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Intelligent parallel computing methods for recognizing rock mechanical models and parameters

机译：识别岩石力学模型和参数的智能并行计算方法

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Since recognition of parameters and constitutive models is often highly nonlinear and multi-modal in the large parameter space, it is necessary to look for the global optimum method and its parallel realization. This paper reports genetic algorithms for recognizing unknown coefficients in mechanical model and connection weights of neural network model for rock mechanical problems, and genetic programming algorithms to recognize the structure of mathematical/mechanical models and topology of rock mechanical neural network models. Finally, as examples, recognition of mechanical parameters of rockmass related to permanent shiplock in Three Gorges Project using an integration of genetic algorithm, neural network, and finite element method is given. Recognition of constitutive model for a soft rock using an integration of genetic algorithm and genetic programming is also discussed. RsmVPC, a new visual parallel computing environment, is developed on Windows platform for parallel realization of the algorithm mentioned above. A complex rock mechanical task can thus be divided and solved by many personal computers at the same time, not only a personal computer. Therefore, the scale of computing can be large enough and the computing velocity can be fast enough to satisfy needs of a true problem.

机译：由于参数和本构模型的识别通常在较大的参数空间中是高度非线性和多峰的，因此有必要寻找全局最优方法及其并行实现。本文介绍了用于识别岩石力学问题的力学模型中未知系数和神经网络模型的连接权重的遗传算法，以及用于识别数学/力学模型的结构和岩石力学神经网络模型的拓扑结构的遗传编程算法。最后，结合遗传算法，神经网络和有限元方法，对三峡工程永久性船闸相关岩体力学参数进行了识别。还讨论了使用遗传算法和遗传规划相结合的软岩本构模型识别方法。在Windows平台上开发了一种新的可视化并行计算环境RsmVPC，用于并行实现上述算法。因此，复杂的岩石力学任务可以同时由许多个人计算机（不仅是个人计算机）进行划分和解决。因此，计算规模可以足够大并且计算速度可以足够快以满足实际问题的需要。

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《Rock Mechanics in the National Interest》|2001年|p.1561-1565|共5页
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Xia-Ting Feng; Shaojun Li; Youliang Zhang;
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1. Analytic methods for recognizing the viscoelastic mechanical model of surrounding rocks at non-round tunnels [J] . Xue Lin, Yang Zhifa, Shang Yanjun Scientia geologica sinica . 1998,第2期

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4. Intelligent parallel computing methods for recognizing rock mechanical models and parameters [C] . Xia-Ting Feng, Shaojun Li, Youliang Zhang U.S. rock mechanics symposium . 2001

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Intelligent parallel computing methods for recognizing rock mechanical models and parameters

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