Name
Abstract | ||
|---|---|---|
In general, the aseismic ability of buildings is analyzed using nonlinear models. To obtain aseismic abilities of buildings, numerical models are constructed based on the structural configuration and material properties of buildings, and their stress responses and behaviors are simulated. This method is complex, time-consuming, and should only be conducted by professionals. In the past, soft computing techniques have been applied in the construction field to predict the particular stress responses and behaviors; however, only a few studies have been made to predict specific properties of entire buildings. In this study, a weighted genetic programming system is developed to construct the relation models between the aseismic capacity of school buildings, and their basic design parameters. This is based on information from the database of school buildings, as well as information regarding the aseismic capacity of school buildings analyzed using complete nonlinear methods. This system can be further applied to predict the aseismic capacity of the school buildings. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.engappai.2012.04.002 | Eng. Appl. of AI |
Keywords | Field | DocType |
nonlinear model,school building,weighted genetic programming system,aseismic capacity,particular stress response,complete nonlinear method,aseismic ability,construction field,basic design parameter,stress response,soft computing,genetic algorithm,prediction,genetic programming | Nonlinear system,Numerical models,Computer science,Nonlinear methods,Genetic programming,Artificial intelligence,Soft computing,Machine learning,Genetic algorithm | Journal |
Volume | Issue | ISSN |
25 | 6 | 0952-1976 |
Citations | PageRank | References |
2 | 0.64 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hung-Ming Chen | 1 | 493 | 59.19 |
| Wei-Ko Kao | 2 | 4 | 1.06 |
| Hsing-Chih Tsai | 3 | 191 | 14.26 |