Results 71 to 80 of about 97,786 (312)

Analytical Study of Reinforced Concrete Beams Tested under Quasi-Static and Impact Loadings

open access: yesApplied Sciences, 2019
During dynamic events (such as impact forces), structures fail to absorb the incoming energy and catastrophic collapse may occur. Impact and quasi-static tests were carried out on reinforced concrete beams with and without externally bounded sprayed and ...
Sayed Mohamad Soleimani   +1 more
doaj   +1 more source

Recent Progress and Opportunities in Oxide Semiconductor Devices for In‐Memory and Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong   +4 more
wiley   +1 more source

A Model of the Moment Curvature Relation for RC Beams Strengthened with Prestressed CFRP Laminates

open access: yesArchives of Civil Engineering, 2019
The paper presents an analysis of the behaviour of bent reinforced concrete beams strengthened with CFRP laminates fixed with adhesive before and after unloading, and more importantly, an analysis of the work of reinforced concrete beams strengthened ...
Korentz J.
doaj   +1 more source

Structural performance of steel-concrete sandwich beams with carbon nanofiber reinforcement [PDF]

open access: yes, 2019
Cementitious materials such as concrete are typically characterised as quasi-brittle with low tensile strength and low strain capacity, which hence affect the long-term durability of the structure.
Ashraf S. Ayoub   +19 more
core   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

Application of nanofiber composites in improving shear resistance and durability of buildings

open access: yesMeasurement: Sensors
In order to improve the shear performance of reinforced concrete beams and improve the shear bearing capacity of concrete beams, the author proposes a scheme based on flax fiber cloth to strengthen the shear performance of reinforced concrete beams, by ...
Yingqun Zhang, Yugang Dong, Lange Zhang
doaj   +1 more source

Markov chain modeling of evolution of strains in reinforced concrete flexural beams

open access: yesMateriales de Construccion, 2012
From the analysis of experimentally observed variations in surface strains with loading in reinforced concrete beams, it is noted that there is a need to consider the evolution of strains (with loading) as a stochastic process.
M. B. Anoop   +3 more
doaj   +1 more source

Tinjauan Kuat Lentur Balok Beton Bertulang Dengan Tambahan Tulangan Baja Menyilang Pasca Bakar Dengan Berbagai Variasi Waktu [PDF]

open access: yes, 2015
Heating in concrete due to fire would result in a fundamental change of its nature. The concrete will be cracked, spalled, and loss of its strenght. Loss of strenght occurs because the chemical composition changes gradually in the cement paste.
, Basuki, S.T, M.T.   +2 more
core  

Moment redistribution in continuous FRP reinforced concrete beams [PDF]

open access: yes, 2013
yesThe main purpose of this paper is to assess moment redistribution in continuous concrete beams reinforced with fibre reinforced polymer (FRP) bars.
Al-Sayed   +23 more
core   +1 more source

Physical Reservoir Computing for Smart Manufacturing of PCB Using Crystallinity‐Controlled HfO2 Memristor for Reservoir

open access: yesAdvanced Intelligent Systems, EarlyView.
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee   +7 more
wiley   +1 more source

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