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| 1 | A Robust Damage Detection Method Developed for Offshore Jacket Platforms Using Modified Artificial Immune System Algorithm显示文摘Steel jacket-type platforms are the common kind of the offshore structures and health monitoring is an important issue in their safety assessment.In the present study,a new damage detection method is adopted for this kind of structures and inspected experimentally by use of a laboratory model.The method is investigated for developing the robust damage detection technique which is less sensitive to both measurement and analytical model uncertainties.For this purpose,incorporation of the artificial immune system with weighted attributes(AISWA) method into finite element(FE) model updating is proposed and compared with other methods for exploring its effectiveness in damage identification.Based on mimicking immune recognition,noise simulation and attributes weighting,the method offers important advantages and has high success rates.Therefore,it is proposed as a suitable method for the detection of the failures in the large civil engineering structures with complicated structural geometry,such as the considered case study. | Mojtahedi A. Lotfollahi Yaghin M.A. Hassanzadeh Y. Abbasidoust F. Ettefagh M.M. Aminfar M.H. | 2012 | China Ocean Engineering2012，26，3： | 4 |
| 2 | Parametric Study on the Effects of Pile Inclination Angle on the Response of Batter Piles in Offshore Jacket Platforms显示文摘近海夹克衫类型平台被纳入海床由长击打堆积。在这份报纸,源于有限元素分析,对试验性的数据验证了,被用来学习堆积倾斜角度的效果,并且它和堆积的几何性质和支持夹克衫平台的使倾向的堆积的行为上的包围土壤的 geotechnical 特征的相互作用。结果证明倾斜角度是影响行为的主要参数之一一近海堆积。我们在垂直方向在最大的 von 协定压力,最大的 von 协定有弹性的紧张,最大的排水量向量和,在水平方向的最大的排水量,和最大的排水量上调查了倾斜角度的效果。堆积似乎有约 5 的倾斜的操作上最佳的度为一个 NACA6409 翅膀的力量,速度,和排水量解决在一 40,和 20 ? | Ali Aminfar Hamid Ahmadi Mohammad Hossein Aminfar | 2016 | Journal of Marine Science and Application2016，15，2： | 2 |
| 3 | Stress Concentration Factors at Saddle and Crown Positions on the Central Brace of Two-Planar Welded CHS DKT-connections显示文摘一套参量的压力分析在不同轴的装载条件下面为二平面的管状的 DKT 关节被执行。分析结果被用来在中央钩住上在内部僵绳,外部僵绳,和王冠位置在压力集中因素(SCF ) 上在几何参数的效果上介绍一般讲话。把分析基于有限元素(FE ) 的结果并且通过非线性的回归分析, SCF 参量的方程的一个新集合为疲劳设计目的被建立。方程的评价研究对试验性的数据和原来的 SCF 数据库被进行。标准由 UK 能源部(英国雌动物) 建议了的接受的满足也被检查。参量的学习的结果证明高度显著的差别在有一样的几何性质的一个相等的位于同一平面的 KT 关节在多平面的 DKT 关节和相应 SCF 在 SCF 价值之间存在。它能清楚地从这观察被结束使用方程建议在多平面的 DKT 关节计算 SCF 的位于同一平面的 KT 连接将导致更加下面预言或过去预言的结果为。因此,开发特殊为多平面的 DKT 关节设计的 SCF 公式是必要的。根据英国雌动物接受,标准,关联系数的高值,和在建议方程和试验性的数据的预言之间的令人满意的协议保证方程的精确性得到的方程评价的好结果。因此,发达方程能可靠地为疲劳设计被使用近海结构。 | Hamid Ahmadi Mohammad Ali Lotfollahi-Yaghin Mohammad H. Aminfar | 2012 | Journal of Marine Science and Application2012，11，1： | 2 |
| 4 | Experimental Investigation of TARMAX Model for Modeling of Hydrodynamic Forces on Cylinder-like Structures显示文摘A new approach that models lift and drag hydrodynamic force signals operating over cylindrical structures was developed and validated. This approach is based on stochastic auto regressive moving average with exogenous (ARMAX) input and its time-varying form, TARMAX. Model structure selection and parameter estimation were discussed while considering the validation stage. In this paper, the cylindrical structure was considered as a dynamic system with an incoming water wave and resulting forces as the input and outputs, respectively. The experimental data, used in this study, were collected from a full-scale rough vertical cylinder at the Delft Hydraulics Laboratory. The practicality of the proposed method and also its efficiency in structural modeling were demonstrated through applying two hydrodynamic force components. For this purpose, an ARMAX model is first used to capture the dynamics of the process, relating in-line forces provided by water waves;secondly, the TARMAX model was applied to modeling and analysis of the lift forces on the cylinder. The evaluation of the lift force by the TARMAX model shows the model is successful in modeling the force from the surface elevation. | M. A. Lotfollahi Yaghin A. Mojtahedi M. M. Ettefagh M. H. Aminfar | 2011 | Journal of Marine Science and Application2011，10，3： | 2 |
| 5 | A combined neural-wavelet model for prediction of Ligvanchai wa- tershed precipitation显示文摘 | Nourani V Alami M T Aminfar M H | 2009 | Engineering Applications of Artificial Intelligence2009，22，3： | 1 |
| 6 | Effect of stress concentration factors on the structural integrity assessment of multi-planar offshore tubular DKT-joints based on the fracture mechanics fatigue reliability approach显示文摘 | AMINFAR M H | 2011 | Ocean Engineering2011，38，17： | 1 |
| 7 | A combined neural-wavelet model for prediction of Ligvanchai Watershed precipitation显示文摘 | Vahid Nourani Mohammad T Alami Mohammad H Aminfar | 2009 | Engineering Applications of Artificial Intelligence2009，22，： | 1 |
| 8 | Developing a robust SHM method for offshore jacket platform using model updating and fuzzy logic system显示文摘 | A. Mojtahedi M.A. Lotfollahi Yaghin Y. Hassanzadeh M.M. Ettefagh M.H. Aminfar A.B. Aghdam | 2011 | Applied Ocean Research2011，，4： | 1 |
| 9 | Investigation on the Effect of Geometrical and Geotechnical Parameters on Elongated Offshore Piles Using Fuzzy Inference Systems显示文摘Among numerous offshore structures used in oil extraction, jacket platforms are still the most favorable ones in shallow waters. In such structures, log piles are used to pin the substructure of the platform to the seabed. The pile's geometrical and geotechnical properties are considered as the main parameters in designing these structures. In this study, ANSYS was used as the FE modeling software to study the geometrical and geotechnical properties of the offshore piles and their effects on supporting jacket platforms. For this purpose, the FE analysis has been done to provide the preliminary data for the fuzzy-logic post-process. The resulting data were implemented to create Fuzzy Inference System(FIS) classifications. The resultant data of the sensitivity analysis suggested that the orientation degree is the main factor in the pile's geometrical behavior because piles which had the optimal operational degree of about 5° are more sustained. Finally, the results showed that the related fuzzified data supported the FE model and provided an insight for extended offshore pile designs. | Ali AMINFAR Alireza MOJTAHEDI Hamid AHMADI Mohammad Hossain AMINFAR | 2017 | China Ocean Engineering2017，31，3： | 1 |
| 10 | A CombinedNeural-Wavelet Model for Prediction of LigvanchaiWatershed Precipitation显示文摘 | Nourani V Alami M T Aminfar M H | 2009 | Engineering Applicationsof Artificial Intelligence2009，22，3： | 1 |
| 11 | Unsteady 2-D seepage simulation using physical an- alog, case of Sattarkhan embankment dam显示文摘 | Vahid Nourani Mohammad Hossein Aminfar Mohammad Taghi Alanli | 2014 | Original Research Artiele Journal of Hydrology2014，519，11： | 1 |
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