Mechanical properties of geopolymer concrete solidified with waste materials

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 460, P. 139835 - 139835

Published: Jan. 1, 2025

Language: Английский

---

Safety and environmental protection application of high performance solid waste unburned ceramsite and its lightweight high strength concrete

Sustainable Chemistry and Pharmacy, Journal Year: 2024, Volume and Issue: 40, P. 101611 - 101611

Published: May 27, 2024

Language: Английский

---

Carbonation mechanism and cementation properties of recycled cement paste based on CO2 injection time and pressure

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 447, P. 138104 - 138104

Published: Sept. 4, 2024

Language: Английский

---

Optimal regulation of modified biochar in solid waste-derived lightweight aggregates: Enhancing carbonation mechanisms and negative carbon emissions

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160920 - 160920

Published: Feb. 1, 2025

Language: Английский

---

Simulating water penetration in cementitious materials using pore structures from mercury intrusion porosimetry

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04492 - e04492

Published: March 1, 2025

Language: Английский

---

Language model enhanced surface chloride concentration determination for concrete within splash environment based on limited field records

Case Studies in Construction Materials, Journal Year: 2024, Volume and Issue: 20, P. e03157 - e03157

Published: April 18, 2024

Chloride ion is severely harmful to reinforced concrete (RC) structures in marine environments. For maintaining the durability and safety of designed RC structures, determination chloride concentration on surfaces critical. Currently, surface can be determined using empirical formulas machine learning (ML) approaches. However, these approaches only rely numerical information within field records, disregarding valuable semantic background leading low accuracy. Meanwhile, splash environments, it presents a significant challenge obtain records due complex environment high costs involved. Therefore, based limited concentrations utilizing state-of-the-art language model (LM), this study proposes an LM-based generation (LMIG) improve accuracy structures. This paper utilizes 70 sets fine-tune LMIG generates 200 high-quality records. These are then used train ML algorithms for predicting surfaces. After conducting comparative research, was found that incorporating generated by significantly enhances algorithm. Specifically, predictive random forest algorithm increased 33.1%. Furthermore, also conducts generative adversarial network (GAN)-assisted data-driven method. The results demonstrate integrating into shows advantages enhancing algorithms'

Language: Английский

---

Towards sustainable artificial aggregate production using industrial waste and CO2: A comprehensive review

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110823 - 110823

Published: Sept. 1, 2024

Language: Английский

---

Consecutive pozzolanic layerings to depress internal-sulfate-attack corrosion of OPC by phosphogypsum-based cold bonded aggregates

Corrosion Science, Journal Year: 2024, Volume and Issue: unknown, P. 112458 - 112458

Published: Sept. 1, 2024

Language: Английский

---

Feasibility study of utilizing Autoclaved Aerated Concrete (AAC) waste for the production of cold bonded lightweight artificial aggregate using high volume fly ash (HVFA) binders

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 449, P. 138414 - 138414

Published: Sept. 26, 2024

Language: Английский

---

A critical review on cold-bonded artificial aggregate developed from solid wastes: from granulation analysis to performance evaluation

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111588 - 111588

Published: Dec. 1, 2024

Language: Английский

---