The identification of crack parameters and stress intensity factors in aluminum plates under tensile loading is in the focus of the presented research. In this regard, data of strain gauges, distributed along the edges of the samples, are interpreted. In the experiments, slit-shaped notches take the role of cracks located in the interior of the specimens. Their positions, inclinations and lengths as well as the magnitudes of external loadings are identified solving the inverse problems of cracked plates and associated strain fields. Exploiting the powerful approach of distributed dislocations, based on Green’s functions provided by the framework of linear elasticity, in conjunction with a genetic algorithm, allows for a very efficient identification of the sought parameters, thus being suitable for in situ monitoring of engineering structures. Tested samples exhibit one or two straight crack-like notches as well as a kinked one.

拉伸载荷下铝板裂纹参数和应力强度因子的识别是目前研究的重点。在这方面，解释了沿样品边缘分布的应变仪数据。在实验中，狭缝形的缺口起着位于试样内部的裂纹的作用。确定了它们的位置，倾角和长度以及外部载荷的大小，从而解决了破裂板和相关应变场的反问题。基于线性弹性框架提供的格林函数，结合遗传算法，利用强大的分布错位方法，可以非常有效地识别所需的参数，因此适合对工程结构进行现场监测。