Automated Prefabricated Slab Splitting Design Using a Multipopulation Coevolutionary Algorithm and BIM
The prefabricated composite slab (PCS) is an essential horizontal component in a building, which is made of a precast part and a cast-in-place concrete layer. In practice, the floor should be split into many small PCSs for the convenience of manufacturing and installation. Currently, the splitting d...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/14/2/433 |
| _version_ | 1797298723505569792 |
|---|---|
| author | Chengran Xu Xiaolei Zheng Zhou Wu Chao Zhang |
| author_facet | Chengran Xu Xiaolei Zheng Zhou Wu Chao Zhang |
| author_sort | Chengran Xu |
| collection | DOAJ |
| description | The prefabricated composite slab (PCS) is an essential horizontal component in a building, which is made of a precast part and a cast-in-place concrete layer. In practice, the floor should be split into many small PCSs for the convenience of manufacturing and installation. Currently, the splitting design of PCS mostly relies on sound knowledge and valuable experience of construction. While rule-based parametric design tools using building information modeling (BIM) can facilitate PCS splitting, the generated solution is suboptimal and limited. This paper presents an intelligent BIM-based framework to automatically complete the splitting design of PCSs. A collaborative optimization model is formulated to minimize the composite costs of manufacturing and installation. Individuals with similar area information are grouped into a subpopulation, and the optimization objective is to minimize the specifications and quantities of PCSs. Through the correlation information within the subpopulation and the shared information among each other, the variable correlation is eliminated to accomplish the task of collaborative optimization. The multipopulation coevolution particle swarm optimization (PSO) algorithm is implemented for the collaborative optimization model to determine the sizes and positions of all PCSs. The proposed framework is applied in the optimized splitting design of PCSs in a standard floor to demonstrate its practicability and efficiency. |
| first_indexed | 2024-03-07T22:40:08Z |
| format | Article |
| id | doaj.art-e2d8d3ecba9042dd9dc6a03e6f38c0d8 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-07T22:40:08Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-e2d8d3ecba9042dd9dc6a03e6f38c0d82024-02-23T15:10:13ZengMDPI AGBuildings2075-53092024-02-0114243310.3390/buildings14020433Automated Prefabricated Slab Splitting Design Using a Multipopulation Coevolutionary Algorithm and BIMChengran Xu0Xiaolei Zheng1Zhou Wu2Chao Zhang3College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310024, ChinaSchool of Automation, Chongqing University, Chongqing 400044, ChinaSchool of Automation, Chongqing University, Chongqing 400044, ChinaSchool of Civil Engineering, Chongqing University, Chongqing 400044, ChinaThe prefabricated composite slab (PCS) is an essential horizontal component in a building, which is made of a precast part and a cast-in-place concrete layer. In practice, the floor should be split into many small PCSs for the convenience of manufacturing and installation. Currently, the splitting design of PCS mostly relies on sound knowledge and valuable experience of construction. While rule-based parametric design tools using building information modeling (BIM) can facilitate PCS splitting, the generated solution is suboptimal and limited. This paper presents an intelligent BIM-based framework to automatically complete the splitting design of PCSs. A collaborative optimization model is formulated to minimize the composite costs of manufacturing and installation. Individuals with similar area information are grouped into a subpopulation, and the optimization objective is to minimize the specifications and quantities of PCSs. Through the correlation information within the subpopulation and the shared information among each other, the variable correlation is eliminated to accomplish the task of collaborative optimization. The multipopulation coevolution particle swarm optimization (PSO) algorithm is implemented for the collaborative optimization model to determine the sizes and positions of all PCSs. The proposed framework is applied in the optimized splitting design of PCSs in a standard floor to demonstrate its practicability and efficiency.https://www.mdpi.com/2075-5309/14/2/433prefabricated composite slabssplitting designbuilding information modelingmultipopulation coevolutionary algorithmcollaborative optimization |
| spellingShingle | Chengran Xu Xiaolei Zheng Zhou Wu Chao Zhang Automated Prefabricated Slab Splitting Design Using a Multipopulation Coevolutionary Algorithm and BIM Buildings prefabricated composite slabs splitting design building information modeling multipopulation coevolutionary algorithm collaborative optimization |
| title | Automated Prefabricated Slab Splitting Design Using a Multipopulation Coevolutionary Algorithm and BIM |
| title_full | Automated Prefabricated Slab Splitting Design Using a Multipopulation Coevolutionary Algorithm and BIM |
| title_fullStr | Automated Prefabricated Slab Splitting Design Using a Multipopulation Coevolutionary Algorithm and BIM |
| title_full_unstemmed | Automated Prefabricated Slab Splitting Design Using a Multipopulation Coevolutionary Algorithm and BIM |
| title_short | Automated Prefabricated Slab Splitting Design Using a Multipopulation Coevolutionary Algorithm and BIM |
| title_sort | automated prefabricated slab splitting design using a multipopulation coevolutionary algorithm and bim |
| topic | prefabricated composite slabs splitting design building information modeling multipopulation coevolutionary algorithm collaborative optimization |
| url | https://www.mdpi.com/2075-5309/14/2/433 |
| work_keys_str_mv | AT chengranxu automatedprefabricatedslabsplittingdesignusingamultipopulationcoevolutionaryalgorithmandbim AT xiaoleizheng automatedprefabricatedslabsplittingdesignusingamultipopulationcoevolutionaryalgorithmandbim AT zhouwu automatedprefabricatedslabsplittingdesignusingamultipopulationcoevolutionaryalgorithmandbim AT chaozhang automatedprefabricatedslabsplittingdesignusingamultipopulationcoevolutionaryalgorithmandbim |