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Simulation of the surface and volume stress in the contact archwire/bracket for classical friction and critical contact angle 模拟经典摩擦和临界接触角下接触式牙弓丝/托架的表面和体积应力
Q2 Engineering Pub Date : 2024-02-02 DOI: 10.1556/1848.2024.00764
Mohammed Khalil El kouifat, Houcine Zniker, Ikram Feddal, B. Ouaki
The occlusion of the teeth is affected due to the appearance of micro-cracks resulting from maximum stresses in the contact zones between the wire and the bracket under normal and tangential loading. The objective of this study is to evaluate the surface and volume constraints in the presence of bonding and partial sliding zones on the contact surface between wires and supports. Knowledge of these stress fields will make it possible to better limit the surfaces where most of the micro-cracks occur. Indeed, the evaluation of the stress will facilitate the modelling or application of established micro crack models on this subject, because the initiation of micro-cracks often appears on the contact surface or just below it.In this study, the two most common situations of contact between the wire and the bracket were studied; the first corresponds to the situation where the wire is positioned in the center of the support (classic friction), and the second corresponds to the situation where the inclined wire touches the ends of the supports (critical contact angle).The MATHCAD software was used to simulate the damage zones for normal loading in the two cases studied (classic friction, critical contact angle). We proposed a Hertzian loading for the first case and a linear loading for the second case. Also, the effect of the additional load during wire tightening applied by the orthodontist was studied.The charge concentration is located above the contact zone, of the order of 0.3P0 (pressure per unit of arbitrary normal length), according to Mathcad simulation results. The adhesion zone/micro-slip zone contact generates the largest tangential load, which is directed towards the side experiencing the most stress. We also observed that the stick area shifts towards the recessed side when the additional load is applied. Additionally, comparing the configurations, the critical contact angle resulted in a higher maximum shear stress.
在法向和切向载荷作用下,钢丝和托槽接触区的最大应力会导致微裂纹的出现,从而影响牙齿的咬合。本研究的目的是评估钢丝和支架接触面上存在粘结区和部分滑动区时的表面和体积限制。通过了解这些应力场,可以更好地限制大多数微裂纹发生的表面。事实上,由于微裂纹的起始点经常出现在接触面上或接触面的下方,因此对应力的评估将有助于对已建立的微裂纹模型进行建模或应用。在这项研究中,我们研究了钢丝和支架之间两种最常见的接触情况:第一种情况是钢丝位于支架中心(典型摩擦),第二种情况是倾斜钢丝接触支架两端(临界接触角)。我们使用 MATHCAD 软件模拟了两种情况(典型摩擦、临界接触角)下法向载荷的损坏区域。我们建议第一种情况采用赫兹加载,第二种情况采用线性加载。根据 Mathcad 的模拟结果,电荷浓度位于接触区上方,约为 0.3P0(每单位任意法线长度的压力)。粘着区/微滑动区接触产生的切向载荷最大,其方向是受力最大的一侧。我们还观察到,在施加额外载荷时,粘滞区域向凹陷一侧移动。此外,比较各种配置,临界接触角产生的最大剪切应力更大。
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引用次数: 0
Dynamical model for dog clutch shiftability 狗式离合器换档性能的动力学模型
Q2 Engineering Pub Date : 2024-01-24 DOI: 10.1556/1848.2023.00745
Ayham Aljawabrah, Laszlo Lovas
The dog clutch offers advantages in mass and efficiency, but faces challenges in mismatch speed synchronization, which affects its shiftability. Face impact between dog teeth also reduces its lifespan. Our previous work introduced the kinematical shiftability condition that ensures impact-free gearshift but had limitations due to analysis assumptions. This study eliminates those assumptions, but uses a similar approach. Based on our previous work for dog clutch engagement dynamics, we develop the dynamical shiftability condition. Validation with full dog clutch dynamics showed an agreement. Employing another previous work that introduced shiftability map and parametric study method, we study system parameters impact on shiftability but based on the dynamical shiftability condition.
狗式离合器在质量和效率方面具有优势,但在错配速度同步方面面临挑战,这影响了其换档性能。犬齿之间的齿面冲击也会缩短其使用寿命。我们之前的工作引入了运动学换挡性条件,以确保无冲击换挡,但由于分析假设而存在局限性。本研究消除了这些假设,但使用了类似的方法。基于之前针对狗式离合器接合动态的研究,我们开发了动态换挡性能条件。与完全狗式离合器动力学的验证结果显示一致。我们利用之前的另一项工作,即引入换挡性能图和参数研究方法,研究系统参数对换挡性能的影响,但以动态换挡性能条件为基础。
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引用次数: 0
Numerical modelling of bridge deck reinforcement corrosion based on analysis of GPR data 基于 GPR 数据分析的桥面钢筋腐蚀数值建模
Q2 Engineering Pub Date : 2024-01-18 DOI: 10.1556/1848.2023.00740
Tahar Bachiri, A. Khamlichi, M. Hamdaoui, M. Bezzazi, A. Faize
This study explores the impact of corrosion on Ground Penetrating Radar (GPR) responses through practical experiments and numerical modelling, focusing on rebar diameter reduction, corrosion product layer thickness, crack formation and corrosion product filling in vertical and transverse crack. Practical experiments involved GPR testing of reinforced concrete slab. By analyzing B-scans we identify areas with moderate and severe corrosion. Numerical modelling using the Finite Difference Time Domain (FDTD) Method to model GPR signal propagation in a concrete bridge deck with corrosion is applied. Key finding includes a significant 26.70% increase in reflected wave amplitude when corrosion product filling in vertical crack increased by 400%, highlighting its extensive effect on signal GPR propagation. Reduced rebar diameter led to a 9.79% amplitude decrease and a 0.06 ns arrival time delay. Increased corrosion product layer thickness primarily affected arrival time with a 0.06 ns extension but significantly amplified GPR signal amplitude. These findings offer insights for improving GPR based corrosion detection and assessment methods, leading to more robust systems for concrete bridge deck inspection and maintenance. This paper contributes to understanding how corrosion affects the signal that is detected by GPR. This information can be used to improve the way that we manage and assess corrosion in concrete bridge deck.
本研究通过实际实验和数值建模探讨了腐蚀对探地雷达(GPR)响应的影响,重点关注钢筋直径减小、腐蚀产物层厚度、裂缝形成以及垂直和横向裂缝中腐蚀产物的填充。实际实验包括对钢筋混凝土板进行 GPR 测试。通过分析 B 扫描图像,我们确定了中度和严重腐蚀区域。使用有限差分时域 (FDTD) 方法建立数值模型,以模拟 GPR 信号在有腐蚀的混凝土桥面中的传播。主要发现包括:当垂直裂缝中的腐蚀产物填充量增加 400% 时,反射波振幅显著增加 26.70%,突出了其对 GPR 信号传播的广泛影响。钢筋直径减小导致振幅减小 9.79%,到达时间延迟 0.06 ns。腐蚀产物层厚度的增加主要影响到达时间,延时 0.06 ns,但却显著放大了 GPR 信号振幅。这些发现为改进基于 GPR 的腐蚀检测和评估方法提供了启示,从而为混凝土桥面检测和维护提供了更强大的系统。本文有助于了解腐蚀如何影响 GPR 检测到的信号。这些信息可用于改进我们管理和评估混凝土桥面腐蚀的方法。
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引用次数: 0
Design quality assessment and investigation of visitors satisfaction of the Jordan Museum using Post-Occupancy Evaluation 利用入驻后评估对约旦博物馆的设计质量进行评估和游客满意度调查
Q2 Engineering Pub Date : 2024-01-18 DOI: 10.1556/1848.2023.00717
F. Khasawneh
The Jordan Museum is the most important modern archeological museum in Jordan. This paper assesses the quality of design and the visitors' satisfaction with the Jordan Museum. Also, it investigates which of the selected performance elements contribute most to visitors' satisfaction. Investigative Post-Occupancy Evaluation (POE) was used within a mixed methodology approach. A questionnaire was used for the quantitative part, complemented by other qualitative methods. Descriptive statistics were used to determine the design quality and visitors' satisfaction. Stepwise regression was used to detect which performance elements predict overall visitors' satisfaction. The design quality of the museum was rated as good, and its permanent galleries were exceptionally rated as excellent. The visitors were generally satisfied with the museum. Visitors were satisfied with the interior and exterior finish but were not impressed with the heavy use of stone in the façade. The simplicity of the museum layout made navigation easy, and visitors were satisfied with wayfinding. This paper is the first to use POE to assess the Jordan Museum. The findings can be used to enhance the management and operation of the Jordan Museum. Also, important performance elements can be developed into guidelines to guarantee effective museum designs in the future.
约旦博物馆是约旦最重要的现代考古博物馆。本文评估了约旦博物馆的设计质量和游客满意度。此外,它还调查了哪些选定的性能要素对游客的满意度贡献最大。在混合方法中使用了入驻后调查评估(POE)。定量部分采用问卷调查,辅以其他定性方法。描述性统计用于确定设计质量和游客满意度。采用逐步回归法检测哪些性能要素可以预测参观者的总体满意度。博物馆的设计质量被评为 "良好",常设展厅被评为 "优秀"。参观者普遍对博物馆感到满意。参观者对内部和外部装修都很满意,但对外墙大量使用石材印象不深。博物馆布局简洁,便于参观,参观者对导向系统也很满意。本文首次使用 POE 对约旦博物馆进行评估。评估结果可用于加强约旦博物馆的管理和运营。此外,还可以将重要的性能要素发展成指南,以保证未来博物馆设计的有效性。
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引用次数: 0
Tuning PID controller parameters of the DC motor with PSO algorithm 利用 PSO 算法调整直流电机的 PID 控制器参数
Q2 Engineering Pub Date : 2024-01-17 DOI: 10.1556/1848.2023.00698
Ş. Yıldırım, Mehmet Safa Bingol, S. Savaş
Direct current (DC) motors have superior features such as operating at different speeds, being affordable and easily controllable. Therefore, DC motors have many uses, such as machine tools and robotic systems in many factories up to the textile industry. The PID controller is one of the most common methods used to control DC motors. PID is a feedback controller with the terms Proportional, Integral, and Derivative. The proper selection of P, I, and D parameters is critical for achieving the desired control in the PID controller. In this study, the transfer function of a DC motor is first obtained, and the speed of the DC motor is controlled by the PID controller using this transfer function. Then, Particle Swarm Optimization (PSO), an optimization method based on swarm intelligence, is used to adjust the P, I, and D parameters. By using the obtained P, I, and D coefficients, the speed of the DC motor is tried to be controlled, and the effect of the filter coefficient on the system output is examined. The performance of the proposed PSO-PID controller with successful results is given in tables and graphics. Control and optimization studies are carried out with MATLAB Simulink.
直流(DC)电机具有运行速度快、价格低廉和易于控制等优点。因此,直流电机有许多用途,如许多工厂的机床和机器人系统,直至纺织业。PID 控制器是控制直流电机最常用的方法之一。PID 是一种反馈控制器,其术语为比例(Proportional)、积分(Integral)和微分(Derivative)。正确选择 P、I 和 D 参数是 PID 控制器实现预期控制的关键。在本研究中,首先要获得直流电机的传递函数,并利用该传递函数通过 PID 控制器控制直流电机的速度。然后,使用基于群智能的优化方法--粒子群优化(PSO)来调整 P、I 和 D 参数。利用获得的 P、I 和 D 系数,尝试控制直流电机的速度,并考察滤波器系数对系统输出的影响。拟议的 PSO-PID 控制器的性能和成功结果以表格和图形的形式给出。使用 MATLAB Simulink 进行了控制和优化研究。
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引用次数: 0
Towards accuracy improvement in solution of inverse kinematic problem in redundant robot: A comparative analysis 提高冗余机器人逆运动学问题求解的精度:比较分析
Q2 Engineering Pub Date : 2024-01-11 DOI: 10.1556/1848.2023.00722
H. Z. Khaleel, Amjad J. Humaidi
The redundant manipulators have more DOFs (degree of freedoms) than it requires to perform specified task. The inverse kinematic (IK) of such robots are complex and high nonlinear with multiple solutions and singularities. As such, modern Artificial Intelligence (AI) techniques have been used to address these problems. This study proposed two AI techniques based on Neural Network Genetic Algorithm (NNGA) and Particle Swarm Optimization (PSO) algorithm to solve the inverse kinematics (IK) problem of 3DOF redundant robot arm. Firstly, the forward kinematics for 3 DOF redundant manipulator has been established. Secondly, the proposed schemes based on NNGA and PSO algorithm have been presented and discussed for solving the inverse kinematics of the suggested robot. Thirdly, numerical simulations have been implemented to verify the effectiveness of the proposed methods. Three scenarios based on triangle, circular, and sine-wave trajectories have been used to evaluate the performances of the proposed techniques in terms of accuracy measure. A comparison study in performance has been conducted and the simulated results showed that the PSO algorithm gives 7% improvement compared to NNGA technique for triangle trajectory, while 2% improvement has been achieved by the PSO algorithm for circular and sine-wave trajectories.
冗余机械手的 DOF(自由度)比执行指定任务所需的 DOF 更多。这类机器人的逆运动学(IK)非常复杂,具有多解和奇异的高度非线性。因此,现代人工智能(AI)技术已被用于解决这些问题。本研究提出了基于神经网络遗传算法(NNGA)和粒子群优化算法(PSO)的两种人工智能技术来解决 3DOF 冗余机械臂的逆运动学(IK)问题。首先,建立了 3 DOF 冗余机械手的正向运动学。其次,介绍并讨论了基于 NNGA 和 PSO 算法的建议方案,以解决建议机械手的逆运动学问题。第三,通过数值模拟验证了所提方法的有效性。我们使用了基于三角形、圆形和正弦波轨迹的三种情况来评估所提出的技术在精度测量方面的性能。模拟结果表明,在三角形轨迹上,PSO 算法比 NNGA 技术提高了 7%,而在圆形和正弦波轨迹上,PSO 算法提高了 2%。
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引用次数: 0
Experimental analysis on light weight concrete utilizing compost and Ground Granulated Blast Furnace Slag (GGBS): Insights into elevated temperature properties through TGA 利用堆肥和磨细高炉矿渣 (GGBS) 制备轻质混凝土的实验分析:通过 TGA 透视高温特性
Q2 Engineering Pub Date : 2024-01-11 DOI: 10.1556/1848.2023.00724
Karthigai Priya Pandiaraj, Vanitha Sankararajan
Whenever a new material is replaced in concrete, some other tests other than strength and durability need to be carried out to validate the viability of the material replaced. This study aims to investigate the sustaining capacity of the light weight concrete manufactured with compost and Ground Granulated Blast Furnace Slag (GGBS) for M sand and cement respectively subjected to high temperature. Four concrete samples are tested, which includes the control specimen and three specimens are opted based on the optimum mix arrived from the strength and durability studies. Thermogravimetric Analysis (TGA) is done on the samples and they are heated up to 1,000 °C. For the specimens tested, the loss in mass with respect to the temperature is obtained. It is noted that the mass loss of the concrete samples with 15% GGBS along with compost at 0 & 10% is found lower than the control specimen. Also, from the loss in mass, the loss of chemically bound water and free CH content can be found, which aids in contributing strength to the concrete. For the concrete to be sustainable, compost can be replaced at 10% and GGBS at 15%.
每当在混凝土中更换新材料时,除了强度和耐久性之外,还需要进行一些其他测试,以验证所更换材料的可行性。本研究旨在调查用堆肥和磨细高炉矿渣(GGBS)分别替代中砂和水泥生产的轻质混凝土在高温下的承受能力。测试了四个混凝土样品,其中包括对照试样和根据强度和耐久性研究得出的最佳混合物选择的三个试样。对试样进行了热重分析(TGA),并将其加热至 1,000 °C。对于测试过的试样,可获得随温度变化的质量损失。结果表明,添加 15% GGBS 和堆肥(0% 和 10%)的混凝土试样的质量损失低于对照试样。此外,从质量损失中还可以发现化学结合水和游离 CH 含量的损失,这有助于提高混凝土的强度。为了使混凝土具有可持续性,堆肥和 GGBS 的替代比例分别为 10%和 15%。
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引用次数: 0
Heterogeneity's impact on the sloshing motion in excited tanks 异质性对激发槽中荡漾运动的影响
Q2 Engineering Pub Date : 2024-01-11 DOI: 10.1556/1848.2023.00637
A. Belahsen, H. Essaouini, A. Hamydy
This paper aims to investigate the effect of liquid heterogeneity on sloshing in a two-dimensional rectangular tank. The container is excited horizontally, and the density of the liquid at equilibrium can almost be considered a linear dependence of the depth. The linearized equations representing the sloshing phenomenon are solved numerically using ANSYS 2020 R2 software and analytically using the separation method of variables in conjunction with the Fourier analysis. On the other hand, a comparison study has been carried out between the obtained results and other works related to the same phenomenon. Overall, the results exhibit considerable effects of variation in the Heterogeneity Coefficient β on the free surface's motion and the pressure distribution within the liquid. Furthermore, the free surface of liquid heterogeneity is also affected by the variation of Excitation Frequency Ω and the Filling Rate h of the liquid in the tank.
本文旨在研究液体异质性对二维矩形水槽中荡漾的影响。容器水平激发,平衡状态下的液体密度几乎可以认为与深度成线性关系。代表坍塌现象的线性化方程使用 ANSYS 2020 R2 软件进行数值求解,并使用变量分离法结合傅立叶分析法进行分析。另一方面,还对所获得的结果与其他与同一现象相关的工作进行了比较研究。总体而言,研究结果表明,异质性系数 β 的变化对自由表面的运动和液体内部的压力分布有相当大的影响。此外,液体自由表面的异质性还受到激振频率 Ω 和罐内液体填充率 h 变化的影响。
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引用次数: 0
Compressive behaviour of self compacting concrete column strengthened by hybrid confinement of fibre reinforced polymer sheet and fibre rope 用纤维增强聚合物片材和纤维绳混合约束加固的自密实混凝土柱的抗压性能
Q2 Engineering Pub Date : 2024-01-11 DOI: 10.1556/1848.2023.00721
R. Ilayarsi, K. Mukilan
The compressive behavior of self-consolidating concrete columns strengthened by hybrid confinement of polypropylene fiber rope and glass fiber-reinforced polymer sheet was investigated experimentally. We cast and tested eight column specimens under axial compression load. (Six confined SCC columns and two conventional SCC columns.) The concrete grade utilized is SCC M40. For reinforcement, the SCC columns are enclosed with GFRP wrap and polypropylene fiber rope in various volumetric ratios. The compressive resistance of a confined SCC column, strength enhancement, stress-strain relationship, ductility ratio, and load deflection relationship are the parameters studied. The results are compared to establish the adequacy of the confinement. The wrapping of GFRP increases the load-carrying capacity and modulus of elasticity.
我们通过实验研究了采用聚丙烯纤维绳和玻璃纤维增强聚合物片材混合约束加固的自密实混凝土柱的抗压行为。我们浇注并测试了八个承受轴向压缩荷载的柱试件。(使用的混凝土标号为 SCC M40。在加固方面,SCC 柱采用了不同体积比的 GFRP 包层和聚丙烯纤维绳。研究的参数包括受限 SCC 柱的抗压性、强度增强、应力应变关系、延性比和荷载挠度关系。通过比较研究结果,可以确定约束是否充分。包裹 GFRP 增加了承载能力和弹性模量。
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引用次数: 0
Establishing regression and artificial neural network model in predicting the performance of recycled aggregate concrete 建立预测再生骨料混凝土性能的回归和人工神经网络模型
Q2 Engineering Pub Date : 2024-01-10 DOI: 10.1556/1848.2023.00734
Karthiga Murugan, Meyyappan Palaniappan, Balakrishnan Baranitharan
Various developing countries are confronted with serious environmental difficulties due to excessive resource utilization and insufficient waste management system. In particular, construction and demolition waste poses a grave threat to the environment, contributing to escalating energy consumption, the depletion of landfill capacities, and the generation of harmful noise and dust pollution. Consequently, the research community is tasked with the daunting challenge of devising effective strategies to incorporate this waste material in producing concrete, without compromising the critical strength and durability characteristics. The investigation aims to attain the aforementioned objective by examining the effects of using recycled aggregates as a distinct partial replacement of 0%, 5%, 10%, 15%, and 20% on the compressive and split tensile strength traits, contingent upon 7 and 28 days of age of curing. Experimental test results show that the optimal concrete production is achieved when 10% of coarse aggregate is replaced with recycled aggregate, maintaining 98% of the materials compressive and split tensile strength. To further validate the obtained experimental data, model equations were derived through regression analysis and the framed model equation is further assessed for accuracy using error analysis. In this study, a MATLAB program was utilized for prediction of compressive and split tensile strength with five distinct network types and the Levenberg-Marquardt algorithm is used for optimization. A comparative analysis was conducted between the regression analysis values and the performance of the ANN modelling. The findings demonstrate that the Artificial Neural Network (ANN) serves as a highly effective model, offering significantly improved accuracy in predicting the optimal correlation between compressive strength and split tensile strength of concrete.
由于资源利用过度和废物管理系统不足,许多发展中国家都面临着严重的环境问题。特别是,建筑和拆除废物对环境构成严重威胁,导致能源消耗上升、垃圾填埋场容量耗尽以及产生有害的噪音和粉尘污染。因此,研究界面临着一项艰巨的挑战,即制定有效的策略,在不影响关键强度和耐久性特征的前提下,将这些废料用于生产混凝土。为了实现上述目标,本研究分别使用 0%、5%、10%、15% 和 20% 的再生骨料对 7 天和 28 天养护龄期的抗压强度和劈裂拉伸强度特性进行了研究。实验测试结果表明,当用再生骨料替代 10%的粗骨料时,混凝土产量达到最佳,材料的抗压和劈裂拉伸强度保持在 98%。为了进一步验证所获得的实验数据,通过回归分析得出了模型方程,并通过误差分析进一步评估了框架模型方程的准确性。本研究使用 MATLAB 程序预测五种不同网络类型的抗压和劈裂拉伸强度,并使用 Levenberg-Marquardt 算法进行优化。对回归分析值和人工神经网络建模的性能进行了比较分析。研究结果表明,人工神经网络(ANN)是一种非常有效的模型,在预测混凝土抗压强度和劈裂拉伸强度之间的最佳相关性方面,其准确性有了显著提高。
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引用次数: 0
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International Review of Applied Sciences and Engineering
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