Optimized Proportioning Model and Efficacy Analysis of High Performance Concrete in Bridge Construction DOI Creative Commons
Chao Feng

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract As an important part of the raw materials for building construction, high performance concrete is well known its many properties. This paper analyzes prerequisites high-performance proportioning from technical point view and processes involved in designing proportioning. A particle swarm algorithm combined with a neural network used to establish relationship model between strength proportion, constructed PSO-BP prediction mixing ratio get best material proportion. The ability BP model, GP compared. In order test applicability reliability formulated by members, static load tests were carried out this on 20m single girder strain deflection control section. results show that relative error predictions predicted within 2%. It shows optimum can be using model. beams meet design practical engineering requirements terms stiffness applied real bridges. Based research analysis, suggestions have been made application bridge construction four aspects.

Language: Английский

Thermal Stability and Performance of a Multifunctional Uhpc Reinforced with Aramid, Basalt, and Steel Microfibers DOI
Eduarda Franke Melchiors,

Vanderlei Portela,

Gabriela Iansen

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Assessment of the mechanical, radiation shielding, and durability of ultra-high-performance concrete for radiation shielding: A review DOI Creative Commons
Great S. Anunike, Mohamad Tarabin, Ousmane A. Hisseine

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 474, P. 140896 - 140896

Published: April 5, 2025

Language: Английский

Citations

0

Investigation of cracking and ductility performance of layered UHPC-NC composite members with reinforced UHPC as protective layer under bending moment DOI

Xianzhi Luo,

Sumei Zhang, Yu‐Chen Zhang

et al.

Thin-Walled Structures, Journal Year: 2024, Volume and Issue: 208, P. 112828 - 112828

Published: Dec. 11, 2024

Language: Английский

Citations

3

Optimizing steel fiber content and holding time for enhanced mechanical properties of UHPC prepared via prepressure technology DOI
Yongze Li, Chunxiao Zhang, Jize Mao

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 467, P. 140099 - 140099

Published: Feb. 12, 2025

Language: Английский

Citations

0

Mechanical behaviors and internal pressure bearing capacity of nuclear containment using UHPC and ECC: From numerical simulation, machine learning prediction to fragility analysis DOI
Di Yao, Ge Gao, Qingyu Yang

et al.

Nuclear Engineering and Design, Journal Year: 2024, Volume and Issue: 429, P. 113617 - 113617

Published: Oct. 14, 2024

Language: Английский

Citations

0

Leaching Behaviour of Simulated Radionuclides in Hybrid Geopolymer-Epoxy Matrices for Composite Application DOI

Manisha Dash,

Bhanja Prasad Patro,

Barada Prasanna Sahoo

et al.

Arabian Journal for Science and Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Language: Английский

Citations

0

Optimized Proportioning Model and Efficacy Analysis of High Performance Concrete in Bridge Construction DOI Creative Commons
Chao Feng

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract As an important part of the raw materials for building construction, high performance concrete is well known its many properties. This paper analyzes prerequisites high-performance proportioning from technical point view and processes involved in designing proportioning. A particle swarm algorithm combined with a neural network used to establish relationship model between strength proportion, constructed PSO-BP prediction mixing ratio get best material proportion. The ability BP model, GP compared. In order test applicability reliability formulated by members, static load tests were carried out this on 20m single girder strain deflection control section. results show that relative error predictions predicted within 2%. It shows optimum can be using model. beams meet design practical engineering requirements terms stiffness applied real bridges. Based research analysis, suggestions have been made application bridge construction four aspects.

Language: Английский

Citations

0