Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Wenzhe Cai"'
Publikováno v:
Buildings, Vol 14, Iss 1, p 162 (2024)
To investigate the effects of parameters on the seismic performance of slender T-shaped RC walls subjected to a biaxial seismic action, a numerical model was established using a fiber-based cross-section and displacement-based beam–column element.
Externí odkaz:
https://doaj.org/article/115d245256a54fe793770124f5df06c1
Publikováno v:
Advances in Civil Engineering, Vol 2019 (2019)
Sectional deformation quantities, such as curvature and ductility, are of prime significance in the displacement-based seismic design and performance evaluation of structural members. However, few studies on the estimates of curvatures at different l
Externí odkaz:
https://doaj.org/article/b49b2de28a034cbbb86aea471f30e611
Publikováno v:
Advances in Civil Engineering, Vol 2019 (2019)
Inclined concrete-filled steel tube (CFST) columns in a diagrid structure system can efficiently carry large vertical loads and horizontal forces. This paper presents an experimental study of the stress characteristics of engineered inclined CFST col
Externí odkaz:
https://doaj.org/article/3f06d30f6dce426db31944b2e41336ee
Publikováno v:
IEEE Robotics and Automation Letters. 8:3812-3819
Publikováno v:
KSCE Journal of Civil Engineering. 26:4584-4602
Publikováno v:
Applied Intelligence. 53:6195-6213
Publikováno v:
International Conference on Computer Vision, Application, and Algorithm (CVAA 2022).
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-10
Model-based reinforcement learning (RL) is regarded as a promising approach to tackle the challenges that hinder model-free RL. The success of model-based RL hinges critically on the quality of the predicted dynamic models. However, for many real-wor
Publikováno v:
Applied Intelligence.
Publikováno v:
Neurocomputing. 400:86-96
Accuracy and speed are two important aspects of face alignment. One of the main concerns is the trade-off between speed and accuracy. To this end, we propose a novel attention-based deep learning framework consisting of a feature extraction module an