Prediction of pile settlement using artificial neural networks based on standard penetration test data   总被引：4，自引：0，他引：4  

F. Pooya Nejad  Mark B. Jaksa  M. Kakhi  Bryan A. McCabe 《Computers and Geotechnics》2009,36(7):1125-1133

In recent years artificial neural networks (ANNs) have been applied to many geotechnical engineering problems with some degree of success. With respect to the design of pile foundations, accurate prediction of pile settlement is necessary to ensure appropriate structural and serviceability performance. In this paper, an ANN model is developed for predicting pile settlement based on standard penetration test (SPT) data. Approximately 1000 data sets, obtained from the published literature, are used to develop the ANN model. In addition, the paper discusses the choice of input and internal network parameters which were examined to obtain the optimum model. Finally, the paper compares the predictions obtained by the ANN with those given by a number of traditional methods. It is demonstrated that the ANN model outperforms the traditional methods and provides accurate pile settlement predictions.  相似文献   

Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City,China     

Xie  Wei  Nie  Wen  Saffari  Pooya  Robledo  Luis F.  Descote  Pierre-Yves  Jian  Wenbin 《Natural Hazards》2021,109(1):931-948

Natural Hazards - Landslide hazard assessment is critical for preventing and mitigating landslide disasters. The tuning of hyperparameters is of great importance to achieve better accuracy in a...  相似文献   

Topology optimization of shear wall structures under seismic loading     

Zakian  Pooya  Kaveh  Ali 《地震工程与工程振动(英文版)》2020,19(1):105-116

A topology optimization formulation is developed to find the stiffest structure with desirable material distribution subjected to seismic loads. Finite element models of the structures are generated and the optimality criteria method is modified using a simple penalty approach and introducing fictitious strain energy to simultaneously consider both material volume and displacement constraints. Different types of shear walls with/without opening are investigated. Additionally, the effects of shear wall-frame interaction for single and coupled shear walls are studied. Gravity and seismic loads are applied to the shear walls so that the definitions provide a practical approach for locating the critical parts of these structures. The results suggest new viewpoints for architectural and structural engineering for placement of openings.  相似文献