The Resource Optimization and anti-optimization of structures under uncertainty, Isaac Elishakoff, Makoto Ohsaki, (electronic resource)

Optimization and anti-optimization of structures under uncertainty, Isaac Elishakoff, Makoto Ohsaki, (electronic resource)

Label
Optimization and anti-optimization of structures under uncertainty
Title
Optimization and anti-optimization of structures under uncertainty
Statement of responsibility
Isaac Elishakoff, Makoto Ohsaki
Creator
Contributor
Provider
Subject
Genre
Language
eng
Summary
The volume presents a collaboration between internationally recognized experts on anti-optimization and structural optimization, and summarizes various novel ideas, methodologies and results studied over 20 years. The book vividly demonstrates how the concept of uncertainty should be incorporated in a rigorous manner during the process of designing real-world structures. The necessity of anti-optimization approach is first demonstrated, then the anti-optimization techniques are applied to static, dynamic and buckling problems, thus covering the broadest possible set of applications. Finally, anti-optimization is fully utilized by a combination of structural optimization to produce the optimal design considering the worst-case scenario. This is currently the only book that covers the combination of optimization and anti-optimization. It shows how various optimization techniques are used in the novel anti-optimization technique, and how the structural optimization can be exponentially enhanced by incorporating the concept of worst-case scenario, thereby increasing the safety of the structures designed in various fields of engineering
Cataloging source
N$T
http://library.link/vocab/creatorName
Elishakoff, Isaac
Illustrations
illustrations
Index
index present
LC call number
TA658.8
LC item number
E53 2010eb
Literary form
non fiction
Nature of contents
  • standards specifications
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1960-
http://library.link/vocab/relatedWorkOrContributorName
  • ebrary
  • Ohsaki, Makoto
http://library.link/vocab/subjectName
  • Structural optimization
  • Structural analysis (Engineering)
  • Structural stability
  • Computer-aided engineering
  • Civil engineering
  • Engineering
  • TECHNOLOGY & ENGINEERING
Label
Optimization and anti-optimization of structures under uncertainty, Isaac Elishakoff, Makoto Ohsaki, (electronic resource)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. Introduction. 1.1. Probabilistic analysis : bad news. 1.2. Probabilistic analysis : good news. 1.3. Convergence of probability and anti-optimization -- 2. Optimization or making the best in the presence of certainty/uncertainty. 2.1. Introduction. 2.2. What can we get from structural optimization? 2.3. Definition of the structural optimization problem. 2.4. Various formulations of optimization problems. 2.5. Approximation by metamodels. 2.6. Heuristics. 2.7. Classification of structural optimization problems. 2.8. Probabilistic optimization. 2.9. Fuzzy optimization -- 3. General formulation of anti-optimization. 3.1. Introduction. 3.2. Models of uncertainty. 3.3. Interval analysis. 3.4. Ellipsoidal model. 3.5. Anti-optimization problem. 3.6. Linearization by sensitivity analysis. 3.7. Exact reanalysis of static response -- 4. Anti-optimization in static problems. 4.1. A simple example. 4.2. Boley's pioneering problem. 4.3. Anti-optimization problem for static responses. 4.4. Matrix perturbation methods for static problems. 4.5. Stress concentration at a nearly circular hole with uncertain irregularities. 4.6. Anti-optimization of prestresses of tensegrity structures -- 5. Anti-optimization in buckling. 5.1. Introduction. 5.2. A simple example. 5.3. Buckling analysis. 5.4. Anti-optimization problem. 5.5. Worst imperfection of braced frame with multiple buckling loads. 5.6. Anti-optimization based on convexity of stability region. 5.7. Worst imperfection of an arch-type truss with multiple member buckling at limit point. 5.8. Some further references -- 6. Anti-optimization in vibration. 6.1. Introduction. 6.2. A simple example of anti-optimization for eigenvalue of vibration. 6.3. Bulgakov's problem. 6.4. Non-probabilistic, convex-theoretic modeling of scatter in material properties. 6.5. Anti-optimization of earthquake excitation and response. 6.6. A generalization of the Drenick-Shinozuka model for bounds on the seismic response. 6.7. Aeroelastic optimization and anti-optimization. 6.8. Some further references -- 7. Anti-optimization via FEM-based interval analysis. 7.1. Introduction. 7.2. Interval analysis of MDOF systems. 7.3. Interval finite element analysis for linear static problem. 7.4. Interval finite element analysis of shear frame. 7.5. Interval analysis for pattern loading. 7.6. Some further references -- 8. Anti-optimization and probabilistic design. 8.1. Introduction. 8.2. Contrasting probabilistic and anti-optimization approaches. 8.3. Anti-optimization versus probability : vector uncertainty -- 9. Hybrid optimization with anti-optimization under uncertainty or making the best out of the worst. 9.1. Introduction. 9.2. A simple example. 9.3. Formulation of the two-level optimization-anti-optimization problem. 9.4. Algorithms for two-level optimization-anti-optimization. 9.5. Optimization against nonlinear buckling. 9.6. Stress and displacement constraints. 9.7. Compliance constraints. 9.8. Homology design. 9.9. Design of flexible structures under constraints on asymptotic stability. 9.10. Force identification of prestressed structures. 9.11. Some further references -- 10. Concluding remarks. 10.1. Why were practical engineers reluctant to adopt structural optimization? 10.2. Why didn't practical engineers totally embrace probabilistic methods? 10.3. Why don't the probabilistic methods find appreciation among theoreticians and practitioners alike? 10.4. Is the suggested methodology a new one? 10.5. Finally, why did we write this book?
Dimensions
unknown
Extent
1 online resource (xxii, 402 pages)
Form of item
electronic
Isbn
9781848164789
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
9786612760068
Other physical details
illustrations
Specific material designation
remote
Stock number
276006
System control number
  • (OCoLC)670429484
  • (OCoLC)ocn670429484
Label
Optimization and anti-optimization of structures under uncertainty, Isaac Elishakoff, Makoto Ohsaki, (electronic resource)
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. Introduction. 1.1. Probabilistic analysis : bad news. 1.2. Probabilistic analysis : good news. 1.3. Convergence of probability and anti-optimization -- 2. Optimization or making the best in the presence of certainty/uncertainty. 2.1. Introduction. 2.2. What can we get from structural optimization? 2.3. Definition of the structural optimization problem. 2.4. Various formulations of optimization problems. 2.5. Approximation by metamodels. 2.6. Heuristics. 2.7. Classification of structural optimization problems. 2.8. Probabilistic optimization. 2.9. Fuzzy optimization -- 3. General formulation of anti-optimization. 3.1. Introduction. 3.2. Models of uncertainty. 3.3. Interval analysis. 3.4. Ellipsoidal model. 3.5. Anti-optimization problem. 3.6. Linearization by sensitivity analysis. 3.7. Exact reanalysis of static response -- 4. Anti-optimization in static problems. 4.1. A simple example. 4.2. Boley's pioneering problem. 4.3. Anti-optimization problem for static responses. 4.4. Matrix perturbation methods for static problems. 4.5. Stress concentration at a nearly circular hole with uncertain irregularities. 4.6. Anti-optimization of prestresses of tensegrity structures -- 5. Anti-optimization in buckling. 5.1. Introduction. 5.2. A simple example. 5.3. Buckling analysis. 5.4. Anti-optimization problem. 5.5. Worst imperfection of braced frame with multiple buckling loads. 5.6. Anti-optimization based on convexity of stability region. 5.7. Worst imperfection of an arch-type truss with multiple member buckling at limit point. 5.8. Some further references -- 6. Anti-optimization in vibration. 6.1. Introduction. 6.2. A simple example of anti-optimization for eigenvalue of vibration. 6.3. Bulgakov's problem. 6.4. Non-probabilistic, convex-theoretic modeling of scatter in material properties. 6.5. Anti-optimization of earthquake excitation and response. 6.6. A generalization of the Drenick-Shinozuka model for bounds on the seismic response. 6.7. Aeroelastic optimization and anti-optimization. 6.8. Some further references -- 7. Anti-optimization via FEM-based interval analysis. 7.1. Introduction. 7.2. Interval analysis of MDOF systems. 7.3. Interval finite element analysis for linear static problem. 7.4. Interval finite element analysis of shear frame. 7.5. Interval analysis for pattern loading. 7.6. Some further references -- 8. Anti-optimization and probabilistic design. 8.1. Introduction. 8.2. Contrasting probabilistic and anti-optimization approaches. 8.3. Anti-optimization versus probability : vector uncertainty -- 9. Hybrid optimization with anti-optimization under uncertainty or making the best out of the worst. 9.1. Introduction. 9.2. A simple example. 9.3. Formulation of the two-level optimization-anti-optimization problem. 9.4. Algorithms for two-level optimization-anti-optimization. 9.5. Optimization against nonlinear buckling. 9.6. Stress and displacement constraints. 9.7. Compliance constraints. 9.8. Homology design. 9.9. Design of flexible structures under constraints on asymptotic stability. 9.10. Force identification of prestressed structures. 9.11. Some further references -- 10. Concluding remarks. 10.1. Why were practical engineers reluctant to adopt structural optimization? 10.2. Why didn't practical engineers totally embrace probabilistic methods? 10.3. Why don't the probabilistic methods find appreciation among theoreticians and practitioners alike? 10.4. Is the suggested methodology a new one? 10.5. Finally, why did we write this book?
Dimensions
unknown
Extent
1 online resource (xxii, 402 pages)
Form of item
electronic
Isbn
9781848164789
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
9786612760068
Other physical details
illustrations
Specific material designation
remote
Stock number
276006
System control number
  • (OCoLC)670429484
  • (OCoLC)ocn670429484

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