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- Publisher Website: 10.1016/j.autcon.2021.103854
- Scopus: eid_2-s2.0-85111332957
- WOS: WOS:000692786400001
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Article: Virtual reality supported interactive tower crane layout planning for high-rise modular integrated construction
Title | Virtual reality supported interactive tower crane layout planning for high-rise modular integrated construction |
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Authors | |
Keywords | High-rise building Human-in-the-loop simulation Modular integrated construction (MiC) Tower crane layout planning (TCLP) Virtual reality (VR) |
Issue Date | 2021 |
Citation | Automation in Construction, 2021, v. 130, article no. 103854 How to Cite? |
Abstract | Tower crane layout planning (TCLP) is critical to achieving safe and efficient module installation for high-rise modular integrated construction (MiC). Nevertheless, the existing TCLP methods are inefficient in addressing the multiple heavy lifts in high-rise MiC. Therefore, this paper aims to develop an innovative virtual reality (VR) tool to support main contractors in selecting the optimal tower crane layout plan for high-rise MiC. The paper adopts the design science methodology for tool development and evaluation. The tool is designed with three functional components, i.e., crane layout generation with real-time feasibility checking, layout selection using multi-criteria performance evaluation, and interactive crane-lift simulation. Using a real-life high-rise MiC project, the tool is proved to be innovative in interactive human-in-the-loop planning, effective in determining the safe and efficient crane layout, and efficient in use. The work described integrates human-in-the-loop simulation and multi-criteria decision-making via VR technologies. |
Persistent Identifier | http://hdl.handle.net/10722/320205 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhang, Z | - |
dc.contributor.author | Pan, W | - |
dc.date.accessioned | 2022-10-21T07:48:55Z | - |
dc.date.available | 2022-10-21T07:48:55Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Automation in Construction, 2021, v. 130, article no. 103854 | - |
dc.identifier.uri | http://hdl.handle.net/10722/320205 | - |
dc.description.abstract | Tower crane layout planning (TCLP) is critical to achieving safe and efficient module installation for high-rise modular integrated construction (MiC). Nevertheless, the existing TCLP methods are inefficient in addressing the multiple heavy lifts in high-rise MiC. Therefore, this paper aims to develop an innovative virtual reality (VR) tool to support main contractors in selecting the optimal tower crane layout plan for high-rise MiC. The paper adopts the design science methodology for tool development and evaluation. The tool is designed with three functional components, i.e., crane layout generation with real-time feasibility checking, layout selection using multi-criteria performance evaluation, and interactive crane-lift simulation. Using a real-life high-rise MiC project, the tool is proved to be innovative in interactive human-in-the-loop planning, effective in determining the safe and efficient crane layout, and efficient in use. The work described integrates human-in-the-loop simulation and multi-criteria decision-making via VR technologies. | - |
dc.language | eng | - |
dc.relation.ispartof | Automation in Construction | - |
dc.subject | High-rise building | - |
dc.subject | Human-in-the-loop simulation | - |
dc.subject | Modular integrated construction (MiC) | - |
dc.subject | Tower crane layout planning (TCLP) | - |
dc.subject | Virtual reality (VR) | - |
dc.title | Virtual reality supported interactive tower crane layout planning for high-rise modular integrated construction | - |
dc.type | Article | - |
dc.identifier.email | Pan, W: wpan@hku.hk | - |
dc.identifier.authority | Pan, W=rp01621 | - |
dc.identifier.doi | 10.1016/j.autcon.2021.103854 | - |
dc.identifier.scopus | eid_2-s2.0-85111332957 | - |
dc.identifier.hkuros | 340497 | - |
dc.identifier.volume | 130 | - |
dc.identifier.spage | article no. 103854 | - |
dc.identifier.epage | article no. 103854 | - |
dc.identifier.isi | WOS:000692786400001 | - |