Study on stability classification of underground engineering surrounding rock based on concept lattice—TOPSIS

Wu, Shuliang; Chen, Jianhong; Wu, Mengqi

doi:10.1007/s12517-020-05320-y

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…Both query and update modules confine their operations to their specific data requirements and the approved degree of access, based on the end-user category. For instance, the public should not be conscious of the sensitive information for the underground infrastructure, thereby preventing access to the data [48].…”

Section: The Proposed Bda With Iot On Urban Underground Engineering (...mentioning

confidence: 99%

Foundation Treatment in Urban Underground Engineering Using Big Data Analysis for Smart City Applications

Liu¹,

Zhang²,

Zhang³

2022

Computer Modeling in Engineering &Amp; Sciences

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A core element of the sustainable approach to global living quality improvement can now become the intensive and organized usage of underground space. There is a growing interest in underground building and growth worldwide. The reduced consumption of electricity, effective preservation of green land, sustainable wastewater and sewage treatment, efficient reverse degradation of the urban environment, and reliable critical infrastructure management can improve the quality of life. At the same time, technological innovations such as artificial intelligence (AI), cloud computing (CC), the internet of things (IoT), and big data analytics (BDA) play a significant role in improved quality of life. Hence, this study aims to integrate the technological innovations in urban underground engineering to ensure a high quality of life. Thus, this study uses big data analytics to carry out the status quo of foundation treatment and proposes a conceptual framework named the BDA with IoT on urban underground engineering (BI0T-UUE). This framework connects hidden features with various high-level sensing sources and practical predictive model characterization to lower building costs, productive infrastructure management, preparedness for disasters, and modern community smart services. The IoT integration gives an optimum opportunity to work towards the functionality of ''digital doubles'' of secret infrastructure, both economical and scalable, with the increasing sophistication and tooling of the underworld. The simulation analysis ensures the highest efficiency and cost-effectiveness of the underground engineering with a value of 96.54% and 97.46%. KEYWORDSUnderground engineering; internet of things; big data analytics; status quo; economic and social; smart city 1 Overview of Urban Underground Engineering using Big Data Analysis for Smart City Applications Smart cities have a strategic plan covering substantial usage of the underground [1]. Wellplanned underwater infrastructure can positively affect land use and development decisions and minimize vehicle usage and related effects [2]. High-density urban centers, however, could rely on centralized services and improve sustainable development [3]. Multiple difficulties connected This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Section: The Proposed Bda With Iot On Urban Underground Engineering (...mentioning

confidence: 99%

Foundation Treatment in Urban Underground Engineering Using Big Data Analysis for Smart City Applications

Liu¹,

Zhang²,

Zhang³

2022

Computer Modeling in Engineering &Amp; Sciences

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“…Traditional three dimensional (3D) geological surveys mainly determine the deep information of the geological body manually through a comprehensive study of geological and section maps, measured field profiles, analysis of samples from boreholes, and other plane two dimensional (2D) and elevation 2D data, and expresses the distribution of surface geological bodies in 3D space a "pseudo 3D" form, or through a projection or overlay study on multiple planes, expressing comprehensive geological laws (Houlding 1994, Wu et al 2003, Caumon et al 2004, Cheng et al 2004, Yang et al 2015. True 3D geological modeling makes full use of data that can reflect deep information, such as geology, exploration, and testing, and computer graphics to realize a 3D visualization.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to 3D Digital Evaluation and Analysis In Geological Engineering

Gao,

Li,

et al. 2023

Bangladesh J. Bot.

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The initial geological analysis of hydropower projects is greatly complicated by the existence of complex geological conditions. To adapt advances in informatization and digitalization to the needs of the engineering survey industry and to conduct geological analysis more intuitively, in the present study the development of “GeoBIM”, a geological 3D design platform based on the DSI modeling engine and a “graphics + data” architecture is rerported. GeoBIM realized the integration of 3D information in the whole process of geological work, from field data collection, model design, and analysis to approval. Taking the siting and construction of a hydropower station as an example, the field data collection and cataloging APP (boreholes, caverns, slopes) and web-side exploration monitoring platform of GeoBIM were used to build a 3D geological fine visualization model. The principle of dissipated energy was used to analyze the quality of the rock mass, which showed the spatial distribution characteristics of local geological conditions and rock mass quality, improving the efficiency and intuitiveness of engineering rock mass quality classification. GeoBIM was compared with traditional 2D geological analysis methods and actual conditions to demonstrate the rationale and intuitive use of the 3D digital evaluation method in geological engineering. Bangladesh J. Bot. 52(2): 679-688, 2023 (June) Special

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Developing rock mass classification method using precise description of joints

Jin,

Liang,

Cui

et al. 2023

Environ Earth Sci

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Rock mass classi cation is essential for assessing the quality of macroscopic rock mass and is the basis for rock mass stability analysis and geotechnical engineering design. The joint observation technology limits traditional rock mass classi cation methods in that they only collect joint information from onedimensional or two-dimensional space and cannot comprehensively obtain the joint occurrence in threedimensional space. Consequently, empirical formulas are frequently used in studies on joint distribution laws, resulting in less accurate calculations of joint parameters. This study develops a method for classifying rock masses using a precise description of the joints. Initially, it utilizes the borehole camera and the Sirovision joint scanning system to acquire accurate three-dimensional joint occurrence data. The subjective and objective weights of each evaluation index are derived from the analytic hierarchy process (AHP) and the CRITIC technique according to the cloud model theory. The game theory is then employed to determine the combined weight and evaluate the quality of a rock mass method with the cloud model (GA-CM). The proposed classi cation method is applied to the slope of an open-pit mine. The results indicate that compared to the traditional methods, the proposed method is objective, accurate, and eldapplicable and also reduces the in uence of subjective factors on rock mass quality evaluation and enhances the classi cation reliability.

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Study on stability classification of underground engineering surrounding rock based on concept lattice—TOPSIS

Cited by 5 publications

References 24 publications

Foundation Treatment in Urban Underground Engineering Using Big Data Analysis for Smart City Applications

Foundation Treatment in Urban Underground Engineering Using Big Data Analysis for Smart City Applications

A New Approach to 3D Digital Evaluation and Analysis In Geological Engineering

Developing rock mass classification method using precise description of joints

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