Physical Models - Revision history

Grichards@gfnet.com at 16:15, 25 July 2023

2023-07-25T16:15:59Z

← Older revision		Revision as of 16:15, 25 July 2023
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	Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.		Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.

	Physical models help to visualize and identify any potential future [[construction]] or operational concerns in real time, are simpler than numerical models (not prone to incorrect application of turbulence modeling techniques), and foster collaboration between [[engineering]] disciplines. Once a physical model is constructed, a range of flow conditions can be simulated in a short period of time compared to the solve time of a single flow condition using a numerical model.		Physical models help to visualize and identify any potential future [[construction]] or operational concerns in real time, are simpler than numerical models (not prone to incorrect application of turbulence modeling techniques, like [[Computational Fluid Dynamics (CFD)\|computational fluid dynamics]]), and foster collaboration between [[engineering]] disciplines. Once a physical model is constructed, a range of flow conditions can be simulated in a short period of time compared to the solve time of a single flow condition using a numerical model.

	The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and ~~travelling~~ to observe the [[operation]] of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.		The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and traveling to observe the [[operation]] of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.

	==Trainings==		==Trainings==

Grichards@gfnet.com: Reverted edits by Sethompson@gfnet.com (talk) to last revision by Mpollei@gfnet.com

2023-07-25T16:06:30Z

Reverted edits by Sethompson@gfnet.com (talk) to last revision by Mpollei@gfnet.com

← Older revision		Revision as of 16:06, 25 July 2023
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	<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->		<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->
	~~TEST~~
	Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.		Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.

	Physical models help to visualize and identify any potential future [[construction]] or operational concerns in real time, are simpler than numerical models (not prone to incorrect application of turbulence modeling techniques~~, like computational fluid dynamics [CFD] modeling~~), and foster collaboration between [[engineering]] disciplines. Once a physical model is constructed, a range of flow conditions can be simulated in a short period of time compared to the solve time of a single flow condition using a numerical model.		Physical models help to visualize and identify any potential future [[construction]] or operational concerns in real time, are simpler than numerical models (not prone to incorrect application of turbulence modeling techniques), and foster collaboration between [[engineering]] disciplines. Once a physical model is constructed, a range of flow conditions can be simulated in a short period of time compared to the solve time of a single flow condition using a numerical model.

	The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and ~~traveling~~ to observe the [[operation]] of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.		The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and travelling to observe the [[operation]] of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.

	==Trainings==		==Trainings==

Sethompson@gfnet.com at 16:05, 25 July 2023

2023-07-25T16:05:28Z

← Older revision		Revision as of 16:05, 25 July 2023
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	<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->		<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->
			TEST
	Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.		Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.

Sethompson@gfnet.com at 15:32, 25 July 2023

2023-07-25T15:32:23Z

← Older revision		Revision as of 15:32, 25 July 2023
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	Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.		Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.

	Physical models help to visualize and identify any potential future [[construction]] or operational concerns in real time, are simpler than numerical models (not prone to incorrect application of turbulence modeling techniques), and foster collaboration between [[engineering]] disciplines. Once a physical model is constructed, a range of flow conditions can be simulated in a short period of time compared to the solve time of a single flow condition using a numerical model.		Physical models help to visualize and identify any potential future [[construction]] or operational concerns in real time, are simpler than numerical models (not prone to incorrect application of turbulence modeling techniques, like computational fluid dynamics [CFD] modeling), and foster collaboration between [[engineering]] disciplines. Once a physical model is constructed, a range of flow conditions can be simulated in a short period of time compared to the solve time of a single flow condition using a numerical model.

	The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and ~~travelling~~ to observe the [[operation]] of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.		The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and traveling to observe the [[operation]] of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.

	==Trainings==		==Trainings==

Mpollei@gfnet.com at 20:59, 21 July 2023

2023-07-21T20:59:57Z

← Older revision		Revision as of 20:59, 21 July 2023
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	\|image= Gross.jpg		\|image= Gross.jpg
	<!-- Add picture caption -->		<!-- Add picture caption -->
	\|caption= Physical model of the stepped spillway for the Gross Reservoir Expansion project (CO DWR).		\|caption= Physical model of the stepped spillway for the Gross Reservoir Expansion project.
			(Image Source: CO DWR)
	}}		}}

Grichards at 20:25, 15 March 2023

2023-03-15T20:25:42Z

← Older revision		Revision as of 20:25, 15 March 2023
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	[[Category:3D Hydraulic Models]]		[[Category:3D Hydraulic Models]]
	----		----
			{{Picture
			<!-- Add image file name (ex.image.jpg) -->
			\|image= Gross.jpg
			<!-- Add picture caption -->
			\|caption= Physical model of the stepped spillway for the Gross Reservoir Expansion project (CO DWR).
			}}

	<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->		<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->
	Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.		Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.

Grichards at 05:13, 18 November 2022

2022-11-18T05:13:21Z

← Older revision		Revision as of 05:13, 18 November 2022
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	__NOTOC__		__NOTOC__
			[[Category:3D Hydraulic Models]]
	----		----
	<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->		<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->
	Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.		Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.

	Physical models help to visualize and identify any potential future construction or operational concerns in real time, are simpler than numerical models (not prone to incorrect application of turbulence modeling techniques), and foster collaboration between engineering disciplines. Once a physical model is constructed, a range of flow conditions can be simulated in a short period of time compared to the solve time of a single flow condition using a numerical model.		Physical models help to visualize and identify any potential future [[construction]] or operational concerns in real time, are simpler than numerical models (not prone to incorrect application of turbulence modeling techniques), and foster collaboration between [[engineering]] disciplines. Once a physical model is constructed, a range of flow conditions can be simulated in a short period of time compared to the solve time of a single flow condition using a numerical model.

	The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and travelling to observe the operation of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.		The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and travelling to observe the [[operation]] of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.

	==Trainings==		==Trainings==

Grichards at 05:21, 17 September 2022

2022-09-17T05:21:41Z

← Older revision		Revision as of 05:21, 17 September 2022
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	The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and travelling to observe the operation of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.		The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and travelling to observe the operation of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.

	~~==Examples==~~
	~~{{Website Icon}}~~
	~~==Best Practices Resources==~~
	~~{{Document Icon}}~~
	==Trainings==		==Trainings==
	{{Video Icon}}		{{Video Icon}} [[On-Demand Webinar: Introduction to Physical Modeling of Spillways for Dams]]

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2022-09-12T20:28:08Z

Created page with "__NOTOC__ ----  Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects. Physical models help to visualize and identify any potential future constructio..."

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__NOTOC__
----

Physical models have successfully been used for decades and are tried and proven in their effectiveness. Physical models help in predicting the performance of the eventual prototype using appropriate scaling factors to observed flow quantities to compensate for scaling effects.

Physical models help to visualize and identify any potential future construction or operational concerns in real time, are simpler than numerical models (not prone to incorrect application of turbulence modeling techniques), and foster collaboration between engineering disciplines. Once a physical model is constructed, a range of flow conditions can be simulated in a short period of time compared to the solve time of a single flow condition using a numerical model.

The challenges associated with physical models include the required time and resources associated with building and housing the model. The facilities or organizations that possess the capability of performing such work can be limited and travelling to observe the operation of the model is typically necessary. Once data is collected, changing the design of the model can require additional time and resources. Additionally, physical models are typically dismantled to make room for new models, reducing the available window to collect additional data when compared to a numerical model.

==Examples==
{{Website Icon}}
==Best Practices Resources==
{{Document Icon}}
==Trainings==
{{Video Icon}}


{{Citations}}


{{revhistinf}}