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A generic framework for geotechnical subsurface modeling with machine learning

Journal of Rock Mechanics and Geotechnical Engineering 2022年第5期14卷 1366-1379页

作者： Jiawei Xie Jinsong Huang Cheng Zeng Shan Huang Glen J.Burton Discipline of Civil Surveying and Environmental EngineeringPriority Research Centre for Geotechnical Science and EngineeringThe University of NewcastleCallaghanNSW2308Australia ATC Williams pty.ltd. SingletonNSW2330Australia

This study introduces a generic framework for geotechnical subsurface modeling, which accounts for spatial autocorrelation with local mapping machine learning(ML) methods. Instead of using XY coordinate fields directly as model input, a series of autocorrelated geotechnical distance fields(GDFs) is designed to enable the ML models to infer the spatial relationship between the sampled locations and unknown locations. The whole framework using GDF with ML methods is named GDF-ML. This framework is purely data-driven which avoids the tedious work in the scale of fluctuations(SOFs)estimating and data detrending in the conventional spatial interpolation methods. Six local mapping ML methods(extra trees(ETs), gradient boosting(GB), extreme gradient boosting(XGBoost), random forest(RF), general regression neural network(GRNN) and k-nearest neighbors(KNN)) are compared in the GDF-ML framework. The results show that the GDFs are better than the conventional XY coordinate fields based ML methods in both accuracy and spatial continuity. GDF-ML is flexible which can be applied to high-dimensional, multi-variable and incomplete datasets. Among these six methods, GDF with ET method(GDF-ET) clearly shows the best accuracy and best spatial continuity. The proposed GDF-ET method can provide a fast and accurate interpretation of the soil property profile. Sensitivity analysis shows that this method is applicable to very small training dataset size. The associated statistical uncertainty can also be quantified so that the reliability of the subsurface modeling results can be estimated objectively and explicitly. The uncertainty results clearly show that the prediction becomes more accurate when more sampled data are available.

关键词： Site investigation Machine learning(ML) Spatial interpolation Geotechnical distance fields(GDFs) Tree-based models

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Rock Mechanics Based on an Anisotropic Jointed Rock Model

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Journal of Rock Mechanics and Geotechnical Engineering 2015年第5期7卷 607-608页

作者： E.T.Brown golder associates pty ltd

(AJRM),Walter Wittke.Ernst & Sohn:A Wiley Brand(2014).ISBN:978-3-433-03079-0(Hbk),978-3-433-60431-1(ePDF)For several decades,the author of this impressive book,Professor Dr.-Ing.Walter Wittke,has been a leading figure in rock mechanics and rock engineering,both in his native Germany and internationally.He served as the 5th President of the International

关键词： rock Rock Mechanics Based on an Anisotropic Jointed Rock Model FEM than

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Rock Engineering Risk

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Journal of Rock Mechanics and Geotechnical Engineering 2015年第4期7卷 479-480页

作者： John A.Hudson Xia-Ting Feng E.T.Brown golder associates pty ltd

The invaluable book reports the outcome of the work of the Commission on Design Methodology of the International Society for Rock Mechanics （ISRM） in the ISRM＇s 2011-2015 term of office during which Professor John Hudson acted as Commission Presi- dent while Professor Xia-Ting Feng served as ISRM President. It pro- vides a sequel to the authors＇ previous book, Rock Engineering Design （Feng and Hudson, 2011）, which reported the work of the Commission in the ISRM＇s 2007-2011 term of office when Profes- sor Feng acted as Commission President and Professor Hudson served as ISRM President. It is also the first volume in the newly established ISRM Book Series published by CRC Press/Balkema of the Taylor ＆ Francis Group, an initiative taken during Professor Feng＇s recent term of office as ISRM President.

关键词： rock Rock Engineering Risk

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Visualizing traumatic brain injury:ocular clues for diagnosis and assessment

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Neural Regeneration Research 2025年第5期20卷 1399-1400页

作者： Morteza Abyadeh Vivek Gupta Yuyi You Joao A.Paulo Mehdi Mirzaei ProGene Technologies pty ltd SydneyNSWAustralia Department of Clinical Medicine Faculty of MedicineHealth and Human SciencesMacquarie Medical SchoolMacquarie UniversityMacquarie ParkNorth RydeSydneyNSWAustralia Department of Cell Biology Harvard Medical SchoolBostonMAUSA

Traumatic brain injury (TBI) is defined as damage to the brain resulting from an external sudden physical force or shock to the head.It is considered a silent public health epidemic causing significant death and disability globally.There were 64,000 TBI related deaths reported in the USA in 2020,with about US$76 billion in direct and indirect medical costs annually.

关键词： diagnosis ocular injury

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Editorial

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Journal of Rock Mechanics and Geotechnical Engineering 2015年第4期7卷 359-360页

作者： E.T.Brown golder associates pty. ltd.

The writer is pleased to have been given this opportunity to offer an Editorial to Issue 4, Volume 7, 2015, of our journal, for the first time. The major focus of this Editorial is on the paper, ＂A theoretical derivation of the Hoek-Brown failure criterion for rock materials＂ by Jianping Zuo, Huihai Liu and Hongtao Li, pub- lished in this Issue. In the following, this paper will be referred to as Zuo et al. （2015）. Using this paper as a vehicle, some comments will be offered on this journal＇s important peer review system.

关键词： rock Editorial

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基于CT图像三维重建的高温下再生混凝土孔隙特征研究

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材料导报 2024年第5期38卷 214-224页

作者：都思哲张淼张玉 Selyutina Nina Smirnov Ivan 马树娟董晓强刘元珍太原理工大学土木工程学院太原030024 Coronation Property Co.pty.ltd.MN Builders 新南威尔士州2620 圣彼得堡国立大学圣彼得堡190000

高温会导致混凝土微细观结构损伤劣化,进而导致混凝土力学性能下降。本工作利用计算机层析成像(CT)技术对高温后掺加玻化微珠的再生混凝土(Recycled aggregate concrete mixed with glazed hollow beads, GHB-RAC)试件孔隙结构特征进行... 详细信息

高温会导致混凝土微细观结构损伤劣化,进而导致混凝土力学性能下降。本工作利用计算机层析成像(CT)技术对高温后掺加玻化微珠的再生混凝土(Recycled aggregate concrete mixed with glazed hollow beads, GHB-RAC)试件孔隙结构特征进行识别,基于CT扫描与三维重构建模提取并分析了混凝土孔隙结构的特征参数,同时利用灰色关联理论探究孔隙结构特征参数对混凝土残余抗压强度的影响程度。研究结果表明,温度会影响GHB-RAC内部孔隙结构,内部孔隙孔径及表面积随温度升高而增大,温度的升高也会影响混凝土孔隙均匀性,加剧孔隙不均匀性分布;玻化微珠(Glazed hollow beads, GHB)对混凝土温度传导的阻碍作用明显,GHB的掺入改善了混凝土的孔隙结构,减弱了高温导致的孔隙畸化;孔隙尺寸、孔隙球体度及孔隙表面积与残余抗压强度的灰色关联度均在0.55以上,表明孔隙结构参数与残余抗压强度关联性较好。

关键词： CT扫描再生混凝土孔隙结构抗压强度灰色关联度

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Editorial

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Journal of Rock Mechanics and Geotechnical Engineering 2017年第2期9卷 195-196页

作者： E.T. Brown golder associates pty. ltd. P.O. Box 1734 Milton QLD 4064 Australia

The Aims and Scope of the Journal of Rock Mechanics and Geotechnical Engineering(JRMGE)indicate that it"is concerned with the latest research achievements in rock mechanics and geotechnical engineering The topics covered by the JRMGE include new theories,new technologies,new methods and experiences,in-situ and laboratory tests,new developments,case studies and timely reviews on selected subjects in rock mechanics and geotechnical engineering."

关键词： Scope Journal Mechanics

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Fundamental behaviours of production traffic in underground mine haulage ramps

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International Journal of Mining Science and Technology 2015年第1期25卷 7-14页

作者： Haviland David Marshall Joshua golder associates ltd. The Robert M. Buchan Department of Mining Queen’s University

Ramps(or declines) are often used in underground mines to transport ore, waste, materials, and personnel. This paper studies mine ramp productivity and presents results from a set of computer simulations designed to model the fundamental behaviours of ramp haulage systems. Simulations show that, under fundamental assumptions without random disturbances, the haulage system always converges to a periodic behaviour in the steady state, but that productivities vary between equilibria. Simulations also demonstrate how productivity per vehicle does not necessarily decrease as more vehicles are added and,for example, in the five-vehicle case, how a 3.1% improvement can be achieved over the use of four vehicles. The result reveals the inefficiency of commonly-used lockout-style vehicle coordination strategies,and suggests a possible avenue for improving the productivity of haulage ramps by controlling the system to achieve more productive behaviours.

关键词：性行为井下运输生产力坡道煤矿计算机模拟运输系统生产率

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Influence of data analysis when exploiting DFN model representation in the application of rock mass classification systems

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Journal of Rock Mechanics and Geotechnical Engineering 2018年第6期10卷 1046-1062页

作者： Takako Miyoshi Davide Elmo Steve Rogers NBK Institute of Mining University of British ColumbiaVancouverCanada golder associates ltd. VancouverCanada

Discrete fracture network(DFN) models have been proved to be effective tools for the characterisation of rock masses by using statistical distributions to generate realistic three-dimensional(3 D) representations of a natural fracture network. The quality of DFN modelling relies on the quality of the field data and their interpretation. In this context, advancements in remote data acquisition have now made it possible to acquire high-quality data potentially not accessible by conventional scanline and window mapping. This paper presents a comparison between aggregate and disaggregate approaches to define fracture sets, and their role with respect to the definition of key input parameters required to generate DFN models. The focal point of the discussion is the characterisation of in situ block size distribution(IBSD) using DFN methods. An application of IBSD is the assessment of rock mass quality through rock mass classification systems such as geological strength index(GSI). As DFN models are becoming an almost integral part of many geotechnical and mining engineering problems, the authors present a method whereby realistic representation of 3 D fracture networks and block size analysis are used to estimate GSI ratings, with emphasis on the limitations that exist in rock engineering design when assigning a unique GSI value to spatially variable rock masses.

关键词： Data collection Discrete fracture network(DFN) Classification system Geological strength index(GSI)

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Overhanging rock slope by design:An integrated approach using rock mass strength characterisation,large-scale numerical modelling and limit equilibrium methods

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Journal of Rock Mechanics and Geotechnical Engineering 2018年第1期10卷 72-90页

作者： Paul Schlotfeldt Davide Elmo Brad Panton golder associates ltd. VancouverCanada NBK Institute of Mining The University of British ColumbiaVancouverCanada

Overhanging rock slopes(steeper than 90°) are typically avoided in rock engineering design, particularly where the scale of the slope exceeds the scale of fracturing present in the rock mass. This paper highlights an integrated approach of designing overhanging rock slopes where the relative dimensions of the slope exceed the scale of fracturing and the rock mass failure needs to be considered rather than kinematic release of individual blocks. The key to the method is a simplified limit equilibrium(LE) tool that was used for the support design and analysis of a multi-faceted overhanging rock slope. The overhanging slopes required complex geometries with constantly changing orientations. The overhanging rock varied in height from 30 m to 66 m. Geomechanical modelling combined with discrete fracture network(DFN)representation of the rock mass was used to validate the rock mass strength assumptions and the failure mechanism assumed in the LE model. The advantage of the simplified LE method is that buttress and support design iterations(along with sensitivity analysis of design parameters) can be completed for various cross-sections along the proposed overhanging rock sections in an efficient manner, compared to the more time-intensive, sophisticated methods that were used for the initial validation. The method described presents the development of this design tool and assumptions made for a specific overhanging rock slope design. Other locations will have different geological conditions that can control the potential behaviour of rock slopes, however, the approach presented can be applied as a general guiding design principle for overhanging rock cut slope.

关键词： Rock slopes Discrete fracture network(DFN) Rock mass strength characterisation Numerical modelling Limit equilibrium(LE) methods

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