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Related papers: Practical Analysis of Permeable Concrete Propertie…

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Permeable pavement material can benefit urban environment. Here in this work, different aggregate sizes and mix proportions were used to manufacture pervious pavement concrete and investigate correlations among its properties. The porosity,…

Materials Science · Physics 2024-06-10 Qifeng Lyu , Pengfei Dai , Anguo Chen

In this paper, the effectiveness utilization of agriculture wastes and industrial wastes in the composites cement has been studied in terms of physical and mechanical properties. Twenty weight percent of fly ash and eighty weight percent of…

Materials Science · Physics 2017-05-02 N. I. M. Nadzri , J. B. Shamsul , M. N. Mazlee

Maintaining and restoring buildings has nowadays gained special importance due to its high cost. Various different methods have been presented regarding this matter due to the above-mentioned reason and also the ever-growing demand for the…

Applied Physics · Physics 2018-09-06 Mohammad Rashidi , Hana Takhtfirouzeh

Concrete is the most widely used construction material worldwide; however, reliable prediction of compressive strength remains challenging due to material heterogeneity, variable mix proportions, and sensitivity to field and environmental…

Machine Learning · Computer Science 2026-01-15 Md Asiful Islam , Md Ahmed Al Muzaddid , Afia Jahin Prema , Sreenath Reddy Vuske

Structural materials are broadly used in applications such as nuclear vessels, high-temperature processes, and civil construction. Usually, during their placing and lifespan, they may present free or chemically bonded liquid phases in their…

Materials Science · Physics 2021-03-29 M. H. Moreira , R. F. Ausas , S. Dal Pont , P. I. Pelissari , A. P. Luz , V. C. Pandolfelli

This research develops and evaluates machine learning models to predict the mechanical properties of steel-polypropylene fiber-reinforced high-performance concrete (HPC). Three model families were investigated: Extra Trees with XGBoost…

Machine Learning · Computer Science 2025-12-29 Jagaran Chakma , Zhiguang Zhou , Badhan Chakma

Porosity has been identified as the key indicator of the durability properties of concrete exposed to aggressive environments. This paper applies ensemble learning to predict porosity of high-performance concrete containing supplementary…

Machine Learning · Computer Science 2022-12-06 Chong Cao

Values of water permeability for cementitious materials reported in the literature show a large scatter. This is partially attributed to the fact that materials used in different studies are different. To eliminate the effects of cements,…

Applied Physics · Physics 2018-10-23 Zhidong Zhang , George Scherer

A method is presented for the evaluation of the permeability-porosity relationship in a low-permeability porous material using the results of a single transient test. This method accounts for both elastic and non-elastic deformations of the…

Geophysics · Physics 2009-03-16 Siavash Ghabezloo , Jean Sulem , Jérémie Saint-Marc

The demand for building material is ever increasing owing to population growth. Compacted clay bricks are an important integral building material especially for low cost durable and affordable housing segment. This is a valued building…

High permeability of pervious concrete (PC) makes it a special type of concrete utilised for certain applications. However, the complexity of the behaviour and properties of PC leads to costly, time consuming and energy demanding…

Computational Engineering, Finance, and Science · Computer Science 2024-04-05 Ismail B. Mustapha , Zainab Abdulkareem , Muyideen Abdulkareem , Abideen Ganiyu

We investigate engineering applications of recycled nylon fibers obtained from waste fishing nets, focusing our attention on the use of recycled nylon fibers as tensile reinforcement of cementitious mortars. We begin by characterizing the…

Applied Physics · Physics 2020-02-05 Saverio Spadea , Ilenia Farina , Anna Carrafiello , Fernando Fraternali

Ceramic based materials covered with a mixture of mullite and zircon on the top, strengthened by the addition of zinc and magnesium compounds at different rates (37 % and 50 %) and made by a co-precipitation method are studied. The…

Applied Physics · Physics 2020-06-03 D. Bouras , A. Mecif , R. Barille , A. Harabi , M. Zaabat

With the rising threat of ballistic impacts, it is critical to devise a solution that is both efficient and economical. Recently, Polymer Matrix Sand Composites (PMSCs) have emerged as a viable cost-effective option. This ongoing research…

In this paper, the impact behaviour of composite laminates is investigated, and their potential for ballistic protection assessed, as a function of the reinforcing materials and structures for three representative fibre-reinforced epoxy…

Applied Physics · Physics 2021-10-01 Stefano Signetti , Federico Bosia , Seunghwa Ryu , Nicola M. Pugno

Development of robust concrete mixes with a lower environmental impact is challenging due to natural variability in constituent materials and a multitude of possible combinations of mix proportions. Making reliable property predictions with…

Machine Learning · Computer Science 2023-04-25 Jessica C. Forsdyke , Bahdan Zviazhynski , Janet M. Lees , Gareth J. Conduit

Permeability measured on three samples in a triaxial cell under effective confining pressure from 0.2 to 2.5 MPa ranges from 10E-18 to 10E-19m2. Overall, results indicate that permeability decreases with effective confining pressure up to…

Geophysics · Physics 2016-08-16 Sylvain Bourlange , Laurence Jouniaux , Pierre Henry

This study investigates the effect of formulation, density and water content on the thermal conductivity of hemp concretes. The investigations are based on experimental measurements and on self-consistent scheme modelling. The thermal…

Materials Science · Physics 2014-06-13 Florence Collet , Sylvie Prétot

Advances in technology have provided fresh generations of stiff polypropylene block copolymers for gravity sewerage applications. The aim of this study is to further enhance the stiffness of these materials through the incorporation of…

Despite enormous efforts over the last decades to establish the relationship between concrete proportioning and strength, a robust knowledge-based model for accurate concrete strength predictions is still lacking. As an alternative to…

Machine Learning · Computer Science 2020-05-01 Boya Ouyang , Yuhai Li , Yu Song , Feishu Wu , Huizi Yu , Yongzhe Wang , Mathieu Bauchy , Gaurav Sant
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