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The practice of tying individual transverse bars to other reinforcement in order to reinforce these shear surfaces, even if done reasonably simply, is costly and labor intensive.
This study examined design parameters, including the embedment depth-to-stud diameter ratio (hef/d), panel thickness, and supplementary reinforcement, in order to propose effective reinforcing methods to prevent premature failure such as pry-out failure.
Thus, the stope needed additional reinforcement in order to remove the remaining ore.
All the slabs had a relatively high conventional flexural reinforcement in order to promote the occurrence of punching failure mode.
This study conducted axial compressive tests on concrete cylinders confined by dense reinforcement in order to improve the effectiveness of the dense lateral reinforcement.
The final purpose of the model is to compute the reduction of the concrete section and the area of steel reinforcement in order to assess the change of structural capacity with time.
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In the current study, a simple analytical model is proposed to calculate the required prestressing level in the CFRP reinforcements in order to arrest the propagation of an existing fatigue crack in tensile steel members.
A steady-state creep model of a metal matrix composite was proposed considering the accommodation processes of the misfit strain between the matrix and reinforcements in order to comprehensively explain dispersion strengthening, composite strengthening and composite weakening.
Edgewise and flatwise compression was performed on hybrid sandwich composite specimens with internal tube reinforcements, in order to evaluate the load-carrying capacity and energy absorption capability of such composite structures and provide data related to panel design for crashworthiness applications.
The reinforcements that were sent to the Muslims at Yarmouk arrived in small bands, giving the impression of a continuous stream of reinforcements, in order to demoralize the Byzantines and compel them to attack.
This course covers the fundamentals of deep reinforcement learning: the use of neural networks in the context of reinforcement learning in order to build agents that takes action based on raw sensory information extract from the environment they operate in.
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