Results 71 to 80 of about 26,875 (312)

A Simplified Method to Predict Damage of Axially-Loaded Circular RC Columns Under Lateral Impact Loading

open access: yesInternational Journal of Concrete Structures and Materials, 2020
Detailed finite element (FE) models are often employed to predict the impact responses of reinforced concrete (RC) columns. However, they always require substantial investments of time and effort in modeling and analysis so that they are not widely used ...
Bin Liu   +4 more
doaj   +1 more source

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

open access: yesAdvanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu   +4 more
wiley   +1 more source

Energy dissipation and equivalent damping of RC columns subjected to biaxial bending: an investigation based in experimental results

open access: yes, 2012
The cyclic behaviour of reinforced concrete columns have been object of many experimental studies in the recent past years. However, the experimental studies on the biaxial response of RC columns are still limited.
Costa, A. G.   +3 more
core   +1 more source

Numerical modelling of RC strengthened columns under biaxial loading

open access: yes, 2016
During an earthquake, the reinforced concrete (RC) structures are subjected to deformations that may lead their structural elements to exceed the corresponding resistance limit state, forcing them to have nonlinear responses. The application of realistic
André Furtado   +8 more
core   +1 more source

Theoretical model for slender FRP-confined circular RC columns [PDF]

open access: yes, 2012
An important application of fiber-reinforced polymer (FRP) composites is to provide confinement to reinforced concrete (RC) columns to enhance their load-carrying capacity.
T. Jiang, Teng, JG, Jiang, T, J.G. Teng
core   +1 more source

From continuous to interruptible distillation: Flexible electric heating column architecture with fast start‐up

open access: yesAIChE Journal, EarlyView.
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley   +1 more source

Experimental response of RC columns built with plain bars under unidirectional cyclic loading

open access: yes, 2012
A large number of existing reinforced concrete (RC) buildings structures were designed and built before mid-70’s, when the reinforcing bars had plain surface and prior to the enforcement of the modern seismic-oriented design philosophies.
Costa, A.   +3 more
core   +1 more source

Seismic behavior of strengthened RC columns under biaxial loading: An experimental characterization

open access: yes, 2015
Article number - 6964Abstract The main purpose of this work it to present an experimental campaign of different strengthening strategies of RC columns, and evaluating benefits concerning their structural behavior for cyclic loading.
Rocha, Patrício   +3 more
core   +1 more source

Experimental and theoretical study of used GFRP I-profile composite columns

open access: yesFracture and Structural Integrity
Glass Fiber Reinforced Polymer (GFRP) is a promising alternative to steel due to its high strength, lightweight properties, corrosion resistance, and low maintenance requirements.
Ata El-Kariem Shoeib   +3 more
doaj   +3 more sources

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

open access: yesAdvanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas   +4 more
wiley   +1 more source

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