DISSERTATION

Seismic Retrofit of Reinforced Concrete Shear Walls using Fibre Reinforced Polymer Composites

Hossam El-Sokkary

Year: 2012 University:   Brain and nerve = Shinkei kenkyu no shinpo Vol: 66 (6)Pages: 647-53

Abstract

In this paper, we introduced the temporal and information representation properties of the human mirror neuron system (MNS) that have been revealed by using noninvasive imaging techniques (magnetic resonance imaging (MRI), positron emission tomography (PET), and noninvasive brain stimulation such as transcranial magnetic stimulation (TMS) or electrical stimulation). Next, we discussed the neural networks involved in action understanding and affordance. In this paper, we especially emphasized the role of MNS in prediction and action recognition, and introduced recent brain theories and a neural network model, based on several MNS properties, including the prediction function, the free energy principle, and the minimization of prediction error.

Keywords:
Shear wall Earthquake shaking table Structural engineering Reinforced concrete Fibre-reinforced plastic Shear (geology) Vibration Plastic hinge Hinge Seismic retrofit Seismic analysis Materials science Engineering Geotechnical engineering Composite material

Metrics

7
Cited By
0.97
FWCI (Field Weighted Citation Impact)
39
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Structural Behavior of Reinforced Concrete
Physical Sciences →  Engineering →  Building and Construction
Seismic Performance and Analysis
Physical Sciences →  Engineering →  Civil and Structural Engineering
Innovative concrete reinforcement materials
Physical Sciences →  Engineering →  Civil and Structural Engineering
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