Bayesian Large Model Calibration Using Simulation and Measured Data for Improved Predictions

2015 ◽  
Vol 8 (2) ◽  
pp. 415-420
Author(s):  
Joshua Bergerson ◽  
Ralph Muehleisen
Keyword(s):  
Model Calibration ◽  
Measured Data ◽  
Large Model

scholarly journals Multi-step building energy model calibration process based on measured data

2021 ◽  
Vol 252 ◽  
pp. 111380
Author(s):  
José Eduardo Pachano ◽  
Carlos Fernández Bandera
Keyword(s):  
Model Calibration ◽  
Building Energy ◽  
Measured Data ◽  
Energy Model ◽  
Calibration Process

Reliability of sewer flow quality models - results of a North Rhine-Westphalian comparison

1999 ◽  
Vol 39 (9) ◽  
pp. 73-80
Author(s):  
H.-J. Russ
Keyword(s):  
Model Calibration ◽  
Measured Data ◽  
Model Application ◽  
Quality Models ◽  
Flow Quality ◽  
Calibration And Verification ◽  
The Absolute ◽  
Flow Quantity

In North Rhine-Westphalia, Germany a project for the evaluation of sewer flow quantity and quality models was carried out with the aid of measured data in 1986 to 1991. Measurement projects in two real subcatchments in the cities of Solingen and Düsseldorf delivered the data for model calibration and verification. 10 models with different approaches for quantity and quality simulation took part in a relative and an absolute comparison. This report focuses on some selected results of the absolute comparison and discusses the reliability and accuracy of model application.

scholarly journals Comparisons of Two Approaches for Geotechnical Model Calibration with Scarce Data

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yuanxin Lei ◽  
Huifen Liu ◽  
Zhixiong Lu
Keyword(s):  
Model Calibration ◽  
Mean Squared Error ◽  
Mean Value ◽  
Measured Data ◽  
Empirical Parameter ◽  
Soil Nail ◽  
Parameter Values ◽  
Correction Terms ◽  
Geotechnical Model ◽  
Scarce Data

Geotechnical models are usually built upon assumptions and simplifications, inevitably resulting in discrepancies between model predictions and measurements. To enhance prediction accuracy, geotechnical models are typically calibrated against measurements by bringing in additional empirical or semiempirical correction terms. Different approaches have been used in the literature to determine the optimal values of empirical parameters in the correction terms. When measured data are abundant, calibration outcomes using different approaches can be expected to be practically the same. However, if measurements are scarce or limited, calibration outcomes could differ significantly, depending largely on the adopted calibration approach. In this study, we examine two most commonly used approaches for geotechnical model calibration in the literature, namely, (1) purely data-catering (PDC) approach, and (2) root mean squared error (RMSE) method. Here, the purely data-catering approach refers to selection of empirical parameter values that minimize coefficient of variation of model factor while maintains its mean value of one, based solely on measured data. A real case of calibrating the Federal Highway Administration (FHWA) simplified facing load model for design of soil nail walls is illustrated to thoroughly elaborate the differences in practical calibration and design outcomes using the two approaches under scarce data conditions.

scholarly journals Building energy model calibration: A detailed case study using sub-hourly measured data

2020 ◽  
Vol 223 ◽  
pp. 110189
Author(s):  
Dimitri Guyot ◽  
Florine Giraud ◽  
Florian Simon ◽  
David Corgier ◽  
Christophe Marvillet ◽  
...  
Keyword(s):  
Model Calibration ◽  
Building Energy ◽  
Measured Data ◽  
Energy Model ◽  
Detailed Case

Analysis of Measured Data in Unbalanced Distribution System and Method of making of Distribution System Model for Analyzing

2016 ◽  
Vol 136 (6) ◽  
pp. 759-766 ◽  
Author(s):  
Yu Fujita ◽  
Hiroshi Kobayashi ◽  
Takanori Kodera ◽  
Mutsumi Aoki ◽  
Hiroto Suzuki ◽  
...  
Keyword(s):  
Distribution System ◽  
Measured Data ◽  
System Model

Application of the Strip Yield Model to Crack Growth Predictions for Structural Steel

2010 ◽  
Vol 57 (1) ◽  
pp. 1-20
Author(s):  
Małgorzata Skorupa ◽  
Tomasz Machniewicz
Keyword(s):  
Structural Steel ◽  
Crack Growth ◽  
Model Calibration ◽  
Load History ◽  
Yield Model ◽  
Variable Amplitude Loading ◽  
Variable Amplitude ◽  
Constraint Factors ◽  
Strip Yield Model ◽  
Closure Mechanism

Application of the Strip Yield Model to Crack Growth Predictions for Structural SteelA strip yield model implementation by the present authors is applied to predict fatigue crack growth observed in structural steel specimens under various constant and variable amplitude loading conditions. Attention is paid to the model calibration using the constraint factors in view of the dependence of both the crack closure mechanism and the material stress-strain response on the load history. Prediction capabilities of the model are considered in the context of the incompatibility between the crack growth resistance for constant and variable amplitude loading.

Roughness Implementation in FENSAP-ICE: Model Calibration and Influence on Ice Shapes

2003 ◽  
Vol 40 (6) ◽  
pp. 1212-1215 ◽  
Author(s):  
Heloise Beaugendre ◽  
Francois Morency ◽  
Wagdi G. Habashi ◽  
Pascal Benquet
Keyword(s):  
Model Calibration ◽  
Ice Shapes ◽  
Ice Model
Sign in / Sign up

Export Citation Format

Share Document