Blar i TKD - Institutt for bygg- og energiteknikk på tittel
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Performance assessment of all-air heating in an office cubicle equipped with an active supply diffuser in a cold climate
(Building and Environment;Volume 156, June 2019, Pages 123-136, Journal article; Peer reviewed, 2019-04-12)Low-temperature space heating systems play a prominent role in improving the indoor air quality (IAQ) and thermal comfort of energy efficient buildings in cold-climate countries such as Norway. All-air heating (AAH) systems ... -
Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations
(Peer reviewed; Journal article, 2023)Seismic analysis of historical masonry bridges is important for authorities in all countries hosting such cultural heritage assets. The masonry arch bridge investigated in this study was built during the Roman period and ... -
Phase field model for mixed mode fracture in concrete
(Peer reviewed; Journal article, 2023)Concrete is a quasi-brittle material and generally fails in mixed mode I-II fracture. The fracture energy release in mode I and mode II during crack propagation is usually different. However, the tensile test fracture ... -
Phonon Transport Characteristics of Nano-Silicon Thin Films Irradiated by Ultrafast Laser under Dispersion Relation
(Peer reviewed; Journal article, 2024)The gray model simplifies calculations by ignoring phonon polarization, but sacrifices a certain level of computational accuracy. In effect, the frequency and wavevector of phonons form complex polarization patterns, which ... -
Pipe losses : A numerical study using Computational Fluid Dynamics
(Bachelor thesis, 2018-05-22)This report contains the results from the simulations done in STAR-CCM+ to predict pipe losses, including a validation case with straight smooth/rough pipes, and smooth pipes with 90 degree bends. Results show excellent ... -
POD-interpolation based prediction of indoor airflows
(SINTEF proceedings;No 5, Journal article; Peer reviewed, 2020)This work reports a proper orthogonal decomposition (POD)-interpolation based prediction of indoor airows related to displacement ventilation. Steadystate computational uid dynamics (CFD) solution snapshots with varying ... -
Poretrykks- og stabilitetsanalyse for Dam Storvatn og bevaring av damstabilitet.
(Bachelor thesis, 2019)Det er mange fyllingsdammer i Norge, noen ble bygd så lenge som 300 år siden. Dette betyr at det er en del damanlegg som ble bygd med utilstrekkelig, eller begrensede ressurser og før ordentlig lovverk ble fastsatt. Det ... -
Post-COVID ventilation design: Infection risk-based target ventilation rates and point source ventilation effectiveness
(Peer reviewed; Journal article, 2023)Ventilation, air filtration and disinfection have been found to be the main engineering measures to control the airborne respiratory infection transmission in shared indoor spaces. Wells-Riley model modifications allow to ... -
Pozzolanisk høyfast betong med tilgjengelige materialer
(Bachelor thesis, 2019)Denne bacheloroppgaven omhandler muligheten for å produsere pozzolanisk høyfast betong, med tilstrekkelig støpelighet, trykkfasthet innenfor definisjonsområdet gitt i Eurokode 2, og som utnytter tilgjengelige materialer ... -
Pre-code RC bare frame: Seismic retrofit with alternative strategies
(AIP Conference Proceedings; Volume 2293, Issue 1, Journal article; Peer reviewed, 2020-11-25)In the last fifty years, a significant number of earthquakes that caused great economic losses and casualties have been recorded. In particular, in the last ten years, many seismic events occurred, and their medium magnitude ... -
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) ... -
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 ...