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Now showing items 5851-5860 of 5924
Replacement policies for a parallel system with shortage and excess costs
(
Elsevier Ltd
, 2016 , Article)
It has been assumed in most maintenance models that (i) the number of units for a parallel system can be predefined precisely, (ii) maintenance cost after failure should be avoided, and (iii) age replacement can always be ...
Modeling and optimization of biogas production from a waste digester using artificial neural network and genetic algorithm
(
Elsevier B.V.
, 2009 , Article)
Artificial neural networks (ANNs) and genetic algorithms (GA) are considered among the latest tools that are used to solve complicated problems that cannot be solved by conventional solutions. The present study utilizes ...
A Property Based Approach for Simultaneous Process and Molecular Design
(
Elsevier B.V.
, 2009 , Article)
In this work, property clustering techniques and group contribution methods are combined to enable simultaneous consideration of process performance requirements and molecular property constraints. Using this methodology, ...
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, ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...