Hybrid random forest models optimized by Sparrow search algorithm (SSA) and Harris hawk optimization algorithm (HHO) for slope stability prediction DOI
Meng Wang, Guoyan Zhao, Shaofeng Wang

и другие.

Transportation Geotechnics, Год журнала: 2024, Номер 48, С. 101305 - 101305

Опубликована: Июнь 21, 2024

Язык: Английский

Concrete Containing Waste Glass as an Environmentally Friendly Aggregate: A Review on Fresh and Mechanical Characteristics DOI Open Access
Shaker Qaidi, ‎Hadee Mohammed Najm,

Suhad M. Abed

и другие.

Materials, Год журнала: 2022, Номер 15(18), С. 6222 - 6222

Опубликована: Сен. 7, 2022

The safe disposal of an enormous amount waste glass (WG) in several countries has become a severe environmental issue. In contrast, concrete production consumes large natural resources and contributes to greenhouse gas emissions. It is widely known that many kinds may be utilized rather than raw materials the field construction materials. However, for wide use building construction, it necessary ensure characteristics resulting are appropriate. Recycled one most attractive can used create sustainable compounds. Therefore, researchers focus on cement mortar by utilizing as aggregate or pozzolanic material. this article, literature discussing recycled partial complete replacement aggregates been reviewed focusing effect fresh mechanical properties concrete.

Язык: Английский

Процитировано

189

Fly Ash-Based Geopolymer Composites: A Review of the Compressive Strength and Microstructure Analysis DOI Open Access
Shaker Qaidi, ‎Hadee Mohammed Najm,

Suhad M. Abed

и другие.

Materials, Год журнала: 2022, Номер 15(20), С. 7098 - 7098

Опубликована: Окт. 12, 2022

Geopolymer (GP) concrete is a novel construction material that can be used in place of traditional Portland cement (PC) to reduce greenhouse gas emissions and effectively manage industrial waste. Fly ash (FA) has long been utilized as key constituent GPs, GP technology provides an environmentally benign alternative FA utilization. As result, thorough examination manufactured using precursor (FA-GP concrete) employed replacement for conventional become crucial. According the findings current investigations, FA-GP equal or superior mechanical physical characteristics compared PC concrete. This article reviews clean production, mix design, compressive strength (CS), microstructure (Ms) analyses collect publish most recent information data on In addition, this paper shall attempt develop comprehensive database based previous research study expounds impact substantial aspects such physio-chemical precursors, mixes, curing, additives, chemical activation CS The purpose work give viewers greater knowledge consequences uses making effective

Язык: Английский

Процитировано

126

Application of Ultra-High-Performance Concrete in Bridge Engineering: Current Status, Limitations, Challenges, and Future Prospects DOI Creative Commons

Shaker Abdal,

Walid Mansour, Ibrahim Saad Agwa

и другие.

Buildings, Год журнала: 2023, Номер 13(1), С. 185 - 185

Опубликована: Янв. 10, 2023

Ultra-high-performance concrete (UHPC) is a form of cementitious composite that has been the most innovative product in technology over last three decades. broadly employed for design numerous forms construction owing to its excellent mechanical characteristics and durability, studies on behavior have grown fast While utilization ultra-high-performance bridge engineering (BE) limited high costs, little recognized about UHPC various BE elements. As result these issues, comprehensive review current development trends should be conducted determine present state perspective. This study presents state-of-the-art applications BE. also discusses status, limitations, challenges, areas further investigation The aim this research help stakeholders understand distinctive characteristics, benefits, barriers broad applications. understanding will aid increasing entire market share both national worldwide building sectors.

Язык: Английский

Процитировано

98

Intelligent design and manufacturing of ultra-high performance concrete (UHPC) – A review DOI
Dingqiang Fan,

Jinyun Zhu,

Mengxin Fan

и другие.

Construction and Building Materials, Год журнала: 2023, Номер 385, С. 131495 - 131495

Опубликована: Апрель 25, 2023

Язык: Английский

Процитировано

88

Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete DOI
Torkan Shafighfard, Farzin Kazemi, Neda Asgarkhani

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 136, С. 109053 - 109053

Опубликована: Авг. 2, 2024

Язык: Английский

Процитировано

85

Development of machine learning models for the prediction of the compressive strength of calcium-based geopolymers DOI

Wangwen Huo,

Zhiduo Zhu,

He Sun

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 380, С. 135159 - 135159

Опубликована: Ноя. 14, 2022

Язык: Английский

Процитировано

75

Stress-strain models for ultra-high performance concrete (UHPC) and ultra-high performance fiber-reinforced concrete (UHPFRC) under triaxial compression DOI
S.S. Zhang, J.J. Wang, Guan Lin

и другие.

Construction and Building Materials, Год журнала: 2023, Номер 370, С. 130658 - 130658

Опубликована: Фев. 21, 2023

Язык: Английский

Процитировано

58

Investigation of the physical-mechanical properties and durability of high-strength concrete with recycled PET as a partial replacement for fine aggregates DOI Creative Commons
Shaker Qaidi, Yaman S. S. Al-Kamaki, Ibrahim Y. Hakeem

и другие.

Frontiers in Materials, Год журнала: 2023, Номер 10

Опубликована: Янв. 13, 2023

In this study, PET plastic waste, which is a type of polymer commonly used in the manufacture bottles, has been incorporated into concrete by partially replacing natural fine aggregate. An experimental study was conducted casting and testing 90 cylinders 54 cubes. A mixture designed aggregate substituted with waste (PW) at ratio 0%, 25%, 50%, various w/c ratios .40, .45, .55. Physical, mechanical, durability properties were assessed. The downside test results show degradation each following characteristics: slump, compressive strength, splitting tensile ultrasonic pulse velocity, water absorption, porosity. these characteristics increased increase volume (PA) ratio. While positive side showed that PA ratio, fresh dry densities decreased further, using 50% PET, density became below 2000 kg/m 3 . Therefore, it classified as lightweight concrete. Moreover, fracture changed from brittle to more ductile compared control Also, thermal conductivity significantly (11%–47%), less than .71 W/mK, accordingly, bearing insulator.

Язык: Английский

Процитировано

57

Development of hybrid gradient boosting models for predicting the compressive strength of high-volume fly ash self-compacting concrete with silica fume DOI
Rakesh Kumar, Shashikant Kumar,

Baboo Rai

и другие.

Structures, Год журнала: 2024, Номер 66, С. 106850 - 106850

Опубликована: Июль 8, 2024

Язык: Английский

Процитировано

25

Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review DOI
Rakesh Kumar, Baboo Rai, Pijush Samui

и другие.

Structural Concrete, Год журнала: 2024, Номер unknown

Опубликована: Май 23, 2024

Abstract A cement‐based material that meets the general goals of mechanical properties, workability, and durability as well ever‐increasing demands environmental sustainability is produced by varying type quantity individual constituents in high‐performance concrete (HPC) ultrahigh‐performance (UHPC). Expensive time‐consuming laboratory experiments can be used to estimate properties mixtures elements. As an alternative, these attributes approximated means predictive models created through application artificial intelligence (AI) methodologies. AI approaches are among most effective ways solve engineering problems due their capacity for pattern recognition knowledge processing. Machine learning (ML) deep (DL) a subfield gaining popularity across many scientific domains result its benefits over statistical experimental models. These include, but not limited to, better accuracy, faster performance, greater responsiveness complex environments, lower economic costs. In order assess critical features literature, comprehensive review ML DL applications HPC UHPC was conducted this study. This paper offers thorough explanation fundamental terms ideas algorithms frequently predict UHPC. Engineers researchers working with construction materials will find useful helping them choose accurate appropriate methods needs.

Язык: Английский

Процитировано

21