Results 111 to 120 of about 8,875 (240)

Mechanics‐based model for cold joints in reinforced concrete members

open access: yesStructural Concrete, EarlyView.
Abstract This study introduces a mechanics‐based numerical model to characterize the behavior of cold joints in reinforced concrete members subjected to monotonic loading. The model incorporates mechanisms such as interface slip and opening, aggregate interlock, clamping force, and dowel action of the reinforcing bars crossing the interface.
Brandon Li   +3 more
wiley   +1 more source

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

open access: yesStructural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source

Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide. [PDF]

open access: yesNanomaterials (Basel), 2023
Hong X   +6 more
europepmc   +1 more source

Not All That Glitters Is Gold! The Brokerage Role of Consulting Companies in Disseminating Information to Overcome the Barriers to Metaverse Adoption

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT The last few years have seen a reemergence in the awareness of virtual worlds among practitioners and academics. Driven by tech giants' investments, the Metaverse is considered by some as an unprecedented revolutionary technology with the potential to unlock an entire gamut of new unexplored opportunities for both companies and individuals ...
Giulio Ferrigno   +2 more
wiley   +1 more source

A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie   +5 more
wiley   +1 more source

Temporal Dependency‐Aware Trajectory‐Level Behavioural Metric for Exploration in Reinforcement Learning

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intrinsic motivation serves as the predominant paradigm of exploration in reinforcement learning. In pursuit of an informative and robust state representation, the behavioural metric groups behaviourally equivalent states together, which share the same single‐step reward and transition distribution.
Anjie Zhu   +3 more
wiley   +1 more source

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