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Data discovery on liquefaction-induced lateral ground deformations.

机译:液化引起的地面横向变形的数据发现。

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摘要

Liquefaction-induced deformations during earthquake pose considerable risks to lifeline systems in urban areas. Empirical models, benefiting from case histories, are preferable for regionally assessing those deformations. Case histories of liquefaction grow rapidly and require new information technologies in data management. Based on pure regression analysis, those existing empirical models explain little physical mechanism. The objectives of this research are to improve data management of liquefaction-related case histories, and to develop the new generation of models that corroborate physical mechanism of liquefaction-induced lateral ground deformations. This goal is approached in four major steps.;The first step provides guidelines on gathering perishable information and automating Web reports of Post-Earthquake Reconnaissance (PER). Embedded metadata formats are applied to an example of the 2008 Wenchuan, China earthquake when documenting PER data. This application identifies the potential of inline metadata formats in establishing the Virtual Earthquake, a global-wide information system for archiving and sharing PER data in a spatial context.;The second step presents a new information system useful for distributing case histories of liquefaction-induced ground deformations over the Word Wide Web. Benefiting from AJAX (Asynchronous JavaScript and XML), and database technologies, this system is an interactive and lightweight application supported by external data from multiple data vendors.;The third step scrutinizes existing empirical models using a subset of case histories that are gathered and managed in the previous steps. This case study develops maps of liquefaction severity and liquefaction-induced lateral deformations from those existing models. The disagreement between the simulation results and the field observations infers a knowledge insufficiency in the regional evaluation of liquefaction-induced lateral ground deformations and therefore raises a demand for the next generation of models.;The fourth step is towards a new model that corroborates physical mechanism of liquefaction-induced deformations. Using a physical model and probabilistic analysis, PGV (Peak Ground Velocity) is demonstrated to be a significant parameter that characterizes earthquake contributions to the motions of mass that temporarily loses shear strength due to liquefaction. A PGV-dependent model is derived based on case histories to account for the importance of PGV for liquefaction-induced lateral ground deformations.
机译:地震期间由液化引起的变形对城市地区的生命线系统构成了相当大的风险。从案例历史中受益的经验模型对于区域评估那些变形是可取的。液化的案例历史发展迅速,在数据管理中需要新的信息技术。基于纯回归分析,这些现有的经验模型几乎没有解释物理机制。这项研究的目的是改善与液化有关的案例历史的数据管理,并开发新一代模型,以证实液化引起的侧向地面变形的物理机制。该目标通过四个主要步骤来实现:第一步提供了有关收集易腐信息和自动执行地震后侦察(PER)的Web报告的指南。在记录PER数据时,将嵌入式元数据格式应用于2008年中国汶川地震的示例。该应用程序确定了内联元数据格式在建立虚拟地震中的潜力,该虚拟地震是一个用于在空间范围内归档和共享PER数据的全球信息系统。第二步提供了一个新的信息系统,可用于分发液化诱发的案例Word万维网上的地面变形。得益于AJAX(异步JavaScript和XML)和数据库技术,该系统是一个交互式的轻量级应用程序,受到来自多个数据供应商的外部数据的支持。第三步使用收集和管理的案例历史子集来审查现有的经验模型。在前面的步骤中。该案例研究根据现有模型开发了液化强度和液化引起的横向变形的地图。模拟结果与现场观测结果之间的分歧导致了液化引起的侧向地面变形区域评估的知识不足,因此对下一代模型提出了要求。第四步是建立一种新的模型,以证实其物理机制液化引起的变形使用物理模型和概率分析,PGV(峰值地面速度)被证明是一个重要参数,它表征了地震对由于液化而暂时失去剪切强度的质量运动的贡献。 PGV依赖的模型是基于案例历史导出的,以说明PGV在液化引起的侧向地面变形中的重要性。

著录项

  • 作者

    Liu, Fang.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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