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被动源面波勘探方法及其在城市地区的应用

发布时间:2024-02-04 17:00
  随着社会的发展,人类同自然界和谐共存意识和对地球浅地表(包括地面至地下几米、数十米或数百米)介质的关注不断提高。对于中国而言,目前加速发展的城市化也对城镇基础建设提出了严峻挑战。当前的城镇公共基础设施建设以建设三维地下空间综合体为基本目标,要求安全高效地利用地下空间,以支撑地下轨道交通、供油、供气、供水、供电、通讯等生命线工程。对浅地表介质的探测以获取其结构、构造及工程力学性质,是实现城镇地下空间开发的首要前提,可以为多尺度场地勘察和评估提供传统钻探和取样分析所无法企及的节能、高效及安全等优势。地震勘探是感知浅地表精细结构的重要地球物理方法之一。面波勘探作为地震勘探的一个重要分支,也越来越多地被应用于解决浅地表地球物理和地质实际问题。具体来说,面波勘探可以解决如下浅层地质问题。○1地层划分:通过对瑞雷波频散曲线进行定性及定量解释,得到各地层的厚度及弹性波的传播速度;○2地基加固处理效果评价:通过实测地基加固前后的波速差异得到处理后的地基较处理前的物理力学性质的改善程度;○3岩土的物理力学参数原位测试:通过对实测资料的反演解释,可以得到岩、土层的S波速度、P波速度及密度等参数;○4公路、...

【文章页数】:143 页

【学位级别】:博士

【文章目录】:
作者简介
中文摘要
Abstract
List of Abbreviation
Chapter 1 Introduction
    1.1 Passive Surface Wave Survey
    1.2 Thesis Objectives
    1.3 Thesis Structure
Chapter2 Multichannelanalysisofpassivesurfacewavesbasedoncross-correlations
    2.1 Introduction
    2.2 Method
    2.3 Synthetic Tests
    2.4 Applications to Field Data
        2.4.1 Han River levee experiment
        2.4.2 Nantong urban experiment
    2.5 Summary
Chapter 3 Imposing active sources during passive surface wave survey
    3.1 Introduction
    3.2 Passive Surface wave Methods
        3.2.1SPAC
        3.2.2MAPS
    3.3 MSW Measurements at Three Sites
        3.3.1 Site 1 with L-level passive surface wave
        3.3.2 Site 2 with M-level passive surface wave
        3.3.3 Site 3 with S-level passive surface wave
    3.4 Discussion
    3.5 Summary
Chapter 4 f k-based data selection in passive surface wave survey
    4.1 Introduction
    4.2 Passive Surface Wave Methods and “Crossed” Artifacts
        4.2.1 Passive Surface WaveData Processing
        4.2.2 FK Method
        4.2.3 ReMi Method
        4.2.4 Roadside Passive MASW Method
        4.2.5 Multichannel Analysis of Passive Surface waves — the MAPS Method
    4.3 FK-Based Passive Surface Wave Selection
    4.4 Numerical Test
    4.5 Applications to Field Data
        4.5.1 Changsha Experiment
        4.5.2 Yueyang Experiment
    4.6 Discussion
    4.7 Summary
Chapter 5 τp-based data selection in passive surface wave survey
    5.1 Introduction
    5.2 Methodology
    5.3 Numerical modeling
    5.4 Application to Field Data
    5.5 Discussion
    5.6 Summary
Chapter 6 Conclusions and Future Directions
    6.1 Conclusions
    6.2 Future Directions
References
Acknowledgements



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