亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

BIM-Based Tunnel Information Modeling Framework for Visualization, Management, and Simulation of Drill-and-Blast Tunneling Projects

建筑信息建模 演习 工程类 施工管理 过程(计算) 背景(考古学) 建筑工程 水力发电 数据管理 信息模型 计算机科学 系统工程 土木工程 软件工程 数据挖掘 机械工程 古生物学 电气工程 相容性(地球化学) 化学工程 生物 操作系统
作者
Abubakar Sharafat,Muhammad Shoaib Khan,Kamran Latif,Jongwon Seo
出处
期刊:Journal of Computing in Civil Engineering [American Society of Civil Engineers]
卷期号:35 (2) 被引量:71
标识
DOI:10.1061/(asce)cp.1943-5487.0000955
摘要

Tunnel construction fundamentally differs from building and aboveground civil infrastructure projects. Drill-and-blast is one of the most common and flexible tunnel construction methods. However, it is complex and challenging because a large amount of data is generated from dispersed, independent, and heterogeneous sources. The tunneling industry still uses traditional project management techniques to manage complex interactions between these data sources that are hardly linked, and independent decisions are often made without considering all the relevant aspects. In this context, tunnel construction exhibits uncertainties and risks due to unforeseen circumstances, intricate design, and ineffective information management. Building information modeling (BIM) in the construction industry provides a solution to such issues with effective data information modeling. Existing research has considered a very general BIM semantic model and focused only a small portion of the entire drill-and-blast construction process. Tunnel boring machine (TBM) projects have successfully applied linked data models and multimodel concepts in BIM, but those technologies have yet to be adopted in drill-and-blast tunneling. To address that gap, a novel BIM-based multimodel tunnel information modeling (TIM) framework is presented here to improve project management, construction, and delivery by integrating five interlinked data models and project performance data for drill-and-blast tunnel construction. Data models of tunnel construction processes are linked to propose the Industry Foundation Classes (IFC)-Tunnel classes based on the objects, relationships, and property set definitions of the IFC schema. To validate the proposed framework, an implementation case study of a hydropower tunneling project is presented. The results indicate that the framework facilitates data sharing, information integration, data accessibility, design optimization, project communication, efficient project management, and visualization of tunnel design and construction processes.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
19秒前
天天快乐应助无端采纳,获得10
21秒前
23秒前
24秒前
求你了发布了新的文献求助10
24秒前
lan发布了新的文献求助10
28秒前
32秒前
skotrie189完成签到,获得积分10
36秒前
38秒前
40秒前
无端发布了新的文献求助10
45秒前
充电宝应助科研通管家采纳,获得10
49秒前
1分钟前
朴BOSS完成签到,获得积分10
1分钟前
科研通AI2S应助陶醉之玉采纳,获得20
1分钟前
文艺烧鹅发布了新的文献求助10
1分钟前
无端发布了新的文献求助10
1分钟前
完美世界应助文艺烧鹅采纳,获得10
1分钟前
科目三应助无端采纳,获得10
2分钟前
俏皮含双完成签到,获得积分10
2分钟前
朴BOSS完成签到,获得积分10
2分钟前
科研通AI6.1应助子非鱼采纳,获得10
2分钟前
2分钟前
Akim应助hzc采纳,获得10
2分钟前
子非鱼发布了新的文献求助10
2分钟前
loii应助科研通管家采纳,获得10
2分钟前
2分钟前
无端发布了新的文献求助10
2分钟前
3分钟前
zhangchen123完成签到,获得积分10
3分钟前
3分钟前
文艺烧鹅发布了新的文献求助10
3分钟前
Alice完成签到 ,获得积分10
3分钟前
SciGPT应助文艺烧鹅采纳,获得10
3分钟前
无端发布了新的文献求助10
3分钟前
3分钟前
hzc发布了新的文献求助10
3分钟前
3分钟前
4分钟前
4分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6518835
求助须知:如何正确求助?哪些是违规求助? 8311580
关于积分的说明 17769812
捐赠科研通 5620905
什么是DOI,文献DOI怎么找? 2926557
邀请新用户注册赠送积分活动 1903369
关于科研通互助平台的介绍 1764108