Performance Evaluation of Current Design Models in Predicting Shear Resistance of UHPC Girders DOI Open Access
Ahmad Tarawneh,

Hadeel Amirah,

Abdullah Alghossoon

et al.

Journal of Composites Science, Journal Year: 2025, Volume and Issue: 9(5), P. 211 - 211

Published: April 27, 2025

This manuscript delivers a comprehensive evaluation of five different ultra-high-performance concrete (UHPC) shear resistance models: FHWA-HRT-23-077 (2023), ePCI report (2021), French Standard NF-P-18-710 (2016), Canadian Standards A23.3-04 (2004), and Modified Eurocode2/German DAfStb (2023). The models differ in accounting for the steel fiber reinforcement contribution determining angle inclination diagonal compression strut. was carried out using an experimental database 198 UHPC specimens focused on accuracy, conservatism, ease use each considered model. included beams with prestressed reinforcement, ratios, wide range geometrical material properties. In order to apply FHWA method, utilization tensile stress (ft,loc) prediction equation developed. Generally, method showed superior performance other terms statistical measures consistent conservatism across variable ranges. Although methods yielded highest it can be said that ePCI, AFGC, CSA similar behavior degrees conservatism. lowest accuracy greatest scatter data. Except all reduction at high transverse ratio.

Language: Английский

Mechanical and Impact Strength Properties of Polymer-Modified Concrete Supported with Machine Learning Method: Microstructure Analysis (SEM) Coupled with EDS DOI Open Access

Saleh Ahmad Laqsum,

Han Zhu, Sadi Ibrahim Haruna

et al.

Journal of Composites Science, Journal Year: 2025, Volume and Issue: 9(3), P. 101 - 101

Published: Feb. 24, 2025

This study investigated the mechanical and impact resistance properties of U-shaped polymer-modified concrete (PMC) incorporated with epoxy (EP) polyacrylate (PA) binders. The mixtures were prepared varying binder contents (0 to 30%) at intervals 10% for each EP PA binder. Moreover, scanning electron microscopy (SEM) analysis coupled energy-dispersive X-ray spectroscopy (EDS) was used microstructure mixtures. An Artificial Neural Network (ANN) model developed predict failure crack strength (N2). results indicate that binders enhance but decrease compressive strength, whereas slightly improve both properties. Introducing into PCM reduces by 4.91%, 15.09%, 33.02% EP10, EP20, EP30, respectively, compared reference specimen, initial improved 127.64%, 221.95%, 17.07% 10, 20, 30, respectively. ANN demonstrated high accuracy in predicting N2, achieving R² values 0.9892 0.9664 during training testing,

Language: Английский

Citations

0
Performance Evaluation of Current Design Models in Predicting Shear Resistance of UHPC Girders DOI Open Access
Ahmad Tarawneh,

Hadeel Amirah,

Abdullah Alghossoon

et al.

Journal of Composites Science, Journal Year: 2025, Volume and Issue: 9(5), P. 211 - 211

Published: April 27, 2025

This manuscript delivers a comprehensive evaluation of five different ultra-high-performance concrete (UHPC) shear resistance models: FHWA-HRT-23-077 (2023), ePCI report (2021), French Standard NF-P-18-710 (2016), Canadian Standards A23.3-04 (2004), and Modified Eurocode2/German DAfStb (2023). The models differ in accounting for the steel fiber reinforcement contribution determining angle inclination diagonal compression strut. was carried out using an experimental database 198 UHPC specimens focused on accuracy, conservatism, ease use each considered model. included beams with prestressed reinforcement, ratios, wide range geometrical material properties. In order to apply FHWA method, utilization tensile stress (ft,loc) prediction equation developed. Generally, method showed superior performance other terms statistical measures consistent conservatism across variable ranges. Although methods yielded highest it can be said that ePCI, AFGC, CSA similar behavior degrees conservatism. lowest accuracy greatest scatter data. Except all reduction at high transverse ratio.

Language: Английский

Citations

0