Geotechnics最新文献_第3页

Modelling of Truck Tire–Rim Slip on Sandy Loam Using Advanced Computational Techniques 利用先进计算技术模拟沙质壤土上的卡车轮胎-轮辋滑动模型

Geotechnics Pub Date : 2024-02-25 DOI: 10.3390/geotechnics4010012

William Collings, Zeinab El-Sayegh, Jing Ren, M. El-Gindy

{"title":"Modelling of Truck Tire–Rim Slip on Sandy Loam Using Advanced Computational Techniques","authors":"William Collings, Zeinab El-Sayegh, Jing Ren, M. El-Gindy","doi":"10.3390/geotechnics4010012","DOIUrl":"https://doi.org/10.3390/geotechnics4010012","url":null,"abstract":"Vehicles often experience low tire pressures and high torques in off-road operations, making tire–rim slip likely. Tire–rim slip is undesirable relative rotation between the tire and rim, which, in this study, is measured by the relative tire–rim slip rate. There is little research on the effect of different terrains on tire–rim slip despite its significance for off-road driving; therefore, this topic was explored through Finite Element Analysis (FEA) simulations. An upland sandy loam soil was modelled and calibrated using Smoothed-Particle Hydrodynamics (SPH), and then a Regional Haul Drive (RHD) truck tire was simulated driving over this terrain, with a drawbar load added to increase drive torque. To examine their effects, five parameters were changed: tire–rim friction coefficient, longitudinal wheel speed, drawbar load, vertical load, and inflation pressure. The simulations showed that increasing the tire–rim friction coefficient and the inflation pressure decreased the tire–rim slip while increasing the vertical and drawbar loads increased the tire–rim slip. Varying the longitudinal wheel speed had no significant effect. Tire–rim slip was more likely to occur on the soil because it happened at lower drawbar loads on the soil than on the hard surface. These research results increased knowledge of tire–rim slip mechanics and provided a foundation for exploring tire–rim slip on other terrains, such as clays or sands.","PeriodicalId":505610,"journal":{"name":"Geotechnics","volume":"25 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140432996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geomechanical Characterization of the Rock Mass along a Deep Vertical Borehole 深垂直钻孔沿线岩体的地质力学特征

Geotechnics Pub Date : 2024-02-20 DOI: 10.3390/geotechnics4010011

M. Mandaglio

{"title":"Geomechanical Characterization of the Rock Mass along a Deep Vertical Borehole","authors":"M. Mandaglio","doi":"10.3390/geotechnics4010011","DOIUrl":"https://doi.org/10.3390/geotechnics4010011","url":null,"abstract":"Deep vertical boreholes play a crucial role in underground exploration, resource extraction such as geothermal energy extraction, oil and gas exploration, underground waste storage and various underground engineering applications. The geomechanical properties of the rocks surrounding these boreholes are essential for designing safe, efficient drilling operations, for using adequate technologies and equipment and for providing mitigation measurements. Specifically, when the excavations are performed inside in-depth, extremely fractured and weathered rocks, the identification of zones more susceptible to crossing is a primary goal. This paper presents a thorough investigation into the rock masses surrounding a deep vertical borehole that involved the collection of core samples from the deep vertical borehole, laboratory testing, in situ tests and the application of geomechanical models to characterize the crossed rock masses. After a lithological and structural description of the rock masses and a description of the methodology used for their characterization, this paper focuses on the geomechanical parameterization of the rock mass using the uniaxial compressive strength of the intact rock (σci) and the Geological Strength Index (GSI). The obtained findings highlight the extreme variability in the depth of the geomechanical parameters of crossed rocks, which decreased with the depth. This methodology can be used to characterize rock masses along other deep boreholes, for which there is a lack of research, and to define the most problematic zones for underground crossing where different support works must be designed.","PeriodicalId":505610,"journal":{"name":"Geotechnics","volume":"120 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing TBM Performance: Integrating Shield Friction Analysis and Machine Learning in Geotechnical Engineering 提高 TBM 性能：岩土工程中的盾构摩擦分析与机器学习相结合

Geotechnics Pub Date : 2024-02-14 DOI: 10.3390/geotechnics4010010

Marcel Schlicke, Helmut Wannenmacher, K. Nübel

引用次数: 0

Advancing TBM Performance: Integrating Shield Friction Analysis and Machine Learning in Geotechnical Engineering 提高 TBM 性能：岩土工程中的盾构摩擦分析与机器学习相结合

Geotechnics Pub Date : 2024-02-14 DOI: 10.3390/geotechnics4010010

Marcel Schlicke, Helmut Wannenmacher, K. Nübel

引用次数: 0

Fracture Network Influence on Rock Damage and Gas Transport following an Underground Explosion 地下爆炸后断裂网对岩石破坏和气体迁移的影响

Geotechnics Pub Date : 2024-01-31 DOI: 10.3390/geotechnics4010009

Aidan Stansberry, M. Sweeney, J. Hyman, Justin Strait, Z. Lei, Hari S. Viswanathan, Philip H. Stauffer

{"title":"Fracture Network Influence on Rock Damage and Gas Transport following an Underground Explosion","authors":"Aidan Stansberry, M. Sweeney, J. Hyman, Justin Strait, Z. Lei, Hari S. Viswanathan, Philip H. Stauffer","doi":"10.3390/geotechnics4010009","DOIUrl":"https://doi.org/10.3390/geotechnics4010009","url":null,"abstract":"Simulations of rock damage and gas transport following underground explosions that omit preexisting fracture networks in the subsurface cannot fully characterize the influence of geo-structural variability on gas transport. Previous studies do not consider the impact that fracture network structure and variability have on gas seepage. In this study, we develop a sequentially coupled, axi-symmetric model to look at the damage pattern and resulting gas breakthrough curves following an underground explosion given different fracture network realizations. We simulate 0.327 and 0.164 kT chemical explosives with burial depths of 100 m for 90 stochastically generated fracture networks. Gases quickly reach the surface in 30% of the higher yield simulations and 5% of the lower yield simulations. The fast breakthrough can be attributed to the formation of connected pathways between fractures to the surface. The formation of a connected damage pathway to the surface is not clearly correlated with the fracture intensity (P32) in our simulations. Breakthrough curves with slower transport are highly variable depending on the fracture network sample. The variability in the breakthrough behavior indicates that ignoring the influence of fracture networks on rock damage, which strongly influences the hydraulic properties following an underground explosion, will likely lead to a large underestimation of the uncertainty in the gas transport to the surface. This work highlights the need for incorporation of fracture networks into models for accurately predicting gas seepage following underground explosions.","PeriodicalId":505610,"journal":{"name":"Geotechnics","volume":"141 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140476085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Parametric Study of Lateral Load on Helical Pipe Piles in Clay 粘土中螺旋管桩侧向荷载参数研究

Geotechnics Pub Date : 2024-01-19 DOI: 10.3390/geotechnics4010008

Guowei Sui, Lin Li, Jialin Zhou, Erwin Oh

{"title":"Parametric Study of Lateral Load on Helical Pipe Piles in Clay","authors":"Guowei Sui, Lin Li, Jialin Zhou, Erwin Oh","doi":"10.3390/geotechnics4010008","DOIUrl":"https://doi.org/10.3390/geotechnics4010008","url":null,"abstract":"In the past decades, as the world has placed emphasis on green energy, solar energy has become a favorable option. Different piled foundations have been designed to strengthen the structure supporting the solar panels. These piled foundations include rectangular and circular hollow section piles, as well as H-shaped piles. With various environmental loadings, lateral soil displacement will be encountered when large solar panels are installed on the supporting structure at an inclined angle. Presently, helical pipe piles are widely used in solar farms as part of the supporting structure. In this paper, the pile–soil interaction of steel pipe piles and helical pipe piles with wind loads is analyzed using ABAQUS. The Finite Element Method (FEM) models are assessed with varying strength moduli and cohesions of clay. Further, this paper examines the pile soil system, considering different clay stiffnesses, including very soft, soft, firm, stiff, very stiff, and hard. It is found that the helical piles’ horizontal capacity increases with soil strength and Young’s modulus, but the capacity increment rate reacts differently. This study has a guiding effect on the construction of solar farms using the “tracker” solar system.","PeriodicalId":505610,"journal":{"name":"Geotechnics","volume":"18 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139613762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A State-of-the-Art Review on Computational Modeling of Dynamic Soil–Structure Interaction in Crash Test Simulations 碰撞试验模拟中土体与结构动态相互作用计算建模的最新进展综述

Geotechnics Pub Date : 2024-01-15 DOI: 10.3390/geotechnics4010007

Tewodros Y. Yosef, Ronald K. Faller, Chen Fang, Seunghee Kim

{"title":"A State-of-the-Art Review on Computational Modeling of Dynamic Soil–Structure Interaction in Crash Test Simulations","authors":"Tewodros Y. Yosef, Ronald K. Faller, Chen Fang, Seunghee Kim","doi":"10.3390/geotechnics4010007","DOIUrl":"https://doi.org/10.3390/geotechnics4010007","url":null,"abstract":"The use of nonlinear, large-deformation, dynamic finite element analysis (FEA) has become a cornerstone in crash test simulations, playing a pivotal role in evaluating the safety performance of critical civil infrastructures, including soil-embedded vehicle barrier systems. This review paper offers a detailed examination of numerical modeling methodologies employed for simulating dynamic soil–structure interactions in crash test simulations, with a particular focus on dynamic impact pile–soil interaction. This interaction is a critical determinant in assessing the effectiveness of soil-embedded barrier systems during vehicular impacts. Our extensive review methodically categorizes and critically evaluates four prevalent modeling methodologies: the lumped parameter method, the subgrade reaction method, the modified subgrade reaction approach, and the direct or mesh-based continuum method. We explore each methodology’s underlying philosophy, strengths, and shortcomings in accurately simulating the dynamic interaction between soil and piles under impact loading. This technical review aims to provide a thorough understanding of the critical and distinctive aspects of modeling soil’s dynamic responses under impact loading conditions. Moreover, this paper is envisioned to serve as a foundational reference for future research endeavors, steering the advancement of innovative simulation techniques for tackling the dynamic impact soil–structure interaction problem.","PeriodicalId":505610,"journal":{"name":"Geotechnics","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139621667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancements in Understanding Interface Friction: A Combined Experimental and Machine Learning Approach Using Multiple Linear and Random Forest Regressions 了解界面摩擦的进展：使用多重线性回归和随机森林回归的实验与机器学习相结合的方法

Geotechnics Pub Date : 2024-01-09 DOI: 10.3390/geotechnics4010006

Firas Daghistani, Hossam Abuel-Naga

{"title":"Advancements in Understanding Interface Friction: A Combined Experimental and Machine Learning Approach Using Multiple Linear and Random Forest Regressions","authors":"Firas Daghistani, Hossam Abuel-Naga","doi":"10.3390/geotechnics4010006","DOIUrl":"https://doi.org/10.3390/geotechnics4010006","url":null,"abstract":"The interface friction between granular materials and continuum surfaces is fundamental in civil engineering, especially in geotechnical projects where sand of varying sizes and shapes contacts surfaces with different roughness and hardness. The aim of this research is to investigate the parameters that influence the peak interface friction, taking into consideration the properties of both sand and continuum surfaces. This will be accomplished by employing a combination of experimental and machine learning techniques. In the experiment, a series of interface shear tests were conducted using a direct shear apparatus under differing levels of normal stress and density. Utilising machine learning techniques, the study considered eleven input features: mean particle size, void ratio, specific gravity, particle regularity, coefficient of uniformity, coefficient of curvature, granular rubber content, carpet fibre content, normal stress, surface roughness, and surface hardness. The output measured was the peak interface friction. The machine learning techniques enable us to explore the complex relationships between the input features and the peak interface friction, and to develop an empirical equation that can accurately predict the interface friction. The experiment findings reveal that density, inclusion of recycled material, and normalised roughness impact peak interface friction. The machine learning findings validate the efficacy of both multiple linear regression and random forest regression models in predicting the peak interface friction, with the latter outperforming the former in terms of accuracy when compared to the experiment results. Furthermore, the most important features from both models were identified.","PeriodicalId":505610,"journal":{"name":"Geotechnics","volume":"54 41","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139441838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Relationships between Soil Moisture and Visible–NIR Soil Reflectance: A Review Presenting New Analyses and Data to Fill the Gaps 土壤水分与可见光-近红外土壤反射率之间的关系：提出新分析和数据以填补空白的综述

Geotechnics Pub Date : 2024-01-04 DOI: 10.3390/geotechnics4010005

Savannah L. McGuirk, I. Cairns

{"title":"Relationships between Soil Moisture and Visible–NIR Soil Reflectance: A Review Presenting New Analyses and Data to Fill the Gaps","authors":"Savannah L. McGuirk, I. Cairns","doi":"10.3390/geotechnics4010005","DOIUrl":"https://doi.org/10.3390/geotechnics4010005","url":null,"abstract":"The ability to precisely monitor soil moisture is highly valuable in industries including agriculture and civil engineering. As soil moisture is a spatially erratic and temporally dynamic variable, rapid, cost-effective, widely applicable, and practical techniques are required for monitoring soil moisture at all scales. If a consistent numerical relationship between soil moisture content and soil reflectance can be identified, then soil spectroscopic models may be used to efficiently predict soil moisture content from proximal soil reflectance and/or remotely sensed data. Previous studies have identified a general decrease in visible–NIR soil reflectance as soil moisture content increases, however, the strength, best wavelengths for modelling, and domain of the relationship remain unclear from the current literature. After reviewing the relevant literature and the molecular interactions between water and light in the visible–NIR (400–2500 nm) range, this review presents new analyses and interprets new 1 nm resolution soil reflectance data, collected at >20 moisture levels for ten soil samples. These data are compared to the results of other published studies, extending these as required for further interpretation. Analyses of this new high-resolution dataset demonstrate that linear models are sufficient to characterise the relationship between soil moisture and reflectance in many cases, but relationships are typically exponential. Equations generalising the relationship between soil MC and reflectance are presented for a number of wavelength ranges and combinations. Guidance for the adjustment of these equations to suit other soil types is also provided, to allow others to apply the solutions presented here and to predict soil moisture content in a much wider range of soils.","PeriodicalId":505610,"journal":{"name":"Geotechnics","volume":"53 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139385719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Seismic Behavior of Retaining Walls: A Critical Review of Analytical and Field Performance Studies 挡土墙的抗震性能：对分析和实地性能研究的严格审查

Geotechnics Pub Date : 2023-12-28 DOI: 10.3390/geotechnics4010004

Sabahat Ali Khan, M. Karray, P. Paultre

引用次数: 0