11 research outputs found

    A frequency-domain full waveform inversion method of elastic waves in quantitative defection investigation

    Get PDF
    857-866Full waveform inversion is a challenging data-fitting procedure based on full wave field modeling to extract quantitative information on elastic properties of subsurface structures. We developed a frequency-domain full-waveform inversion method of elastic waves for stratified media, adopting a quasi-linearization method coupled with a random search algorithm. The inversion process of this method is irrelevant to hypocenter function and can be considered as a kind of combination between the heuristic and non-heuristic inversion methods. To verify our method, we apply it to three numerical two-dimensional models with different intermediate structures (dipping, arched and hollow), and their structures are well revealed. With some pretreatments on response waveforms, such as filtering, normalization and correlation analysis, the full-waveform inversion method is extended to models with damaged area and its feasibility and accuracy verified. Alignment of full waveform inversion method and its cost of computing, several strategies exist to treat this quantitative detecting problem. In Chengdu-Chongqing guest emergency project, the application of full waveform inversion method saves a lot of time. In this method, each section only needs 2 detectors and only need to be hammered twice, while the traditional CT (Computed Tomography) test requires 11 detection filters and at least 11 hammering, and each section has 121 waveform data. In some cases, we can obtain some important priori information through field investigation. The priori information can be used to accelerate the inversion process

    BP網絡和遺傳算法在巖石邊坡位移反分析中的應用

    No full text
    Two important aspects in displacement back analysis, calculation efficiency and reliability, are discussed. Firstly the error back-propagation neural network (BP network) is used to substitute the time-consuming finite element analysis, and secondly genetic algorithm is used for the optimization of objective function, making back-analyzed solutions irrelevant to initial values. The feasibility is verified by back analysis of a three-media slope. 探討了計算速度和可靠性這兩個在位移反分析工作中非常重要的問題。一方面用 BP網絡代替有限元計算提高了計算效率 ,另一方面用遺傳算法代替常規的優化算法 ,使反分析結果與初值無關。三介質邊坡算例驗證了上述解決方案的可行性。link_to_subscribed_fulltex
    corecore