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111.
Response analysis of a truss spar in the frequency domain 总被引:1,自引:0,他引:1
Keyvan?SadeghiEmail author Atilla?Incecik Martin J.?Downie 《Journal of Marine Science and Technology》2004,8(3):126-137
The nonzero added-mass coefficients of a platform are found by using the transformation law for a second-order tensor, and the repeated application of the parallel-axes theorem. The excitation forces acting on the truss section of the platform are derived by an approach that differs from the conventional one commonly seen in the literature. The force decomposition of the Morison equation is used to add viscous effects to linear equations of motion. The nonlinear equation of motion for the heave of the truss spar is solved without any iteration in the frequency domain. The results obtained from this analysis are compared with results obtained from the conventional numerical approach and with experimental data. 相似文献
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以桥梁单元的刚度下降率作为损伤指数,通过列车—桥梁耦合振动理论计算列车动力响应对桥梁损伤指数的灵敏度,并构建立灵敏度矩阵和建灵敏度方程,利用约束优化方法求解灵敏度方程得到各单元的损伤指数,实现对桥梁损伤的诊断。应用该方法对1座简支梁桥进行损伤诊断的结果表明:该方法对轨道不平顺不敏感;利用列车车体和转向架的加速度、速度和位移响应均能对桥梁进行准确的损伤诊断,但这3种响应信号中的位移响应最难测量,而且相对于转向架而言,在车体上更容易布置传感器,因此建议优先选用车体加速度和速度响应作为桥梁损伤诊断的输入;该方法既能诊断桥梁单一位置的损伤,也能识别桥梁多个位置的损伤。 相似文献
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In this work, a hybrid approach for wave spectrum estimation is proposed. Fundamentally, the approach is based on the wave buoy analogy, processing ship response measurements, via a framework combining machine learning and a physics-based method dependent on available transfer functions. Specifically, a non-parametric (Bayesian) estimate is obtained of the directional wave spectrum conditioned on integral wave parameters established by a convolutional neural network. The developed method is assessed in a case study considering about two years of data obtained from an in-service container ship. The method produces good results, significantly improved when compared to the initial estimate made without constraints. 相似文献
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Knowledge of thermal history is the basic condition for studying the structure - properties of welded joints. The determinant of thermal history is the thermal cycle, whose in-situ measurements are still a big challenge. Water as the welding environment complicates this issue even more. The article presents a method to determine an equation for calculating t8/5 cooling times for underwater gas metal arc welding of unalloyed steels using the local dry cavity method. The work uses the contact method of temperature measurements with the use of thermocouples to obtain the temperature changes of the points of welded joints covered by the thermal field. On this basis, the values of the t8/5 cooling times were determined. A regression analysis of the Response Surface Method was used to determine the equation, which resulted in a second-order model with interactions. Statistically significant factors were determined (thickness of welded elements and heat input value) and the model veracity was confirmed as the assumptions of normality and homogeneity of variance (homoscedasticity) of the residuals were met. The t8/5 cooling time values depend on the thickness of the welded elements and heat input value in a nonlinear way. In terms of the test conditions, the cooling times ranged from 3.0 to 7.7 s. The equation allowed for the calculation of t8/5 cooling times during underwater welding of unalloyed steels using the local dry cavity method based on the variability of the experimental conditions with satisfactory accuracy. 相似文献