The Experts below are selected from a list of 129 Experts worldwide ranked by ideXlab platform
Ottar L. Osen - One of the best experts on this subject based on the ideXlab platform.
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SSCI - Grey wolf optimizer (GWO) for automated offshore crane design
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016Co-Authors: Ibrahim A. Hameed, Ottar L. OsenAbstract:In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the Load can be moved horizontally in one or more directions and vertically. Designing and building offshore cranes is a very complex process. It depends on the configuration of a large set of design parameters and is characterized by increased workability and functionality for the owner and cost effectiveness in the total cost of ownership. In an attempt to reduce time and cost involved in the design process, this paper defines a best set of design parameters and uses GWO for the automatic configuration of this set of parameters in a manner that increases the maximum Safe Working Load of the crane and reduces its total weight. Results are verified by a comparative study with other Evolutionary Algorithms (EAs). Results show that the GWO algorithm is able to provide very competitive results compared to these well-known meta-heuristics.
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Grey wolf optimizer (GWO) for automated offshore crane design
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016Co-Authors: Ibrahim A. Hameed, Ottar L. OsenAbstract:In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the Load can be moved horizontally in one or more directions and vertically. Designing and building offshore cranes is a very complex process. It depends on the configuration of a large set of design parameters and is characterized by increased workability and functionality for the owner and cost effectiveness in the total cost of ownership. In an attempt to reduce time and cost involved in the design process, this paper defines a best set of design parameters and uses GWO for the automatic configuration of this set of parameters in a manner that increases the maximum Safe Working Load of the crane and reduces its total weight. Results are verified by a comparative study with other Evolutionary Algorithms (EAs). Results show that the GWO algorithm is able to provide very competitive results compared to these well-known meta-heuristics.
Stefano Grigolato - One of the best experts on this subject based on the ideXlab platform.
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Skyline tensile force monitoring of mobile tower yarders operating in the Italian Alps
European Journal of Forest Research, 2019Co-Authors: Omar Mologni, C. Kevin Lyons, Giulio Zambon, Andrea R. Proto, Giuseppe Zimbalatti, Raffaele Cavalli, Stefano GrigolatoAbstract:This study analysed the skyline tensile forces in 502 complete work cycles during ordinary cable logging operations on 12 different cable lines in the Italian Alps. The objectives of the research were to quantify the frequency of exceeding the recommended Safe Working limits and to determine the skyline peak tensile forces and dynamic amplifications, as well as their explanatory variables. Data collection was based on skyline tensile force monitoring synchronized with the video recording of the logging operations and the monitoring of the carriage positions. The Load volumes were measured at the landing, and the total Loads were estimated for each cycle. The results showed 55% of the work cycles exceeding the Safe Working Load. The highest peak tensile forces were often recorded while starting the Load moving during lateral skid. High-peak tensile forces were also recorded during inhaul, where the tensile forces were amplified by the cyclic Load behaviour. It appears that some operators underestimate the effects of pretension, payLoad, and cable line geometry on the magnitude of the skyline tensile force. The complexity in identifying reliable theoretical models inclusive of dynamic amplifications and the inefficacy of the Load limiters installed on the machines highlighted the need to improve the best practices within the operators, and to adopt technical solutions for the continuous skyline tensile force monitoring during ordinary cable logging operations.
Natascia Magagnotti - One of the best experts on this subject based on the ideXlab platform.
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Skyline tension, shock Loading, payLoad and performance for a European cable yarder using two different carriage types
European Journal of Forest Research, 2017Co-Authors: Raffaele Spinelli, Enrico Marchi, Rien Visser, Hunter Harrill, Raimondo Gallo, Martina Cambi, Francesco Neri, Carolina Lombardini, Natascia MagagnottiAbstract:The authors describe a study conducted under controlled conditions, with the goal of analysing the dynamic tension in the skyline of a yarder resulting from hauling known Loads. The rigging was a classic three-cable configuration common to European yarder operations; with a single-span standing skyline and the mainline and haulback used to move the carriage back and forth along the span. Two carriage types were used to gauge tension differences between clamped (Hochleitner BW4000) and unclamped (SEIK Skybull 30/60) carriages. Tension was recorded at 0.5-s intervals through a measuring device with a nominal measuring range of 200 kN. Results showed that: (1) The recommended Safe Working Load (Safety factor = 3) was often exceeded by peak Loads during lateral skidding and inhaul; (2) the endurance limit of the skyline was never reached; and (3) the Skyline XL software used for payLoad calculation grossly overestimated payLoad potential. Since study conditions could be considered representative of some commercial yarding operations in the European Alps, this finding suggests that local loggers may operate within Safe limits considering the engineering properties of wire rope, while formally exceeding legal requirements.
Ibrahim A. Hameed - One of the best experts on this subject based on the ideXlab platform.
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SSCI - Grey wolf optimizer (GWO) for automated offshore crane design
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016Co-Authors: Ibrahim A. Hameed, Ottar L. OsenAbstract:In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the Load can be moved horizontally in one or more directions and vertically. Designing and building offshore cranes is a very complex process. It depends on the configuration of a large set of design parameters and is characterized by increased workability and functionality for the owner and cost effectiveness in the total cost of ownership. In an attempt to reduce time and cost involved in the design process, this paper defines a best set of design parameters and uses GWO for the automatic configuration of this set of parameters in a manner that increases the maximum Safe Working Load of the crane and reduces its total weight. Results are verified by a comparative study with other Evolutionary Algorithms (EAs). Results show that the GWO algorithm is able to provide very competitive results compared to these well-known meta-heuristics.
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Grey wolf optimizer (GWO) for automated offshore crane design
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016Co-Authors: Ibrahim A. Hameed, Ottar L. OsenAbstract:In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the Load can be moved horizontally in one or more directions and vertically. Designing and building offshore cranes is a very complex process. It depends on the configuration of a large set of design parameters and is characterized by increased workability and functionality for the owner and cost effectiveness in the total cost of ownership. In an attempt to reduce time and cost involved in the design process, this paper defines a best set of design parameters and uses GWO for the automatic configuration of this set of parameters in a manner that increases the maximum Safe Working Load of the crane and reduces its total weight. Results are verified by a comparative study with other Evolutionary Algorithms (EAs). Results show that the GWO algorithm is able to provide very competitive results compared to these well-known meta-heuristics.
Omar Mologni - One of the best experts on this subject based on the ideXlab platform.
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Skyline tensile force monitoring of mobile tower yarders operating in the Italian Alps
European Journal of Forest Research, 2019Co-Authors: Omar Mologni, C. Kevin Lyons, Giulio Zambon, Andrea R. Proto, Giuseppe Zimbalatti, Raffaele Cavalli, Stefano GrigolatoAbstract:This study analysed the skyline tensile forces in 502 complete work cycles during ordinary cable logging operations on 12 different cable lines in the Italian Alps. The objectives of the research were to quantify the frequency of exceeding the recommended Safe Working limits and to determine the skyline peak tensile forces and dynamic amplifications, as well as their explanatory variables. Data collection was based on skyline tensile force monitoring synchronized with the video recording of the logging operations and the monitoring of the carriage positions. The Load volumes were measured at the landing, and the total Loads were estimated for each cycle. The results showed 55% of the work cycles exceeding the Safe Working Load. The highest peak tensile forces were often recorded while starting the Load moving during lateral skid. High-peak tensile forces were also recorded during inhaul, where the tensile forces were amplified by the cyclic Load behaviour. It appears that some operators underestimate the effects of pretension, payLoad, and cable line geometry on the magnitude of the skyline tensile force. The complexity in identifying reliable theoretical models inclusive of dynamic amplifications and the inefficacy of the Load limiters installed on the machines highlighted the need to improve the best practices within the operators, and to adopt technical solutions for the continuous skyline tensile force monitoring during ordinary cable logging operations.
