Geomechanical data are never sufficient in quantity or adequately precise and accurate for design purposes in mining and civil engineering.The objective of this paper is to show the variability of rock properties at t...Geomechanical data are never sufficient in quantity or adequately precise and accurate for design purposes in mining and civil engineering.The objective of this paper is to show the variability of rock properties at the sampled point in the roadway's roof,and then,how the statistical processing of the available geomechanical data can affect the results of numerical modelling of the roadway's stability.Four cases were applied in the numerical analysis,using average values(the most common in geomechanical data analysis),average minus standard deviation,median,and average value minus statistical error.The study show that different approach to the same geomechanical data set can change the modelling results considerably.The case shows that average minus standard deviation is the most conservative and least risky.It gives the displacements and yielded elements zone in four times broader range comparing to the average values scenario,which is the least conservative option.The two other cases need to be studied further.The results obtained from them are placed between most favorable and most adverse values.Taking the average values corrected by statistical error for the numerical analysis seems to be the best solution.Moreover,the confidence level can be adjusted depending on the object importance and the assumed risk level.展开更多
The Crossrail project currently under construction in Central London has been described as ＂The Big Digon Steroids＂, obviously referencing the Central Artery/Tunnel project in Boston completed in 2007. Toaddress the...The Crossrail project currently under construction in Central London has been described as ＂The Big Digon Steroids＂, obviously referencing the Central Artery/Tunnel project in Boston completed in 2007. Toaddress the multiple demands for timely construction performance monitoring, Crossrail envisioned theunderground construction information management system （UCIMS） to monitor construction progressand structural health along the entire route, with a network of geotechnical instruments （i.e. slope inclinometers,extensometers, piezometers, etc.） and tunnel boring machine （TBM） position information.The UCIMS is a geospatially referenced relational database that was developed using an open sourcegeographic information system （GIS） that allowed all stakeholders near immediate feedback of constructionperformance. The purpose of this article is to provide a brief history of geotechnical andstructural monitoring software, to describe the structure and operation of the UCIMS, and to demonstratehow the functionality afforded by this system provided the requisite feedback to the stakeholders.Examples will be given regarding how the data management and visualization concepts incorporatedinto the UCIMS advanced the geotechnical construction industry. 2015 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting byElsevier B.V. All rights reserved.展开更多
In Brazil and various regions globally, the initiation of landslides is frequently associated with rainfall;yet the spatial arrangement of geological structures and stratification considerably influences landslide occ...In Brazil and various regions globally, the initiation of landslides is frequently associated with rainfall;yet the spatial arrangement of geological structures and stratification considerably influences landslide occurrences. The multifaceted nature of these influences makes the surveillance of mass movements a highly intricate task, requiring an understanding of numerous interdependent variables. Recent years have seen an emergence in scholarly research aimed at integrating geophysical and geotechnical methodologies. The conjoint examination of geophysical and geotechnical data offers an enhanced perspective into subsurface structures. Within this work, a methodology is proposed for the synchronous analysis of electrical resistivity geophysical data and geotechnical data, specifically those extracted from the Light Dynamic Penetrometer (DPL) and Standard Penetration Test (SPT). This study involved a linear fitting process to correlate resistivity with N10/SPT N-values from DPL/SPT soundings, culminating in a 2D profile of N10/SPT N-values predicated on electrical profiles. The findings of this research furnish invaluable insights into slope stability by allowing for a two-dimensional representation of penetration resistance properties. Through the synthesis of geophysical and geotechnical data, this project aims to augment the comprehension of subsurface conditions, with potential implications for refining landslide risk evaluations. This endeavor offers insight into the formulation of more effective and precise slope management protocols and disaster prevention strategies.展开更多
文摘Geomechanical data are never sufficient in quantity or adequately precise and accurate for design purposes in mining and civil engineering.The objective of this paper is to show the variability of rock properties at the sampled point in the roadway's roof,and then,how the statistical processing of the available geomechanical data can affect the results of numerical modelling of the roadway's stability.Four cases were applied in the numerical analysis,using average values(the most common in geomechanical data analysis),average minus standard deviation,median,and average value minus statistical error.The study show that different approach to the same geomechanical data set can change the modelling results considerably.The case shows that average minus standard deviation is the most conservative and least risky.It gives the displacements and yielded elements zone in four times broader range comparing to the average values scenario,which is the least conservative option.The two other cases need to be studied further.The results obtained from them are placed between most favorable and most adverse values.Taking the average values corrected by statistical error for the numerical analysis seems to be the best solution.Moreover,the confidence level can be adjusted depending on the object importance and the assumed risk level.
文摘The Crossrail project currently under construction in Central London has been described as ＂The Big Digon Steroids＂, obviously referencing the Central Artery/Tunnel project in Boston completed in 2007. Toaddress the multiple demands for timely construction performance monitoring, Crossrail envisioned theunderground construction information management system （UCIMS） to monitor construction progressand structural health along the entire route, with a network of geotechnical instruments （i.e. slope inclinometers,extensometers, piezometers, etc.） and tunnel boring machine （TBM） position information.The UCIMS is a geospatially referenced relational database that was developed using an open sourcegeographic information system （GIS） that allowed all stakeholders near immediate feedback of constructionperformance. The purpose of this article is to provide a brief history of geotechnical andstructural monitoring software, to describe the structure and operation of the UCIMS, and to demonstratehow the functionality afforded by this system provided the requisite feedback to the stakeholders.Examples will be given regarding how the data management and visualization concepts incorporatedinto the UCIMS advanced the geotechnical construction industry. 2015 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting byElsevier B.V. All rights reserved.
文摘In Brazil and various regions globally, the initiation of landslides is frequently associated with rainfall;yet the spatial arrangement of geological structures and stratification considerably influences landslide occurrences. The multifaceted nature of these influences makes the surveillance of mass movements a highly intricate task, requiring an understanding of numerous interdependent variables. Recent years have seen an emergence in scholarly research aimed at integrating geophysical and geotechnical methodologies. The conjoint examination of geophysical and geotechnical data offers an enhanced perspective into subsurface structures. Within this work, a methodology is proposed for the synchronous analysis of electrical resistivity geophysical data and geotechnical data, specifically those extracted from the Light Dynamic Penetrometer (DPL) and Standard Penetration Test (SPT). This study involved a linear fitting process to correlate resistivity with N10/SPT N-values from DPL/SPT soundings, culminating in a 2D profile of N10/SPT N-values predicated on electrical profiles. The findings of this research furnish invaluable insights into slope stability by allowing for a two-dimensional representation of penetration resistance properties. Through the synthesis of geophysical and geotechnical data, this project aims to augment the comprehension of subsurface conditions, with potential implications for refining landslide risk evaluations. This endeavor offers insight into the formulation of more effective and precise slope management protocols and disaster prevention strategies.
