arrow
返回

Configurable model for real-time crane erection visualization

delete2013-11-01
delete13
PRE
AI
W
Wei-Han Hung
S
Shih-Chung Kang *
DOI:10.1016/j.advengsoft.2013.04.013delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Detailed simulation and visualization of crane activities have been recently introduced to help engineers identify potential problems with critical erection tasks; however, the development of real-time erection visualizations for different types of cranes and lifting objects is time-consuming, and usually requires a certain amount of effort in modeling and setting up the environment. This research proposes a configurable model which is reusable, fast-prototyping, and extendable to support real-time visualization of the erection process. The developed model of the crane is divided into three modules which can be reconfigured for different erection tasks. Each module is defined using multiple rigid bodies and the joint constraints of multibody dynamics. The proposed modeling method can also be easily adapted to existing physics engines. To evaluate the feasibility of the proposed method, we observed the processes involved in a common erection activity and compared this with the visualization results obtained using proposed method. We also simulated a cooperative cranes scenario taken from an actual construction project to demonstrate its usability. We found that the proposed modeling method was easily able to visualize various erection activities with different cranes and configurations. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Crane
Cooperative
Erection
Multibody
Physics Engine
Simulation
Visualization
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Advances in Engineering Software 封面图
Advances in Engineering Software
IF:
5.7
论文数:
3.4K
被引数:
1.2W

机构

N
National Taiwan University
学者数:
4.7W
论文数: 4.2W
被引数: 3.6W
引用论文

引用论文

err分享
err收藏
Compartmented cells in the mesophyll of Araucaria angustifolia (Araucariaceae)
err2003-01-01
err0
PREAI
errAlexandra A. Mastroberti; Jorge Ernesto de Araujo Mariath
err分享
err收藏
Leak detection method using energy dissipation model in a pressurized pipeline
err2020-12-22
err0
PREAI
errYohei Asada; Masaomi Kimura; Issaku Azechi; Toshiaki Iida; Naritaka Kubo
err分享
err收藏
Mycorrhiza of Brazil Pine (Araucaria angustifolia [Bert. O. Ktze.])
err2008-02-14
err0
PREAI
errMagdalena Breuninger; W. Einig; E. Magel; E. Cardoso; R. Hampp
err分享
err收藏
学者 查看更多内容