|
|
|
Jun-Fang Wang, Jian-Fu Lin and Yan-Long Xie
Subjected to complex loadings from the wheel?rail interaction, turnout rail is prone to crack damage. This paper aims to develop a condition evaluation method for crack-alike damage detection of in-service turnout rail. A covariance-based structural cond...
ver más
|
|
|
|
|
|
Noah J. Bagazinski and Faez Ahmed
Ship design is a years-long process that requires balancing complex design trade-offs to create a ship that is efficient and effective. Finding new ways to improve the ship design process could lead to significant cost savings in the time and effort requ...
ver más
|
|
|
|
|
|
Eduardo García Villena, Alina Pascual Barrera, Roberto Marcelo Álvarez, Luís Alonso Dzul López, Kilian Tutusaus Pifarré, Juan Luís Vidal Mazón, Yini Airet Miró Vera, Santiago Brie and Miguel A. López Flores
The purpose of this article is to help to bridge the gap between sustainability and its application to project management by developing a methodology based on artificial intelligence to diagnose, classify, and forecast the level of sustainability of a sa...
ver más
|
|
|
|
|
|
Lucia Minnucci, Fabrizio Scozzese, Sandro Carbonari, Fabrizio Gara and Andrea Dall?Asta
The seismic assessment of existing bridges is of the utmost importance to characterise the main structural deficiencies, estimate the risk, prioritise retrofit interventions, or estimate losses and repair costs in case of earthquakes. The above tasks req...
ver más
|
|
|
|
|
|
Dugan Um, Prasad Nethala and Hocheol Shin
In this paper, a hierarchical reinforcement learning (HRL) architecture, namely a ?Hierarchical Deep Deterministic Policy Gradient (HDDPG)? has been proposed and studied. A HDDPG utilizes manager and worker formation similar to other HRL structures. Howe...
ver más
|
|
|