Blar i TKD - Institutt for bygg- og energiteknikk på emneord "Artificial neural networks"
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Design of Reinforced Concrete Isolated Footings Under Axial Loading with Artificial Neural Networks
(EUROGEN;Proceedings of the 14th International Conference on Evolutionary and Deterministic Methods For Design, Optimization and Control, Conference object, 2021)In engineering practice, the design of structural elements is a repetitive task that has proven to be difficult to fully automate. This is mainly because of the complex relations of the design variables and the multiple ... -
Effect of Shrinkage Reducing Admixture on Drying Shrinkage of Concrete with Different w/c Ratios
(Materials;Volume 13, Issue 24, Journal article; Peer reviewed, 2020-12-15)The reduction of the moisture content of concrete during the drying process reduces the concrete’s volume and causes it to shrink. In general, concrete shrinkage is a phenomenon that causes concrete volume to dwindle and ... -
Impact of correlation of plug load data, occupancy rates and local weather conditions on electricity consumption in a building using four back-propagation neural network models
(Peer reviewed; Journal article, 2020)This study explores approaches to evaluates correlation how significantly plug load data, occupancy rates, and local weather factors affect the actual electricity consumption of a commercial building in seasonal changes ... -
Investigation of Applicability of Impact Factors to Estimate Solar Irradiance: Comparative Analysis Using Machine Learning Algorithms
(Applied Sciences;Volume 11 / Issue 18, Peer reviewed; Journal article, 2021)This study explores investigation of applicability of impact factors to estimate solar irradiance by four machine learning algorithms using climatic elements as comparative analysis: linear regression, support vector ... -
New empirical approach for determining nominal shear capacity of steel fiber reinforced concrete beams
(Construction and Building Materials;Volume 234, 20 February 2020, 117293, Journal article; Peer reviewed, 2019-10-14)The main objective of this paper is to develop new design formulations for determining shear stress of steel fiber-reinforced concrete (SFRC) beams without stirrups using Gene Expression Programming (GEP) and Artificial ... -
Predicting Compressive Strength of Concrete Containing Recycled Aggregate Using Modified ANN with Different Optimization Algorithms
(Applied Sciences;Volume 11, Issue 2, Journal article; Peer reviewed, 2021-01-06)Using recycled aggregate in concrete is one of the best ways to reduce construction pollu- tion and prevent the exploitation of natural resources to provide the needed aggregate. However, recycled aggregates affect the ... -
Predicting compressive strength of CRM samples using Image processing and ANN
(IOP Conference Series: Materials Science and Engineering;volume 899, Peer reviewed; Journal article, 2020)Quality of concrete is majorly ascertained through its compressive strength which has a significant role in the stability of concrete structures. In this study, artificial neural network (ANN) and image processing (IP) ... -
Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis
(Sustainable Cities and Society (SCS);Volume 83, August 2022, 103981, Peer reviewed; Journal article, 2022-06-14)This study investigates approaches to evaluate prediction and correlation how significantly mechanical and natural ventilation rate and local weather conditions affect the actual ventilation performance of a residential ... -
Prediction models for bond strength of steel reinforcement with consideration of corrosion
(Materials Today: Proceedings;Volume 45, Part 6, Peer reviewed; Journal article, 2021-04-02)Corrosion phenomena is one of the main deterioration causes, which remarkably affects the behavior of structural reinforced concrete (RC) members in seismic regions. Researches on reducing rehabilitation cost, performance ... -
Prediction of properties of FRP-confined concrete cylinders based on artificial neural networks
(Crystals;Volume 10, Issue 9, Journal article; Peer reviewed, 2020-09-14)Recently, the use of fiber-reinforced polymers (FRP)-confinement has increased due to its various favorable effects on concrete structures, such as an increase in strength and ductility. Therefore, researchers have been ... -
Prediction of the Load-Bearing Behavior of SPSW with Rectangular Opening by RBF Network
(Applied Sciences;Volume 10 / Issue 3: Special Issue - Soft Computing Techniques in Structural Engineering and Materials, Journal article; Peer reviewed, 2020-02-10)As a lateral load-bearing system, the steel plate shear wall (SPSW) is utilized in different structural systems that are susceptible to seismic risk and because of functional reasons SPSWs may need openings. In this ... -
Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression
(Peer reviewed; Journal article, 2020)This study compares building electric energy prediction approaches that use a traditional statistical method (linear regression) and artificial neural network (ANN) algorithms. We investigate how significantly occupancy ...