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Implementa on and evalua on of a slope stability Kenichi .... 2 Implementa on and evalua on of a...

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ImplementaƟon and evaluaƟon of a slope stability equaƟon performed with the DeltaLINK simulator Kenichi Soga 1 , MarƟn S. Goodchild 2 , Dick Jenkins 2 & Karl Kühn 2 Abstract This poster presents the innovaƟve Script Editor and Simulator features of DeltaLINK 3.0 soŌware. This powerful new Script Editor funcƟon gives the user an accessible way to create and evaluate sophisƟcated mathemaƟcal funcƟons and models that can be applied in real‐Ɵme to the measurement data collected by the GP2 providing useful outputs from the combinaƟon of dierent types of measurements and/or mulƟple sensors. PotenƟal applicaƟons are numerous, including areas such as the calculaƟon of evapotranspiraƟon, irrigaƟon control and disease predicƟon. In the simulator work shown below we demonstrate added funcƟonality that can be installed into the GP2 Logger and Controller – using soil moisture and tension sensors data to esƟmate slope stability safety factor (FS) in response to rainfall events. The implementation of the Safety Factor model in DeltaLINK DeltaLINK 3.0 Script Editor and Simulator features were used for this evaluation of the Safety Factor model. The mathematical model, shown above, was implemented using the Script Editor; a sample of the script is shown below. Safety Factor (FS) model For more informaƟon regarding this and other GP2 Script Editor applicaƟons please contact: sales@deltat.co.uk , regarding the Geotechnical & Environmental Research Group please contact: wwwgeo.eng.cam.ac.uk DeltaLINK 3.0 including the Simulator is available free of charge at www.deltat.co.uk Applying the GP2 to calculate slope stability Safety Factor DeltaLINK Simulator output The data created during the simulation is recorded by the DeltaLINK software and a 10 day period of simulated rainfall, soil moisture and soil tension data with output from the Safety Factor model is shown in Figure 2 below. In Figure 2 the soil moisture and soil tension simulated data responds appropriately to rainfall events and the Safety Factor model is processing this data to provide values that are inline with expectations. Further verification and data process can be performed by downloading the simulated data to an Excel spread sheet. 0 1 2 3 4 0 2 4 6 8 10 Safety Factor (FS) Cumulative Hourly Rainfall (mm) Safety Factor against Cumulative Hourly Rainfall (from 14:00, 26/07/2013) Conclusions The simulator feature enables the user to quickly apply and review mathematical functions, models and experimental methods. This capability may also help users to plan and develop experimental programmes prior to time consuming experimental work. In this poster simulated rainfall, soil moisture and tension data has been used to evaluate the use of a slope stability model. Fig. 1 Block diagram showing the implementation of Safety Factor model implemented. GP2 Advanced Data Logger and Controller SM300 Soil Moisture and Temperature Sensor SWT4 Tensiometer RG1 Rain Gauge Where: ߚ: slope angle ݖ: soil depth ߛ: soil unit weight : effective cohesion : effective friction angle ݏ: water tension ݓ: water content Fig. 2 DeltaLINK Simulator output for a 10 day period showing rain gauge, soil moisture, and soil tension data and the output from the Safety Factor model Site specific variables have been included in the GP2 program as user adjustable parameters that can be easily set for each location using the GP2’s DeltaLINK control panel and the Program Settings window, as shown here on the left. An example of Excel based data processing is shown here on the left where Safety Factor has been plotted against cumulative rainfall for the significant rainfall event of 26 th July 2013 as shown in Figure 2. Postprocessing of simulated data can help review experimental arrangements. 1 Cambridge University, Department of Engineering, Trumpington Street, Cambridge CB2 1PZ, UK 2 DeltaT Devices Ltd., 130 Low Road, Burwell, Cambridge, CB25 OEJ, UK
Transcript

  

 

Implementa on and evalua on of a slope stability equa on performed with the DeltaLINK simulator

Kenichi Soga1, Mar n S. Goodchild2, Dick Jenkins2 & Karl Kühn2

 

Abstract This poster presents the innova ve Script Editor and Simulator features of DeltaLINK 3.0 so ware. This powerful new Script Editor func on gives the user an accessible way to create and evaluate sophis cated mathema cal func ons and models that can be applied in real‐ me to the measurement data collected by the GP2 ‐ providing useful outputs from the combina on of different types of measurements and/or mul ple sensors.  Poten al applica ons are numerous, including areas such as the calcula on of evapotranspira on, irriga on control and disease predic on. In the simulator work shown below we demonstrate added func onality that can be installed into the GP2 Logger and Controller – using soil moisture and tension sensors data to es mate slope stability safety factor (FS) in response to rainfall events. 

The implementation of the Safety Factor model in DeltaLINK 

DeltaLINK 3.0 Script Editor and Simulator features were used for this evaluation of the Safety Factor model. The mathematical model, shown above, was implemented using the Script Editor; a sample of the script is shown below. 

 

 

Safety Factor (FS) model

 

For more informa on regarding this and other GP2 Script Editor applica ons please contact: sales@delta‐t.co.uk , regarding the Geotechnical & Environmental Research Group please contact: www‐geo.eng.cam.ac.uk

DeltaLINK 3.0 including the Simulator is available free of charge at www.delta‐t.co.uk

Applying the GP2 to calculate slope stability Safety Factor

DeltaLINK Simulator output

The data created during the simulation is recorded by the DeltaLINK software and a 10 day period of simulated rainfall, soil moisture and soil tension data with output from the Safety Factor model is shown in Figure 2 below. 

 

  

In Figure 2 the soil moisture and soil tension simulated data responds appropriately to rainfall events and the Safety Factor model is processing this data to provide values that are in‐line with expectations. Further verification and data process can be performed by downloading the simulated data to an Excel spread sheet.  

 

0

1

2

3

4

0 2 4 6 8 10

Safe

ty F

acto

r (FS

)

Cumulative Hourly Rainfall (mm)

Safety Factor against Cumulative Hourly Rainfall(from 14:00, 26/07/2013)

Conclusions

The simulator feature enables the user to quickly apply and review mathematical functions, models and experimental methods.  This capability may also help users to plan and develop experimental programmes prior to time consuming experimental work. In this poster simulated rainfall, soil moisture and tension data has been used to evaluate the use of a slope stability model. 

Fig. 1 – Block diagram showing the implementation of Safety Factor model implemented.

• GP2 ‐ Advanced Data Logger and Controller

• SM300 Soil Moisture and Temperature Sensor

• SWT4 Tensiometer

• RG1 Rain Gauge

Where:  :  slope angle  :  soil depth  :  soil unit weight  ′:  effective cohesion  ′:  effective friction angle  :  water tension  :  water content 

Fig. 2 – DeltaLINK Simulator output for a 10 day period showing rain gauge, soil moisture, and soil tension data and the output from the Safety Factor model

Site specific variables have been included in the GP2 program as user adjustable parameters that can be easily set for each location using the GP2’s DeltaLINK control panel and the Program Settings window, as shown here on the left. 

An example of Excel based data processing is shown here on the left where Safety Factor has been plotted against cumulative rainfall for the significant rainfall event of 26th July 2013 as shown in Figure 2. Post‐processing of simulated data can help review experimental arrangements. 

1 Cambridge University, Department of Engineering, Trumpington Street, Cambridge CB2 1PZ, UK2 Delta‐T Devices Ltd., 130 Low Road, Burwell, Cambridge, CB25 OEJ, UK

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