A semi-automatic method for 3D modeling and visualizing complex geological bodies

Song, Ren‐Jie; Qin, Xiaoqian; Tao, Yeqing; Wang, Xiyuan; Yin, Bo; Wang, Yuexiang; Li, Wenhui

doi:10.1007/s10064-018-1244-3

Cited by 24 publications

(10 citation statements)

References 21 publications

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“…Researchers from different perspectives proposed many theories and technologies for three-dimensional (3D) geological modeling [10][11][12]. In order to simulate the complex geological structure, related modeling software has been developed (ArcGIS [13], GoCAD [14], Surpac [15], etc.). ese models usually have specific data formats, such as GeoSciML [16] and 3D-GEM [17].…”

Section: D Geological Modelmentioning

confidence: 99%

Development of Data Integration and Sharing for Geotechnical Engineering Information Modeling Based on IFC

Chen

et al. 2021

Advances in Civil Engineering

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With the rapid development of infrastructure construction, geotechnical engineering has always been worthy of attention due to its complexity and diversity. Accelerating the informatization of geotechnical engineering will contribute to the project management, but the information contained in geotechnical engineering cannot be well integrated because of the lack of unified data standards. Building Information Modeling (BIM) has been considered as an effective technology to manage information, and Industry Foundation Classes (IFC) in BIM serves as a neutral and open standard for the exchange of information. However, it was found that BIM cannot express the information of some structure objects and geological objects well during the construction process of geotechnical engineering. Combined with the characteristics of geotechnical engineering, taking advantage of the good extensibility of IFC, this paper proposes a “Built-In Generation Schema” for geotechnical structure models and a “Plug-In Extension Schema” for three-dimensional (3D) geological models, ultimately forming the basic data system of geotechnical engineering information models based on IFC. Applying extended IFC to the modeling process, the BIM-based modeling method of geotechnical models is proposed. In addition, an IFC-based platform is developed to integrate geological models and structure models for further displaying and analyzing of geotechnical engineering models. The work in this paper provides a feasible way and technical support for promoting the integration and sharing of geotechnical engineering information and enhancing the multiprofessional collaborative work.

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Section: D Geological Modelmentioning

confidence: 99%

Development of Data Integration and Sharing for Geotechnical Engineering Information Modeling Based on IFC

Chen

et al. 2021

Advances in Civil Engineering

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“…If the nodes in the grid satisfy some constraints (known node data, geological structure and etc. ), the values of the location grid points can be obtained by solving linear equations (Ming et al 2010;Song et al 2019).…”

Section: Model Interpolation Algorithmmentioning

confidence: 99%

Dynamic Update Method of Working Face Geological Model Driven by Multi-Source Data

Zaibin

et al. 2021

Preprint

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In order to build a high-precision dynamic geological model to serve the intelligent mining, working face is explored step by step through the comprehensive prospecting technology. A multi-source data fusion method was applied to realize mutual verification, supplement, fusion and interpretation of non-uniform heterogeneous geological data to obtain a high-precision geological data volume. Also, the dynamic update model method was proposed to update 3D geological model of working face quickly so that the accuracy of the geological model can be improved effectively. Furthermore, cutting path planning technology was developed based on the dynamic geological model. The field test showed that the cutting path planning based on the high-precision dynamic geological model can improve the coal mining efficiency and improve the fusion efficiency between geology and coal mining systems. Dynamic update of multi-attribute geological information should be studied and developed to improve the automatic level of mining driven by geological data.

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“…The classification of geological hazards has different angles and criteria, which are extremely complicated. Geological hazards mainly caused by natural variation are called natural geological hazards, while geological hazards caused by human activities are called human geological hazards [23]. As far as the change speed of the geological environment or geological body is concerned, it can be divided into two categories: sudden geological hazards and slow-changing geological hazards.…”

Section: Plos Onementioning

confidence: 99%

Simulation and prediction of geologic hazards and the impacts on homestay buildings in scenery spots through BIM

Zou

Gui

2020

PLoS ONE

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The objectives are exploring the impacts of geologic hazards on the construction of homestays, improving the safety of homestay buildings, guaranteeing the safety of tourists, and enhancing the disaster-resistance of homestays in scenery spots. The computer simulation system and Building Information Modeling (BIM) technology are employed to construct a geologic hazard prediction model for homestays. The model utilizes a time history method to establish a complete early-warning and monitoring system by learning the geologic disaster data. The detection of various geologic hazards has verified the effectiveness of the proposed model. The results show that the model can reduce the losses in the case of water accumulation and landslides during storms, and the BIM technology-based homestay buildings will suffer fewer losses. In the case of earthquakes, BIM technology-based homestay buildings have no noticeable shaking and displacement. Compared to traditional construction methods, the displacement is reduced by 49.15%. In the case of a spontaneous fire, the burning area of the BIM technology-based homestay building is only 270m 2. The most severe factors affecting the construction of homestay buildings are earthquakes and landslide risks. The BIM technology generates 3D building planning; therefore, planners can fully understand the problems in the building. In the meantime, the multi-source monitoring data of multiple geologic hazards can be monitored and fed back, thereby improving the timeliness of early-warning of geologic hazards. The results are of considerable significance to the prevention of losses caused by geologic hazards, which can significantly improve the understanding of geologic hazards.

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A semi-automatic method for 3D modeling and visualizing complex geological bodies

Cited by 24 publications

References 21 publications

Development of Data Integration and Sharing for Geotechnical Engineering Information Modeling Based on IFC

Development of Data Integration and Sharing for Geotechnical Engineering Information Modeling Based on IFC

Dynamic Update Method of Working Face Geological Model Driven by Multi-Source Data

Simulation and prediction of geologic hazards and the impacts on homestay buildings in scenery spots through BIM

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