Name
Title | ||
|---|---|---|
Evolutionary learning based sustainable strain sensing model for structural health monitoring of high-rise buildings. |
Abstract | ||
|---|---|---|
•Sustainable strain-sensing model is proposed for long-term monitoring of wind-induced responses of high-rise buildings.•Evolutionary radial basis function neural network (ERBFN) is developed as a new ANN model.•A wind tunnel test was performed to produce wind data and strains in column members in a high-rise building model.•The proposed model can build a relationship between the wind data and wind-induced responses of high-rise buildings. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.asoc.2017.05.029 | Applied Soft Computing |
Keywords | Field | DocType |
Radial basis function neural network,Strain sensing,Safety management,Structural health monitoring,High-rise building | Data logger,Mathematical optimization,Wind speed,Structural health monitoring,Durability,Building model,Artificial neural network,Gaussian function,Mathematics,Genetic algorithm,Structural engineering | Journal |
Volume | ISSN | Citations |
58 | 1568-4946 | 3 |
PageRank | References | Authors |
0.41 | 13 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Byung Kwan Oh | 1 | 31 | 4.58 |
| Jin Kyu Kim | 2 | 434 | 17.53 |
| Yousok Kim | 3 | 3 | 0.75 |
| Hyo Seon Park | 4 | 97 | 11.69 |
| Hojjat Adeli | 5 | 2150 | 148.37 |