Advancements in digital twin modeling for underground spaces and lightweight geometric modeling technologies

Automation in Construction, Год журнала: 2024, Номер 165, С. 105578 - 105578

Опубликована: Июнь 24, 2024

Язык: Английский

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Three-Dimensional Geological Modelling in Earth Science Research: An In-Depth Review and Perspective Analysis

Minerals, Год журнала: 2024, Номер 14(7), С. 686 - 686

Опубликована: Июнь 29, 2024

This study examines the development trajectory and current trends of three-dimensional (3D) geological modelling. In recent years, due to rising global energy demand increasing frequency regional disasters, significant progress has been made in this field. The purpose is clarify potential complexity 3D modelling, identify persistent challenges, propose avenues for improvement. main objectives include simplifying modelling process, improving model accuracy, integrating different data sources, quantitatively evaluating parameters. integrates research field, focusing on latest breakthroughs applications mineral exploration, engineering geology, disaster assessment, military geosciences. For example, unmanned aerial vehicle (UAV) tilt photography technology, multisource fusion, method based machine learning, etc. By identifying areas improvement making recommendations, work aims provide valuable insights guide future toward a more comprehensive accurate “Transparent Earth”. review underscores highlighting its crucial role across various sectors such as oil gas industry, urban planning, hazard geoscientific research. emphasizes sector-specific importance technology enhancing accuracy efficiency, optimizing resource management, driving technological innovation, response capabilities. These understanding how can significantly impact benefit multiple industries worldwide.

Язык: Английский

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Use of GIS and BIM for the integration of tunnel design and construction process in conventional tunneling

Underground Space, Год журнала: 2024, Номер 16, С. 261 - 278

Опубликована: Янв. 4, 2024

This paper presents the development of a framework for parametric design tunnels using geographic information system (GIS) mapping and building modelling (BIM). According to framework, representation each component (e.g., layers rock mass, size excavation, topography, fault geometry, primary lining, secondary bolts, etc.) can be incorporated in GIS model with high levels detail used automatic generation numerical models tunnel construction. evaluation allows designer consider several component, efficient process optimization conventional tunneling. Information between analysis simulations freely exchanged significantly reduced computational effort while results exported into BIM. It is anticipated that proposed could lead comprehensive, yet complex tunneling project evaluations at early stages.

Язык: Английский

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Extended IFC-based information exchange for construction management of roller-compacted concrete dam

Automation in Construction, Год журнала: 2024, Номер 163, С. 105427 - 105427

Опубликована: Май 2, 2024

Язык: Английский

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Digital twins for urban underground space

Tunnelling and Underground Space Technology, Год журнала: 2024, Номер 155, С. 106140 - 106140

Опубликована: Окт. 23, 2024

Язык: Английский

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Optimizing Residential Construction Site Selection in Mountainous Regions Using Geospatial Data and eXplainable AI

Sustainability, Год журнала: 2024, Номер 16(10), С. 4235 - 4235

Опубликована: Май 17, 2024

The rapid urbanization of Abha and its surrounding cities in Saudi Arabia’s mountainous regions poses challenges for sustainable secure development. This study aimed to identify suitable sites eco-friendly safe building complexes amidst complex geophysical, geoecological, socio-economic factors, integrating natural hazards assessment risk management. Employing the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP), constructed a suitability model incorporating sixteen parameters. Additionally, Deep Neural Network (DNN) based on eXplainable Artificial Intelligence (XAI) conducted sensitivity analyses assess parameters’ influence optimal location decision making. results reveal slope as most crucial parameter (22.90%), followed by altitude land use/land cover (13.24%), emphasizing topography environmental considerations. Drainage density (11.36%) rainfall patterns (9.15%) are also significant flood defense water Only 12.21% area is deemed “highly suitable”, with “no-build zones” designated safety protection. DNN-based XAI demonstrates positive impact variables like NDVI municipal solid waste generation site selection, informing management ecological preservation strategies. integrated methodology provides actionable insights residential development Abha, aiding informed making balancing urban expansion conservation hazard reduction.

Язык: Английский

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Sketch-Based Feature Fusion and Complement For Robust Sketch-to-Voxel Reconstruction

Опубликована: Янв. 1, 2025

Reconstructing 3D models from a single image remains challenges in computer graphics and vision, especially when dealing with free-hand sketches. Fragmented strokes distorted lines often introduce ambiguities, leading to that deviate the intended shape. Moreover, variations sketching styles frequently result incomplete object representations. To address above challenges, we present sketch-orientated Autoencoder SkFC-AE for high-quality voxelized model reconstruction. Our approach features Dual-space Feature Encoding mechanism, which extracts sketch semantics both space geometric using Local Image Encoder (LIE), Global (GIE) Points (GPE) respectively.To explore details common appearance of sketches, two additional modules Fusion Module (FFM) Complement (FCM) are proposed fuse create detailed embeddings complement them derived prior.Extensive experiments on public sketch-to-voxel benchmarks, i.e., Sketch-Voxel ShapeNet ModelNet-Canny, demonstrate our significantly outperforms state-of-the-art terms reconstruction quality detail preservation.

Язык: Английский

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Simulating excavation processes for large-scale underground geological models using dynamic Boolean operations with spatial hash indexing and multiscale point clouds

Automation in Construction, Год журнала: 2025, Номер 171, С. 105966 - 105966

Опубликована: Янв. 18, 2025

Язык: Английский

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A case study on integrating data analysis and process mining in conventional tunnel construction

Developments in the Built Environment, Год журнала: 2025, Номер unknown, С. 100640 - 100640

Опубликована: Март 1, 2025

Язык: Английский

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Research on the Visualization of Railway Signal Operation and Maintenance Based on BIM + GIS

Sensors, Год журнала: 2023, Номер 23(13), С. 5984 - 5984

Опубликована: Июнь 28, 2023

To adapt to the “fine” and “extensive” management characteristics of railway signal equipment operation maintenance, achieving real-time interactive monitoring status, developing an integrated approach this paper takes a comprehensive perspective. create lightweight BIM model, Garland folding algorithm is utilized simplify IFC file format. Building on approach, data are divided based building component division standards obtain separate files containing geometric information semantic attributes. The converted 3D Tiles format, combining attributes with attribute through intermediate Dynamic achieved by setting octree space index structure in combination view-frustum culling algorithm. Then, target imported into Cesium platform, Node.js used achieve three-dimensional visualization maintenance. proposed method verified using inbound as example assess its feasibility. results demonstrate potential stable integration between full lifecycle maintenance GIS geographical display. Railway endowed one-click query functions for positioning spatial analysis, improving efficiency scientific decision-making level

Язык: Английский

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