4.7 Article

Rheological properties of cemented paste backfill and the construction of a prediction model

Related references

Note: Only part of the references are listed.
Article Construction & Building Technology

Fresh and hardened properties of cemented paste backfill: Links to mixing time

Shuai-gang Liu et al.

Summary: This study investigated the influence of mixing time on the properties of cemented paste backfill (CPB). The results showed that longer mixing time can improve the mechanical strength and self-desiccation of CPB, while reducing its hydraulic conductivity. These findings contribute to the design and development of more cost-effective and sustainable CPB structures.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Article Construction & Building Technology

Elucidating how ionic adsorption controls the rheological behavior of quartz and cement-quartz paste

Jizhi Huang et al.

Summary: This study explores how ionic adsorption affects the rheological behavior of quartz and cement-quartz paste. The rheological behavior of quartz suspension is mainly controlled by electric double layer repulsion, with high pH reducing viscosity and divalent ions increasing it. Incorporating quartz as filler reduces the flowability of cement paste due to excessive adsorption of divalent ions and particle flocculation.

CONSTRUCTION AND BUILDING MATERIALS (2021)

Article Engineering, Multidisciplinary

Calibration and Analysis of Mechanical Modeling for Traction Wire Rope of Mountainous Orchard Carrier

Yuping Ouyang et al.

Summary: This paper focuses on the importance of low-cost transporting vehicles in mountain orchards, analyzes the load-bearing characteristics and damage mechanism of wire ropes through mechanical models, and verifies the accuracy of the established mechanics model.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

Article Optics

Wavefront-shaping focusing based on a modified sparrow search algorithm

Shenghang Zhou et al.

Summary: A novel optimization method for wavefront-shaping focusing based on phase modulation is proposed, which achieves higher convergence rate and larger enhancement by introducing crossover and mutation operations. The proposed method is validated through simulation and shown to be robust to noisy environments, outperforming other well-known wavefront-shaping focusing algorithms. This work may offer insights for modifying existing algorithms for focusing applications.

OPTIK (2021)

Article Mathematical & Computational Biology

Optimization of STP Innovation Management Mechanisms Driven by Advanced Evolutionary IoT Arithmetic

Tianxiang Wang et al.

Summary: This paper introduces an effective method for optimizing the high technology policy innovation management mechanism driven by advanced evolutionary IoT algorithms, emphasizing the importance of enhancing national high technology innovation capacity and optimizing high technology policy innovation management in the face of global manufacturing trends and loss of competitive advantage. Through a conceptual analysis and application overview of popular information technologies, such as big data, artificial intelligence, and IoT technologies, this paper proposes the majorization of high technology policy innovation management mechanism with the support of technical advancements in big data and AI.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2021)

Article Construction & Building Technology

Effects of fly ash and limestone powder on the paste rheological thresholds of self-compacting concrete

Song Yang et al.

Summary: The study investigates the effects of fly ash and limestone powder on the rheological thresholds of SCC pastes, and improves the original rheological model by introducing fitting coefficients and intrinsic viscosity to predict the paste yield stress and plastic viscosity thresholds. The modified model accurately predicts the SCP zone of SCC and shows greater accuracy compared to the original model in most cases.

CONSTRUCTION AND BUILDING MATERIALS (2021)

Article Engineering, Industrial

A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine

Shun Jia et al.

Summary: This paper proposes a new method combining sample entropies and relevance vector machine (RVM) to estimate the remaining useful life (RUL) of lithium-ion batteries. Experimental results show that the method with multiple entropy inputs can more accurately describe the battery degradation process, achieving higher prediction accuracy, and has potential for estimating the remaining useful life of industrial machinery.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Article Engineering, Civil

Forecasting the mechanical properties of soilcrete using various simulation approaches

Wael Emad et al.

Summary: The study tested and quantified the effects of two types of polymer modification on soilcrete properties, finding significant improvements in compressive strength and modulus of elasticity. Polymer modification optimized the flowability and stress-strain relationships of the soilcrete.

STRUCTURES (2021)

Article Chemistry, Multidisciplinary

Prediction of Peak Particle Velocity Caused by Blasting through the Combinations of Boosted-CHAID and SVM Models with Various Kernels

Jie Zeng et al.

Summary: This research successfully demonstrates that a combination of boosting-CHAID and SVM models can accurately identify and predict the most effective parameters affecting PPV values, with the radial basis function kernel showing high capability in predicting PPV values.

APPLIED SCIENCES-BASEL (2021)

Article Green & Sustainable Science & Technology

Ultra Short-Term Wind Power Forecasting Based on Sparrow Search Algorithm Optimization Deep Extreme Learning Machine

Guoqing An et al.

Summary: This paper proposes a wind power forecasting method that combines the sparrow search algorithm with the deep extreme learning machine, showing better performance in ultra-short-term forecasting.

SUSTAINABILITY (2021)

Article Mining & Mineral Processing

Effects of water content, water type and temperature on the rheological behaviour of slag-cement and fly ash-cement paste backfill

Yue Zhao et al.

INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2020)

Article Multidisciplinary Sciences

Prediction of Marshall Mix Design Parameters in Flexible Pavements Using Genetic Programming

Alireza Azarhoosh et al.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2020)

Article Materials Science, Multidisciplinary

Factors influencing the pumpability of unclassified tailings slurry and its interval division

Peng Li et al.

INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS (2019)

Article Thermodynamics

Effect of sulfate mine water on the durability of filling paste

Yin Liu et al.

INTERNATIONAL JOURNAL OF GREEN ENERGY (2018)

Article Engineering, Geological

Relevance vector machine-based response surface for slope reliability analysis

S. Li et al.

INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2017)

Article Construction & Building Technology

Yield stress of cement grouts

Mashuqur Rahman et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)

Article Multidisciplinary Sciences

Performance of Photogrammetric and Terrestrial Laser Scanning Methods in Volume Computing of Excavtion and Filling Areas

M. Yakar et al.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2014)

Article Engineering, Environmental

Utilization of industrial waste products as pozzolanic material in cemented paste backfill of high sulphide mill tailings

Bayram Ercikdi et al.

JOURNAL OF HAZARDOUS MATERIALS (2009)

Article Computer Science, Artificial Intelligence

Smooth relevance vector machine: a smoothness prior extension of the RVM

Alexander Schmolck et al.

MACHINE LEARNING (2007)

Article Mechanics

Measuring the yield behaviour of structured fluids

JR Stokes et al.

JOURNAL OF NON-NEWTONIAN FLUID MECHANICS (2004)