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INVESTIGATION ON THE SHIP HULL GIRDER STRENGTH WITH GROUNDING DAMAGE 考虑搁浅损伤的船体梁强度研究
IF 0.2 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2018-10-08 DOI: 10.7454/MST.V22I2.3355
M. Alie, R. Adiputra
The objective of the present study is to investigate ship hull girder strength as a result of grounding damage upon longitudinal bending. A bulk carrier and tanker are analyzed and Smith’s Method is adopted and implemented in the analysis program. An efficient solution procedure is performed by assuming the cross-section remains plane and the vertical bending moment is applied to the cross section. As a fundamental case, the damage is simply created by removing the elements from the cross section. Welding residual stress, initial imperfections, and crack extensions are not considered. The grounding damage is made by two conditions, namely those are placed at the center part of the cross section and those located at an asymmetric position. To determine the ultimate strength, which includes the progressive collapse behavior of ship hull with damage, the simply supported scenario is imposed to the cross section and hogging and sagging conditions are taken into account. The results obtained for intact and damage conditions by the in-house program are compared with one another to observe the collapse behavior in advance.
本研究的目的是研究船体梁在纵向弯曲时因接地损坏而产生的强度。对一艘散货船和油轮进行了分析,并在分析程序中采用和实现了Smith方法。通过假设横截面保持平面并将垂直弯矩施加到横截面,可以执行有效的求解程序。作为一种基本情况,损伤只是通过从横截面上移除元件来产生的。不考虑焊接残余应力、初始缺陷和裂纹扩展。接地损坏是由两种情况造成的,即位于横截面中心部分的情况和位于不对称位置的情况。为了确定极限强度,包括船体在有损伤的情况下的渐进倒塌行为,将简支情景应用于横截面,并考虑了拱起和下垂条件。将内部程序在完整和损坏条件下获得的结果相互比较,以提前观察坍塌行为。
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引用次数: 2
Internet Traffic Forecasting Model using Self Organizing Map and Support Vector Regression Method 基于自组织映射和支持向量回归方法的网络流量预测模型
IF 0.2 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2018-10-08 DOI: 10.7454/MST.V22I2.3351
Enrico Laoh, Fakhrul Agustriwan, Chyntia Megawati, I. Surjandari
Internet traffic forecasting is one of important aspect in order to fulfill the customer demand. So, the service quality of internet service provider (ISP) can be maintained at the good level. In this study self organizing map (SOM) and support vector regression (SVR) algorithm are used as forecasting method. SOM is first used to decompose the whole historical data of traffic internet into clusters, while SVR is used to build a forecasting model in each cluster. This method is used to forecast ISPs traffic internet in Jakarta and surrounding areas. The result of this study shows that SOM-SVR method gives more accurate result with smaller error value compared to that of the SVR method.
网络流量预测是满足用户需求的一个重要方面。因此,互联网服务提供商(ISP)的服务质量可以保持在良好的水平。本研究采用自组织映射(SOM)和支持向量回归(SVR)算法作为预测方法。首先使用SOM将整个交通互联网的历史数据分解成簇,然后使用支持向量回归在每个簇上建立预测模型。该方法用于预测雅加达及周边地区的互联网服务提供商流量。研究结果表明,与SVR方法相比,SOM-SVR方法得到的结果更准确,误差值更小。
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引用次数: 1
STRENGTH STRUCTURE ANALYSIS OF MAIN GATE GRAVING DOCK WITH PONTOON TYPE FOR CONDITION REPAIR 浮筒式主闸门状态检修重力坞强度结构分析
IF 0.2 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2018-10-08 DOI: 10.7454/mst.v22i2.3384
Budianto Budianto
Main gate graving dock with pontoon type can certainly suffered some level of damage after a long period of operation. Many employments within the graving dock can delay the process repair of main gate. The main gate may not be opened, because employees are still working to ship fabrication process under sea waterline. For accommodate these interrelated conditions, the best solution with repair one side of the main gate with type pontoon and employees can still work ship fabrication process in graving dock conducted simultaneously. The repair process conditions must be required main gate structure that consists of only one part of the shell withstand the forces that occur, such as weight self and sea pressure. It must be considered with analysis of the strength structures of main gate graving dock with pontoon type. Finite element method can solve the problem of structural analysis using the element discretion approach to find a node or joint displacement and the forces that occur in structural repair conditions at main gate. The maximum bending stress value obtained during the main gate repair process is 153 mPa, and the allowable stress value is classified as 157 mPa. Since these conditions are approaching the allowable limit, the main gate needs to be given insert plates for reinforcement. Deformation is found to be 12 mm, and the deformation limit is 35 mm based on the rule's classification.
浮筒式主闸门装卸码头在长时间运行后肯定会受到一定程度的损坏。装卸码头内的许多工作可能会延迟主闸门的工艺维修。主闸门可能不会打开,因为员工仍在海上水线下进行船舶制造过程。为了适应这些相互关联的条件,最好的解决方案是修理带浮筒的主闸门一侧,员工仍然可以在装卸坞同时进行船舶制造过程。修复工艺条件必须是主闸门结构所需,该结构仅由壳体的一部分组成,能够承受出现的力,如自重和海压力。浮船型主闸门重力坞的强度结构分析必须考虑这一点。有限元方法可以解决结构分析问题,使用单元自由裁量法来寻找节点或节点位移以及在主闸门结构修复条件下发生的力。在主闸门修复过程中获得的最大弯曲应力值为153mPa,容许应力值分类为157mPa。由于这些条件已接近允许极限,因此需要为主闸门提供用于加固的插入板。根据规则的分类,发现变形为12mm,变形极限为35mm。
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引用次数: 1
Application of Empirical Orthogonal Function Models to Analyze Shoreline Change at Bangkalan Madura 应用经验正交函数模型分析Bangkalan Madura岸线变化
IF 0.2 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2011-11-01 DOI: 10.7454/MST.V15I2.933
Darius Arkwright, Suntoyo
Bangkalan’s shoreline, especially on the opposite side of Surabaya, has been evaluated to determine the morphological changes due to wave attack, near-shore current, long-shore sediment transport and coastal configuration. This research aims to determine the dominant patterns of variation of Bangkalan’s shoreline change, expressed by Eigen-function in empirical orthogonal function (EOF) models. That was started with data collection such as oceanographic data (wave and tidal), bathymetry and topographic map and sediment data. All data was used for forecasting two-monthly shoreline. Coordinate of two-monthly shoreline was used as input of EOF model. The first Eigen mode is a profile of shoreline equilibrium. The second Eigen mode shows pivot point that separates the different behaviors, which indicates a positive balance of shoreline from the direction of the dominant force. The models execution based on 1986’s shoreline show the shoreline change significantly at some cells e.g. around Suramadu bridge (cell 1-40), Batuporon (cell 70-100), Jungdima (cell 142-170) and at Kamal port (cell 230-250). The model of shoreline change using EOF was validated with the One-line model and data of 1995’s map’s shoreline. The E.O.F. value of model RMSE, 0.02, is less than the root mean square error (RMSE) value of One-line model, 0.04, which shows that the EOF model performance better than One-line models.
Bangkalan的海岸线,特别是泗水对面的海岸线,已经被评估,以确定波浪攻击,近岸水流,长岸沉积物运输和海岸配置造成的形态变化。本研究旨在确定邦卡兰岸线变化的主导变化模式,并在经验正交函数(EOF)模型中用特征函数表示。这是从数据收集开始的,如海洋学数据(波浪和潮汐)、测深和地形图以及沉积物数据。所有数据用于预测两个月的海岸线。EOF模型以两个月岸线坐标作为输入。第一个特征模态是海岸线平衡剖面。第二个特征模态显示了分离不同行为的枢轴点,这表明海岸线与主导力方向的正平衡。根据1986年的海岸线执行的模型显示,在苏拉玛杜大桥(1-40号)、巴图波隆(70-100号)、Jungdima(142-170号)和Kamal港(230-250号)周围,一些单元的海岸线发生了显著变化。利用单线模型和1995年地图岸线数据对EOF模型进行了验证。模型RMSE的E.O.F.值为0.02,小于One-line模型的均方根误差(RMSE)值0.04,说明EOF模型的性能优于One-line模型。
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引用次数: 0
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Makara Journal of Technology
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