DLV(damage locating vector)家族方法由BERNAL于2002年提出后,因其创新巧妙的求解思想而引起结构健康监测研究领域的广泛关注。其应用于加速度测试数据进行结构损伤定位识别的有效性已通过多组试验得到证明。然而基于静力测试数据进行结构损伤识别将具有更高的精度和数值稳定性。该文基于静力位移测试数据,构建结构柔度矩阵,提出位移DLV方法,并编制了通用有限元程序。通过数值仿真分析对位移DLV方法的有效性进行了研究,数值分析结果表明:位移DLV方法能够利用少数测点信息识别出结构的损伤位置。同时研究了若干影响因素如测点数量、损伤位置、测点布置、测量误差等对方法应用的影响。
The DLV(damage locating vector) method proposed by Bernal in 2002 has received significant attention in structural health monitoring (SLIM) field because of its innovative and skillful solution concept. The method was verified by a series of proof-of-concept tests measuring accelerations. However, static measurements are more reliable in practice. In this paper, a displacement DLV method, i.e. a method combining DLV and static displacement measurements, has been developed and a common finite element program has been compiled. A series of numerical simulations have been conducted to verify the validity of the displacement DLV method and investigate the influencing discipline of a few factors that is related to the method. From these results, the proposed displacement DLV method is shown to determine damage locations successfully using a smaller number of displacement data. The issues such as the sensor number, damage location, and the choice of measuring points are discussed as well.