The Experts below are selected from a list of 173610 Experts worldwide ranked by ideXlab platform
Leonardi Nicoletta - One of the best experts on this subject based on the ideXlab platform.
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Dataset of Numerical Modelling results of wave thrust on salt marsh boundaries with different seagrass coverages in a shallow back-barrier estuary.
'Elsevier BV', 2019Co-Authors: Donatelli Carmine, Ganju, Neil K, Kalra, Tarandeep Singh, Fagherazzi Sergio, Leonardi NicolettaAbstract:This article contains data on the effects of seagrass decline on wave energy along the shoreline of Barnegat Bay (USA) previously evaluated in Donatelli et al., 2019. This study was carried out applying the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Numerical Modelling framework to six historical maps of seagrass distribution. A new routine recently implemented in COAWST was used, which explicitly computes the wave thrust acting on salt marsh boundaries. The Numerical Modelling results are reported in terms of wind-wave heights for different seagrass coverages, wind speeds and directions. From a comparison with a Numerical experiment without submerged aquatic vegetation, we show how the computed wave thrust on marsh boundaries can be reduced by seagrass beds
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Dataset of Numerical Modelling results of wave thrust on salt marsh boundaries with different seagrass coverages in a shallow back-barrier estuary
'Elsevier BV', 2019Co-Authors: Donatelli Carmine, Ganju, Neil K, Fagherazzi Sergio, Kalra, Tarandeep S., Leonardi NicolettaAbstract:© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Donatelli, C., Ganju, N. K., Kalra, T. S., Fagherazzi, S., & Leonardi, N. (2019). Dataset of Numerical Modelling results of wave thrust on salt marsh boundaries with different seagrass coverages in a shallow back-barrier estuary. Data in Brief, 25, 104197, doi:10.1016/j.dib.2019.104197.This article contains data on the effects of seagrass decline on wave energy along the shoreline of Barnegat Bay (USA) previously evaluated in Donatelli et al., 2019. This study was carried out applying the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Numerical Modelling framework to six historical maps of seagrass distribution. A new routine recently implemented in COAWST was used, which explicitly computes the wave thrust acting on salt marsh boundaries. The Numerical Modelling results are reported in terms of wind-wave heights for different seagrass coverages, wind speeds and directions. From a comparison with a Numerical experiment without submerged aquatic vegetation, we show how the computed wave thrust on marsh boundaries can be reduced by seagrass beds.This study was supported by the Department of the Interior Hurricane Sandy Recovery program (ID G16AC00455, sub-award to University of Liverpool). S.F. was partly supported by NSF awards 1637630 (PIE LTER) and 1832221 (VCR LTER). We further acknowledge partial support from the Environmental Change Research group at University of Liverpool, and University of Liverpool library for publication fees
Shahrin Mohammad - One of the best experts on this subject based on the ideXlab platform.
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Numerical Modelling of stiffness and strength behaviour of top seat flange cleat connection for cold formed double channel section
Applied Mechanics and Materials, 2013Co-Authors: Yeong Huei Lee, Cher Siang Tan, Yee Ling Lee, Mahmood Md Tahir, Shahrin Mohammad, Poi Ngian ShekAbstract:Prediction of structural behaviour by Numerical Modelling can reduce the cost in conducting full-scaled experiments. This paper studies the stiffness and strength behaviour of top-seat flange-cleat connection for cold-formed steel double channel sections using finite element method. In this investigation, cold-formed channel sections are assembled back-to-back to form I-shape beam and column members. The 2 mm cold-formed bracket and 6 mm hot-rolled angle are used to connect the members. The results were collected from different beam depth ranged 150 mm, 200 mm and 250 mm. The rotational stiffness and strength obtained from the Numerical Modelling are then compared to the design requirements from BS EN 1993-1-8 and experimental data. The comparison of moment-rotation behaviour for top-seat flange-cleat connection has shown not more than 35% difference for strength behaviour and 50% difference for rotational stiffness behaviour between Numerical Modelling and experimental data. However, there is a noticeable difference between finite element models and analytical calculation. The differences are recorded from 18% to 65% for strength behaviour and between 1% and 153% for stiffness behaviour. The differences obtained between finite element analysis and experimental investigation are caused by edge stiffener while differences from finite element models and analytical models are due to strain hardening.
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Numerical Modelling and validation of light gauge steel top seat flange cleat connection
Journal of Vibroengineering, 2012Co-Authors: Yeong Huei Lee, Cher Siang Tan, Mahmood Md Tahir, Shahrin MohammadAbstract:This paper presents the Numerical investigation on the moment-rotation behaviour of cold-formed top-seat flange-cleat connection, a type of light gauge steel connection which structural connection has sparked a wide range of research interest. The cold-formed channel sections were assembled back-to-back to form I-shape beam and column members. Two components were used to connect the members, notably the 2 mm cold-formed bracket and the 6 mm hot-rolled angle. The results were collected from different beam depths, namely 150 mm, 200 mm and 250 mm. The rotational stiffness and strength obtained from the Numerical Modelling were then compared with design requirements from BS EN 1993-1-8 and experimental data. The comparison showed not more than 35 % difference in strength and about 50 % difference in rotational stiffness between Numerical Modelling and experimental data. However, there was a noticeable difference between finite element models and analytical calculation. The differences were from 18 % to 66 % for strength and between 1 % and 145 % for stiffness. Finite element models showed a better agreement with experimental data as compared to analytical study. Edge stiffener of Numerical model and theoretical stiffness calculation had caused significant difference in comparison.
Yeong Huei Lee - One of the best experts on this subject based on the ideXlab platform.
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Numerical Modelling of stiffness and strength behaviour of top seat flange cleat connection for cold formed double channel section
Applied Mechanics and Materials, 2013Co-Authors: Yeong Huei Lee, Cher Siang Tan, Yee Ling Lee, Mahmood Md Tahir, Shahrin Mohammad, Poi Ngian ShekAbstract:Prediction of structural behaviour by Numerical Modelling can reduce the cost in conducting full-scaled experiments. This paper studies the stiffness and strength behaviour of top-seat flange-cleat connection for cold-formed steel double channel sections using finite element method. In this investigation, cold-formed channel sections are assembled back-to-back to form I-shape beam and column members. The 2 mm cold-formed bracket and 6 mm hot-rolled angle are used to connect the members. The results were collected from different beam depth ranged 150 mm, 200 mm and 250 mm. The rotational stiffness and strength obtained from the Numerical Modelling are then compared to the design requirements from BS EN 1993-1-8 and experimental data. The comparison of moment-rotation behaviour for top-seat flange-cleat connection has shown not more than 35% difference for strength behaviour and 50% difference for rotational stiffness behaviour between Numerical Modelling and experimental data. However, there is a noticeable difference between finite element models and analytical calculation. The differences are recorded from 18% to 65% for strength behaviour and between 1% and 153% for stiffness behaviour. The differences obtained between finite element analysis and experimental investigation are caused by edge stiffener while differences from finite element models and analytical models are due to strain hardening.
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Numerical Modelling and validation of light gauge steel top seat flange cleat connection
Journal of Vibroengineering, 2012Co-Authors: Yeong Huei Lee, Cher Siang Tan, Mahmood Md Tahir, Shahrin MohammadAbstract:This paper presents the Numerical investigation on the moment-rotation behaviour of cold-formed top-seat flange-cleat connection, a type of light gauge steel connection which structural connection has sparked a wide range of research interest. The cold-formed channel sections were assembled back-to-back to form I-shape beam and column members. Two components were used to connect the members, notably the 2 mm cold-formed bracket and the 6 mm hot-rolled angle. The results were collected from different beam depths, namely 150 mm, 200 mm and 250 mm. The rotational stiffness and strength obtained from the Numerical Modelling were then compared with design requirements from BS EN 1993-1-8 and experimental data. The comparison showed not more than 35 % difference in strength and about 50 % difference in rotational stiffness between Numerical Modelling and experimental data. However, there was a noticeable difference between finite element models and analytical calculation. The differences were from 18 % to 66 % for strength and between 1 % and 145 % for stiffness. Finite element models showed a better agreement with experimental data as compared to analytical study. Edge stiffener of Numerical model and theoretical stiffness calculation had caused significant difference in comparison.
Donatelli Carmine - One of the best experts on this subject based on the ideXlab platform.
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Dataset of Numerical Modelling results of wave thrust on salt marsh boundaries with different seagrass coverages in a shallow back-barrier estuary.
'Elsevier BV', 2019Co-Authors: Donatelli Carmine, Ganju, Neil K, Kalra, Tarandeep Singh, Fagherazzi Sergio, Leonardi NicolettaAbstract:This article contains data on the effects of seagrass decline on wave energy along the shoreline of Barnegat Bay (USA) previously evaluated in Donatelli et al., 2019. This study was carried out applying the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Numerical Modelling framework to six historical maps of seagrass distribution. A new routine recently implemented in COAWST was used, which explicitly computes the wave thrust acting on salt marsh boundaries. The Numerical Modelling results are reported in terms of wind-wave heights for different seagrass coverages, wind speeds and directions. From a comparison with a Numerical experiment without submerged aquatic vegetation, we show how the computed wave thrust on marsh boundaries can be reduced by seagrass beds
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Dataset of Numerical Modelling results of wave thrust on salt marsh boundaries with different seagrass coverages in a shallow back-barrier estuary
'Elsevier BV', 2019Co-Authors: Donatelli Carmine, Ganju, Neil K, Fagherazzi Sergio, Kalra, Tarandeep S., Leonardi NicolettaAbstract:© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Donatelli, C., Ganju, N. K., Kalra, T. S., Fagherazzi, S., & Leonardi, N. (2019). Dataset of Numerical Modelling results of wave thrust on salt marsh boundaries with different seagrass coverages in a shallow back-barrier estuary. Data in Brief, 25, 104197, doi:10.1016/j.dib.2019.104197.This article contains data on the effects of seagrass decline on wave energy along the shoreline of Barnegat Bay (USA) previously evaluated in Donatelli et al., 2019. This study was carried out applying the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Numerical Modelling framework to six historical maps of seagrass distribution. A new routine recently implemented in COAWST was used, which explicitly computes the wave thrust acting on salt marsh boundaries. The Numerical Modelling results are reported in terms of wind-wave heights for different seagrass coverages, wind speeds and directions. From a comparison with a Numerical experiment without submerged aquatic vegetation, we show how the computed wave thrust on marsh boundaries can be reduced by seagrass beds.This study was supported by the Department of the Interior Hurricane Sandy Recovery program (ID G16AC00455, sub-award to University of Liverpool). S.F. was partly supported by NSF awards 1637630 (PIE LTER) and 1832221 (VCR LTER). We further acknowledge partial support from the Environmental Change Research group at University of Liverpool, and University of Liverpool library for publication fees
Poi Ngian Shek - One of the best experts on this subject based on the ideXlab platform.
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Numerical Modelling of stiffness and strength behaviour of top seat flange cleat connection for cold formed double channel section
Applied Mechanics and Materials, 2013Co-Authors: Yeong Huei Lee, Cher Siang Tan, Yee Ling Lee, Mahmood Md Tahir, Shahrin Mohammad, Poi Ngian ShekAbstract:Prediction of structural behaviour by Numerical Modelling can reduce the cost in conducting full-scaled experiments. This paper studies the stiffness and strength behaviour of top-seat flange-cleat connection for cold-formed steel double channel sections using finite element method. In this investigation, cold-formed channel sections are assembled back-to-back to form I-shape beam and column members. The 2 mm cold-formed bracket and 6 mm hot-rolled angle are used to connect the members. The results were collected from different beam depth ranged 150 mm, 200 mm and 250 mm. The rotational stiffness and strength obtained from the Numerical Modelling are then compared to the design requirements from BS EN 1993-1-8 and experimental data. The comparison of moment-rotation behaviour for top-seat flange-cleat connection has shown not more than 35% difference for strength behaviour and 50% difference for rotational stiffness behaviour between Numerical Modelling and experimental data. However, there is a noticeable difference between finite element models and analytical calculation. The differences are recorded from 18% to 65% for strength behaviour and between 1% and 153% for stiffness behaviour. The differences obtained between finite element analysis and experimental investigation are caused by edge stiffener while differences from finite element models and analytical models are due to strain hardening.
