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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) ... -
Predicting moisture condensation risk on the radiant cooling floor of an office using integration of a genetic algorithm-back-propagation neural network with sensitivity analysis
(Journal article; Peer reviewed, 2022)Pre-dehumidification time (𝜏�pre ) and pre-dehumidification energy consumption (Epre ) play important roles in preventing the condensation of moisture on the floors of rooms that use a radiant floor cooling (RFC) ... -
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 Models for Thermal Conductivity of Cement-based Composites
(Nordic Concrete Research;No. 58 – 1/2018, Journal article; Journal article; Peer reviewed, 2018-10-25)Cement-based materials are the most consumed materials in the construction industry. Low or high thermal conductive cement-based materials are of interest in applications such as embedded floor heating systems, building ... -
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 seismic damage spectra using computational intelligence methods
(Computers & structures;, Peer reviewed; Journal article, 2021)Predicting seismic damage spectra, capturing both structural and earthquake features, is useful in performance-based seismic design and quantifying the potential seismic damage of structures. The objective of this paper ... -
Prediction of the Eigenperiods of MDOF Shear Buildings Using Neural Networks
(International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering;8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Conference object, 2021)The study of multi-degree of freedom (MDOF) systems is essential to evaluate and understand the seismic response of buildings. Through a MDOF idealization, the dynamic properties of the building such as its natural frequencies ... -
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 ... -
A Preliminary Structural Survey of Heritage Timber Log Houses in Tønsberg, Norway
(Conference object, 2021-11-29)The formulation of a multi-hazard loss model for a given structure is not only of interest for predicting the economic impact of future damage but it can also be of importance for risk mitigation. A methodology that can ... -
Probabilistic approach to assess URM walls with openings using discrete rigid block analysis (D-RBA)
(Journal article; Peer reviewed, 2022)This study aims to improve our current understanding of the seismic assessment of load-bearing unreinforced masonry (URM) systems by proposing a probabilistic computational modeling framework using the discrete element ... -
Probabilistic Assessment of RC Piers Considering Vertical Seismic Excitation Based on Damage Indices
(RILEM Bookseries;, Chapter; Peer reviewed; Conference object; Journal article, 2023)Bridges play a vital role in highway transportation systems and damage to bridges may cause impaired emergency response and economic loss and interrupt the functionality of the systems. Damage to bridge during the last ... -
Pros and cons of various equivalent frame models for nonlinear analysis of URM buildings
(ECCOMAS Congress;8th European Congress on Computational Methods in Applied Sciences and Engineering, Conference object, 2022)Brick masonry is considered as one of the old construction materials, and several cultural heritage assets are made of unreinforced masonry (URM), which is susceptible to earthquakes due to its brittle behavior. The ... -
Pure Random Orthogonal Search (PROS): A Plain and Elegant Parameterless Algorithm for Global Optimization
(Applied Sciences;Volume 11 / Issue 11, Peer reviewed; Journal article, 2021-05-29)A new, fast, elegant, and simple stochastic optimization search method is proposed, which exhibits surprisingly good performance and robustness considering its simplicity. We name the algorithm pure random orthogonal search ... -
A Python-based code for modeling the thermodynamics of the vapor compression cycle applied to residential heat pumps
(Chapter, 2023)Heat pumps are an attractive heating system in residential buildings. They operate based on the vapor compression cycle used in refrigerationsystems. Design questions surrounding heat pumps can be investigated and answered ... -
Quantum optimal control theory applied to transitions in diatomic molecules
(Physical Review A;90(6), Journal article; Peer reviewed, 2014-12-29)Quantum optimal control theory is applied to control electric dipole transitions in a real multilevel system. The specific system studied in the present work is comprised of a multitude of hyperfine levels in the electronic ... -
Reasons to the low use of self-consolidating concrete in Norway
(Journal article; Peer reviewed, 2017)According to several research papers, self-consolidating concrete (SCC) should be able to offer advantages over conventional vibrated concrete (CVC) [1 - 3 ] . Nevertheless, in Norway SCC has a relatively low market ... -
Recent progress in the application of energy technologies in Large-Scale building Blocks: A State-of-the-Art review
(Peer reviewed; Journal article, 2024)The transition to clean and sustainable energy systems in the building sector is vital to reduce global greenhouse gas emissions. In this regard, shifting the focus from single buildings to clusters of buildings, such as ... -
Refined design of ventilation systems to mitigate infection risk in hospital wards: Perspective from ventilation openings setting
(Environmental Pollution;, Peer reviewed; Journal article, 2023)To prevent respiratory infections between patients and medical workers, the transmission risk of airborne pollutants in hospital wards must be mitigated. The ventilation modes, which are regarded as an important strategy ...