Strength prediction of construction demolition waste and pine needle fibre stabilized soil using artificial neural network DOI
Aastha Sharma, Abhishek Sharma

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2023, Volume and Issue: 7(3), P. 1975 - 1991

Published: Dec. 16, 2023

Language: Английский

Failure analysis and enhancement measures of wet shotcrete support during cold periods in mining DOI
Ming‐Tian Zhang, Jinyang Fan, Zongze Li

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 461, P. 139769 - 139769

Published: Jan. 1, 2025

Language: Английский

Citations

2

Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature DOI Creative Commons
Abdulaziz Alaskar, Ghasan Alfalah, Fadi Althoey

et al.

Case Studies in Construction Materials, Journal Year: 2023, Volume and Issue: 18, P. e02199 - e02199

Published: June 6, 2023

The elevated temperature severely influences the mixed properties of concrete, causing a decrease in its strength properties. Accurate proportioning concrete components for obtaining required compressive (C-S) at temperatures is complicated and time-taking process. However, using evolutionary programming techniques such as gene expression (GEP) multi-expression (MEP) provides accurate prediction C-S. This article presents genetic programming-based models (such (MEP)) forecasting temperatures. In this regard, 207 C-S values were obtained from previous studies. model's development, was considered output parameter with nine most influential input parameters, including; Nano silica, cement, fly ash, water, temperature, silica fume, superplasticizer, sand, gravels. efficacy accuracy GEP MEP-based assessed by statistical measures mean absolute error (MAE), correlation coefficient (R2), root square (RMSE). Moreover, also evaluated external validation different criteria recommended comparing MEP models, gave higher R2 lower RMSE MAE 0.854, 5.331 MPa, 0.018 MPa respectively, indicating strong between actual anticipated outputs. Thus, GEP-based model used further sensitivity analysis, which revealed that cement influencing factor. addition, proposed simple mathematical can be easily implemented practice.

Language: Английский

Citations

23

Stabilization of Expansive Clays with Basalt Fibers and Prediction of Strength by Machine Learning DOI Creative Commons
Sedat Sert, Eylem Arslan,

Pınar Ocakbaşı

et al.

Arabian Journal for Science and Engineering, Journal Year: 2024, Volume and Issue: 49(10), P. 13651 - 13670

Published: Feb. 19, 2024

Abstract Expansive clays with high plasticity need to be stabilized prevent hazards that may arise due the extreme volume changes experienced moisture fluctuations. Utilizing a kind of natural and eco-friendly sustainable fiber named as basalt into soils has become new issue needs expanded in scope. In this paper, plastic soil was by these fibers reduce possible soil-induced disasters. Basalt different lengths were mixed clay at varied amounts. Due soil’s sensitivity water, samples prepared distinct water contents, 2 on dry 3 wet side optimum. To question whether strength loss change can regained or not, tests performed both samples. Through tests, it revealed expansive enhanced up 280% content 2%. The highest obtained approximately 880 kPa mixing 24 mm 15% 1 2% ratios. As anticipated, long (24 mm) supplied real reinforcement even contents. addition, data set used train machine learning algorithms (linear, ridge, lasso, support vector, decision tree) have just started applied geotechnical engineering. Results proved that, tree regression outperformed stress strain 0.85 R -squared ( ) 0.91 estimation. Additionally, from feature importance analyses an 85% 97% strain.

Language: Английский

Citations

9

Macroscopic and Microscopic Evaluation of the Effect of Mellowing Time on the Mechanical Properties of Expansive Clay Stabilized with Class F Fly Ash–Based Geopolymer DOI

Khushal Khan,

Usama Khalid,

Zia ur Rehman

et al.

Journal of Materials in Civil Engineering, Journal Year: 2025, Volume and Issue: 37(4)

Published: Feb. 4, 2025

Language: Английский

Citations

1

Integrated recycling of geopolymerized quarry dust and bagasse ash with facemasks for the balanced amelioration of the fat clay: a multi-waste solution DOI

Imad Ullah,

Usama Khalid,

Zia ur Rehman

et al.

Environmental Earth Sciences, Journal Year: 2023, Volume and Issue: 82(21)

Published: Oct. 10, 2023

Language: Английский

Citations

19

Compaction and compressibility characteristics of snail shell ash and granulated blast furnace slag stabilized local bentonite for baseliner of landfill DOI Creative Commons
Olaolu George Fadugba,

Julius Kayode Adeniran,

George Uwadiegwu Alaneme

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 26, 2024

Abstract This study comprehensively explores the compaction and compressibility characteristics of snail shell ash (SSA) ground-granulated blast-furnace slag (GBFS) in stabilizing local bentonite for landfill baseliner applications. The untreated soil, with a liquid limit 65%, plastic 35%, plasticity index 30%, exhibited optimal at moisture content 32% maximum dry density 1423 kg/m 3 . SSA revealed dominant presence 91.551 wt% CaO, while GBFS contained substantial 53.023 SiO 2 Treated samples 20% 5% highest (1561 ) (13%), surpassing other mixtures. 15% SSA-treated sample demonstrated superior strength enhancement, reaching an unconfined compressive 272.61 kPa over 28 days, 10% GBFS-treated achieved 229.95 kPa. combination shear (49 kPa) elastic modulus (142 MPa), showcasing robust mechanical properties. Additionally, displayed favourable hydraulic conductivity (5.57 × 10 –8 cm/s), outperforming Notably, permeability test, critical aspect study, was meticulously conducted triplicate, ensuring reliability reproducibility reported values. showed reduced compared to control exhibiting more consistent response applied pressures. Scanning Electron Microscopy analysis composition changes mixture, suggesting its potential as effective base liner systems. In conclusion, properties conductivity, presenting promising choice

Language: Английский

Citations

7

Financing and Management Strategies for Expanding Green Development Projects: A Case Study of Energy Corporation in China’s Renewable Energy Sector Using Machine Learning (ML) Modeling DOI Open Access

Chen Han,

Yang Lu

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4338 - 4338

Published: May 21, 2024

This study investigates potential financing and management strategies that the Energy Corporation, a Chinese renewable energy company, could adopt in order to expand its green development projects. While China has made significant advancements energy, heavy reliance on fossil fuels necessitates shift towards more sustainable system. To analyze factors driving impeding sustainability, this article provides an overview of China’s sector policies. Through case studies Corporation other prominent companies, showcases range demonstration projects, models, technologies have accelerate growth initiatives. Recommendations from expert interviews are also provided, covering areas such as optimizing investment, monitoring distributed assets, balancing social environmental impacts. The results show can effectively develop wind, solar, efficiency projects nationwide by leveraging partnerships, utilizing bonds, employing big data platforms, engaging stakeholders, while setting sustainability benchmarks. With strategic approach, aims invest USD 1 billion over next five years, targeting capacity 5000 MW 20% reduction CO2 emissions. Achieving these goals would position companies global leaders transition energy. utilized artificial neural network (ANN) impact increasing jobs capacities emission economic growth. indicate effect reducing emissions compared capacities. When increased remained constant, substantial reductions were observed, but was only 1%. However, when there moderate increase alongside four-fold capacities, reached 4%. network’s prediction errors deemed acceptable based linear regression analysis experimental results.

Language: Английский

Citations

6

Hydrochar as an adsorbent for heavy metals in soil: A meta-analysis DOI
Ekaterina Kravchenko,

Wen Hui Yan,

D. A. Privizentseva

et al.

Sustainable materials and technologies, Journal Year: 2024, Volume and Issue: 41, P. e01057 - e01057

Published: July 22, 2024

Language: Английский

Citations

6

Efficacy of geopolymerization for integrated bagasse ash and quarry dust in comparison to fly ash as an admixture: A comparative study DOI Creative Commons
Usama Khalid,

Zia ur Rehman,

Imad Ullah

et al.

Journal of Engineering Research, Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 1, 2023

This study compares the efficacy of geopolymerized bagasse ash (GB) and quarry dust (GQ) with traditional flay ash-based geopolymer considering strength properties a subgrade. Geopolymerized composited binary admixture (GBA) was constituted by incorporating optimum percentages GQ GB, on basis maximum reduction 70% 52% in plasticity index value respectively. Then samples for tests such as unconfined compression California bearing ratio were remolded using standard modified compaction parameters. Also, mineralogical microstructural analyses conducted based SEM EDS. The influence curing percentage geopolymers also investigated properties. performance GBA is equivalent to fly-ash-based (GF) like qu CBR ensuring more than 200% increase at 20% 15% content However, these contents, ductility GBA-treated 107% higher GF making this suitable under dynamic load. Formation gel ((N, C)-A-S-H) confirmed elemental but microstructure treated sample porous sample, which provides some advantage particles reorientation load before failure. proposed multi-waste has significant implications waste management, its implementation construction two-lane subgrade covering distance 1 kilometer may enable repurposing 1313 tons assorted solid waste.

Language: Английский

Citations

12

Development and Application of Geothermally Derived Silica Grout for Carbon-Neutral Soil Stabilization DOI Creative Commons

Taichi Terui,

Toshiyuki Motohashi,

Shigeo Sasahara

et al.

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04297 - e04297

Published: Jan. 1, 2025

Language: Английский

Citations

0