Robust Engineering Design-By-Reliability With Emphasis On Mechanical Components & Structural Reliability, Volume 1 | by Dimitri B. Kececioglu | ISBN: 9781932078077. Engineering Reliability Books. METHODOLOGY FOR EVALUATING RELIABILITY

December 14, 2009 by kutenk
Filed under: Engineering Books

Robust Engineering Design-By-Reliability With Emphasis On Mechanical Components & Structural Reliability, Volume 1

by Dimitri B. Kececioglu,
ISBN:9781932078077

This detailed text provides an advanced methodology to achieve optimum designed-in reliability of products and components, which will enable an engineer to design products and components with superior reliability, maintainability, safety, and value.

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Robust Engineering Design-By-Reliability With Emphasis On Mechanical Components & Structural Reliability, Volume 1

Preface
Chapter 1 – Introduction
1.1: THE NEED FOR ENGINEERING DESIGN-BY-RELIABILITY
1.2: DIFFERENCES BETWEEN MECHANICAL AND ELECTRONIC RELIABILITY PREDICTION METHODS
1.3: AVAILABLE MECHANICAL RELIABILITY PREDICTION METHODS
1.4: COMPARISON OF THE CONVENTIONAL DESIGN METHODOLOGY AND THE “ENGINEERING DESIGN BY RELIABILITY” METHODOLOGY
1.5: THE SAFETY FACTOR AND SAFETY MARGIN CONCEPTS IN DESIGN VERSUS THE RELIABILITY CONCEPT
PROBLEMS
REFERENCES

Chapter 2 – Fifteen-Step Reliability Prediction and the “Robust Engineering Design by Reliability” Methodology
2.1: INTRODUCTION
2.2: DEFINITION OF RELIABILITY
2.3: FIFTEEN-STEP METHODOLOGY
PROBLEMS
REFERENCES

Chapter 3 – The Central Limit Theorem, and the Moments and the Monte Carlo Simulation Methods of Synthesizing Distributions
3.1: THE SUM OF MANY INDEPENDENT AND IDENTICALLY DISTRIBUTED (IID) RANDOM VARIABLES
3.2: THE CENTRAL LIMIT THEOREM
3.3: THE METHOD OF MOMENTS
3.3: THE METHOD OF MOMENTS (CONTINUED)
3.4: INTERPOLATION PROCEDURE FOR z’a TABLES
3.5: THE MONTE CARLO SIMULATION METHOD
3.6: COMMENTS ON METHODS FOR SYNTHESIZING DISTRIBUTIONS
PROBLEMS
REFERENCES

Chapter 4 – Methods of Determining the Failure Governing Stress Distribution
4.1: DETERMINATION OF THE LOAD CHARACTERISTICS AND THE ASSOCIATED STRESS DISTRIBUTION
4.2: PROCEDURE FOR DETERMINING THE FAILURE GOVERNING STRESS DISTRIBUTION
4.3: METHODS OF SYNTHESIZING THE FAILURE GOVERNING STRESS DISTRIBUTION
4.4: BINARY SYNTHESIS OF DISTRIBUTIONS
4.5: GENERATION OF SYSTEM MOMENTS
4.6: MONTE CARLO SIMULATION
PROBLEMS
REFERENCES

Chapter 5 – Methods of Determining the Failure Governing Strength-Distribution
5.1: DISTRIBUTION OF THE MATERIAL PROPERTIES AND THE ASSOCIATED STRENGTH DISTRIBUTION
5.2: DATA GENERATION AND DETERMINATION OF THE DISTRIBUTIONS OF THE MATERIAL STRENGTH PROPERTIES
5.3: PROCEDURE FOR DETERMINING THE FAILURE GOVERNING STRENGTH DISTRIBUTION
5.4: BINARY SYNTHESIS OF NORMAL DISTRIBUTIONS METHOD
5.5: GENERATING SYSTEM MOMENTS METHOD
5.6: MONTE CARLO SIMULATION METHOD
PROBLEMS
REFERENCES

Chapter 6 – Illustrated Methods of Calculating the Reliability of Components
6.1: INTRODUCTION
6.2: THE GENERAL RELIABILITY EXPRESSION TO BE USED WHEN f(S) and f(s) ARE BOTH NEITHER NORMALLY NOR LOGNORMALLY DISTRIBUTED
6.3: NUMERICAL INTEGRATION
6.4: MELLIN TRANSFORMS
6.5: MONTE CARLO SIMULATION
6.6: NORMAL FAILURE GOVERNING STRESS AND STRENGTH DISTRIBUTIONS
6.7: LOGNORMAL FAILURE GOVERNING STRESS AND STRENGTH DISTRIBUTIONS
6.8: RELIABILITY OF COMPONENTS GIVEN THE FAILURE GOVERNING STRESS DISTRIBUTION AND A DISCRETE, FIXED FAILURE GOVERNING STRENGTH
6.9: RELIABILITY OF COMPONENTS GIVEN A DISCRETE FAILURE GOVERNING STRESS AND THE FAILURE GOVERNING STRENGTH DISTRIBUTION
6.10: RELIABILITY OF COMPONENTS GIVEN DISCRETE FAILURE GOVERNING STRESS AND STRENGTH
6.11: RELIABILITY WHEN f(s) AND f(S) ARE BOTH NORMAL, AND WHEN s = S
6.12: RELIABILITY WHEN FAILURE GOVERNING STRESS AND STRENGTH ARE BOTH DISTRIBUTED
6.13: RELIABILITY OF COMPONENTS SUBJECTED TO FATIGUE GIVEN A FIXED ALTERNATING STRESS LEVEL, THE CORRESPONDING CYCLES-TO-FAILURE DISTRIBUTION AND A SPECIFIC LIFE REQUIREMENT
6.14: RELIABILITY WHEN OPERATING AN ADDITIONAL NUMBER OF CYCLES HAVING ALREADY COMPLETED A SPECIFIC NUMBER OF CYCLES OF OPERATION AT A SPECIFIC ALTERNATING STRESS LEVEL AND THE ASSOCIATED f (N)
6.15: RELIABILITY GIVEN THE DISTRIBUTION OF THE DUTY CYCLES OF OPERATION OF IDENTICAL COMPONENTS AND THEIR CYCLES-TO-FAILURE DISTRIBUTION UNDER FATIGUE LOADING
6.16: RELIABILITY FOR A SPECIFIC LIFE GIVEN THE FAILURE GOVERNING STRENGTH DISTRIBUTION FOR THAT LIFE AND A CONSTANT MAXIMUM ALTERNATING STRESS UNDER FATIGUE LOADING
6.17: RELIABILITY FOR A SPECIFIC LIFE GIVEN THE FAILURE GOVERNING STRENGTH DISTRIBUTION FOR THAT LIFE AND THE FAILURE GOVERNING MAXIMUM ALTERNATING STRESS DISTRIBUTION FOR THAT LIFE UNDER FATIGUE LOADING
6.18:RELIABILITY FOR COMPLETING AN ADDITIONAL NUMBER OF CYCLES, HAVING ALREADY COMPLETED A SPECIFIC NUMBER OF CYCLES OF OPERATION SUCCESSFULLY, GIVENf(Sn1), ANDf(sn1),f(Sn1+n) andf(sn1+nUNDER FATIGUE LOADING
6.19: RELIABILITY WITH COMBINED ALTERNATING AND MEAN STRESS UNDER FATIGUE LOADING
PROBLEMS
REFERENCES

Chapter 7 – Determination of the Designed-in Reliability Confidence Limit at a Specified Confidence Level
7.1: INTRODUCTION
7.2: DETERMINATION OF MECHANICAL RELIABILITY
7.3: DETERMINATION OF THE LOWER ONE-SIDED CONFIDENCE LIMIT ON THE RELIABILITY
7.4: CALCULATING THE LOWER ONE-SIDED CONFIDENCE LIMIT ON THE RELIABILITY
7.5: EFFECT OF CONFIDENCE LEVEL ON THE LOWER, ONE-SIDED CONFIDENCE LIMIT ON THE RELIABILITY
7.6: EFFECT OF SAMPLE SIZE ON THE LOWER, ONE-SIDED CONFIDENCE LIMIT ON THE RELIABILITY
7.7: HOW TO DESIGN TO A RELIABILITY GOAL AT A SPECIFIED CONFIDENCE LEVEL
7.8: CONCLUSIONS AND RECOMMENDATIONS
PROBLEMS
REFERENCES

Chapter 8 – Unreliability and Reliability Determination by the Stress/Strength Distributions’ Interference Approach
8.1: INTRODUCTION
8.2: THE FAILURE PROBABILITY AND FAILURE FUNCTION
8.3: FAILURE FUNCTION DETERMINATION
8.4: THE SURVIVAL FUNCTION
8.5: DETERMINATION OF RELIABILITY OR UNRELIABILITY BY THE DIFFERENCE-DISTRIBUTION METHOD
8.6: CONCLUSIONS
PROBLEMS
REFERENCES

Chapter 9 – A Unified Look at Design Safety Factors, Safety Margins and Measures of Reliability
9.1: INTRODUCTION
9.2: FAILURE GOVERNING STRESS AND STRENGTH, AND THEIR DISTRIBUTIONS
9.3: SAFETY FACTORS
9.4: SAFETY MARGINS
9.5: MEASURES OF RELIABILITY
9.6: CONCLUSIONS
PROBLEMS
REFERENCES

Chapter 10 – Comparative Accuracy of Evaluating Reliability Using Simpson’s Rule, The Trapezoidal Rule and The Gauss-Legendre Method
10.1: INTRODUCTION
10.2: SIMPSON’S RULE, TRAPEZOIDAL RULE, AND GAUSS-LEGENDRE METHODS
10.3: METHODOLOGY FOR EVALUATING RELIABILITY
10.4: COMPARISON OF THE ACCURACY
10.5: CONCLUSIONS
REFERENCES

Chapter 11 – Exact and Easy to Obtain Solutions for the Prediction of the Reliability of Mechanical Components and Structural Members
11.1: INTRODUCTION
11.2: LOGNORMAL FAILURE GOVERNING STRESS AND STRENGTH DISTRIBUTIONS
11.3: GAMMA FAILURE GOVERNING STRESS AND STRENGTH DISTRIBUTIONS
11.4: EXPONENTIAL FAILURE GOVERNING STRESS AND NORMAL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.5: EXPONENTIAL FAILURE GOVERNING STRESS AND TRUNCATED NORMAL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.6: NORMAL FAILURE GOVERNING STRESS AND EXPONENTIAL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.7: TRUNCATED NORMAL FAILURE GOVERNING STRESS AND EXPONENTIAL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.8: EXPONENTIAL FAILURE GOVERNING STRESS AND STRENGTH DISTRIBUTIONS
11.9: UNIFORM FAILURE GOVERNING STRESS AND GAMMA FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.10: GAMMA FAILURE GOVERNING STRESS AND UNIFORM FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.11: UNIFORM FAILURE GOVERNING STRESS AND NORMAL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.12: NORMAL FAILURE GOVERNING STRESS AND UNIFORM FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.13: UNIFORM FAILURE GOVERNING STRESS AND WEIBULL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.14: WEIBULL FAILURE GOVERNING STRESS AND UNIFORM FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.15: UNIFORM FAILURE GOVERNING STRESS AND EXTREME VALUE OF THE MINIMA FAILURE GOVERNING STRENGTH DISTRIBUTIONS
11.16: EXTREME VALUE OF THE MAXIMA FAILURE GOVERNING STRESS AND UNIFORM FAILURE GOVERNING STRENGTH DISTRIBUTIONS
PROBLEMS
REFERENCES

Chapter 12 – Numerical Solutions for the Prediction of the Reliability of Mechanical Components and Structural Members when closed form Solutions are not available
12.1: INTRODUCTION
12.2: WEIBULL FAILURE GOVERNING STRESS AND WEIBULL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
12.3: NORMAL FAILURE GOVERNING STRESS AND WEIBULL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
12.4: WEIBULL FAILURE GOVERNING STRESS AND NORMAL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
12.5: LOGNORMAL FAILURE GOVERNING STRESS AND WEIBULL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
12.6: WEIBULL FAILURE GOVERNING STRESS AND LOGNORMAL FAILURE GOVERNING STRENGTH DISTRIBUTIONS
12.7: EXTREME VALUE OF THE MAXIMA FAILURE GOVERNING STRESS AND EXTREME VALUE OF THE MINIMA FAILURE GOVERNING STRENGTH DISTRIBUTIONS
PROBLEMS
REFERENCES

Chapter 13 – Monte Carlo Simulation Method for Reliability Determination
13.1: RELIABILITY PREDICTION USING MONTE CARLO SIMULATION
13.2: ERROR BOUNDS AND NUMBER OF MONTE CARLO TRIALS
13.3: VARIANCE REDUCTION METHODS
PROBLEMS
REFERENCES

Chapter 14 – Failure Modes, Effects, and Criticality Analysis
14.1: INTRODUCTION
14.2: MAJOR STEPS IN A FAMECA
14.3: METHOD 1
14.4: METHOD 2
PROBLEMS
REFERENCES

Chapter 15 – Additional Applications of these Methodologies
OVERVIEW
PROBLEMS
REFERENCES

Chapter 16 – Application Guidance for these Methodologies
Appendix A – Standardized Normal Distribution’s Area Tables

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