• As an elementary attempt, the modern immune algorithm (IA) is employed to tackle the quantitative crack identification.

    对现代免疫算法在裂纹定量辩识上的应用进行了初步的尝试。

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  • The effectiveness and the practicality of crack identification through vibration measurements are verified through experimental study.

    实验结果验证了通过振动测试诊断裂纹参数的有效性和实用性。

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  • It can be seen that the efficiency of the dynamic model and the searching of crack parameters is crucial to the practical application of the quantitative crack identification techniques.

    由此可见,裂纹的定量辩识对动力学计算模型和裂纹参数搜索两方面的效率要求非常高,关系到其在工程实际中是否具有应用价值。

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  • Identification of the influence of reinforcing bar (REBAR) for ultrasonic detection of crack depth in concrete was studied through theoretical analysis.

    通过理论分析提出了在超声波检测钢筋混凝土构件裂缝深度时判辨钢筋影响的方法。

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  • The diagnosis and identification of the crack length for the disk parts is attached importance to.

    所以圆盘类零件裂纹长度的诊断识别问题越来越受到重视。

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  • The novel identification method of single crack situated in a strip and parallel with the boundaries is studied.

    研究条形平板中平行于上下边界的单一裂纹的识别问题。

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  • The group identification of elastic modulus, in-situ stress and damage parameters is processed respectively according to the different number of crack group contained in the rock mass.

    讨论了含一组裂隙和两组裂隙情况下弹性模量与损伤参数共同辨识、地应力与损伤参数共同辨识以及三者同时辨识时的可靠性问题。

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  • In this paper, for the joint rock mass with medial size and in-group crack, parameter identification of its geometrical damage model is studied by back analysis of in-situ measured displacement.

    对包含中等尺寸的成组分布裂隙的岩体,采用岩体几何损伤本构模型,用监测位移反馈分析法同时辨识岩体弹性模量、地应力及损伤参数。

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  • Besides analyzing the detection of the pavement from home and abroad, the key technologies about automatic detection and identification of pavement crack was studied in the paper.

    论文在分析国内外路面检测技术的基础上研究了路面裂纹自动检测与识别的关键技术。

    youdao

  • Besides analyzing the detection of the pavement from home and abroad, the key technologies about automatic detection and identification of pavement crack was studied in the paper.

    论文在分析国内外路面检测技术的基础上研究了路面裂纹自动检测与识别的关键技术。

    youdao

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