Faculty Contributions: المرسلات الحديثة
السجلات المعروضة 501 -- 520 من 17983
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Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption
( Elsevier , 2024 , Article)The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. This study seeks to assess and examine the ... -
Geospatial assessment of the carbon footprint of water and electricity consumption in residential buildings in Doha, Qatar
( Elsevier , 2024 , Article)The process of estimating the carbon footprint (CF) has become a key method for managing greenhouse gas (GHG) emissions, guiding strategies for emission reduction and validating those strategies. Given the complexity of ... -
Examining the potential and effectiveness of water indices using multispectral sentinel-2 data to detect soil moisture as an indicator of mudflow occurrence in arid regions
( Elsevier , 2024 , Article)This study aims to evaluate the performance and effectiveness of six spectral water indices - derived from Multispectral sentinel-2 data - to detect soil moisture and inundated area in arid regions to be used as an indicator ... -
Experimental detection of localized surface defects in ball bearings using vibration analysis
( Canadian Acoustical Association , 2019 , Conference Paper)This study aimed at the monitoring of bearing health condition, based on vibration measurement. For that purpose, small circular defects were seeded on outer and inner rings of similar bearings, by using the principle of ... -
PREDICTING ROAD ROUGHNESS PROFILE USING DYNAMIC VEHICLE ACCELERATIONS AND ARTIFICIAL NEURAL NETWORKS
( Society of Acoustics , 2022 , Conference Paper)Road roughness can cause ride discomfort and contribute to the emission of ground-borne noise and vibration. A robust monitoring regime of road roughness is essential for the efficient maintenance of a country's road ... -
Optimization of Viscoelastic Metamaterials for Vibration Attenuation Properties
( World Scientific , 2020 , Article)Metamaterials (MMs) are composites that are artificially engineered to have unconventional mechanical properties that stem from their microstructural geometry rather than from their chemical composition. Several studies ... -
Active control of noise in ventilation ducts
( Canadian Acoustical Association , 2019 , Conference Paper)Ventilation ducts are often lined with passive absorption material for both thermal insulation and noise and vibration reduction. However, the noise reduction performance is not significant at low frequencies. Active Noise ... -
Nonlinear analysis of shell structures using image processing and machine learning
( Elsevier , 2023 , Article)In this paper, we propose a novel approach to solve nonlinear stress analysis problems in shell structures using an image processing technique. In general, such problems in design optimisation or virtual reality applications ... -
Publisher Correction: Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates (Journal of Vibration Engineering & Technologies, (2023), 11, 3, (887-897), 10.1007/s42417-022-00614-9)
( Springer , 2023 , Other)The publication of this article unfortunately contained a mistake, the Figs. 12b and 14b were missing. Below you can find the complete Figs. 12b and 14b: The original article has been corrected. -
Gas turbine failure classification using acoustic emissions with wavelet analysis and deep learning
( Elsevier , 2023 , Article)Compared to vibration monitoring, acoustic emission (AE) monitoring in gas turbines is highly sensitive to changes that do not involve whole-body motion, such as wear, rubbing, and fluid-induced faults. AE signals captured ... -
Using probabilistic neural networks for modeling metal fatigue and random vibration in process pipework
( John Wiley and Sons Inc , 2022 , Article)Many experiments are usually needed to quantify probabilistic fatigue behavior in metals. Previous attempts used separate artificial neural network (ANN) to calculate different probabilistic ranges which can be computationally ... -
Fault classification using convolutional neural networks and color channels for time-frequency analysis of acoustic emissions
( SAGE Publications Inc. , 2023 , Article)We present a novel method for real-time fault classification using the time history of acoustic emissions (AEs) recorded from a lab-scale gas turbine operating under normal and faulty conditions across multiple turbine ... -
Investigating the effect of using softer rail-pads on ground-borne vibration from underground railways
( Taylor and Francis Ltd. , 2023 , Article)In this study, a series of vibration measurements were performed on a section of one of the lines of the Doha Metro to explore the effect of changing rail-pads from conventional higher stiffness under-rail pads to lower ... -
A MEASUREMENT CAMPAIGN TO INVESTIGATE THE EFFECT OF USING SOFT RAILPADS ON GROUND-BORNE VIBRATIONS FROM UNDERGROUND RAILWAYS
( Society of Acoustics , 2023 , Conference Paper)Railway networks may run through or beneath populated regions and significant landmarks. Hence, the ground-borne vibration caused by the trains might affect nearby buildings, residents, and the sensitive equipment within ... -
Reconstruction of Road Defects from Dynamic Vehicle Accelerations by Using the Artificial Neural Networks
( Springer Science and Business Media B.V. , 2023 , Conference Paper)Monitoring of roads is considered the first step in establishing a successful road maintenance program, which includes scheduling adequate maintenance to a certain road section at the right time. Road monitoring assesses ... -
MODAL CHARACTERIZATION AND ROAD ROUGHNESS RECONSTRUCTION USING DYNAMIC VEHICLE ACCELERATIONS AND ANNS
( National Technical University of Athens , 2023 , Conference Paper)Road networks are considered huge and critical infrastructures that support the development and growth of societies. These infrastructures deteriorate over time due to regular usage and/or external environmental factors. ... -
Design and testing of a hybrid electromagnetic damping device for automotive applications
( Elsevier , 2024 , Article)This study proposes a new design concept for combining a viscous fluid damper (VFD) with an eddy current damper (ECD). Three main concepts were thoroughly discussed: the magnetic system, the conductive material, and the ... -
Road Profile Estimation Using Full/Quarter-Car Model with Artificial Neural Networks
( Springer Science and Business Media Deutschland GmbH , 2024 , Conference Paper)The monitoring of road roughness is one of the first and most critical steps in road maintenance. Road networks need constant maintenance to function properly and avoid any hazardous accidents or blockage of the traffic ... -
Classification of Process Pipework Vibration Using Machine Learning
( Springer Science and Business Media Deutschland GmbH , 2024 , Conference Paper)This paper aims to use a deep convolution neural network (CNN) to classify pipework vibrations. Vibration levels are a good indicator of the risk of vibration-induced fatigue failures (VIF). Vibrations in pipework are very ... -
Optimising stop-bands in periodic waveguides using genetic algorithms and wave finite element method
( American Institute of Physics , 2024 , Conference Paper)In this paper, we propose using the wave finite element method and genetic algorithms to design periodic waveguide structures with optimal stop-bands. Instead of modelling waveguides using the standard finite element method, ...
