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Bernal通过对DLV(Damage Locating Vector)方法的改进,提出了SDLV(Stochastic Damage Locating Vector)方法,较好解决了环境激励下未知输入的DLV法应用问题.本文以两边简支的弹性矩形薄板为研究对象,采用弹性模量降低模拟损伤,基于SDLV方法对弹性薄板在4种损伤工况下的损伤识别进行数值模拟研究,对比分析了各类损伤指标对识别精度的影响.工况1:靠近支座处的一个单元损伤;工况2:跨中处一个单元损伤;工况3:靠近支座处两个相邻单元损伤;工况4:跨中处2个相邻单元损伤.数值模拟结果验证了SDLV方法应用于弹性薄板损伤识别的可行性,损伤所在位置、损伤单元的数目以及损伤指标的选择对损伤识别精度有一定影响.基于SDLV方法弹性薄板的损伤识别指标可以有规则化主应力、内力和应变能3种选择,如果联合运用多种损伤指标,可以更准确地定位弹性薄板的损伤.
Bernal proposed a Stochastic Damage Locating Vector (SDLV) method through the improvement of DLV (Damage Locating Vector) method, which solved the problem of DLV method with unknown input stimulated by environmental stimuli.In this paper, Object, using the elastic modulus to reduce the simulation damage, based on the SDLV method, the damage identification of the elastic thin plate under four kinds of damage conditions is studied numerically and the influence of various damage indexes on the recognition accuracy is compared and analyzed.Working condition 1: A unit of damage at seat 2: a unit of damage at mid-span 3: a condition of damage of two adjacent units near stand 3: a case 4: damage of two adjacent units at the mid- The feasibility of SDLV method for damage identification of elastic thin plate is verified, the location of damage, the number of damaged cells and the choice of damage index have certain influence on the accuracy of damage identification.The damage identification index of elastic thin plate based on SDLV method can have normalized principal stress , Internal force and strain energy of three options, if the joint use of a variety of damage indicators, you can more accurately locate the elastic sheet damage.