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Unscented hybrid simulated annealing for fast inversion of tunnel seismic waves

机译:隧道地震波快速反演的无味混合模拟退火

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A new hybridized global optimization method that combines simulated annealing global search with unscented Kalman filter minimization is proposed to solve waveform inversion for predicting ahead of the underground tunnel face. The authors demonstrate in this work fast and reliable convergence of this new algorithm through validation of optimization of a multi-minima test function and inversion of synthetic tunnel seismic waveforms to predict the geological structure ahead of the tunnel face. With regard to the engineering application, the successful identification of the true model by minimizing a multimodal misfit functional for wide feasible bounds of the model parameters confirms that waveform inversion by the improved global optimization method is promising for practical applications with real measurement data. (C) 2015 Elsevier B.V. All rights reserved.
机译:提出了一种将模拟退火全局搜索与无味卡尔曼滤波最小化相结合的混合全局优化方法,以解决波形反演的地下隧道面预测问题。作者在这项工作中通过验证多个最小值测试函数的优化以及对合成隧道地震波形进行反演以预测隧道面之前的地质结构,证明了该新算法的快速可靠的收敛性。对于工程应用,通过在模型参数的广泛可行范围内最小化多峰失配函数来成功识别真实模型,证实了通过改进的全局优化方法进行的波形反演对于具有实际测量数据的实际应用是有希望的。 (C)2015 Elsevier B.V.保留所有权利。

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