Progressive collapse response and ultimate strength evaluation of stiffened plates with welding residual stress under combined biaxial cyclic loads and lateral pressure DOI
Dongyang Li, Zhen Chen

Marine Structures, Journal Year: 2024, Volume and Issue: 99, P. 103703 - 103703

Published: Oct. 10, 2024

Language: Английский

Research on the prediction of mechanical properties of magnesium-silicon-based cement and the mechanism of element interaction based on machine learning DOI
Xiao Luo, Yue Li,

Yunze Liu

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 463, P. 140062 - 140062

Published: Jan. 24, 2025

Language: Английский

Citations

0
Harnessing Synergy of Machine Learning and Nature-Inspired Optimization for Enhanced Compressive Strength Prediction in Concrete DOI Creative Commons
Abba Bashir, Esar Ahmad, Shashivendra Dulawat

et al.

Hybrid Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100404 - 100404

Published: Jan. 1, 2025

Language: Английский

Citations

0
Optimizing high-strength concrete compressive strength with explainable machine learning DOI Creative Commons
Sanjog Chhetri Sapkota,

Christina Panagiotakopoulou,

Dipak Dahal

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(3)

Published: Feb. 3, 2025

Language: Английский

Citations

0
Innovative use of corncob ash in concrete: a machine learning perspective on compressive strength prediction DOI
Navaratnarajah Sathiparan

Innovative Infrastructure Solutions, Journal Year: 2025, Volume and Issue: 10(3)

Published: Feb. 4, 2025

Language: Английский

Citations

0
Machine learning applications in designing cementitious materials DOI
Shichen Dang, Hu Fang, Yao Yao

et al.

Automation in Construction, Journal Year: 2025, Volume and Issue: 174, P. 106125 - 106125

Published: March 14, 2025

Language: Английский

Citations

0
Development of Reactive Carbonate-Calcined Clay-Cement ( ) Composites through Synchronizing Aluminate-Carbonate Reaction: Toward High Compressive Strength and Low Carbon Emission DOI
Yingliang Zhao,

Yong Zheng,

Jionghuang He

et al.

Cement and Concrete Composites, Journal Year: 2025, Volume and Issue: unknown, P. 106060 - 106060

Published: March 1, 2025

Language: Английский

Citations

0
Impact of fine lightweight aggregates and coal waste on structural lightweight concrete: Experimental study and gene expression programming DOI

Reza Sanjari Mijan,

Mohammad Momeni, Mohammad Ali Hadianfard

et al.

Structures, Journal Year: 2024, Volume and Issue: 63, P. 106397 - 106397

Published: April 12, 2024

Language: Английский

Citations

3
A Comprehensive Review of Plant-Based Biopolymers as Viscosity-Modifying Admixtures in Cement-Based Materials DOI Creative Commons

Yousra Boutouam,

Mahmoud Hayek,

Kamal Bouarab

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(10), P. 4307 - 4307

Published: May 19, 2024

As the construction industry is facing challenge of meeting ever-increasing demand for environmentally friendly and durable concrete, role viscosity-modifying admixtures (VMAs) has become increasingly essential to improve rheological properties, stability, mechanical properties concrete. Additionally, natural polymers are ever evolving, offering multiple opportunities innovative applications sustainable solutions. This comprehensive review delves into historical context classifications VMAs, accentuating their impact in enhancing Emphasis placed on environmental synthetic promoting exploration alternatives derived from plant-based biopolymers. Indeed, biopolymers, such as cellulose, starch, alginate, pectin, carrageenan considered this paper, focusing understanding efficacy improving concrete while sustainability within

Language: Английский

Citations

2
Characterization of Mortars Incorporating Concrete Washing Fines: Impact on Mechanical Properties, Microstructure and Carbon Footprint DOI Creative Commons
Bechara Haddad, Farjallah Alassaad, Houssam Affan

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(18), P. 8381 - 8381

Published: Sept. 18, 2024

This study examines the potential use of wash fines, a waste product from concrete plant cleaning, as supplementary cementing materials (SCMs) in mortars. The main objective is to assess feasibility and benefits this incorporation terms technical performance environmental impact. Extensive tests were carried out on different mortar formulations, incorporating varying rates washing fines (0%, 10%, 20%, 30%) partial replacement for cement. choice prompted by fineness fine particles. properties studied included compressive flexural strength, porosity, density, water absorption, shrinkage fire resistance. results show that increases porosity decreases density. There was also decrease mechanical strength resistance substitution rate increased. However, enables significant reduction mortar’s carbon footprint, reaching up 29% formulation with 30% substitution. demonstrates an alternative SCM, part circular economy approach reducing impact industry. it underlines need optimize formulations maintain acceptable performance.

Language: Английский

Citations

2
Predictive modeling for compressive strength of blended cement concrete using hybrid machine learning models DOI
Asad Ullah Khan, Raheel Asghar, Najmul Hassan

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(1)

Published: Nov. 7, 2024

Language: Английский

Citations

2