CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger

The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.; Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Zhen Su [verfasserIn] Xiyuan Zhang [verfasserIn] Rongyu Luan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	cfd dynamic time-domain matrix (dmc) controller trailing suction hopper dredger (tshd)

Übergeordnetes Werk:	In: Journal of Hydroinformatics - IWA Publishing, 2021, 24(2022), 4, Seite 730-748
Übergeordnetes Werk:	volume:24 ; year:2022 ; number:4 ; pages:730-748

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.2166/hydro.2022.129

Katalog-ID:	DOAJ039973581

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520			\|a The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.;
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allfields	10.2166/hydro.2022.129 doi (DE-627)DOAJ039973581 (DE-599)DOAJ24a5d57aa5ed4835a85c0c408ecb30df DE-627 ger DE-627 rakwb eng T58.5-58.64 TD1-1066 Zhen Su verfasserin aut CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.; cfd dynamic time-domain matrix (dmc) controller trailing suction hopper dredger (tshd) Information technology Environmental technology. Sanitary engineering Xiyuan Zhang verfasserin aut Rongyu Luan verfasserin aut In Journal of Hydroinformatics IWA Publishing, 2021 24(2022), 4, Seite 730-748 (DE-627)317731327 (DE-600)2020923-X 14651734 nnns volume:24 year:2022 number:4 pages:730-748 https://doi.org/10.2166/hydro.2022.129 kostenfrei https://doaj.org/article/24a5d57aa5ed4835a85c0c408ecb30df kostenfrei http://jh.iwaponline.com/content/24/4/730 kostenfrei https://doaj.org/toc/1464-7141 Journal toc kostenfrei https://doaj.org/toc/1465-1734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 24 2022 4 730-748
spelling	10.2166/hydro.2022.129 doi (DE-627)DOAJ039973581 (DE-599)DOAJ24a5d57aa5ed4835a85c0c408ecb30df DE-627 ger DE-627 rakwb eng T58.5-58.64 TD1-1066 Zhen Su verfasserin aut CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.; cfd dynamic time-domain matrix (dmc) controller trailing suction hopper dredger (tshd) Information technology Environmental technology. Sanitary engineering Xiyuan Zhang verfasserin aut Rongyu Luan verfasserin aut In Journal of Hydroinformatics IWA Publishing, 2021 24(2022), 4, Seite 730-748 (DE-627)317731327 (DE-600)2020923-X 14651734 nnns volume:24 year:2022 number:4 pages:730-748 https://doi.org/10.2166/hydro.2022.129 kostenfrei https://doaj.org/article/24a5d57aa5ed4835a85c0c408ecb30df kostenfrei http://jh.iwaponline.com/content/24/4/730 kostenfrei https://doaj.org/toc/1464-7141 Journal toc kostenfrei https://doaj.org/toc/1465-1734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 24 2022 4 730-748
allfields_unstemmed	10.2166/hydro.2022.129 doi (DE-627)DOAJ039973581 (DE-599)DOAJ24a5d57aa5ed4835a85c0c408ecb30df DE-627 ger DE-627 rakwb eng T58.5-58.64 TD1-1066 Zhen Su verfasserin aut CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.; cfd dynamic time-domain matrix (dmc) controller trailing suction hopper dredger (tshd) Information technology Environmental technology. Sanitary engineering Xiyuan Zhang verfasserin aut Rongyu Luan verfasserin aut In Journal of Hydroinformatics IWA Publishing, 2021 24(2022), 4, Seite 730-748 (DE-627)317731327 (DE-600)2020923-X 14651734 nnns volume:24 year:2022 number:4 pages:730-748 https://doi.org/10.2166/hydro.2022.129 kostenfrei https://doaj.org/article/24a5d57aa5ed4835a85c0c408ecb30df kostenfrei http://jh.iwaponline.com/content/24/4/730 kostenfrei https://doaj.org/toc/1464-7141 Journal toc kostenfrei https://doaj.org/toc/1465-1734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 24 2022 4 730-748
allfieldsGer	10.2166/hydro.2022.129 doi (DE-627)DOAJ039973581 (DE-599)DOAJ24a5d57aa5ed4835a85c0c408ecb30df DE-627 ger DE-627 rakwb eng T58.5-58.64 TD1-1066 Zhen Su verfasserin aut CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.; cfd dynamic time-domain matrix (dmc) controller trailing suction hopper dredger (tshd) Information technology Environmental technology. Sanitary engineering Xiyuan Zhang verfasserin aut Rongyu Luan verfasserin aut In Journal of Hydroinformatics IWA Publishing, 2021 24(2022), 4, Seite 730-748 (DE-627)317731327 (DE-600)2020923-X 14651734 nnns volume:24 year:2022 number:4 pages:730-748 https://doi.org/10.2166/hydro.2022.129 kostenfrei https://doaj.org/article/24a5d57aa5ed4835a85c0c408ecb30df kostenfrei http://jh.iwaponline.com/content/24/4/730 kostenfrei https://doaj.org/toc/1464-7141 Journal toc kostenfrei https://doaj.org/toc/1465-1734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 24 2022 4 730-748
allfieldsSound	10.2166/hydro.2022.129 doi (DE-627)DOAJ039973581 (DE-599)DOAJ24a5d57aa5ed4835a85c0c408ecb30df DE-627 ger DE-627 rakwb eng T58.5-58.64 TD1-1066 Zhen Su verfasserin aut CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.; cfd dynamic time-domain matrix (dmc) controller trailing suction hopper dredger (tshd) Information technology Environmental technology. Sanitary engineering Xiyuan Zhang verfasserin aut Rongyu Luan verfasserin aut In Journal of Hydroinformatics IWA Publishing, 2021 24(2022), 4, Seite 730-748 (DE-627)317731327 (DE-600)2020923-X 14651734 nnns volume:24 year:2022 number:4 pages:730-748 https://doi.org/10.2166/hydro.2022.129 kostenfrei https://doaj.org/article/24a5d57aa5ed4835a85c0c408ecb30df kostenfrei http://jh.iwaponline.com/content/24/4/730 kostenfrei https://doaj.org/toc/1464-7141 Journal toc kostenfrei https://doaj.org/toc/1465-1734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 24 2022 4 730-748
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title	CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger
ctrlnum	(DE-627)DOAJ039973581 (DE-599)DOAJ24a5d57aa5ed4835a85c0c408ecb30df
title_full	CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger
author_sort	Zhen Su
journal	Journal of Hydroinformatics
journalStr	Journal of Hydroinformatics
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lang_code	eng
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author_browse	Zhen Su Xiyuan Zhang Rongyu Luan
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author-letter	Zhen Su
doi_str_mv	10.2166/hydro.2022.129
author2-role	verfasserin
title_sort	cfd simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger
callnumber	T58.5-58.64
title_auth	CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger
abstract	The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.;
abstractGer	The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.;
abstract_unstemmed	The phenomenon of blocking pipe would appear for a trailing suction hopper dredger (TSHD) rake arm pipe in the construction process. Thus, based on the theory of particle flow mechanics, a transient three-dimensional two-phase hydrodynamic and sediment mixture model was established in this paper. Besides, different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking pipe and the prevention of dredging to provide theoretical support. Then, a model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed and compared with the proportional-integral (PI) controller. According to the results, the particle size of sediment affects concentration distribution in the pipeline under the same construction conditions for the TSHD. Besides, the larger the particle size of the sediment, the more significant the difference in the sediment concentration distribution in the pipeline. Similarly, the flow velocity is another influencing factor behind the change in concentration distribution in the pipeline, the increase in the flow velocity will improve the uniformity of concentration distribution in the pipeline, and the critical velocity will maintain the concentration distribution within a reasonable range. In terms of transportation control, the designed predictive model controller is capable of reducing overshoot and shorten the time required for adjustment. To sum up, the research result not only provides a valuable reference for the theoretical analysis and a controller design of the pipeline transportation system in the TSHD but also verifies the feasibility of the computational fluid dynamics model used in the study of pipeline transportation mechanisms. HIGHLIGHTS A transient three-dimensional two-phase hydrodynamic and sediment mixture model was established.; Different particle sizes of sediment concentration and velocity in the piping in the rake arm of the law were analyzed to solve the problem of blocking the pipe and prevention of dredging.; A model predictive controller was designed to regulate the mudflow in the pipeline by controlling the mud pump speed.;
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700
container_issue	4
title_short	CFD simulation and model predictive control of the pipeline transportation system in a trailing suction hopper dredger
url	https://doi.org/10.2166/hydro.2022.129 https://doaj.org/article/24a5d57aa5ed4835a85c0c408ecb30df http://jh.iwaponline.com/content/24/4/730 https://doaj.org/toc/1464-7141 https://doaj.org/toc/1465-1734
remote_bool	true
author2	Xiyuan Zhang Rongyu Luan
author2Str	Xiyuan Zhang Rongyu Luan
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doi_str	10.2166/hydro.2022.129
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up_date	2024-07-04T01:27:52.575Z
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