Selection of optimal intensity measures for fragility assessment of circular tunnels in soft soil deposits

Huang, Zhong-Kai; Pitilakis, Kyriazis; Argyroudis, Sotirios; Tsinidis, Grigorios; Zhang, Dongmei

doi:10.1016/j.soildyn.2021.106724

Cited by 92 publications

(18 citation statements)

References 63 publications

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“…The intensity measures are required for the quantification of losses using fragility functions, while the efficiency, sufficiency and practicality of different intensity measures depends on the typology of the asset, the hazard and the analysis approach, e.g. see Padgett et al (2008), Huang et al (2021). The measure of performance is a measure of the availability, productivity, and quality the of infrastructure (Poulin and Kane, 2021), and is usually measured on a scale of 0 (not functional) to 100%…”

Section: Resilience Assessmentmentioning

confidence: 99%

Resilience metrics for transport networks: a review and practical examples for bridges

Argyroudis

2022

Proceedings of the Institution of Civil Engineers - Bridge Engi

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Climate change, diverse geohazards and structural deterioration pose major challenges in planning, maintenance and emergency response for transport infrastructure operators. Hence, to manage these risks and adapt to changing conditions, well-informed resilience assessment and decision-making tools are required. These tools are commonly associated with resilience metrics, which quantify the capacity of transport networks to withstand and absorb damage, recover after a disruption and adapt to future changes. Several resilience metrics have been proposed in the literature, however, there is lack of practical applications and worked examples. This paper attempts to fill this gap and provide engineers and novice researchers with a review of available metrics on the basis of the main properties of resilience, i.e. robustness, redundancy, resourcefulness and rapidity. The main steps of resilience assessment for transport infrastructure such as bridges are discussed and the use of fragility and restoration functions to assess the robustness and rapidity of recovery is demonstrated. Practical examples are provided using a bridge exposed to scour effects as a benchmark. Also, an illustrative example of a systems of assets is provided and different aspects of resilience-based decision making are discussed, aiming to provide a comprehensive, yet straightforward, understanding of resilience.

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Section: Resilience Assessmentmentioning

confidence: 99%

Resilience metrics for transport networks: a review and practical examples for bridges

Argyroudis

2022

Proceedings of the Institution of Civil Engineers - Bridge Engi

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“…The HSsmall model includes not only the stress dependency but also the strain dependency of the soil stiffness. The undrained condition was assumed for the analyses [28,29]. The retaining wall is linear elastic.…”

Section: Generation Of Databasementioning

confidence: 99%

Application of ANN in Predicting the Cantilever Wall Deflection in Undrained Clay

Huang

Zhang

2021

Applied Sciences

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The main objective of this study is to propose an artificial neural network (ANN)-based tool for predicting the cantilever wall deflection in undrained clay. The excavation width, the excavation depth, the wall thickness, the at-rest lateral earth pressure coefficient, the soil shear strength ratio at mid-depth of the wall, and the soil stiffness ratio at mid-depth of the wall were selected as the input parameters, whereas the cantilever wall deflection was selected as an output parameter. A set of verified numerical data were utilized to train, test, and validate the ANN models. Two commonly used performance indicators, namely, root mean square error (RMSE) and mean absolute error (MAE), were selected to evaluate the performance of the proposed model. The results indicated that the proposed model can reliably predict the cantilever wall deflection in undrained clay. Moreover, the sensitivity analysis showed that the excavation depth is the most important parameter. Finally, a graphical user interface (GUI) tool was developed based on the proposed ANN model, which is much easier and less expensive to be used in practice. The results of this study can help engineers to better understand and predict the cantilever wall deflection in undrained clay.

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“…Ramaneharla and Meguro [16] used the Applied Element Method and finite element calculation method to simulate and analyze the response of the overlying soil under the action of a tilt-slip fault and found that the greater the amount of bedrock movement, the greater the surface movement produced, and the more developed the soil fractures in high-stress areas. Huang et al [17][18][19]] make a two-dimensional time-history analysis of the selected soiltunnel shape through numerical parameter studies and determined the optimal intensity measure in the probabilistic seismic demand model of circular tunnel in soft soil.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Tunnel Lining Failure Mechanism under the Action of Active Fault

Zhang

Dong

et al. 2021

Shock and Vibration

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The underground structure that crosses the active fault will cause more serious damage under the dislocation of the active fault. Relying on an actual tunnel in the southwest mountainous area to establish a three-dimensional finite element model, the failure mechanism of the tunnel under strike-slip and thrust fault dislocation is revealed from the lining deformation, stress distribution, and plastic zone distribution, and the results show that the damage range of the lining distributes in the area of the fracture and the damage effect is greatly affected by the movement amount of the active fault. The lining damage under the active fault dislocation is mainly tensile damage, while the lining under the thrust fault dislocation shows compression damage on both sides of the fracture when there is a fracture with a large dip angle. The development range of plastic zone is positively correlated with the dip angle of the fracture and the amount of movement, and the development range is negatively correlated with the dip angle of the fracture and positively correlated with the amount of dislocation. The plastic zone range can be predicted, and the key monitoring range can be set according to the movement form of the active fault, the dip angle of the fracture zone, and the amount of fault movement.

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Selection of optimal intensity measures for fragility assessment of circular tunnels in soft soil deposits

Cited by 92 publications

References 63 publications

Resilience metrics for transport networks: a review and practical examples for bridges

Resilience metrics for transport networks: a review and practical examples for bridges

Application of ANN in Predicting the Cantilever Wall Deflection in Undrained Clay

Analysis of Tunnel Lining Failure Mechanism under the Action of Active Fault

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