首页> 外文学位 >Structural distress condition modeling for sanitary sewers.
【24h】

Structural distress condition modeling for sanitary sewers.

机译:污水管道的结构遇险状况建模。

获取原文
获取原文并翻译 | 示例

摘要

Sewers represent a very substantial and crucial part of our underground infrastructure and a high level of investment is needed to maintain them. Sewers are generally out of sight and, as long as they continued to function reasonably well, they are also out of mind—that is, until any problems such as structural, hydraulic and functional arise. The criticality of any sewer condition is a combination of the risk of failure and the consequences of it. Therefore, a systematic approach is necessary to fully understand and evaluate the conditions of this underground infrastructure. The present state of the art does not allow the utility manager to determine which pipe distresses should be repaired immediately to stop further degradation, or which distresses are stable and could be left for a future repair.; The preliminary work in sewer prediction modeling reported in the author's Master's thesis (Kathula, 2000) has laid the groundwork for this research effort to develop a field-tested sewer-deterioration prediction model. In this research a detailed questionnaire was mailed to municipalities in the Gulf Coast region of the United States. The survey participants included municipal officials and experts from Alabama, Florida, Louisiana, Mississippi and Texas. These regional data were used to develop a regional sewer deterioration prediction model.; The sewer deterioration models were developed for the five common degradation states—cracks, open joints, displaced joints, corrosion and deformation for both clay and concrete sewers. This study used the basic principles of probability-based Markovian Chain methods to develop a distress transition matrix for sewer pipes based on the experience of municipal managers and sewer experts. The predictive model developed in this research has the ability to predict the service and structural distresses of clay and concrete pipelines for any given number of years, based on any initial condition of the pipeline. An effective and proven predictive model will allow the utility manager to apply life-cycle-costing economics to the utility.; The sewer deterioration prediction models developed for clay and concrete sewer pipes were verified by using the field data collected from municipalities using a concept called “risk ratio.” The risk ratios were calculated for various distress conditions at different time periods for the developed predictive model based on the expert opinion and were compared against the risk ratios calculated for validation data.
机译:下水道是我们地下基础设施中非常重要的部分,维护它们需要大量投资。下水道通常不在视线范围内,只要它们继续保持合理的功能,就不会出现问题-也就是说,直到出现结构,水力和功能等任何问题。任何下水道状况的严重性都是失败风险及其后果的综合。因此,必须有系统的方法来充分了解和评估该地下基础设施的状况。现有技术不允许公用事业管理者确定应立即修复哪些管道故障,以阻止进一步的退化,或者哪些故障是稳定的,可以留待以后维修。作者的硕士论文(Kathula,2000年)报道了下水道预测建模的初步工作,为这项研究工作的基础奠定了基础,以开发经过现场测试的下水道恶化预测模型。在这项研究中,一份详细的调查表已邮寄给美国墨西哥湾沿岸地区的市政当局。调查参与者包括阿拉巴马州,佛罗里达州,路易斯安那州,密西西比州和德克萨斯州的市政官员和专家。这些区域数据用于建立区域下水道恶化预测模型。针对五个常见的退化状态开发了下水道恶化模型,包括裂缝,开缝,位移的接缝,粘土和混凝土下水道的腐蚀和变形。这项研究基于市政经理和下水道专家的经验,使用基于概率的马尔可夫链方法的基本原理来开发下水道的遇险转移矩阵。在这项研究中开发的预测模型能够根据管道的任何初始条件,预测给定年份的黏土和混凝土管道的服务和结构应力。一个有效且经过验证的预测模型将使公用事业管理者可以将生命周期成本经济学应用于公用事业。为粘土和混凝土下水道开发的下水道恶化预测模型通过使用从城市收集的实地数据并使用“风险比”概念进行了验证。基于专家的意见,针对已开发的预测模型在不同时间段内针对各种遇险情况计算了风险比率,并将其与为验证数据计算的风险比率进行了比较。

著录项

  • 作者

    Kathula, Vani Samyuktha.;

  • 作者单位

    Louisiana Tech University.;

  • 授予单位 Louisiana Tech University.;
  • 学科 Engineering Civil.; Engineering Sanitary and Municipal.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 293 p.
  • 总页数 293
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;建筑科学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号