Seepage analysis of highway subgrade in Guizhou mountainous area based on numerical simulation

2021 ◽  
Author(s):  
Xu-zhi Liang ◽  
Yun-wei Meng ◽  
Guo-kai Gao ◽  
Wei-yong Gong ◽  
Guang-yan Qing
2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Fan Xuefeng ◽  
Zhenyu Wu ◽  
Liu Lijun ◽  
Yanfeng Wen ◽  
Shu Yu ◽  
...  

For sluices built on soil foundations, seepage safety of the foundation is one of the most concerns during operation of sluices. Monitoring data could reflect the real seepage behavior in the foundation, but of which the shortcoming is that generally only the local seepage states can be measured. The seepage field in the whole foundation can be analyzed by numerical simulation. The permeability coefficients of the foundation materials significantly affect the numerical simulation results; however, it is difficult to accurately determine the values of permeability coefficients. In this paper, an approach based on response surface method (RSM) for calibration of permeability coefficients was proposed, and the efficiency of parameter calibration is improved by constructing the response surface equation instead of time-consuming finite element calculation of foundation seepage. The seepage in a sluice foundation was analyzed using monitoring data and numerical simulation. The monitoring data showed that the seepage pressure in the foundation periodically varies with high value in flood season and low value in dry season. After calibration of the permeability coefficients of the foundation materials using the measured seepage pressure, the seepage fields in the foundation for different water levels were numerically simulated to investigate the cause for the periodical variation of the seepage pressure and the seepage safety of the foundation was assessed with the calculated seepage gradients. The methods adopted in this study could be applied to seepage analysis for sluice foundations with similar geologic conditions and antiseepage measures.


Author(s):  
Nobuaki Kimura ◽  
Akira Tai ◽  
Akihiro Hashimoto

Purpose Extreme weather events introduced by climate change have been frequent across the world for the past decade. For example, Takeda City, a mountainous area in the south-western Japan, experienced a severe river flood event caused by the factors of high flow, presence of bridges and driftwood accumulation in July 2012. This study aims to focus on this event (hereafter, Takeda flood) because the unique factors of driftwood and bridges were involved. In the Takeda flood, high flow, driftwood and bridge were the potential key factors that caused the flood. The authors studied to reveal the physical processes of the Takeda flood. Design/methodology/approach The authors conducted a fundamental laboratory experiment with a miniature bridge, open channel flow and idealized driftwood accumulation. They also performed a numerical simulation by using a smoothed particle hydrodynamics (SPH) method, which can treat fluid as particle elements. This model was chosen because the SPH method is capable of treating a complex flow such as a spray of water around a bridge. Findings The numerical simulation successfully reproduced the bridge- and driftwood-induced floods of the laboratory experiment. Then, the contribution of the studied key factors to the flood mechanism based on the fluid forces generated by high flow, bridge and driftwood (i.e. pressure distributions) was quantitatively assessed. The results showed that the driftwood accumulation and high flow conditions are potentially important factors that can cause a severe flood like the Takeda flood. Originality/value Simulated results with high flow conditions may be helpful to consider the countermeasure for future floods under climate change even though the test was simple and fundamental.


2020 ◽  
Vol 156 ◽  
pp. 01006
Author(s):  
Novy Haryati ◽  
Abdul Hakam

There are many landslide and damages have occurred at dams due to the seepage. In addition, dam works often took inattention of the underneath soil parameters. This careless works resulted in failure of the dam structure as well as landslides. Based on this reason, a good research to be applied to dams is needed. Further, the potential landslides can be avoided. In this study an analysis of seepage analysis at the bottom of the dam is carried out. The landslide analysis is done by varying the parameter to build up the seepage. The case studies analyzed is taken at the seepage that occurred in Sei Wampu Dam located in North Sumatra. Soil data are obtained from the field tests which have been carried out in the previous work. The numerical simulation using the finite element method is gained to conduct the analysis. During the analyses, the variation of parameters obtained from the seepage calculation was recorded. The obtained seepage parameters that affect the stability of dams are then elaborated. The study results can be used for the mitigation efforts at the dams that have the potential for landslides.


2016 ◽  
Vol 59 ◽  
pp. 510-520 ◽  
Author(s):  
Shu-cai Li ◽  
Hong-liang Liu ◽  
Li-ping Li ◽  
Qian-qing Zhang ◽  
Kai Wang ◽  
...  

2012 ◽  
Vol 204-208 ◽  
pp. 3369-3372
Author(s):  
Chun Guang Li ◽  
Zheng Qing Chen ◽  
Zhi Tian Zhang

With the increase of the span length of bridge, the wind field characteristics at bridge site play crucial role for the safety of bridge. The present paper discusses the results of a numerical simulation of the wind flow over mountainous area called Aizhai, located in Hunan province, where a super long span bridge with main span of 1176m will be constructed. The results indicate that it is inappropriate to describe the mean wind velocity profiles by power law using the same roughness exponent along the span wise direction in the mountainous valley terrain. The speed-up effect and the significant change in wind direction of the mean flow were observed, which provide the information necessary for determining the design wind speed such as for a long span bridge across the valley.


2009 ◽  
Vol 00 (00) ◽  
pp. 090904073309027-8
Author(s):  
H.W. Wang ◽  
S. Kyriacos ◽  
L. Cartilier

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