Results 131 to 140 of about 3,293 (232)

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

EFFECT OF DIFFERENT TYPES OF LIGHTWEIGHT AGGREGATE ON STRENGTH AND MODULUS OF ELASTICITY OF CELLULAR CONCRETE

open access: yesJournal of Engineering and Sustainable Development, 2019
The objective of this study is to improve the properties of structural foamed concretes by adding fine and coarse lightweight aggregate. The materials that used in this study were fly ash as fine material and various types of lightweight aggregate (Leca,
Suhad Mohammed Abd   +1 more
doaj  

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

Kajian Eksperimen Kuat Tekan Beton Ringan Menggunakan Agregat Bambu dan Bahan Tambah Beton

open access: yesSemesta Teknika, 2016
The use bamboo as a substitute aggregate is an effort to reduce the density and static load of structural elements. This reseach focuses on the problem related to the specific gravity and compressive strength of the use of bamboo as a lightweight ...
Muhammad Riang Endarto   +1 more
doaj  

Green and Durable Lightweight Aggregate Concrete: The Role of Waste and Recycled Materials. [PDF]

open access: yesMaterials (Basel), 2020
Wang J   +8 more
europepmc   +1 more source

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

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