Comparative Analysis and Empirical Study of Prefabrication Rate Calculation Methods for Prefabricated Buildings in Various Provinces and Cities in China
As an important part of the prefabricated building standard system, the evaluation standards for prefabricated buildings play an important guiding role in the construction and development of prefabricated buildings. However, at present, the national evaluation standards for prefabricated buildings a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/13/8/2042 |
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| author | Xizhen Xu Xiaoxin Ding Qun Wang Tiebing Chen Ronghui Deng |
| author_facet | Xizhen Xu Xiaoxin Ding Qun Wang Tiebing Chen Ronghui Deng |
| author_sort | Xizhen Xu |
| collection | DOAJ |
| description | As an important part of the prefabricated building standard system, the evaluation standards for prefabricated buildings play an important guiding role in the construction and development of prefabricated buildings. However, at present, the national evaluation standards for prefabricated buildings are highly extensive and general, and some of their contents are not well considered, while local standards based on the national standard have been formulated in accordance with the actual situation in their respective regions, which makes the evaluation of prefabricated buildings in various regions more confusing, which also causes differences when calculating the prefabrication rate, restricting the development of prefabricated buildings. In order to promote the construction of a complete evaluation standard system for prefabricated buildings in China, this paper combs through the methods used for the calculation of the prefabrication rate of prefabricated buildings in 28 provincial-level administrative regions in China, conducts a comparative analysis and empirical research on the calculation of the prefabrication rate under different standards in four dimensions, and applies <i>t</i>-tests and simulated annealing algorithms to optimize the projection pursuit model to analyze the differences in the total scores of the prefabrication rate under different standards, as well as the key factors that affect them. The study shows that (1) the same building may have different prefabrication rates under different standards for prefabricated buildings, and the way of calculating the prefabrication rate and the scoring criteria of the evaluation items will result in significant differences in the calculated prefabrication rate. (2) Depending on the value of the optimal projection direction vector, it was found that among the evaluation criteria, the enclosure wall and the internal partition wall have the greatest influence on the total score value, while the main structure has the least influence on the total score value. (3) There are similarities as well as differences in the evaluation criteria of prefabricated buildings in each province. On this basis, by analyzing the reasons for these differences, corresponding suggestions are made for governments needing to formulate or revise local standards. |
| first_indexed | 2024-03-11T00:04:07Z |
| format | Article |
| id | doaj.art-29c4307e00ee4a9f8d2bffe28e78d516 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-11T00:04:07Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-29c4307e00ee4a9f8d2bffe28e78d5162023-11-19T00:30:24ZengMDPI AGBuildings2075-53092023-08-01138204210.3390/buildings13082042Comparative Analysis and Empirical Study of Prefabrication Rate Calculation Methods for Prefabricated Buildings in Various Provinces and Cities in ChinaXizhen Xu0Xiaoxin Ding1Qun Wang2Tiebing Chen3Ronghui Deng4School of Economics and Management, Jilin Jianzhu University, Changchun 130119, ChinaSchool of Economics and Management, Jilin Jianzhu University, Changchun 130119, ChinaSchool of Construction Engineering, Shenzhen Polytechnic, Shenzhen 518055, ChinaSchool of Construction Engineering, Shenzhen Polytechnic, Shenzhen 518055, ChinaSchool of Construction Engineering, Shenzhen Polytechnic, Shenzhen 518055, ChinaAs an important part of the prefabricated building standard system, the evaluation standards for prefabricated buildings play an important guiding role in the construction and development of prefabricated buildings. However, at present, the national evaluation standards for prefabricated buildings are highly extensive and general, and some of their contents are not well considered, while local standards based on the national standard have been formulated in accordance with the actual situation in their respective regions, which makes the evaluation of prefabricated buildings in various regions more confusing, which also causes differences when calculating the prefabrication rate, restricting the development of prefabricated buildings. In order to promote the construction of a complete evaluation standard system for prefabricated buildings in China, this paper combs through the methods used for the calculation of the prefabrication rate of prefabricated buildings in 28 provincial-level administrative regions in China, conducts a comparative analysis and empirical research on the calculation of the prefabrication rate under different standards in four dimensions, and applies <i>t</i>-tests and simulated annealing algorithms to optimize the projection pursuit model to analyze the differences in the total scores of the prefabrication rate under different standards, as well as the key factors that affect them. The study shows that (1) the same building may have different prefabrication rates under different standards for prefabricated buildings, and the way of calculating the prefabrication rate and the scoring criteria of the evaluation items will result in significant differences in the calculated prefabrication rate. (2) Depending on the value of the optimal projection direction vector, it was found that among the evaluation criteria, the enclosure wall and the internal partition wall have the greatest influence on the total score value, while the main structure has the least influence on the total score value. (3) There are similarities as well as differences in the evaluation criteria of prefabricated buildings in each province. On this basis, by analyzing the reasons for these differences, corresponding suggestions are made for governments needing to formulate or revise local standards.https://www.mdpi.com/2075-5309/13/8/2042prefabricated buildingprefabrication rateevaluation criteriasimulated annealing algorithmprojection pursuit method |
| spellingShingle | Xizhen Xu Xiaoxin Ding Qun Wang Tiebing Chen Ronghui Deng Comparative Analysis and Empirical Study of Prefabrication Rate Calculation Methods for Prefabricated Buildings in Various Provinces and Cities in China Buildings prefabricated building prefabrication rate evaluation criteria simulated annealing algorithm projection pursuit method |
| title | Comparative Analysis and Empirical Study of Prefabrication Rate Calculation Methods for Prefabricated Buildings in Various Provinces and Cities in China |
| title_full | Comparative Analysis and Empirical Study of Prefabrication Rate Calculation Methods for Prefabricated Buildings in Various Provinces and Cities in China |
| title_fullStr | Comparative Analysis and Empirical Study of Prefabrication Rate Calculation Methods for Prefabricated Buildings in Various Provinces and Cities in China |
| title_full_unstemmed | Comparative Analysis and Empirical Study of Prefabrication Rate Calculation Methods for Prefabricated Buildings in Various Provinces and Cities in China |
| title_short | Comparative Analysis and Empirical Study of Prefabrication Rate Calculation Methods for Prefabricated Buildings in Various Provinces and Cities in China |
| title_sort | comparative analysis and empirical study of prefabrication rate calculation methods for prefabricated buildings in various provinces and cities in china |
| topic | prefabricated building prefabrication rate evaluation criteria simulated annealing algorithm projection pursuit method |
| url | https://www.mdpi.com/2075-5309/13/8/2042 |
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