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Damage Identification of Structures Based on Smooth Orthogonal Decomposition and Improved Beetle Antennae Search Algorithm

机译:基于光滑正交分解的结构损伤识别和改进甲虫天线搜索算法

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A novel damage identification method that utilizes the smooth orthogonal decomposition (SOD) combined with the improved beetle antennae search algorithm (BAS) presented by previous scholars is proposed. Firstly, the damage index which can track the curvature changing of mode shape identified by the SOD method is generated by an adaptive polynomial fit method. The locations of structure damages are determined according to the damage index. Thus, the number of possible damaged elements needed to be taken into account can be reduced when calculating the degree of damage. Then, the reduction in the stiffness at the damage location of the structure is calculated by the improved BAS in which the fitness function is constructed by calculated frequencies of the damaged structure in each iteration and the modal frequencies obtained by SOD. The BAS algorithm is improved through a fusion strategy of simulated annealing theory. Thus, the improved BAS algorithm is efficient and adaptive. The effect of this combined application in damage identification has been verified by numerical examples of a simply supported beam with single damage and a cantilever beam with double damage. The numerical results show that this combined algorithm exhibits high reliability in damage identification of beam-like structures.
机译:提出了一种新的损伤识别方法,其利用顺利正交分解(SOD)与先前学者提出的改进的甲虫天线搜索算法(BAS)结合使用。首先,通过自适应多项式拟合方法产生可以跟踪由SOD方法识别的模式形状的曲率变化的损伤指数。结构损坏的位置根据损伤指数确定。因此,在计算损坏程度时可以减少所需考虑所需的可能损坏元件的数量。然后,通过改进的BAS计算结构的损坏位置处的刚度的减小,其中通过计算每个迭代中的损坏结构的损坏频率和通过SOD获得的模频频率来构造配合功能。通过模拟退火理论的融合策略改善了BAS算法。因此,改进的BAS算法是有效和自适应的。通过单一损坏的简单支撑梁的数值示例和具有双重损坏的悬臂梁的数值示例,已经通过单一损坏的数值示例验证了这种组合应用的效果。数值结果表明,该组合算法在梁状结构的损伤识别方面表现出高可靠性。

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