Strength

This study also contributes to reducing environmental pollution caused by plastic and glass waste as well as current construction brick production methods. The results show that the bulk density, compressive strength, and bending strength of brick samples made from PET plastic and glass waste are higher than those of burnt clay brick samples, while water absorption is much smaller than that of burnt clay brick samples.

8p viengfa 28-10-2024 0 0   Download

This study delves into the application of machine learning (ML), specifically a Gradient Boosting (GB) model, for predicting the punching shear strength (PSS) of two-way reinforced concrete flat slabs.

16p viengfa 28-10-2024 2 1   Download

In this study, our primary aim is to assess and compare the efficacy of Support Vector Machines (SVM) employing various kernel functions: linear (LIN), polynomial (POL), Radial Basis Function (RBF), and sigmoid (SIG) in predicting the compressive strength of concrete.

14p viengfa 28-10-2024 2 2   Download

The present paper also includes strength prediction models that consider the influence of curing temperature. In addition, the Thermogravimetry analysis (TGA) used to determine the chemically bound water content in cement-treated soil and the X-ray diffraction (XRD) test to explain the chemical mechanism in cement-treated soil are also mentioned.

18p viengfa 28-10-2024 1 1   Download

Asphalt concrete pavement often appears damaged such as rutting, fatigue crack, potholes, etc. at high air temperature, heavy rain in long time, or at locations with high traffic, large horizontal force, and poor-quality construction sites. T This paper presents an evaluation of shear bond strength of double-layer asphalt samples fabricated by shear test device with normal pressure.

8p viengfa 28-10-2024 2 1   Download

An analytical approach for nonlinear buckling of functionally graded graphene platelet reinforced composite toroidal shell segments is presented in this paper. The Ritz energy procedure is executed, and radial pressure– deflection expression is constituted to obtain the postbuckling strength and critical buckling pressure of the shells.

7p viengfa 28-10-2024 3 1   Download

In this study, we propose a machine learning technique for estimating the shear strength of CRC beams across a range of service periods. To do this, we gathered 158 CRC beam shear tests and used Artificial Neural Network (ANN) to create a forecast model for the considered output.

12p viengfa 28-10-2024 3 2   Download

In this study, an artificial neural networkbased Bayesian regularization (ANN) model is proposed to predict the compressive strength of concrete. The database in this study includes 208 experimental results synthesized from laboratory experiments with 9 input variables related to temperature change and design material composition.

12p viengfa 28-10-2024 1 1   Download

Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets.

11p viengfa 28-10-2024 2 2   Download

This review paper aims to summarize the existing research to identify the main factors influencing the mechanical characteristics of cement-treated soil, specifically unconfined compressive strength (UCS), tensile strength, and modulus of elasticity.

17p viengfa 28-10-2024 2 1   Download

This article presents a numerical investigation focusing on the temperature distribution of first-stage turbine rotor blades that do not feature internal cooling channels. The results indicate the regions of peak temperatures and evaluate rotor blade strength.

10p viengfa 28-10-2024 1 1   Download

The study is a complement to the studies of the tensile strength of cement paste backfill gradually becoming complete. Evaluate the reliability of the proposed model and analyze the influence of the components on the tensile strength. At the same time, the study is also interested in the influence of the components.

9p viengfa 28-10-2024 3 1   Download

Rubberized concrete is a material that is both ecologically friendly and sustainable, and it has been finding more and more usage in building applications recently. In this study, a machine learning model, namely LightGBM, is developed to predict rubberized concrete's compressive strength (CS) using 11 input parameters.

18p viengfa 28-10-2024 2 1   Download

This study focuses on optimizing the hyperparameters of the XGB model by a grid search to find an optimal XGB predictive model. In addition, the effect of input parameters on the SCCRF's CS is studied using Shapley Additive exExplanations (SHAP) values technique.

14p viengfa 28-10-2024 3 2   Download

This study seeks to develop a prediction model to estimate the bond strength of FRP bars in concrete, utilizing an extended dataset from 1010 pull-out tests. Initially, the study evaluates the applicability of several bond strength formulas from existing codes.

16p vibecca 01-10-2024 3 0   Download

This research investigates the properties of concrete utilizing coal mine waste rock (CMWR) as a substitute for river sand. The workability of fresh concrete is assessed through slump tests, revealing a decrease in a slump as the percentage of CMWR replacement increases.

13p vibecca 01-10-2024 0 0   Download

High-volume fly ash mortar is considered a "green" material, a sustainable development solution for the construction industry, in which the fly ash replacement Portland cement content is over 50%. However, this material has the major disadvantage of slow strength development, especially at an early age, which limits its applicability.

10p vibecca 01-10-2024 0 0   Download

This paper presents an experimental investigation into the tensile strength degradation in curved glass and carbon reinforcement of TRC specimens. The results show that the ultimate tensile load decreases as the diameter of the semi-circle parts reduce.

10p vibecca 01-10-2024 3 0   Download

A truss model supplementing the concrete contribution is introduced in this paper to predict the shear strength of concrete beams reinforced with various types of FRP bars. The contributions from truss and direct strut mechanisms are considered in the analytical model. The truss model which has struts at various angles considering concrete contribution is derived in this paper.

13p vibecca 01-10-2024 1 0   Download

The scope of this work is threefold: (i) to develop a new model within the framework of hydro-mechanical – damage coupling that can account for the coupling between microcrack (damage), water diffusion and shrinkage at stake for concrete secondary creep; (ii) to implement it in an existing hydro-damage lattice model; (iii) to validate the model with respect to the flexural creep of Fiber Reinforced Concrete (FRC) and Mortars under high sustained load level.

12p vibecca 01-10-2024 2 1   Download