Study on Three-Dimensional Dynamic Stability of Open-Pit High Slope under Blasting Vibration

Li, Xiaoshuang; Li, Qihang; Hu, Yunjin; Chen, Qiusong; Peng, Jun; Xie, Yulin; Wang, Jiawen

doi:10.2113/2022/6426550

Cited by 58 publications

(30 citation statements)

References 49 publications

(41 reference statements)

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“…The lithological composition of the soil layer in the field is complex and the soil layer changes significantly, being cultivated soil, silty clay, silt, fine sand, medium sand, and round gravel soil (Li et al, 2022). According to the stratum distribution characteristics of the site, the permeability of the stratum in the site also varies significantly.…”

Section: Project Overviewmentioning

confidence: 99%

BIM Digital Shadow Technology and Risk Assessment Method of the Deep Foundation Pit’s Behavior for Zibo Light Rail

Yuan

Yuan²,

Chen³

et al. 2022

Front. Earth Sci.

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With the shortage of land resources, there has been a trend toward increasingly deep foundation pit engineering in urban areas. It is extremely important to reflect on the behavior and safety of deep foundation pits and conduct risk assessments in time. A nonhomologous and multi-indicator deep foundation pit risk assessment model was studied for nine types of nonhomologous on-site data monitored in the deep foundation pit. Based on the BIM (Building Information Modeling) technology, a family of monitored points was created that reflects the information on site from a deep foundation pit. The data visualization module was redeveloped by using Visual Studio 2019 to map the on-site data monitored to the components in the BIM model, which can visualize the data monitored in the BIM model of deep foundation pits. On this basis, the assessment of the safety level of deep foundation pits was realized in combination with a risk assessment model. Through the instance of the deep foundation pit of Zibo light rail, the analysis shows that the new visualization and risk assessment method can help construction workers locate dangerous units and formulate corresponding prevention and control measures better and faster.

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Section: Project Overviewmentioning

confidence: 99%

BIM Digital Shadow Technology and Risk Assessment Method of the Deep Foundation Pit’s Behavior for Zibo Light Rail

Yuan

Yuan²,

Chen³

et al. 2022

Front. Earth Sci.

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“…e present numerical simulation [34,35] model generalizes the caves into circular soil caverns and funnelshaped soil caverns, without considering the effects of accumulation and filling during the simulation process. By analyzing the statistical analysis data of 16 karst collapse points (or funnels) developed in the study area, the size of the calculation model was defined as a 50 m × 20 m rectangle.…”

Section: Generalization and Establishment Of The Geological Modelmentioning

confidence: 99%

Genesis Analysis and Stability Evaluation of Karst Area in the Mudengdong Village Based on the Geological Investigation and Numerical Simulation Methods

Liu

et al. 2022

Shock and Vibration

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The large-scale mining of underground mineral resources will lead to the formation of mined-out areas, which will lead to a series of geological and environmental problems. By selecting the Mudengdong village as a case study, this paper uses geodetic satellite remote sensing technologies to perform qualitative analyses and summarize the geological engineering conditions of the factory. Afterwards, the predominant factors that affect the stability of foundation are determined based on the geological survey of karst in goaf structures. Finally, the finite element software ANSYS is used to comprehensively study the karst problem. The results indicate that (1) the karst development pattern in the study area is controlled by the Beiyin mountain fault, in which case the karst in the basin, in the foot slope, or in the pass section is more widespread than in the slope section. Moreover, the karst generally has a vertical form and is in the early karst stage of development; (2) surface rainwater infiltration, earthquakes, and load pressure are the three major factors that affect karst collapse in the study area; (3) by simulating the development of karst caves and the bearing capacity of the karst roof in the goaf structure under different conditions, it is recommended that only civil buildings with not more than three floors can be built in the village. Overburdened soil thicknesses between 6 and 10 m and civil buildings with heights less than 6 m are not suitable parameters for construction activities. If there are hidden soil holes under the overburden layer, dynamic consolidation needs to be applied in order to destroy the structure of the soil layer and to ensure the safety of personnel.

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“…ere are two ways to build the degradation path model. One is to obtain the degradation path model based on the failure mechanism of the product, that is, to obtain the model by the physical reaction process and the chemical reaction process that lead to the product failure [33,34]. Lu and Meeker [35] used the paired fatigue failure model to establish the degradation path model and predict the product life.…”

Section: Degradation Modelsmentioning

confidence: 99%

Reliability Analysis of Oil and Gas Pipelines Based on Step-Down-Stress Testing in Corrosive Environments

Huang

Zhang

et al. 2022

Mathematical Problems in Engineering

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Reliability analysis provides a basis for the anticorrosion design and maintenance strategy of pipelines. This paper introduces a calculation method for corroded pipeline life reliability by step-down-stress testing (SDST) and Weibull distribution. SDST is used to obtain the corrosion rate of N80 steel under the action of an H2S and CO2 environment at four different temperatures. The Arrhenius model is used to establish the conversion model of failure time and then obtain quasi-samples with parameters. The quasi-samples are used to estimate the parameters of the Weibull distribution, and finally, we can obtain the reliability function of the corroded pipeline. The life reliability curve shows that the pipeline life decreases with the increase of temperature, and when the operation temperature is 363 K, the average life is 10.09 years, which is far less than the designed life. The life reliability of the pipeline decreases with increasing time, when the service life of a pipe with 90% reliability is approximately 7.4 years, and with 50% reliability, it will increase to approximately 10.2 years. With increasing temperature, the average life of the pipeline declines, and at the same temperature, the higher the reliability is, the lower the average life of the pipeline, which provides a reference for the rational use and maintenance decisions of N80 steel pipes. The life reliability of a pipeline for which the operating time is shorter has a smaller temperature effect than that the operating time is longer. This proves that the effect of temperature on life reliability accumulates. This paper strives to provide a scientific basis for the safety management of oil and gas pipelines.

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Study on Three-Dimensional Dynamic Stability of Open-Pit High Slope under Blasting Vibration

Cited by 58 publications

References 49 publications

BIM Digital Shadow Technology and Risk Assessment Method of the Deep Foundation Pit’s Behavior for Zibo Light Rail

BIM Digital Shadow Technology and Risk Assessment Method of the Deep Foundation Pit’s Behavior for Zibo Light Rail

Genesis Analysis and Stability Evaluation of Karst Area in the Mudengdong Village Based on the Geological Investigation and Numerical Simulation Methods

Reliability Analysis of Oil and Gas Pipelines Based on Step-Down-Stress Testing in Corrosive Environments

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