy (SEM) is used to examine fiber form and interfacial bonding in composite samples that have been exposed to tension fracture.CO EDITOR-IN-CHIEF: Hsiau, Shu-SanASSOCIATE EDITOR: Chen, Ping-HeiKEYWORDS: Hybrid epoxy natural fibers compositeTGAMCDMAHPTOPSIS and MOORA Nomenclature AHP=Analytical hierarchy processARAS=Additive ratio assessmentCI=Consistency indexCR=Consistency ratioDTG=Derivative of mass variationELECTRE=Elimination and choice translating realityFC1=Epoxy-hemp compositeFC2=Epoxy-pine apple compositeFC3=Epoxy-palm fiber compositeFC4=Epoxy-hemp-pine apple compositeFC5=Epoxy-pine apple-palm compositeFC6=Epoxy-palm-hemp fiber compositeFC7=Epoxy-palm-hemp-pine apple compositeMCDM=Multi-criteria decision-makingMOORA=Multi-objective optimization on the basis of ratio analysisRI=Random inconsistency indicesSEM=Scanning electron microscopySHC=Specific heat capacityTOPSIS=Technique for order preference by the resemblance to an ideal solutionTS=Tensile strengthTGA=Thermo gravimetric analysisWA=Water absorptionWPM=Weighted product modelWSM=Weighted sum modelWf=Wet weight of sample after time in water subtractedWi=Dry weight of sampleAcknowledgmentsThe authors esteem the insightful advice provided by all of the subject matter specialists. The authors are grateful to the Aditya Institute of Technology and Management in Tekkali, where they acquired access to the ARC laboratory and R&D laboratory funded by the European Centre for Mechatronics (APS GMBH), and Aachen Department of Science and Technology (DST), respectively.Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要天然纤维复合材料在航空、交通、建筑、体育等领域能够取代合成纤维复合材料。这项工作使用环氧树脂基质从大麻、菠萝和棕榈纤维中生产天然混合纤维复合材料。为设计或部件选择最佳材料,需要一种彻底而成功的方法。材料选择判断最好由多准则决策(MCDM)程序处理。综合MCDM方法,如AHP、TOPSIS和MOORA对环氧树脂-大麻-菠萝-棕榈纤维复合材料进行排名。TOPSIS和MOORA使用AHP权重对对象进行排序。在TOPSIS和MOORA方法中,AHP权重用于对对象进行排序。选择是基于所生成的复合材料的各种性能,包括吸水率和比热容,除了密度,硬度,抗拉强度和韧性。采用热重分析(TGA)对纤维聚合的热降解进行了评价。根据对MCDM方法的全面评估,棕榈、大麻和菠萝制成的混合复合材料表现最好,其次是棕榈和菠萝制成的混合复合材料。这项研究发现,棕榈纤维复合材料的效果不佳。利用扫描电子显微镜(SEM)对拉伸断裂后复合材料试样的纤维形态和界面结合进行了研究。副主编:陈平黑杂化环氧天然纤维复合材料etgamcdmahptopsis和MOORA命名法AHP=分析层次过程aras =添加比评估ci =一致性指数cr =一致性比率odtg =质量变化导数electre =消除和选择翻译现实fc1 =环氧-大麻复合材料efc2 =环氧-松果复合材料efc3 =环氧-棕榈纤维复合材料efc4 =环氧-大麻-松果复合材料efc5 =环氧-松果复合材料efc6 =环氧-棕榈-大麻纤维复合材料efc7 =环氧-棕榈-大麻-松果compositeMCDM=多准则决策moora =基于比率分析的多目标优化ri =随机不一致指数sem =扫描电镜shc =比热容topsis =按理想溶液相似度排序的技术ts =拉伸强度tga =热重分析wa =吸水率wpm =加权产品模型wsm =加权和模型wf =样品在水中经过一段时间后的湿重wi =样品的干重尊重所有主题专家提供的有见地的建议。作者感谢Tekkali的Aditya技术和管理研究所,在那里他们获得了ARC实验室和由欧洲机电一体化中心(APS GMBH)和亚琛科技部(DST)分别资助的研发实验室的使用权。披露声明作者未报告潜在的利益冲突。
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引用次数: 0
A modified hysteresis current controller with DFCEA for current harmonic mitigation using PV-SHAPF 一种带有DFCEA的改进磁滞电流控制器,用于PV-SHAPF的电流谐波抑制
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-31 DOI: 10.1080/02533839.2023.2274103
Johnnie Hepziba R, Balaji G
ABSTRACT A Modified Hysteresis Current Controller (MHCC) with Dual Fundamental Component Extraction Algorithm (DFCEA) is presented in this paper. Its purpose is to improve the current harmonics mitigation performance of a three-level T-type inverter-based Shunt Active Power Filter (SHAPF) while operating under non-sinusoidal voltage conditions. The DFCEA is responsible for isolating the fundamental voltage and current components that are necessary for synchronizing each phase and producing the reference current. The existing dual fundamental component extraction technique is updated in order to create the optimized reference currents that are required by the proposed PV-linked T-Type inverter-based Shunt Active Power Filter (PV-SHAPF). This was done in order to meet the requirements of the PV-SHAPF. It is also anticipated that it is excellent at extracting reference currents even under situations of voltage that are not optimum. To maintain the dc-link capacitor voltage at 600 V, a control algorithm of the dc-link capacitor known as the ‘DC link voltage controller’ is used. Both control algorithms are tested in a three-phase T-Type inverter-based PV-SHAPF by simulating them in a MATLAB/Simulink environment. The performance of the MHCC-DFCEA that was designed to mitigate current harmonics was proven by the findings that were gathered.
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引用次数: 0
Efficient estimation of structural probability of failure with adaptive kriging and multi-layered hyperball-based importance sampling 基于自适应克里格和多层超球重要性抽样的结构失效概率有效估计
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-31 DOI: 10.1080/02533839.2023.2274076
Handy Prayogo, I-Tung Yang, Kuo-Wei Liao
ABSTRACT The need for more resilient infrastructures entails an accurate and efficient structural reliability analysis. In recent years, Kriging-based meta-modeling has constantly been adopted to reduce the computational cost in estimating the probability of failure. Active learning models focus on most informative samples to increase computational efficiency. Nevertheless, the efficiency gained from the models may diminish when dealing with a rare event with a relatively small probability of failure. To resolve the difficulty, this study proposes a new method, Adaptive Kriging with Multi-layered Hyperball-based Importance Sampling (AK-MHIS), to estimate the structural probability of failure. AK-MHIS uses an adaptive multi-layered hyperball as its candidate sample pool with a new sample filtering mechanism and a more robust stopping condition for the active-learning phase. The performance of AK-MHIS method is validated in benchmark cases. The verification results confirm the superior performance of AK-MHIS to previous methods.
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引用次数: 0
Anti-fatigue optimization of the twisting force arm of landing gear based on Kriging approximate sequential optimization method 基于Kriging近似序贯优化方法的起落架扭转力臂抗疲劳优化
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-30 DOI: 10.1080/02533839.2023.2274086
Huan Xie, Guang Yang, Jianxiang Sun, Wei Sai, Wei Zeng
ABSTRACTThe twisting force arm (TFA) is an important part of the pillar landing gear, anti-fatigue optimization on its structure can improve the reliability of the landing gear. However, the optimization accuracy of the conventional optimization method is limited by the basic topological structure from the views of topological theory. Besides that, the optimization efficiency of the conventional method is also relatively low because of the high computational cost of the fatigue life estimation. In this paper, an anti-fatigue optimization method of the TFA was developed to improve the optimization accuracy and efficiency by using the approximate sequential optimization method after an optimal basic topological structure was obtained. To verify its effectiveness, the proposed method was introduced to the anti-fatigue optimization of a pillar landing gear TFA. The results show that the optimization accuracy of the proposed method is higher than the conventional method, and the computational cost can be reduced 82.35%. This indicates that the proposed method can improve the optimization accuracy and efficiency of the anti-fatigue optimization.CO EDITOR-IN-CHIEF: Jeng, Yeau-RenASSOCIATE EDITOR: Jeng, Yeau-RenKEYWORDS: Twisting force armlanding gearKrigingfatigue lifesequential optimization Nomenclature Dj=accumulative fatigue damage under the jth stage loadG0=weight of the TFA after topological optimizationG=weight after anti-fatigue optimizationNj=number of the stress cycles when the failure occurs under the jth stage loadN=fatigue life of the TFAnj=number of the stress cycles under the jth stage loadSE=total strain energy of the design domainSa=stress corresponding to the TFA Sa-N curveTFA=twisting force arm of the pillar landing gearxk=element density in the design domainxi=design variablesximin=low bounds of the design variablesximax=up bounds of the design variablesγ=scatter factor that considering the dispersion of the fatigue lifeωj=ratio that the number of the jth stage stress cycles to the gross number of the stress cyclesσa=stress corresponding to the material S-N curveσmax=maximum Von-Mises stressDisclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Natural Science Basic Research Plan in Shanxi Province of China, grant number: 2022JM-213, 2022JQ-412, 2021JQ-874.
摘要扭转力臂(TFA)是支柱式起落架的重要部件,对其结构进行抗疲劳优化可以提高起落架的可靠性。然而,从拓扑学的角度看,传统优化方法的优化精度受到基本拓扑结构的限制。此外,由于疲劳寿命估算的计算成本较高,传统方法的优化效率也相对较低。在获得最优基本拓扑结构后,采用近似序贯优化方法,提出了一种TFA抗疲劳优化方法,提高了优化精度和效率。为验证该方法的有效性,将其应用于某型柱式起落架TFA的抗疲劳优化中。结果表明,该方法的优化精度高于常规方法,计算量可减少82.35%。这表明该方法可以提高抗疲劳优化的精度和效率。副主编:郑耀仁Dj=第j阶段载荷下的累积疲劳损伤g0 =拓扑优化后的TFA重量g =抗疲劳优化后的重量nj=第j阶段载荷下失效时的应力循环次数n = TFA疲劳寿命j=第j阶段载荷下的应力循环次数se =设计域的总应变能sa = TFA对应的应力Sa-N曲线TFA=扭转力手臂支柱着陆gearxk =元素的密度在设计domainxi =设计variablesximin =低范围的设计variablesximax =设计变量的边界γ=散射因素考虑疲劳寿命的分散ωj =比j阶段压力周期的数量的总数量相对应的应力σ=压力循环材料强度衰减σmax =最大·冯·米塞斯stressDisclosure statementNo潜在的利益冲突是报告的作者(年代)。项目资助:山西省自然科学基础研究计划项目,批准号:2022JM-213, 2022JQ-412, 2021JQ-874。
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引用次数: 0
Digitization of ECG paper records based on density and prediction methods 基于密度和预测方法的心电纸面记录数字化
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-16 DOI: 10.1080/02533839.2023.2262726
Yong-Fang Cai, Shuo-Ping Wang, Wei Ji
ABSTRACTTraditional 12-lead ECGs have the common problem of lead waveform crossover. Importantly, this problem leads to difficulty in extracting lead waveforms and causes signal distortion during the digitization of ECGs. In this paper, an ECG digitization method that combines density clustering and curve prediction is proposed, and it can effectively solve the issue of lead waveform crossover while also minimizing signal distortion. This method first uses the image preprocessing technique to remove the background mesh, and second, the density and prediction methods are used to solve the lead waveform crossover. Finally, morphological and vertical scanning methods are used to digitize the lead waveform. In addition, experimental verification is carried out on a large quantity of ECG records provided by Yifu Hospital, which is affiliated with Nanjing Medical University. Furthermore, five indicators are adopted for quantitative measurements and comparisons between the reconstructed signals and original waveforms. The comparison results show that the accuracy of the method is 95.5%, and this verifies the effectiveness of the algorithm.CO EDITOR-IN-CHIEF: Yuan, Shyan-MingASSOCIATE EDITOR: Yuan, Shyan-MingKEYWORDS: 12-lead ECGlead waveform crossoverdensity clusteringECG digitalization Nomenclature APR=average P-R intervalAQRS=average QRS intervalAQT=average Q-T intervalAR=average R waveD=lead waveform pixel point coordinate setECG=electrocardiogramHR=heart rateHSV=hue, saturation, valueIo=the calculated result of the original waveformIr=the calculated result of the reconstructed waveformMinPts=minimum number of samples in epsNRMSE=normalized root-mean-square errorPDVD=period distance vertical directionε=distance thresholdDisclosure statementNo potential conflict of interest was reported by the author(s).
摘要传统的12导联心电图普遍存在导联波形交叉的问题。重要的是,这个问题导致在心电图数字化过程中难以提取引线波形并造成信号失真。本文提出了一种结合密度聚类和曲线预测的心电数字化方法,该方法可以有效地解决引线波形交叉问题,同时使信号失真最小化。该方法首先利用图像预处理技术去除背景网格,然后利用密度和预测方法解决引线波形交叉问题。最后,采用形态学和垂直扫描方法对引线波形进行数字化处理。并对南京医科大学附属逸夫医院提供的大量心电记录进行实验验证。采用5个指标对重构信号与原始波形进行定量测量和比较。对比结果表明,该方法的准确率为95.5%,验证了算法的有效性。副主编:袁淑明12导联心电图波形交叉密度聚类心电图数字化术语APR=平均P-R间隔aqrs =平均QRS间隔aqt =平均Q-T间隔ar =平均R波波=导联波形像素点坐标集g =心电图hr =心率hsv =色相、饱和度valueIo=原始波的计算结果formir =重构波的计算结果minpts = epsn最小样本数rmse =归一化均方根errorPDVD=周期距离垂直方向ε=距离阈值披露声明作者未报告潜在的利益冲突。
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引用次数: 0
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Journal of the Chinese Institute of Engineers
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