首页> 外文期刊>Journal of mechanics of materials and structures >DIAGNOSIS OF CONCRETE DAMS BY FLAT-JACK TESTS AND INVERSE ANALYSES BASED ON PROPER ORTHOGONAL DECOMPOSITION
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DIAGNOSIS OF CONCRETE DAMS BY FLAT-JACK TESTS AND INVERSE ANALYSES BASED ON PROPER ORTHOGONAL DECOMPOSITION

机译:基于平面正交分解的平顶试验诊断混凝土损伤及反分析

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摘要

Flat-jack tests have been employed for decades for the assessment of stresses and Young moduli in possibly deteriorated concrete dams and masonry structures. We propose a procedure for such tests that includes several innovations: identification of Young moduli and shear modulus in the presence of orthotropy, of pre-existing normal and shear stresses, and of tensile and compressive strength and fracture energy; use of full-field displacement measurements by digital image correlation (instead of extensometers); computer simulations performed once-and-for-all and productive of results which are subsequently processed out by proper orthogonal decomposition and its truncation; and identification of parameters in situ, soon after the tests, by portable computer with software able to perform inverse analyses by mathematical tools newly introduced into this context. The proposed procedure is validated by means of pseudoexperimental numerical exercises, by employing comparatively, as central computational tools, artificial neural networks and a trust region algorithm implying only first-order derivatives (with respect to the sought parameters) of the discrepancy function to minimize.
机译:扁平式千斤顶试验已用于评估可能恶化的混凝土大坝和砖石结构中的应力和杨氏模量数十年。我们提出了一种用于此类测试的程序,其中包括多项创新:在正交各向异性的存在下,在既有的法向应力和剪应力以及拉伸和压缩强度以及断裂能的存在下,确定杨氏模量和剪切模量;通过数字图像关联(而不是引伸计)使用全场位移测量;一劳永逸地进行计算机模拟并产生结果,随后通过适当的正交分解及其截断处理这些结果;测试后不久,通过便携式计算机和就地参数的识别,该便携式计算机具有能够通过新引入的数学工具进行逆分析的软件。拟议的程序是通过伪实验数值练习验证的,方法是比较地采用人工神经网络和信任域算法作为中央计算工具,这仅意味着差异函数的一阶导数(相对于所寻找的参数)最小。

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