Results 31 to 40 of about 1,178,507 (312)

Investigation on strength and ductility of confined geopolymer concrete subjected to axial loads

open access: yesPrzegląd Naukowy Inżynieria i Kształtowanie Środowiska
This paper presents the results of an investigation into geopolymer concrete confined by hoop reinforcement. The investigation focused on the strength and ductility of confined geopolymer concrete subjected to axial loads.
ANTONIUS   +3 more
doaj   +1 more source

Behavior of FRP-Confined Reactive Powder Concrete Columns under Eccentric Loading [PDF]

open access: yesJournal of Rehabilitation in Civil Engineering, 2014
Fiber reinforced Polymers (FRP) have widely used for the purposes of enhances strength and ductility of concrete columns. Proper design of such hybrid columns, however, requires a better recognition of the behavior of concrete columns confined with FRP ...
Muhammad Abbassi, Hooshang Dabbagh
doaj   +1 more source

Effects of predamage and load cyclic on compression behavior of fiber reinforced polymer‐confined concrete

open access: yes, 2021
Most existing studies on fiber reinforced polymer (FRP) confined concrete have focused on undamaged concrete that is subjected to uniaxial monotonic compression.
Liu, Muyu   +7 more
core   +1 more source

Data-Driven Model for Predicting the Compressive Strengths of GFRP-Confined Reinforced Concrete Columns

open access: yesBuildings, 2023
This paper focuses on the compressive strength of Glass fiber reinforced polymer (GFRP)-confined reinforced concrete columns. Data from 114 sets of GFRP-confined reinforced concrete columns were collected to evaluate the researchers’ and proposed model ...
Haolin Li, Dongdong Yang, Tianyu Hu
doaj   +1 more source

Steel Straps Confined Lightweight Foamed Concrete

open access: yes, 2021
Lightweight foamed concrete is originally unable to be used for main structural members such as column, beam and slab due to its low in compressive strength and ductility.
Abdullah Zawawi, Awang   +3 more
core  

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

open access: yesAdvanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba   +5 more
wiley   +1 more source

Finite element modelling and theoretical predictions of FRP-reinforced concrete columns confined with various FRP-tubes

open access: yes, 2020
The present research work has endeavored to investigate the structural behavior of fiber reinforced polymer (FRP) reinforced concrete columns confined with FRP-tubes under axial concentric and eccentric loadings.
Raza, Ali   +3 more
core   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Experimental study on Carbon FRP-confined elliptical concrete columns [PDF]

open access: yes, 2011
It is well recognized that the technique of strengthening reinforced concrete (RC) using fiber-reinforced polymer (FRP) jackets is more effective for circular sections, but less effective for rectangular sections.
Casalboni, Stefano
core  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

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