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|Title:||MULTI-LEVEL RISK MANAGEMENT OF BUILDING SETTLEMENT INDUCED BY TUNNELLING IN SOFT CLAY|
|Keywords:||multi-level risk management (RM) framework;soft clay;tunnelling-induced settlement;probabilistic risk assessment (PRA);Rt risk tool|
|Abstract:||Tunnelling in urban areas is one of the most challenging engineering activities, as it has relatively high “risk” due to various uncertainties and the intensity of the possible consequences. Numerous studies have been conducted to address the tunnelling risk, by mainly focusing on the “identification” of the causes and how to control or mitigate the risks. However, limited work has been done on how to quantify the risk by considering the multi-level uncertainties encountered in different phases of the project. The primary objective of this work is to develop a multi-scale risk management (RM) framework to address and quantify the risk of ground surface settlement, induced by tunnelling, in soft clay in urbanized areas. The specific focus is placed on quantifying the risk of tunnel-induced settlement for existing buildings, by taking into account multiple uncertainty levels (e.g. uncertainties of parameters, uncertainties of models, etc.). The framework addresses the tunnel-induced settlement risk, both during the construction of the tunnel as well as after its completion, for buildings with shallow and deep foundations. It offers different classes of assessment to quantify the risk, according to the structure’s current condition and the corresponding limit-state function, that is designated to each class. The RM framework is aligned with ISO 31000 risk management act, consisting of “risk identification”, “risk analysis” and “risk evaluation”. Risk identification includes studies on tunnelling technical reports, field observations, etc., in order to identify the causes of short-term and long-term tunnelling-induced settlement. The risk analysis involves a series of fault tree, event tree and consequence tree analyses to estimate the likelihood of the ground subsidence and subsequent events. For risk evaluation, different probabilistic methods (e.g. first-order reliability method, second-order reliability method and Monte Carlo sampling) are utilized to estimate the risk of surface buildings with shallow and deep foundations. The framework has been implemented in an example problem, to demonstrate the procedure and to address the main influential parameters in each class of assessment using the alpha importance measure. Rt risk tool has been utilized to perform reliability calculations and FORM has been used as the primary method due to its valuable balance between computational cost and accuracy. The outcomes of this RM framework are risk registers and colour-coded risk maps including the exceedance probability of a predefined settlement threshold for each building in the affected area. This framework receives technical data and provides risk-based information for higher-level managers and decision-makers to prioritize their actions and allocate their resources in the most effective way.|
|Appears in Collections:||Open Access Dissertations and Theses|
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|AKBARIAN_ROHAM_201912_MASc.pdf||11.21 MB||Adobe PDF||View/Open|
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