Proactive Seismic Rehabilitation Decision-Making for Water Pipe Networks Considering Earthquake-Induced Transient Strains and Geotechnical Instability
Proactive Seismic Rehabilitation Decision-Making for Water Pipe Networks Considering Earthquake-Induced Transient Strains and Geotechnical Instability
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考虑地震引起的瞬态应变和岩土不稳定的水管网主动抗震修复决策
DOI：
10.1061/9780784485163.112
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Shahandashti, Mohsen
中科院分区：
文献类型：
--
作者：
Roy, Abhijit;Bhatta, Sushil;Shahandashti, Mohsen
地震事件发生后，任何类型的破裂或任何大量的泄漏都可能降低供水网络的可用性。主动的地震恢复决策对于减少地震事件后供水管网的损失和提高供水管网的可用性至关重要。虽然水管容易受到永久性地面变形（PGD），由于地震引起的岩土不稳定（滑坡和液化危害）在敏感区，由于地震引起的瞬态应变和岩土不稳定（滑坡和液化）的组合的损害没有被认为是在网络级在现有的积极主动的地震恢复决策模型的水管网络。本研究提出了一种随机组合优化算法，以确定最关键的水管网络容易受到地震事件的PGD（由于滑坡和液化的损害在敏感区），PGV（峰值地面速度），PGA（峰值地面加速度）（由于引起的瞬态应变的损害）的组合。一旦地震特征（例如， 震级，震中）进行了识别，使用解聚分析，PGA和PGV计算在每个管道的位置，使用地面运动预测方程（GMPE）。PGA和PGV的值被用来研究滑坡和液化灾害，提供了一个混合动力学-力学为基础的PGD估计。滑坡和液化灾害均采用三阶段岩土工程方法，分别代表（1）敏感性分析，（2）触发分析，（3）PGD估计。采用模拟退火优化算法求解随机优化问题。以Modena网络为测试网络，对该方法的应用进行了研究。该方法通过与现有方法的PGD值被假定为零的结果进行比较来验证。比较研究结果表明，滑坡和液化危险的列入显着影响确定的水管的关键管道。此外，如果考虑滑坡和液化危害，则选定修复预算的最大可实现适用性指数会显著降低。所提出的方法是一种新的方法，认为地震引起的岩土不稳定性和损害相结合，由于地震引起的瞬态应变网络级主动地震恢复决策。
Any type of break or any significant amount of leak after seismic events can reduce the serviceability of a water network. Proactive seismic rehabilitation decision-making is essential to reduce the losses and increase the serviceability of a water pipe network after a seismic event. Although water pipelines are vulnerable to permanent ground deformation (PGD) due to earthquake-induced geotechnical instability (landslide and liquefaction hazards) in susceptible zones, a combination of damage due to earthquake-induced transient strains and geotechnical instability (landslide and liquefaction) has not been considered at network level in existing proactive seismic rehabilitation decision-making models of water pipe networks. This research presents a stochastic combinatorial optimization algorithm to determine the most critical pipes of a water pipe network vulnerable to seismic events considering a combination of PGD (damages due to landslide and liquefaction in susceptible zones), PGV (peak ground velocity), and PGA (peak ground acceleration) (damages due to induced transient strains) for a certain budget constraint. Once the earthquake characteristics (e.g., magnitude, epicenter) were identified using deaggregation analysis, PGA and PGV were calculated at the location of each pipe using the ground motion prediction equation (GMPE). The value of PGA and PGV was used to study landslide and liquefaction hazards providing a hybrid empirical-mechanical-based estimation of PGD. A three-phase geotechnical approach was used both for landslide and liquefaction hazards, representing (1) susceptibility analysis, (2) triggering analysis, and (3) estimation of PGD. The stochastic optimization problem was solved using a simulated annealing-based optimization algorithm. Modena network, a benchmark network, was assumed as the test network for the application of the methodology. The approach was verified by comparing the results with an existing method where the value of PGD was assumed to be zero. The comparative study results showed that the inclusion of landslide and liquefaction hazards significantly affects the identified critical pipes of the water pipelines. Also, the maximum achievable serviceability index for the selected rehabilitation budget was reduced significantly if landslide and liquefaction hazards were considered. The proposed methodology is a novel approach that considers a combination of earthquake-induced geotechnical instability and damages due to earthquake-induced transient strain for network-level proactive seismic rehabilitation decision-making.
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DOI：
10.1061/9780784484302.010
发表时间：
2022
期刊：
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影响因子：
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