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首页> 外文期刊>Journal of The Institution of Engineers (India) >Condition Assessment Model for Underground Water Mains Performance
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Condition Assessment Model for Underground Water Mains Performance

机译:地下水管性能状况评估模型

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摘要

One of the greatest challenges facing by municipal engineers all over the world is condition assessment of underground water mains performance. As water mains are buried infrastructure, operated under pressure and most important it is inaccessible. In this situation, condition assessment of water mains is challenging as well as become mandatory to employ management strategies for these assets. This work presents the result of condition assessment of water mains performance by analytical hierarchy process modeling. The model was developed for data collected (2006-2011) from south-west zone of Surat city, India. The physical, operational and environmental main factors and 10 sub factors were selected to assess performance of water mains. The pair wise comparison matrices have been generated to make relative weights of each factor and their sub-factors. It represents relative importance of these factors among other factors. The pipe age is found highest relative contributing factor and pipe thickness is least relative contributing factor. The developed model generate results in terms of pipes condition on numeric scale, which is compared with linguistic scale and pipe condition is found like very risky, risky, adequate, good or excellent. The developed model is validated, which shows robust results of 86.4 %, the average validity percentage. Hence, the model is expected to benefit practitioners to prioritize rehabilitation or replacement planning for water mains.
机译:全世界市政工程师面临的最大挑战之一是对地下水干线性能的状态评估。由于水管是埋在地下的基础设施,需要在压力下运行,最重要的是无法接近。在这种情况下,给水总管的状况评估具有挑战性,并且必须对这些资产采用管理策略。这项工作提出了通过分析层次过程建模对水管性能进行状态评估的结果。该模型是为从印度苏拉特市西南地区收集的数据(2006-2011年)开发的。选择了物理,操作和环境主要因素以及10个子因素来评估自来水管道的性能。已经生成了成对比较矩阵以使每个因子及其子因子具有相对权重。它代表了这些因素与其他因素之间的相对重要性。发现管道寿命是最大的相对影响因素,而管道厚度是最小的相对影响因素。所开发的模型会根据管道状况的数值范围生成结果,并将其与语言规模进行比较,结果发现管道状况非常危险,危险,适当,良好或优秀。验证了开发的模型,该模型显示了86.4%(平均有效百分比)的稳健结果。因此,该模型有望使从业人员受益,从而优先考虑自来水管道的修复或更换计划。

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