A well-implemented production planning improves and facilitates the production of site-built constructions. The construction industry has in recent years had a reduced productivity, despite the fact that several new programs have been developed that can improve the production planning process. The report investigate whether 4D-modeling can be used as a planning tool to accelerate and optimize the operation of site-built concrete frameworks, as well as to determine if the casting system is optimal and / or improved. To investigate this, four research questions have been answered. These questions are: Can 4D-modeling be used to improve the planning of concrete-built frameworks, Can 4D-modeling be used to optimize workplace activities, How to measure the concrete's strength before formwork is removed and How can 4D-simulation support production follow-up? In order to achieve the purpose and answer the research questions, literature in the field has been gathered together with data collection from a case study obtained from study visits at the construction site. The result shows that the estimated strength obtained from the temperature sensors in Vema Distant are relatively equal to the calculated strength from the planning production software PPB. Using 4D to visualize the concrete curing process the site manager can easily plan and follow-up when the formwork for the concrete walls and the shoring of the concrete slabs can be removed. The conclusion is that 4D-simulation will lead to a better overview of the project where a company can optimize production activities such as reinforcement, formwork, concrete casting and removl of formwork. This can lead to a shortened construction time, however, the curing time of the concrete must be taken into consideration to shorten the construction time further. 4D-simulation at the planning stage, together with steam-hardened concrete and heat exchanger / heat fans, can shorten the construction time considerably during the winter. Higher strength classes may also be an option to speed up the curing rate. As the model remains after a project, it is easy to go back and investigate how the final time schedule is in line with the planned time schedule. If the difference is large, a company can detect bottlenecks and find solutions for the next project.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-72032 |
| Date | January 2019 |
| Creators | Jelleryd, Hampus, Jelleryd, Felix |
| Publisher | Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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