Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problems

Product details:

ISBN13:	9781032740560
ISBN10:	1032740566
Binding:	Hardback
No. of pages:	302 pages
Size:	234x156 mm
Language:	English
Illustrations:	7 Illustrations, black & white; 33 Illustrations, color; 61 Tables, black & white
700

Category:

Mathematics in general

Applied mathematics

Mechanical Engineering Sciences

Energy industry

Environmental sciences

Mechanics

Mathematics in general (charity campaign)

Applied mathematics (charity campaign)

Mechanical Engineering Sciences (charity campaign)

Energy industry (charity campaign)

Environmental sciences (charity campaign)

Mechanics (charity campaign)

Advances in High-Order Predictive Modeling

Methodologies and Illustrative Problems

Cacuci, Dan Gabriel;

Series: Advances in Applied Mathematics;

Edition number: 1

Publisher: Chapman and Hall

Date of Publication: 11 December 2024

Normal price:

Publisher's listprice:
GBP 110.00

Estimated price in HUF:
56 248 HUF (53 570 HUF + 5% VAT)
Why estimated?

Your price:

44 999 (42 856 HUF + 5% VAT )

discount is: 20% (approx 11 250 HUF off)

Discount is valid until: 31 December 2024

The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.

Availability:

Not yet published.

Add to wishlist

What is wishlist?

Short description:

Continuing the author?s previous work on modeling, this book presents the most recent advances in high-order predictive modeling.

Long description:

2 in the world in the field of Uncertainty Analysis,

Table of Contents:

CHAPTER 1: 2^nd-BERRU-PM: Second-Order Maximum Entropy Predictive Modeling Methodology for Reducing Uncertainties in Predicted Model Responses and Parameters

1.1. Introduction

1.2. Generic Mathematical Modeling of a Physical System

1.3. Construction of the Minimally Discrepant Maximum Entropy Distribution

1.4. Construction of the Second-Order Minimally Discrepant Maximum Entropy Distribution of Experimentally Measured Responses and Parameters

1.5. 2^nd-BERRU-PMD: Second Order MaxEnt Predictive Modeling Methodology with Deterministically Included Computed Responses

1.6. 2^nd-BERRU-PMP: Second-Order MaxEnt Predictive Modeling Methodology with Probabilistically Included Computed Responses

1.6.1. Second-Order MaxEnt Probabilistic Representation of the Computational Model

1.6.2. General Case 2^nd-BERRU-PMP: Inclusion of Additional External Measurements for Both Responses and Parameters

1.6.3. Practical Case 2^nd-BERRU-PMP: Inclusion of Response Measurements

1.7. Inter-Comparison: 2^nd-BERRU-PMP vs. 2^nd-BERRU-PMD

1.7.1. Inter-Comparison: Best-Estimate Predicted Mean Values for Responses

1.7.2. Inter-Comparison: Best-Estimate Predicted Mean Values for Parameters

1.7.3. Inter-Comparison: Best-Estimate Predicted Response Covariances

1.7.4. Inter-Comparison: Best-Estimate Predicted Parameter Covariances

1.7.5. Inter-Comparison: Best-Estimate Predicted Correlations Between Parameters and Responses

1.8. Review of Principles Underlying the Data Adjustment and Data Assimilation Procedures

1.8.1. Principles Underlying the Data Adjustment Procedure

1.8.2. Principles Underlying the Data Assimilation Procedure

1.9. Discussion and Conclusions

CHAPTER 2: Application of the 2^nd-BERRU-PM Methodology to the PERP Reactor Physics Benchmark

2.1. Introduction

2.2. Mathematical Modeling of the OECD/NEA Polyethylene-Reflected Plutonium Metal Sphere (PERP) Reactor Physics Benchmark

2.3: Mean and Variance of the PERP Benchmark?s Computed Leakage Response

2.3.1. ?High precision? parameters; uniform relative standard deviations

2.3.2. ?Typical precision? parameters; uniform relative standard deviations

2.3.3. ?Low precision? parameters; uniform relative standard deviations

2.4: Illustrative Application of the 2^nd-BERRU-PM Methodology to the PERP Benchmark: Mathematical Expressions for the Best Estimate Predicted Mean and Variance for the PERP Leakage Response

2.4.1. Best-Estimate Predicted Mean Value, , for the PERP Leakage Response

2.4.2. Best-Estimate Predicted Standard Deviation for PERP Leakage Response

2.5: Typical-Precision Consistent Measured Response (neutrons/sec; )

2.5.1. High-precision (3% relative standard deviations) parameters

2.5.2: Typical precision (5% relative standard deviations) parameters

2.5.3. Low precision (10% relative standard deviations) parameters

2.6: Low-Precision Consistent Measured Response (neutrons/sec; ); High Precision Parameters (relative SD=3%)

2.7: Typical-Precision Inconsistent Measured Response ( neutrons/sec;

)

2.7.1. High-precision (2% relative standard deviations) parameters

2.7.2. Typical-precision (5% relative standard deviations) parameters

2.7.3. Low-precision (10% relative standard deviations) parameters

2.8: High-Precision Apparently Inconsistent Measured Response ( neutrons/sec; ) and High Precision Parameters (SD=3%)

2.8.1. Including Only Contributions from the 1^st-Order Sensitivities of the Leakage Response to the Total Cross Sections

2.8.2. Including Contributions from the 1^st+ 2^nd-Order Sensitivities of the Leakage Response to the Total Cross Sections

2.8.3. Including Contributions from the 1^st+ 2^nd+ 3^rd-Order Sensitivities of the Leakage Response to the Total Cross Sections

2.8.4. Including Contributions from the 1^st+ 2^nd+ 3^rd+ 4^th -Order Sensitivities of the Leakage Response to the Total Cross Sections

2.9: High-Precision Possibly Inconsistent Measured Response ( neutrons/sec; ) and Low Precision Parameters (SD=10%)

2.9.1. Including Only Contributions from the 1^st-Order Sensitivities of the Leakage Response to the Total Cross Sections

2.9.2. Including Contributions from the 1^st+ 2^nd-Order Sensitivities of the Leakage Response to the Total Cross Sections

2.10: Low-Precision Apparently Inconsistent Measured Response ( neutrons/sec; ); Typical Precision Parameters (SD=5%)

2.10.1. Including Only Contributions from the 1^st-Order Sensitivities of the Leakage Response to All Important Parameters

2.10.2. Including Contributions from the 1^st+ 2^nd-Order Sensitivities of the Leakage Response to All Important Parameters

2.10.3. Including Contributions from the 1^st+ 2^nd+ 3^rd-Order Sensitivities of the Leakage Response to the Total Cross Sections

2.10.4. Including Contributions from the 1^st+ 2^nd+ 3^rd+ 4^th -Order Sensitivities of the Leakage Response to the Total Cross Sections

2.11: Measured Response Value Coincides with Nominally Computed Response Value

2.12. Concluding Remarks

CHAPTER 3: A Novel Generic Fourth-Order Moment-Constrained Maximum Entropy Distribution

3.1. Introduction

3.2. Construction of the Fourth-Order Moment-Constrained Maximum Entropy (MaxEnt) Representation of Uncertain Multivariate Quantities

3.3. Concluding Remarks

Appendix 3.A. Auxiliary Computations for Constructing the Moment-Constrained Fourth-Order MaxEnt Distribution

Appendix 3.B. Approximations Inherent to the Fourth-Order Maximum Entropy Distribution

CHAPTER 4: 4th-BERRU-PM: Fourth-Order Maxent Predictive Modeling Methodology for Combining Measurements with Computations to Obtain Best-Estimate Results with Reduced Predicted Uncertainties

4.1. Introduction

4.2. Construction of the Moments-Constrained Fourth-Order MaxEnt Distribution of the Computational Model Parameters and Responses

4.3. Mathematical Framework of the 4^th-BERRU-PM Methodology for Obtaining Best Estimate Results with reduced Uncertainties

4.3.1. Best-Estimate Fourth-Order Expression of the Vector of Mean Values of the Predicted Responses

4.3.2. Best-Estimate Fourth-Order Expression of the Vector of Mean Values of the Predicted Calibrated Model Parameters

4.3.3. Best-Estimate Fourth-Order Expression of the Covariance Matrix of the Predicted Responses

4.3.4. Best-Estimate Fourth-Order Expression of the Covariance Matrix of the Calibrated Model Parameters

4.3.5. Best-Estimate Fourth-Order Expression of the Correlation Matrix of the Predicted Responses and Calibrated Model Parameters

4.3.6. Best-Estimate Fourth-Order Expression of the Triple Correlations among Predicted Responses and Calibrated Model Parameters

4.3.7. Best-Estimate Fourth-Order Expression of the Quadruple Correlations among Predicted Responses and Calibrated Model Parameters

4.3.8. Indicator of Consistency among Parameters and Responses

4.4. Conclusions

Appendix 4.A. Auxiliary Computations for Constructing the Fourth-Order Maximum Entropy Distribution for Model Parameters and Responses

CHAPTER 5 :Application of the 4^th-BERRU-PM Methodology to the PERP Reactor Physics Benchmark

5.1. Introduction

5.2. 4^th-BERRU-PM Predicted Best-Estimate Posterior Mean and Variance for the PERP Leakage Response

5.2.1. Low Precision (Standard Deviation=10%) Measurement of the Leakage Response

5.2.1.a. ?High precision? parameters (relative standard deviations )

5.2.1.b. ?Typical precision? parameters (relative standard deviations )

5.2.1.c. ?Low precision? parameters (standard deviations )

5.2.2. Typical Precision (Standard Deviation=5%) Measurement of the Leakage Response

5.2.2.a. ?High? precision parameters (relative standard deviations )

5.2.2.b. ?Typical? precision parameters (relative standard deviations )

5.3. 4^th-BERRU-PM Best-Estimate Posterior Mean Values of Calibrated Model Parameters

5.3.1. ?High? precision parameters (relative standard deviations )

5.3.2. ?Typical? precision parameters (relative standard deviations )

5.4. 4^th-BERRU-PM Best-Estimate Posterior Correlations Between Predicted Responses and Calibrated Model Parameters

5.4.1. ?High? precision parameters (relative standard deviations )

5.4.2. ?Typical precision? parameters (relative standard deviations )

5.5. 4^th-BERRU-PM Best-Estimate Posterior Covariance Matrix of Calibrated Model Parameters

5.5.1. ?High? precision parameters (relative standard deviations )

5.5.2. ?Typical? precision parameters (relative standard deviations )

5.5.3. ?Low? precision parameters (relative standard deviations ); ?low? precision measurement ()

5.6. 4^th-BERRU-PM Best-Estimate Posterior Skewness of Predicted Responses and Calibrated Model Parameters

5.7. 4^th-BERRU-PM Best-Estimate Posterior Kurtosis of Predicted Responses and Calibrated Model Parameters

5.8. Concluding Remarks

CHAPTER 6: Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology: Mathematical Framework

6.1. Introduction

6.2. First-Order Comprehensive Adjoint Sensitivity Analysis Methodology

6.3. Second-Order Comprehensive Adjoint Sensitivity Analysis Methodology

6.4. Third-Order Comprehensive Adjoint Sensitivity Analysis Methodology

6.5. Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology

6.6. Concluding Remarks

CHAPTER 7: Polyethylene Reflected Plutonium (PERP) Reactor Physics Benchmark: Sensitivities of the Neutron Leakage Response to Total Cross Sections

7.1. Introduction

7.2. Computation of First-Order Sensitivities

7.3. Computation of Second-Order Sensitivities

7.4. Computation of Third-Order Sensitivities

7.5. Computation of Fourth-Order Sensitivities

7.6 Computational Considerations

7.7. Concluding Remarks