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Now showing items 81-89 of 89
Near Surface Embedded Application for FRCM Strengthening of RC Beams in Flexure
(
Qatar Univesrity Press
, 2020 , Conference Paper)
In this paper, the efficacy of a recent strengthening technique, referred to as Near Surface
Embedded (NSE), has been investigated for flexural strengthening of Reinforced Concrete
(RC) beams using Fabric Reinforced ...
Influence of Water Table Fluctuation on Natural Source Zone Depletion in Hydrocarbon Contaminated Subsurface Environments
(
Qatar Univesrity Press
, 2020 , Conference Paper)
Most of the prediction theories regarding dissolution of organic contaminants in the
subsurface systems have been proposed based on the static water conditions and
the influence of water fluctuations on mass removal requires ...
Predicted and Back-calculated Coefficients of Permeability of Randomly Fractured Rock Mass: A Case Study
(
Qatar Univesrity Press
, 2020 , Conference Paper)
This paper presents the discrepancy between the coefficients of permeability measured
for randomly fractured limestone using field falling-head tests and that back-calculated
for the same rock mass based on the actual ...
An Artificial Intelligence Approach to Estimate Peak-Hour Travel Time
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
Average delays are an example of traffic network performance measures. They can be measured at intersections to estimate the average delay per vehicle at various levels, such as intersection, approach, or lane group. On ...
Operation failure of risk analysis on floating storage and offloading
(
IOP Publishing
, 2023 , Conference Paper)
The need for petroleum in daily life is increasing. The oil comes from the seabed, so it is necessary to have adequate facilities during the exploration and exploitation of crude oil. The process of distributing crude oil ...
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 ...
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 ...
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 ...
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. ...