Deep Q-learning agent for building earthquake resisting wall

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We present a reinforcement learning framework for constructing assemblies composed of rigid parts, which are commonly seen in many historical masonry buildings and bridges. Traditional construction methods for such structures often depend on dense scaffold ...

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The seismic damage of masonry walls is reflected in cracks that tend to start at the head and bed joints and subsequently propagates through the masonry units. In this regard, the horizontal-to-vertical compressive strength ratio of bricks might have the a ...

Image information about the state of a building after an earthquake, which can be collected without endangering the post-earthquake reconnaissance activities, can be used to reduce uncertainties in response predictions for future seismic events. This paper ...

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In this paper, we present a new method for upcycling concrete rubble waste into slender walls through the lightweight digital augmentation of mainstream construction machines. By using such method, the environmental impact of concrete construction and demo ...

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Deep Q-learning agent for building earthquake resisting wall

Chat with Graph Search

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