Engineering design reliability applications: For the Aerospace, Automotive and Ship Industries..

374 Pages·2007·7.48 MB·English

by  Efstratios Nikolaidis

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ENGINEERING DESIGN
RELIABILITY APPLICATIONS
For the Aerospace, Automotive,
and Ship Industries
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ENGINEERING DESIGN
RELIABILITY APPLICATIONS
For the Aerospace, Automotive,
and Ship Industries
Edited by
Dr. Efstratios Nikolaidis
Professor, Mechanical, Industrial and Manufacturing Engineering Department
The University of Toledo, Toledo, Ohio, USA
Dr. Dan M. Ghiocel
President, Ghiocel Predictive Technologies Inc., Rochester, New York, USA
Adjunct Professor with Case Western Reserve University, Cleveland, Ohio, USA
Dr. Suren Singhal
Assistant Manager, Materials, Processes, and Manufacturing Department,
NASA Marshall Space Flight Center, MSFC, Alabama, USA
Boca Raton London New York
CRC Press is an imprint of the
Taylor & Francis Group, an informa business
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Library of Congress Cataloging-in-Publication Data
Nikolaidis, Efstratios.
Engineering design reliability applications : for the aerospace, automotive, and ship industries /
Efstratios Nikolaidis, Dan M. Ghiocel, Suren Singhal.
p. cm.
Includes bibliographical references and index.
ISBN 978-1-4200-5132-2 (alk. paper)
1. Engineering design. 2. Reliability (Engineering) I. Ghiocel, Dan M. II. Singhal, Suren. III. Title.
TA174.N55 2007
629.04--dc22 2007017923
Visit the Taylor & Francis Web site at
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Dedications
To my parents George Nikolaidis and Theopisti Nikolaidis
Efstratios Nikolaidis
To my father Professor Dan Ghiocel, President of the Romanian Academy of Technical
Science, Civil Engineering Division
Dan M. Ghiocel
To my parents, my wife Adesh, and children Rashi and Sara, and to all-too-important
mentors, colleagues, and friends
Suren Singhal
v
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If one does not reflect, one thinks oneself master of everything; but when one does reflect,
one realizes that one is a master of nothing.
Voltaire
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Contents
1
Applications of Reliability Assessment for Aerospace, Automotive,
Bioengineering, and Weapons Systems
David S. Riha, Ben H. Thacker, Luc J. Huyse, Mike P. Enright, Chris J. Waldhart,
W. Loren Francis, Daniel P. Nicolella, Stephen J. Hudak, Wuwei Liang,
and Simeon H.K. Fitch........................................................................................................................1-1
2 Reliability Assessment of Aircraft Structure Joints Under
Corrosion-Fatigue Damage
Dan M. Ghiocel and Eric J. Tuegel.....................................................................................................2-1
3
Selected Topics in Probabilistic Gas Turbine Engine
Turbomachinery Design
James A. Griffiths and Jonathan A. Tschopp......................................................................................3-1
4
Applications of Reliability-Based Design Optimization
Robert H. Sues, Youngwon Shin, and (Justin) Y.-T. Wu....................................................................4-1
5
Probabilistic Progressive Buckling of Conventional
and Adaptive Trusses
Shantaram S. Pai and Christos C. Chamis........................................................................................5-1
6
Probabilistic Analyses of High-Speed Civil Transport (HSCT)
Combustor Liner Components
Shantaram S. Pai and Pappu L.N. Murthy........................................................................................6-1
7 Probabilistic Analysis and Design in the Automotive Industry
Zissimos P. Mourelatos, Jian Tu, and Xuru Ding...............................................................................7-1
8
Integrated Computer-Aided Engineering Methodology
for Various Uncertainties and Multidisciplinary Applications
Kyung K. Choi, Byeng D. Youn, Jun Tang, Jeffrey S. Freeman,
Thomas J. Stadterman, Alan L. Peltz, and William (Skip) Connon.................................................8-1
vii
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9 Reliability Assessment of Ships
Jeom Kee Paik and Anil Kumar Thayamballi....................................................................................9-1
10
Reliability Analysis of Composite Structures and Materials
Sankaran Mahadevan.......................................................................................................................10-1
11
Micromechanics Modeling and Reliability Analysis
of Carbon Nanocomposite Structures
Srikanth Pilla, Aaron Hammitt, and Efstratios Nikolaidis..............................................................11-1
Index..........................................................................................................................................................I-1
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Preface
In today's competitive business environment, design decisions involve significant uncertainty. Manufac-
turers strive to meet customer expectations for high performance, large product variety, and low cost.
Deterministic approaches often yield inefficient designs because they use empirical tools, such as safety
factors or worst-case scenarios, to accommodate uncertainty (Figure 1a). Use of deterministic methods
to reduce cost or weight may result in systems that are vulnerable to variability and uncertainty because
they operate on very tight margins (Figure 1b). To succeed in this environment, one should replace
traditional deterministic design approaches with a new risk-based approach that uses rigorous models
to quantify uncertainty and assess reliability (Figure 1c).
Reliability methods are becoming increasingly popular in the aerospace, automotive, civil, defense,
and power industries because they help design safer and more reliable products at lower cost than
traditional deterministic approaches. These methods have helped companies such as General Electric,
United Technologies, General Motors, Ford, DaimlerChrysler, Boeing, Lockheed Martin, and Motorola
improve dramatically their competitive position and save billions of dollars in engineering design and
warranty costs. Although reliability design methods are being implemented in the industry, researchers
are making important advances on various fronts including development of advanced reliability methods
for complex practical systems, reliability design, and decision under uncertainty.
Companies need to educate their designers and managers about the advantages and potential of
probabilistic methods. Professors need to educate their students about nondeterministic methods and
increase the awareness of administrators about the importance and potential of these methods. Excellent
books are available on reliability analysis and design and on decision under uncertainty; yet a compre-
hensive, detailed documentation of successful applications of these methods on complex real-world
Cost, Performance
Increase
x
2 x2 x2
Success Nominal Design
Region
High-Low Values
Failure Region Failure Region Failure Region Worst Case
x x x
1 1 1
(a) (b) (c)
FIGURE 1 Deterministic design may produce overly expensive (a) or unsafe designs (b). Probabilistic methods yield
more economical and safer designs (c). Ellipses are regions containing some fixed percent of realizations.
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