Effect of 3D printed skeleton shapes on strength behavior, stress evolution and microstructural response of cement-based tailings backfills

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 432, P. 136699 - 136699

Published: May 21, 2024

Language: Английский

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Mechanical behavior and microscopic mechanism of synergistically enhanced cemented ultra-fine tailings backfill with polypropylene fiber and silica fume

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 443, P. 137668 - 137668

Published: Aug. 8, 2024

Language: Английский

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From performance to mechanism: Analysis of controlling strength attenuation of high-sulfur lead-zinc tailings cemented paste backfill

Minerals Engineering, Journal Year: 2025, Volume and Issue: 225, P. 109233 - 109233

Published: Feb. 27, 2025

Language: Английский

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Innovative underwater material from recycled spoil for scour hole remediation in offshore wind foundations

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04522 - e04522

Published: March 1, 2025

Language: Английский

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Machine Learning Algorithm-Based Prediction Model and Software Implementation for Strength Efficiency of Cemented Tailings Fills

Minerals, Journal Year: 2025, Volume and Issue: 15(4), P. 405 - 405

Published: April 11, 2025

A novel artificial intelligence (AI) application was proposed in the current study to predict CTF’s compressive strength (CS). The database contained six input parameters: age of curing for specimens (AS), cement–sand ratio (C/S), maintenance temperature (T), additives (EA), additive type (AT), concentration (AC), and one output parameter: CS. Then, adaptive boosting (AdaBoost) applied existing AI soft computing techniques, using AdaBoost, random forest (RF), SVM, ANN. Data were arbitrarily separated into training (70%) test (30%) sets. Results confirm that AdaBoost RF have best prediction accuracy, with a correlation coefficient (R2) 0.957 between these sets AdaBoost. Using Python 3.9 (64-bit), IDLE (Python 64-bit), PyQt5 achieve machine learning model computation software function interface development, this can quickly property CTF specimens, which saves time costs efficiently backfill researchers developing new eco-efficient components.

Language: Английский

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Visualization and quantification of pore structure in cement tailings waste rock composites using X-ray computed tomography and deep learning

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 476, P. 141341 - 141341

Published: April 15, 2025

Language: Английский

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Preparation of Paste Filling Body and Study on Supported Transportation Laws Using Flac3D Simulation

Coatings, Journal Year: 2024, Volume and Issue: 14(6), P. 743 - 743

Published: June 12, 2024

This paper proposes a new type of gangue filling body (GFB) to address the issues low stability, strength, poor shrinkage performance, and inadequate seepage resistance paste materials in overburdened mining conditions, as well challenge fully utilizing solid waste gangue. The coal (CG), U-expanding agent (UEA), amount water added were kept constant, mass ratio various components was adjusted design. standard for assessed using slump tests, uniaxial compression penetration tests. A further microscopic analysis pastes with an optimal performance conducted SEM. support pressure overburden migration patterns GFBs evaluated Flac3D. results indicate that GFB 4 performed best, highlighting significant role Portland cement (OPC). 3 demonstrated second-best suggesting higher early strength should be chosen fill hollow zones effective outcome. study introduced material confirmed rock transport law this under conditions Flac3D, offering insights engineering field.

Language: Английский

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The Effects of Hydroxypropyl Methyl Cellulose and Metakaolin on the Properties of Self-Compacting Solidified Soil Based on Abandoned Slurry

Materials, Journal Year: 2024, Volume and Issue: 17(12), P. 2960 - 2960

Published: June 17, 2024

As a new type of backfill material, Self-compacting solidified soil (SCSS) takes the abandoned slurry cast-in-place piles after dewatering and reduction as main raw which brings problem coordinating working performance with mechanical property under condition high mobility. In this paper, hydroxypropyl methyl cellulose (HPMC) metakaolin were introduced additives to solve problem. First, workability properties SCSS regulated optimized by means water seepage rate test, flowability unconfined compressive strength test. Second, study also used X-ray diffraction (XRD) scanning electron microscopy (SEM) investigate effects HPMC on physical phase microstructure SCSS. way, results showed that there was significant impact SCSS, is, when dosage reached 0.3%, reduced less than 1%, at 7 days its peak. At same time, weakened growth in age period 14 days. However, addition promoted strength. XRD analysis had no phases. And, from SEM results, it can be seen although water-retaining effect makes hydration cement more exhaustive, ettringite (AFt) observed microstructure. addition, generate hydrated calcium silicate (C-S-H) due strong surface energy possessed metakaolin. result above factors, filled voids between particles improved interface structure particles, thus enhanced

Language: Английский

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Innovative anti-fibrotic strategy using a bromelain containing mucoadhesive patch for effective collagen breakdown and cytotoxicity in oral submucous fibrosis

Materials Today Communications, Journal Year: 2024, Volume and Issue: unknown, P. 111307 - 111307

Published: Dec. 1, 2024

Language: Английский

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Study on freeze-thaw resistance of cellulose modified loess based on complex stress state

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 458, P. 139659 - 139659

Published: Dec. 21, 2024

Language: Английский

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