A simple physically-based model for the abrasive wear of composite materials is presented based on the mechanics and mechanisms associated with sliding wear in soft (ductile)matrix composites containing hard (brittle) reinforcement particles. The model is based on the assumption that any portion of the reinforcement that is removed as wear debris cannot contribute to the wear resistance of the ...

The assembly process of “pile-column integration” is proposed in this study and applied the engineering with characteristics that most pile foundations are end-bearing piles, which conducive to returning normal operation transportation infrastructure a timely manner. From perspective practical application, bridge structure components, including column cap beam, reasonably designed prefabricated...

The robustness of a structural systems is understood as their ability to prevent or reduce the consequences local (exceptional and/or extreme) event. current work aims address issues related evaluation structures with incorporated damage. case study an existing reinforced concrete arch bridge investigated in terms considering variation both cracking state from spalling and corrosion reinforceme...

Reinforcement learning has its origin from the animal learning theory. RL does not require prior knowledge but can autonomously get optional policy with the help of knowledge obtained by trial-and-error and continuously interacting with the dynamic environment. Due to its characteristics of self improving and online learning, reinforcement learning has become one of intelligent agent’s core tec...

Applying end-to-end learning to solve complex, interactive, pixel-driven control tasks on a robot is an unsolved problem. Deep Reinforcement Learning algorithms are too slow to achieve performance on a real robot, but their potential has been demonstrated in simulated environments. We propose using progressive networks to bridge the reality gap and transfer learned policies from simulation to t...

Our ability to learn from the outcomes of our actions and to adapt our decisions accordingly changes over the course of the human lifespan. In recent years, there has been an increasing interest in using computational models to understand developmental changes in learning and decision-making. Moreover, extensions of these models are currently applied to study socio-emotional influences on learn...

this article presents the seismic vulnerability assessment of the s. joão de loure bridge, inportugal. the single span steel bridge has riveted joints, commonly affected by corrosion,which can lead to a significant stiffness reduction. with the objective of evaluating theinfluence of the joints stiffness in the structural response of the bridge, a structural model ofthe bridge was created, and ...

In this paper, we propose a probabilistic model to study the interaction of bidder and seller agents in sequential automated auctions. We consider a designated “special bidder” (SB) who arrives at an auction and observes the ongoing activities among a number of bidders and the seller jointly, as a stochastic system that is parameterised by the rate of the bidding and selling events. The auction...

have shown a considerable amount of interest in the control of pneumatic drives over the past decade, for two main reasons, firstly, the response of the system is very slow and it is difficult to attain set points due to hysteresis and secondly, the dynamic model of the system is highly non-linear, which greatly complicates controller design and development. To address these problems, two strea...