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Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
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Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone
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Three-Dimensional Engine-Based Geometric Model Optimization Algorithm for BIM Visualization with Augmented Reality.

Pa Pa Win Aung1, Woonggyu Choi1, Almo Senja Kulinan1

  • 1Department of Global Smart City, Sungkyunkwan University, Suwon 16419, Korea.

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|October 14, 2022
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Summary
This summary is machine-generated.

This study introduces a mesh reconstruction algorithm to optimize Building Information Modeling (BIM) data for augmented reality (AR). The method significantly reduces model size and processing time, enhancing AR visualization efficiency in construction.

Keywords:
3D engineaugmented reality (AR)building information modeling (BIM)geometric model optimizationmesh reconstruction

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Area of Science:

  • Construction Technology
  • Computer Graphics
  • Information Management

Background:

  • Building Information Modeling (BIM) is widely used in construction for information processing.
  • Integrating BIM with Augmented Reality (AR) offers project lifecycle solutions but faces challenges with large model data transfer and rendering efficiency.
  • Large BIM models require substantial storage, increase transfer times, and burden AR device processing.

Purpose of the Study:

  • To propose a 3D engine-based mesh reconstruction algorithm for pre-processing BIM data.
  • To enable efficient AR-based full-size model visualization by optimizing geometric data.
  • To enhance decision-making and project processing efficiency in construction management.

Main Methods:

  • Development of a mesh reconstruction algorithm utilizing a 3D engine.
  • Pre-processing of Building Information Modeling (BIM) shape data.
  • Implementation of the optimized model for AR-based full-size visualization.

Main Results:

  • Significant reduction in the number of vertices, triangles, and storage space for geometric models.
  • Preservation of the overall shape and visual quality of original BIM model components.
  • Demonstrated reduction in data processing workload and improved visualization efficiency for AR devices.

Conclusions:

  • The proposed mesh reconstruction algorithm effectively optimizes BIM models for AR applications.
  • The optimization enhances visualization performance on AR devices without compromising visual fidelity.
  • This approach is expected to improve efficiency in construction management decision-making and project processing.