Scientific and technological advancements are rapidly transforming underground engineering,shifting from labor-intensive,time-consuming methods to automated,real-time systems.This timely and comprehensive review cover...Scientific and technological advancements are rapidly transforming underground engineering,shifting from labor-intensive,time-consuming methods to automated,real-time systems.This timely and comprehensive review covers in-situ testing,intelligent monitoring,and geophysical testing methods,highlighting fundamental principles,testing apparatuses,data processing techniques,and engineering applications.The state-of-the-art summary emphasizes not only cutting-edge innovations for complex and harsh environments but also the transformative role of artificial intelligence and machine learning in data interpretations.The integration of big data and advanced algorithms is particularly impactful,enabling the identification,prediction,and mitigation of potential risks in underground projects.Key aspects of the discussion include detection capabilities,method integration,and data convergence of intelligent technologies to drive enhanced safety,operational efficiency,and predictive reliability.The review also examines future trends in intelligent technologies,emphasizing unified platforms that combine multiple methods,real-time data,and predictive analytics.These advancements are shaping the evolution of underground construction and maintenance,aiming for risk-free,high-efficiency underground engineering.展开更多
Urban geological information platforms have traditionally focused on static data provision for public service,constrained by funding and limited engagement with engineering applications.This study takes Hangzhou-a maj...Urban geological information platforms have traditionally focused on static data provision for public service,constrained by funding and limited engagement with engineering applications.This study takes Hangzhou-a major Chinese megacity-as a model to propose a technically integrated platform that aligns with urban infrastructure development,particularly underground space engineering.Through the adoption of the large-scale relational database system Oracle,we first established a comprehensive storage framework for fundamental urban geological and underground infrastructure information,thereby completed the construction of the core databases.To ensure spatial consistency across multi-source data and to meet the platform’s high computational demands while improving overall server responsiveness,we introduced three critical innovations:voxel-based model encoding,distributed computing,and frontend-backend separation with asynchronous processing.To align with urban engineering projects and enhance economic returns,the platform was initially developed through the integration of foundational geological data,including borehole records and aboveground-underground spatial information.Based on this foundation,its practical application in Hangzhou’s Qiantang New Town further demonstrated the platform’s potential in supporting subway routing,underground structure planning,and engineering cost analysis.Consequently,the construction of the Hangzhou geological information platform not only offers robust support for urban decision-making and smart city development but also provides a replicable model for addressing the technical and institutional challenges commonly encountered in the development of urban geological platforms.展开更多
The use of abrasive waterjets(AWJs)for rock drilling offers advantages in urbanized areas,locations that are vulnerable to damage,and piling operations.However,the overall operational cost of AWJ systems remains high ...The use of abrasive waterjets(AWJs)for rock drilling offers advantages in urbanized areas,locations that are vulnerable to damage,and piling operations.However,the overall operational cost of AWJ systems remains high compared to that of conventional drilling methods,which constrains the long-term industrial application of AWJs.For instance,the abrasive costs account for over 60%of the total process cost,but the recycling of abrasives remaining after drilling could significantly reduce machining costs.In this study,the post-impact characteristics of abrasives were explored,aiming to enhance their recyclability.The physical properties and particle distribution of used abrasives vary depending on the jet energy,ultimately affecting their recyclability and recycling rate.The particle properties of used abrasives(particle size distribution,particle shape,and mean particle size)were compared under different waterjet energy variables(standoff distance(SOD)and water pressure)and test conditions(dry and underwater).Furthermore,the collision stages of the abrasive particles within a waterjet system were classified and analyzed.The results revealed that abrasive fragmentation predominantly occurred due to internal collisions within the mixing chamber.In addition,an attempt was made to optimize the waterjet parameters for an economical and efficient operation.The findings of this study could contribute to enhancing the cost-effectiveness of AWJ systems for rock drilling applications.展开更多
Investigation of mining-induced stress is essential for the safety of coal production.Although the field monitoring and numerical simulation play a significant role in obtaining the structural mechanical behaviors,the...Investigation of mining-induced stress is essential for the safety of coal production.Although the field monitoring and numerical simulation play a significant role in obtaining the structural mechanical behaviors,the range of monitoring is not sufficient due to the limits of monitoring points and the associated numerical result is not accurate.In this study,we aim to present a spatial deduction model to characterize the mining-induced stress distribution using machine learning algorithm on limited monitoring data.First,the framework of the spatial deduction model is developed on the basis of non-negative matrix factorization(NMF)algorithm and optimized by mechanical mechanism.In this framework,the spatial correlation of stress response is captured from numerical results,and the learned correlation is employed in NMF as a mechanical constrain to augment the limited monitoring data and obtain the overall mechanical performances.Then,the developed model is applied to a coal mine in Shandong,China.Experimental results show the stress distribution in one plane is derived by several monitoring points,where mining induced stress release is observed in goaf and stress concentration in coal pillar,and the intersection point between goaf and coal seam is a sensitive area.The indicators used to evaluate the property of the presented model indicate that 83%mechanical performances have been captured and the deduction accuracy is about 92.9%.Therefore,it is likely that the presented deduction model is reliable.展开更多
In geotechnical engineering,the transparent soil(also called transparent media)technique is an effective tool for conducting experimental tests and investigating the displacement characteristics and stress distributio...In geotechnical engineering,the transparent soil(also called transparent media)technique is an effective tool for conducting experimental tests and investigating the displacement characteristics and stress distribution of soils.It plays a vital role in the observation of internal soil deformations.This study aims to briefly review the current state of some of the common materials used to formulate transparent soil models and the application of the transparent soil technique to underground construction over the last 20 years.To this end,the basic concepts of transparent soils are introduced.Then,several representative applications of transparent soil in underground construction(i.e.,soil deformations induced by the penetration of pile foundations,tunnel excavation-induced movements,and structural responses caused by braced excavations)are presented.Because some research gaps may exist,certain potential research topics are proposed.This review can serve as a guideline for researchers performing experiments using transparent soils.展开更多
The effect of pore water chemistry on anisotropic behavior of consolidation and shear strength of reconstituted Ariake clay has been investigated experimentally.Two types of chemicals added into the pore water of the ...The effect of pore water chemistry on anisotropic behavior of consolidation and shear strength of reconstituted Ariake clay has been investigated experimentally.Two types of chemicals added into the pore water of the soil for enhancing flocculation microstructure of soil particles are sodium chloride(salt)(NaCl),and calcium chloride(CaCl_(2));and two dispersants added are sodium triphosphate(Na_(5)-P_(3)O_(10))and sodium hexametaphosphate(Na_(6)P_(6)O_(18)),respectively.The concentrations of these chemicals in pore water were 2-3%.Degrees of anisotropy of the coefficient of consolidation and undrained shear strength decreased with adding NaCl and CaCl_(2),but increased with adding the dispersants.Degree of anisotropy also increased with one-dimensional(1D)deformation and the samples with dispersive additives had higher increase rate.It has been confirmed qualitatively by scanning electron microscopy(SEM)images that adding dispersive chemicals promoted the formation of dispersive microstructure and increased the degree of anisotropy,and the chemicals enhancing flocculent microstructure had an inverse effect.The possible application of the findings to underground construction has been discussed also.展开更多
The negative effects of greenhouse gas(GHG)emissions,such as climate change and global warming,have become major environmental concerns,especially for the construction industry,which is the third-highest source of GHG...The negative effects of greenhouse gas(GHG)emissions,such as climate change and global warming,have become major environmental concerns,especially for the construction industry,which is the third-highest source of GHG emissions among industrialized countries.Presently,underground utility projects are considered one of the most common types of construction,primarily due to aging infrastructure across North America and the subsequent rehabilitation of old pipelines and installation of new pipelines and facilities.Given the increasing demand being placed on the industry,the need to study airborne emissions associated with different underground construction technologies has risen,which will be helpful in selecting the most sus-tainable underground construction methods.This study investigates pollutant emis-sion from two common trenchless methods used in underground construction,hand tunneling and pilot-tube method(PTM),through their varying GHG footprint sources and emissions measured by the United States Environmental Protection Agency(EPA).This paper analyzes a case from Edmonton,Canada,in which both PTM and hand tunneling were used by comparing the suggested indexes,including HC,CO,NO_(3) PM,CO_(2),and SO_(2).In this case study,both methods were used in the installation of a new 68-cm diameter(27 in.)clay sewer line with an overbur-den depth of 12.9 m(42 ft)and length of 60 m(197 ft).Results indicated that the amount of airborne emissions was reduced between 17%and 36%through the use of PTM compared to the traditional hand tunnelling method.展开更多
Application of Artificial Intelligence(AI)in tunnel construction has the potential to transform the industry by improving efficiency,safety,and cost-effectiveness.This paper presents a comprehensive literature review ...Application of Artificial Intelligence(AI)in tunnel construction has the potential to transform the industry by improving efficiency,safety,and cost-effectiveness.This paper presents a comprehensive literature review and analysis of hotspots and frontier topics in artificial intelligence-related research in tunnel construction.A total of 554 articles published between 2011 and 2023 were collected from the Web of Science(WOS)core collection database and analyzed using CiteSpace software.The analysis identified three main study areas:Tunnel Boring Machine(TBM)performance,construction optimization,and rock and soil mechanics.The review highlights the advancements made in each area,focusing on design and operation,performance prediction models,and fault detection in TBM performance;computer vision and image processing,neural network algorithms,and optimization and decision-making in construction optimization;and geo-properties and behaviours,tunnel stability and excavation,and risk assessment and safety management in rock and soil mechanics.The paper concludes by discussing future research directions,emphasizing the integration of AI with other advanced technologies,realtime decision-making systems,and the management of environmental impacts in tunnel construction.This comprehensive review provides valuable insights into the current state of AI research in tunnel engineering and serves as a reference for future studies in this rapidly evolvingfield.展开更多
Currently,there is a worldwide trend towards reducing emissions into the environment generated by human activities.Pollutant emissions into the atmosphere are a major measure of the impact on environment.The construct...Currently,there is a worldwide trend towards reducing emissions into the environment generated by human activities.Pollutant emissions into the atmosphere are a major measure of the impact on environment.The construction indus-try is a major producer of such emissions due in part to the magnitude of operations and the vast array of equipment.Increased urbanization has resulted in a need for the installation of an expanded underground network of infrastruc-ture that includes gas,water,wastewater,pipelines,power,and communications systems.Today,engineers are faced with engaging the construction option that not only provides the best cost advantage,but also considers environmental sensitivities to create the most sustainable solution.Reduction of pollutants such as carbon dioxide(CO_(2)),carbon monoxide(CO),nitrogen oxide(NO_(X)),total organic compounds(TOC),and sulfur oxide(SO_(X))have been identified by the United States Environmental Protection Agency as critical to sustainable development.This paper describes an approach for quantifying airborne emissions that is demonstrated through a comparison of two construction methods for installing a wastewater line.It was discovered that the option involving a traditional open cut method resulted in an overall average of about 80%greater emissions compared to trenchless pipe replacement.Thefindings of this paper should assist the utility construction industry in technology selection to minimize environmental impacts.展开更多
基金supported by Ministry of Education of Singapore,under Academic Research Fund Tier 1(Grant Number RG143/23).
文摘Scientific and technological advancements are rapidly transforming underground engineering,shifting from labor-intensive,time-consuming methods to automated,real-time systems.This timely and comprehensive review covers in-situ testing,intelligent monitoring,and geophysical testing methods,highlighting fundamental principles,testing apparatuses,data processing techniques,and engineering applications.The state-of-the-art summary emphasizes not only cutting-edge innovations for complex and harsh environments but also the transformative role of artificial intelligence and machine learning in data interpretations.The integration of big data and advanced algorithms is particularly impactful,enabling the identification,prediction,and mitigation of potential risks in underground projects.Key aspects of the discussion include detection capabilities,method integration,and data convergence of intelligent technologies to drive enhanced safety,operational efficiency,and predictive reliability.The review also examines future trends in intelligent technologies,emphasizing unified platforms that combine multiple methods,real-time data,and predictive analytics.These advancements are shaping the evolution of underground construction and maintenance,aiming for risk-free,high-efficiency underground engineering.
基金supported by the China Geological Survey,Nanjing Center,Zhejiang Geological Survey and China University of Geosciences,Wuhanfunded by the Laboratory of Geological Safety of Underground Space in Coastal Cities,Ministry of Natural Resources(Project No.BHKF2023×01)the China Geological Survey,Nanjing Center(Project No.DD20190281).
文摘Urban geological information platforms have traditionally focused on static data provision for public service,constrained by funding and limited engagement with engineering applications.This study takes Hangzhou-a major Chinese megacity-as a model to propose a technically integrated platform that aligns with urban infrastructure development,particularly underground space engineering.Through the adoption of the large-scale relational database system Oracle,we first established a comprehensive storage framework for fundamental urban geological and underground infrastructure information,thereby completed the construction of the core databases.To ensure spatial consistency across multi-source data and to meet the platform’s high computational demands while improving overall server responsiveness,we introduced three critical innovations:voxel-based model encoding,distributed computing,and frontend-backend separation with asynchronous processing.To align with urban engineering projects and enhance economic returns,the platform was initially developed through the integration of foundational geological data,including borehole records and aboveground-underground spatial information.Based on this foundation,its practical application in Hangzhou’s Qiantang New Town further demonstrated the platform’s potential in supporting subway routing,underground structure planning,and engineering cost analysis.Consequently,the construction of the Hangzhou geological information platform not only offers robust support for urban decision-making and smart city development but also provides a replicable model for addressing the technical and institutional challenges commonly encountered in the development of urban geological platforms.
基金supported by the Korea Agency for Infrastructure Technology Advancement(KAIA)grant funded by the Ministry of Land,Infrastructure and Transport(Grant No.RS-2023-00245334)。
文摘The use of abrasive waterjets(AWJs)for rock drilling offers advantages in urbanized areas,locations that are vulnerable to damage,and piling operations.However,the overall operational cost of AWJ systems remains high compared to that of conventional drilling methods,which constrains the long-term industrial application of AWJs.For instance,the abrasive costs account for over 60%of the total process cost,but the recycling of abrasives remaining after drilling could significantly reduce machining costs.In this study,the post-impact characteristics of abrasives were explored,aiming to enhance their recyclability.The physical properties and particle distribution of used abrasives vary depending on the jet energy,ultimately affecting their recyclability and recycling rate.The particle properties of used abrasives(particle size distribution,particle shape,and mean particle size)were compared under different waterjet energy variables(standoff distance(SOD)and water pressure)and test conditions(dry and underwater).Furthermore,the collision stages of the abrasive particles within a waterjet system were classified and analyzed.The results revealed that abrasive fragmentation predominantly occurred due to internal collisions within the mixing chamber.In addition,an attempt was made to optimize the waterjet parameters for an economical and efficient operation.The findings of this study could contribute to enhancing the cost-effectiveness of AWJ systems for rock drilling applications.
基金supported by the National Natural Science Foundation of China(Grant No.51991392)Key deployment projects of Chinese Academy of Sciences(Grant No.ZDRW-ZS-2021-3)Project for Research Assistant of Chinese Academy of Sciences,and National Key R&D Program of China(Grant No.2021YFC3100805).
文摘Investigation of mining-induced stress is essential for the safety of coal production.Although the field monitoring and numerical simulation play a significant role in obtaining the structural mechanical behaviors,the range of monitoring is not sufficient due to the limits of monitoring points and the associated numerical result is not accurate.In this study,we aim to present a spatial deduction model to characterize the mining-induced stress distribution using machine learning algorithm on limited monitoring data.First,the framework of the spatial deduction model is developed on the basis of non-negative matrix factorization(NMF)algorithm and optimized by mechanical mechanism.In this framework,the spatial correlation of stress response is captured from numerical results,and the learned correlation is employed in NMF as a mechanical constrain to augment the limited monitoring data and obtain the overall mechanical performances.Then,the developed model is applied to a coal mine in Shandong,China.Experimental results show the stress distribution in one plane is derived by several monitoring points,where mining induced stress release is observed in goaf and stress concentration in coal pillar,and the intersection point between goaf and coal seam is a sensitive area.The indicators used to evaluate the property of the presented model indicate that 83%mechanical performances have been captured and the deduction accuracy is about 92.9%.Therefore,it is likely that the presented deduction model is reliable.
基金supported by the Key Laboratory of Mining Disaster Prevention and Control(No.MDPC201902)Chongqing Construction Science and Technology Plan Project(No.2019-0045)+1 种基金Graduate Research and Innovation Foundation of Chongqing(No.CYS18024)Fundamental Research Funds for the Central Universities(Grant ID 2019CDJDTM0007).
文摘In geotechnical engineering,the transparent soil(also called transparent media)technique is an effective tool for conducting experimental tests and investigating the displacement characteristics and stress distribution of soils.It plays a vital role in the observation of internal soil deformations.This study aims to briefly review the current state of some of the common materials used to formulate transparent soil models and the application of the transparent soil technique to underground construction over the last 20 years.To this end,the basic concepts of transparent soils are introduced.Then,several representative applications of transparent soil in underground construction(i.e.,soil deformations induced by the penetration of pile foundations,tunnel excavation-induced movements,and structural responses caused by braced excavations)are presented.Because some research gaps may exist,certain potential research topics are proposed.This review can serve as a guideline for researchers performing experiments using transparent soils.
基金Mr.A.Saito,technician at the Graduate School of Science and Engineering,Saga University,Japan and Mr.T.Shimizu,graduate of the Faculty of Science and Engineering,Saga University conducted the direct shear tests reported in this study.This work has been supported by the National Natural Science Foundation of China(NSFC)with a grant No.51578333the Grants-in-Aid for Scientific Research(KAKENHI)of the Japanese Society for the Promotion of Science(JSPS)with a grant number of 15K06212.
文摘The effect of pore water chemistry on anisotropic behavior of consolidation and shear strength of reconstituted Ariake clay has been investigated experimentally.Two types of chemicals added into the pore water of the soil for enhancing flocculation microstructure of soil particles are sodium chloride(salt)(NaCl),and calcium chloride(CaCl_(2));and two dispersants added are sodium triphosphate(Na_(5)-P_(3)O_(10))and sodium hexametaphosphate(Na_(6)P_(6)O_(18)),respectively.The concentrations of these chemicals in pore water were 2-3%.Degrees of anisotropy of the coefficient of consolidation and undrained shear strength decreased with adding NaCl and CaCl_(2),but increased with adding the dispersants.Degree of anisotropy also increased with one-dimensional(1D)deformation and the samples with dispersive additives had higher increase rate.It has been confirmed qualitatively by scanning electron microscopy(SEM)images that adding dispersive chemicals promoted the formation of dispersive microstructure and increased the degree of anisotropy,and the chemicals enhancing flocculent microstructure had an inverse effect.The possible application of the findings to underground construction has been discussed also.
文摘The negative effects of greenhouse gas(GHG)emissions,such as climate change and global warming,have become major environmental concerns,especially for the construction industry,which is the third-highest source of GHG emissions among industrialized countries.Presently,underground utility projects are considered one of the most common types of construction,primarily due to aging infrastructure across North America and the subsequent rehabilitation of old pipelines and installation of new pipelines and facilities.Given the increasing demand being placed on the industry,the need to study airborne emissions associated with different underground construction technologies has risen,which will be helpful in selecting the most sus-tainable underground construction methods.This study investigates pollutant emis-sion from two common trenchless methods used in underground construction,hand tunneling and pilot-tube method(PTM),through their varying GHG footprint sources and emissions measured by the United States Environmental Protection Agency(EPA).This paper analyzes a case from Edmonton,Canada,in which both PTM and hand tunneling were used by comparing the suggested indexes,including HC,CO,NO_(3) PM,CO_(2),and SO_(2).In this case study,both methods were used in the installation of a new 68-cm diameter(27 in.)clay sewer line with an overbur-den depth of 12.9 m(42 ft)and length of 60 m(197 ft).Results indicated that the amount of airborne emissions was reduced between 17%and 36%through the use of PTM compared to the traditional hand tunnelling method.
基金supports from the Natural Science Foundation of China(No.52178393,51578447)Science and Technology Innovation Team of Shaanxi Innovation Capability Support Plan(No.2020TD005).
文摘Application of Artificial Intelligence(AI)in tunnel construction has the potential to transform the industry by improving efficiency,safety,and cost-effectiveness.This paper presents a comprehensive literature review and analysis of hotspots and frontier topics in artificial intelligence-related research in tunnel construction.A total of 554 articles published between 2011 and 2023 were collected from the Web of Science(WOS)core collection database and analyzed using CiteSpace software.The analysis identified three main study areas:Tunnel Boring Machine(TBM)performance,construction optimization,and rock and soil mechanics.The review highlights the advancements made in each area,focusing on design and operation,performance prediction models,and fault detection in TBM performance;computer vision and image processing,neural network algorithms,and optimization and decision-making in construction optimization;and geo-properties and behaviours,tunnel stability and excavation,and risk assessment and safety management in rock and soil mechanics.The paper concludes by discussing future research directions,emphasizing the integration of AI with other advanced technologies,realtime decision-making systems,and the management of environmental impacts in tunnel construction.This comprehensive review provides valuable insights into the current state of AI research in tunnel engineering and serves as a reference for future studies in this rapidly evolvingfield.
文摘Currently,there is a worldwide trend towards reducing emissions into the environment generated by human activities.Pollutant emissions into the atmosphere are a major measure of the impact on environment.The construction indus-try is a major producer of such emissions due in part to the magnitude of operations and the vast array of equipment.Increased urbanization has resulted in a need for the installation of an expanded underground network of infrastruc-ture that includes gas,water,wastewater,pipelines,power,and communications systems.Today,engineers are faced with engaging the construction option that not only provides the best cost advantage,but also considers environmental sensitivities to create the most sustainable solution.Reduction of pollutants such as carbon dioxide(CO_(2)),carbon monoxide(CO),nitrogen oxide(NO_(X)),total organic compounds(TOC),and sulfur oxide(SO_(X))have been identified by the United States Environmental Protection Agency as critical to sustainable development.This paper describes an approach for quantifying airborne emissions that is demonstrated through a comparison of two construction methods for installing a wastewater line.It was discovered that the option involving a traditional open cut method resulted in an overall average of about 80%greater emissions compared to trenchless pipe replacement.Thefindings of this paper should assist the utility construction industry in technology selection to minimize environmental impacts.
