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Multi-target prediction of concrete engineering

2021-5-8  engineering performance of concrete, most of the efforts focus on predicting single properties (mostly the 28-day strength). However, the proper design and use of concrete in real construction ... train the model in a way to enable it to predict multiple properties of a given concrete mix design, including slump and air content of the fresh ...

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Multi-target prediction of concrete engineering properties

Multi-target prediction of concrete engineering properties based on a single deep learning model. This publication is part of the proceedings of the Biot-Bažant Conference on Engineering Mechanics and Physics of Porous Materials, which took place virtually on June 1-3, 2021. It contains a one-page abstract and the video of the talk that was ...

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[PDF] Prediction of Concrete Properties Using Multiple

2018-7-1  The aim of this study is to predict the slump along with 7-days 28-days compressive strength based on the data collected from various RMC plants based on multiple Linear Regression and Artificial Neural Network models. The selection of appropriate type and grade of concrete for a particular application is the critical step in any construction project. Workability

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Multitarget prediction—A new approach using sphere

2019-3-1  This paper proposes a multitarget prediction approach using a new type of sphere complex fuzzy sets. The proposed model can adjust the number of outputs depending on the application. Moreover, a corresponding feature selection algorithm based on influence information and selection gain is proposed to solve the problem of cross-target feature ...

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Multitarget prediction—A new approach using sphere

2019-3-1  This paper proposes a multitarget prediction approach using a new type of sphere complex fuzzy sets. The proposed model can adjust the number of outputs depending on the application. Moreover, a corresponding feature selection algorithm based on influence information and selection gain is proposed to solve the problem of cross-target feature ...

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Multi-Target Prediction: A Unifying View on Problems and

2018-9-7  Multi-target prediction (MTP) is concerned with the simultaneous prediction of multiple target variables of diverse type. Due to its enormous application potential, it has developed into an active and rapidly expanding research field that combines several subfields of machine learning, including multivariate regression, multi-label classification, multi-task learning, dyadic

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Machine learning prediction of mechanical properties of

2020-11-10  2. Prediction of mechanical properties of concrete. ML models have been extensively used as an effective tool for forecasting mechanical properties of concrete. Those models are typically applied to an extensive dataset, which is generally divided into training (TR), validation (VAL), and testing (TS) subsets.

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Machine learning prediction of mechanical properties of

2020-11-10  Abstract. Accurate prediction of the mechanical properties of concrete has been a concern since these properties are often required by design codes. The emergence of new concrete mixtures and applications has motivated researchers to pursue reliable models for predicting mechanical strength. Empirical and statistical models, such as linear and ...

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Prediction of the compressive strength of concrete using

2022-1-20  Concrete is one of the most essential construction materials used in construction industry. For assessment of concrete strength and quality, compressive strength is the most frequently utilized parameter. This paper establishes the application of Gaussian process, M5P model, random forest and random tree techniques for appropriate proportioning of the

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(PDF) Multiple Regression Model for Compressive

2009-1-1  Civil Engineering; High Performance Concrete; ... it was possible to obtain a model that can predict the cement strength with standard errors of only 1.887 and 1.904 MPa and coefficients of ...

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(PDF) Prediction of Concrete Properties Using Multiple

2018-3-1  PDF The selection of appropriate type and grade of concrete for a particular application is the critical step in any construction project. Workability... Find, read and

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Multi-Target Prediction: A Unifying View on Problems and

2018-9-7  Multi-target prediction (MTP) is concerned with the simultaneous prediction of multiple target variables of diverse type. Due to its enormous application potential, it has developed into an active and rapidly expanding research field that combines several subfields of machine learning, including multivariate regression, multi-label classification, multi-task learning, dyadic

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Multiple mechanical properties prediction of hydraulic

2019-5-20  To reduce the bias between the complete data set and training set (testing set), the K-fold cross-validation method is regarded as the scientific evaluation method for the prediction models.This method divides the raw data into K subsets. Each subset of data is used as a testing set and the rest of the K−1 data subsets are regarded as a training set (shown in Fig. 1).

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Prediction of Properties of Concrete Cured Under Hot

2020-2-18  Prediction of Properties of Concrete Cured Under Hot Weather Using Multivariate Regression and ANN Models Muhammad Nasir 1 Uneb Gazder 2 Mohammed Maslehuddin 3 Omar S. Baghabra Al-Amoudi 4

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Prediction of recycled coarse aggregate concrete

2021-10-20  Prediction of recycled coarse aggregate concrete mechanical properties using multiple linear regression and artificial neural network October 2021 Journal of Engineering Design and Technology ...

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(PDF) Strength Prediction Model for Concrete

2013-8-1  This paper presents a simple mathematical model to predict the compressive strength of concrete at 28 day from early age (say 7 days) results. The model is a simple equation (a rational polynomial ...

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Engineering properties of controlled low-strength

2013-9-1  Ordinary Type I Portland cement conforming to ASTM C150 Type I Portland cement standards was used in this investigation. The fly ash was Class F fly ash produced by a thermal power plant, the fineness + 325 meshes is 27.4%, satisfy the standard requirements of max 34%.The Activity Index on Day 28 is 76.4% satisfy the standard requirements of min 75%. the

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Effective Prediction of Thermal Conductivity of Concrete

2012-9-20  In civil engineering, ... M. I. (2002). Factors affecting the thermal properties of concrete and applicability of its prediction models. Building and ... J. J., Lee, J. H., Chang, S. K. (2005). Application of probabilistic neural networks for prediction of concrete strength. Journal of Materials in Civil Engineering,17(3), 353–362 ...

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Prediction of Elastic Properties of Cementitious Materials

In order to improve prediction accuracy, the model included the effect of ettringite on the elastic properties in addition to the other major hydration products. Instead of considering cement clinker as an isotropic and homogeneous material, this study

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Main Properties of Concrete for Construction - Civil

2022-7-17  Main Properties of Concrete for Construction. Concrete is a mixture of several materials. At the hardened state, this heterogeneous material becomes stone-like mass. The extensive use of concrete in the construction field has made it a material of huge concern for engineers. To participate in the vast uses of concrete an engineer must know its ...

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Design of Experiment on Concrete Mechanical Properties

2021-4-9  1. Introduction. Design of Experiment (DoE) is an effective tool for handling multiple variables in problem solving [].The method has been used to improve experimentation performance in engineering, services, and manufacturing industries [].Traditionally, problems with multiple variables are solved using the “one variable at a time” (OVAT) approach, which holds

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Prediction of Mechanical Properties of Concrete Made

T1 - Prediction of Mechanical Properties of Concrete Made with Recycled Concrete Aggregates Using Statistical Analysis of Data Available in Literature. AU - Jayasuriya, Anuruddha. AU - Chen, Tola. AU - Shibata, Emily. AU - Adams, Matthew P. PY - 2020/1/1. Y1 - 2020/1/1

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Engineering properties of concrete with polystyrene granules

2018-1-1  3. Results and discussions The density of concrete with fly ash and polystyrene granules varies between 1880 and 2131 kg/m3. All values are smaller than the initial state of control mix that was 2250 kg/m3. Three of five compositions have density of lightweight concrete, Table 2. Table 2.

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Mechanical Properties and Service Life Prediction of

2018-2-13  Under the condition of drying and wetting circulation, ordinary concrete, modified concrete containing fly ash, and double-admixture concrete containing fly ash and polypropylene fiber were corroded in the solution of Na2SO4 and (NH4)2SO4. The sulfate concentration of the solution

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Effective Prediction of Thermal Conductivity of Concrete

2012-9-20  In civil engineering, ... M. I. (2002). Factors affecting the thermal properties of concrete and applicability of its prediction models. Building and ... J. J., Lee, J. H., Chang, S. K. (2005). Application of probabilistic neural networks for prediction of concrete strength. Journal of Materials in Civil Engineering,17(3), 353–362 ...

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Engineering properties of geopolymer concrete

2009-1-1  This chapter describes the engineering properties of heat-cured low-calcium fly ash-based geopolymer concrete. Low-calcium (ASTM Class F) fly ash is preferred as a source material than high-calcium (ASTM Class C) fly ash. The presence of calcium in high amounts may interfere with the polymerisation process and alter the microstructure ( Gourley ...

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Prediction of concrete compressive strength: Research

2014-1-1  The experimental data sets were obtained from the University of California, Irvine (UCI) .Totally 180 of 28 days concrete compressive strength were used, in which150 were used for training and other 30 were used for testing in ANN, GA-ANN and ANFIS models.All tests were performed on 15 cm cylindrical specimens of concrete prepared by using standard procedures.

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Concrete Properties - Engineering ToolBox

2022-6-24  Properties of normal strength Portland cement concrete. Sponsored Links. Typical properties of normal strength Portland cement concrete: Density - ρ : 2240 - 2400 kg/m3 (140 - 150 lb/ft3) Compressive strength : 20 - 40 MPa (3000 - 6000 psi) Flexural strength : 3 - 5 MPa (400 - 700 psi) Tensile strength - σ : 2 - 5 MPa (300 - 700 psi)

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Factors affecting the thermal properties of concrete

2002-6-1  In total, 24 concrete specimens were cast; six specimens with each type of coarse aggregate (three with each type of fine aggregate). After 24 h of casting all mortar and concrete specimens were demoulded and kept for curing in an open water tank, at ambient temperature (approximately 24±4°C). After 27 days of curing, the surfaces of all the ...

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Prediction of chemical-protein interactions: multitarget

Elucidation of chemical-protein interactions (CPI) is the basis of target identification and drug discovery. It is time-consuming and costly to determine CPI experimentally, and computational methods will facilitate the determination of CPI. In this

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