Steady flow-induced instability of a partially embedded pipeline: Pipe–soil interaction mechanism

Gao, Fu‐Ping; Yan, Shunping; Yang, Bing; Luo, Chengcai

doi:10.1016/j.oceaneng.2010.09.006

Cited by 27 publications

(16 citation statements)

References 13 publications

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“…The impact of pipe roughness was investigated by Gao et al (2011). Initially a rough pipe has a smaller 1091 embedment than a similar smooth pipe, but the final maximum settlement in the breakout process is larger 1092 for the rough pipe case.…”

mentioning

confidence: 99%

Pipeline–Seabed Interaction

Fredsøe

2016

J. Waterway, Port, Coastal, Ocean Eng.

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mentioning

confidence: 99%

Pipeline–Seabed Interaction

Fredsøe

2016

J. Waterway, Port, Coastal, Ocean Eng.

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“…Based on results from their fiume tests. Gao et al [20,21] commented that the pipeline on-bottom stability under the action of combined wave and current is different from the cases of pure wave or pure current. However, the mechanism behind this difference is not the focus of this paper.…”

Section: Hydrodynamic Loadingmentioning

confidence: 99%

Application of Statistical Analysis Techniques to Pipeline On-Bottom Stability Analysis

Youssef

Cassidy

Tian

2013

Journal of Offshore Mechanics and Arctic Engineering

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Offshore pipelines are increasingly being employed to transport offshore hydrocarbons to onshore processing facilities. Pipelines laid directly on the seabed are subject to a considerable hydrodynamic loading from waves and currents and must be accurately designed for on-bottom stability. Confidence in the stability of pipelines requires appropriate models for their assessment and, in this paper, particular emphasis is placed on achieving an integrated and balanced approach in considering the nonlinearities and uncertainties in the pipe structure, the reaction of the restraining soil, and the hydrodynamic loading applied. A statistical approach is followed by developing a response surface model for the pipeline maximum horizontal displacement within a storm, while including variability in parameters. The Monte Carlo simulation method is used in combination with the developed response surface model to calculate the extreme response statistics. The benefit of this approach is demonstrated and also used to investigate the sensitivity of the on-bottom pipeiine simulation for a variety of model input parameters. These results provide guidance to engineers as to what uncertainties are worth reducing, if possible, before apipe is designed.

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“…However, they cannot effectively simulate inundation extent and depth (Sang and Yang 2017). The reasoning formula based on the theory of steady flow limit has been used in the design of drainage pipeline (Gao et al 2011). The formula cannot reflect the real physical process of rainwater drainage, particularly the processes of overflow and overload, so that it has a large calculation error.…”

Section: Introductionmentioning

confidence: 99%

Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm

Hou

2020

Geomatics, Natural Hazards and Risk

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This study presents a water accumulation diffusion algorithm to spatially simulate rainstorm-induced waterlogging for people's lives and property safety. Taking part of Jinfeng District in Yinchuan City, China, as a study area, a storm water management model (SWMM) model is constructed with the aid of geographic information system (GIS) and remote sensing (RS) technologies. GIS is used to divide subcatchments, generalize drainage system, set parameters, construct spatial geodatabase, and identify flood extents and depths. RS is used to obtain land-use/land-cover information. The water accumulation diffusion algorithm is then designed using the strategies of the dynamic interactions between pipes and surface and between central pixel and its neighbourhood pixels to transform water accumulation volume of sub-catchment into the submerged range and water accumulation depth. Positions, extents, depths, and volumes of water accumulation from pipe network and surface are simulated, respectively. The spatial simulation precisions of rainstorm waterlogging from the pipe network and surface are verified according to the measured and cyber rainstorm data, respectively. The results show that (1) the number of water accumulation nodes increases with the increase of rainfall intensity; (2) urban waterlogging is mainly distributed in the intersects of roads, low depressions and the aged drainage networks; and (3) spatial simulation of urban rainstorm waterlogging based on the GIS, RS, and SWMM techniques and the water accumulation diffusion algorithm is reliable. The results can provide decision-makings to predict rainstorm waterlogging, design drainage network, and construct a sponge city. ARTICLE HISTORY

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Steady flow-induced instability of a partially embedded pipeline: Pipe–soil interaction mechanism

Cited by 27 publications

References 13 publications

Pipeline–Seabed Interaction

Pipeline–Seabed Interaction

Application of Statistical Analysis Techniques to Pipeline On-Bottom Stability Analysis

Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm

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