利用2011年克赖斯特彻奇地震的数据开发基于LSN的管道修复率模型

J. Moratalla, V. Sadashiva
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引用次数: 0

摘要

坎特伯雷地震序列(CES)对建筑、经济和社会环境产生了不利影响。这包括克赖斯特彻奇供水管网的大面积物理损坏,导致长期服务中断。CES地震产生的瞬态和永久性地面变形造成了一系列管道损坏,特别是在2011年2月22日的MW 6.2和2011年6月13日的MW 6.0事件中。在这两起事件中,管道的损坏主要归因于液化和横向扩展效应。与非韧性材料(如AC、CI)制成的管道相比,韧性材料制成的管道(如PVC、HDPE)受到的损坏较小(因此修复率较低)。在所有情况下,修复率(每公里修复次数)通常随着液化严重程度的增加而增加。利用CES事件后广泛的岩土工程调查产生的管道修复数据集和液化严重程度(LSN)图,推导出了受液化影响的水管的新修复率预测模型,并在本文中提出。对两次地震的修复数据进行了独立和组合分析,提供了两组修复率函数和不同程度的不确定性。修复率函数首先从按直径(即,ξ<75 mm或ξ≥75 mm)和材料类型(即,韧性或非韧性)组合的管道中得出。然后,通过添加具有足够样本长度的材料类型和直径的校正因子来细化模型。导出了直径≥75 mm的AC、CI、PVC管道以及直径<75 mm的MDPE和HDPE80管道的校正系数。镀锌铁(GI)管道在地震期间表现不佳,与网络中受损的直径<75 mm的其他非延性管道相比,导致修复率非常高;这就保证了为这种管道类型开发一个单独的维修率模型。所提出的模型可用于供水管网的风险评估;即根据未来地震的潜在液化损伤来估计管道修复的次数。
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Development of LSN-based pipe repair rate models utilising data from the 2011 Christchurch earthquakes
The Canterbury Earthquake Sequence (CES) adversely impacted built, economic and social environments. This included widespread physical damage to the water supply pipe network in Christchurch, resulting in long service disruptions. The transient and permanent ground deformations generated by the earthquakes in the CES caused a range of pipe damage, particularly in the MW 6.2 22 February 2011 and the relatively less damaging MW 6.0 13 June 2011 event. Damage to the pipes in both events was largely attributed to liquefaction and lateral spreading effects. Pipes made of ductile material (e.g. PVC, HDPE) sustained lesser damage (and therefore lower repair rates) compared to the pipes made of non-ductile material (e.g. AC, CI). In all cases, the repair rates (number of repairs per kilometre) typically increased with increasing liquefaction severity. Utilising the pipe repair dataset and Liquefaction Severity Number (LSN) maps generated from extensive geotechnical investigation following the CES events, new repair rate prediction models for water pipes subjected to liquefaction effects have been derived and are presented in this paper. Repair data from both earthquakes has been analysed independently and in combination, providing two sets of repair rate functions and different levels of uncertainty. Repair rate functions were first derived from pipes grouped by combination of diameter (i.e. ϕ < 75 mm or ϕ ≥ 75 mm) and material type (i.e. ductile or non-ductile). The models were then refined by adding correction factors for those material types and diameters with sufficient sample length. Correction factors were derived for AC, CI, PVC pipes of diameter ≥75 mm and for MDPE and HDPE80 pipes of diameter <75 mm. Galvanised Iron (GI) pipes performed poorly during the earthquakes, resulting in very high repair rates compared to the other non-ductile pipes of diameter <75 mm damaged in the network; this warranted a separate repair rate model to be developed for this pipe type. The proposed models can be used in risk assessment of water pipe networks; i.e. to estimate the number of pipe repairs from potential liquefaction damage from future earthquakes.
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