2 edition of Optimization and anti-optimization of structures under uncertainty found in the catalog.
Optimization and anti-optimization of structures under uncertainty
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.
Includes bibliographical references (p. 343-385) and indexes.
|Statement||Isaac Elishakoff, Makoto Ohsaki .|
|Contributions||Ohsaki, Makoto, 1960-|
|LC Classifications||TA658.8 .E53 2010|
|The Physical Object|
|Pagination||xxii, 402 p. :|
|Number of Pages||402|
|LC Control Number||2011377213|
34 Optimization and Anti-Optimization of Structures under Uncertainty We can use either specified or randomly generated values as the initial solution. An optimal solution obtained by another optimization approach can be used, with possible modification, as the initial solution; e.g., the nearest solution with integer variables from the optimal. Optimization and Anti-optimization of Structures Under Uncertainty. Imperial College Press. Isaac Elishakoff, Makoto Ohsaki. Whys and Hows in Uncertainty Modelling: Probability, Fuzziness and Anti-Optimization. Springer-Verlag Wien. A search query can be a title of the book, a name of the author, ISBN or anything else.
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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.
An excellent book on structural optimization under uncertain loads. The book follows a simple and efficient way in handling structural optimization under uncertainty. Uncertainty in loads and variability in the structural properties are both treated.5/5(1). Download Citation | Optimization and anti-optimization of structures under uncertainty | The volume presents a collaboration between internationally recognized experts on anti-optimization and.
Optimization and Anti-Optimization of Structures Under Uncertainty. The book vividly demonstrates how the concept of uncertainty should be incorporated in a rigorous manner during the process.
Get this from a library. Optimization and anti-optimization of structures under uncertainty. [Isaac Elishakoff; Makoto Ohsaki] -- The volume presents a collaboration between internationally recognized experts on anti-optimization and structural optimization, and summarizes various novel ideas, methodologies and results studied.
Optimization and Anti-optimization of Structures Under Uncertainty,pages, Isaac Elishakoff, Makoto Ohsaki, World. Optimization And Anti-optimization Of Structures Under Uncertainty by Isaac E. Elishakoff,available at Book Depository with free delivery worldwide. If the address matches an existing account you will receive an email with instructions to reset your password.
Simulation results of the structure optimization under load uncertainty are encouraging, which indicates that the hybrid algorithm integrates local search as anti-optimization is applicable.
The proposed tournament constrained selection method works well and the computation cost is by: 3. لینک ها به روز رسانی شدند. نام کتاب: Optimization & Anti-Optimization of Structures under Uncertainty نویسنده: Isaac Elishakoff و Makoto Ohsaki ویرایش: ۱ سال انتشار: ۲۰۱۰ فرمت: PDF تعداد صفحه: ۴۲۵ کیفیت: OCR انتشارات: Imperial College Press دانلود کتاب – حجم: ۲٫۴۰ مگابایت.
Anti-optimization is a term popularized by Isaac Elishakoff for an approach to safety factors in engineering structures which he describes as pessimistic and searching for least favourable responses, in combination with optimistization techniques but in contrast to probabilistic approaches.
The robust design method under loads uncertainty is a nested optimization. In each iteration process, the worst-case constraints can be achieved by the anti-optimization, and then the outer loop performs the optimization under the constraints.
In this paper, a new anti-optimization technique is used to alleviate the. Wang et al. presented a hybrid genetic algorithm, which was integrated with a simple local search strategy as the worst-case-scenario of an anti-optimization, to tackle structure topology optimization under interval uncertainty.
However, the anti-optimization method is usually time-consuming, especially for the RTO of continuum structures Cited by: uncertainty—optimization with anti-optimization.
Computers & structures, 53(6): Lombardi M, Haftka R T. Anti-optimization technique for structural design under load uncertainties. Computer methods in applied mechanics and engineering, (1): Lombardi M. Optimization of uncertain structures using non.
Optimization of Structures under Load Uncertai nties Based on Hybrid Genetic Algorithm For anti-optimization, the robustness of the objective function can be achieved by maximizing the minimum value of the objective functions. It tends to move the uncertainty parameters to the desirable range and results in higher reliability with respect to.
Pergamon (94)ES Computers it Structures Vol. 53, No. Eisevier Science Ltd Primed in Great Britain /94 $ + STRUCTURAL DESIGN UNDER BOUNDED UNCERTAINTYPTIMIZATION WITH ANTI-OPTIMIZATION I. Elishakofff, R.
Haftkat and J. Fangt fCenter for Applied Stochastics Research, and Department of Mechanical Engineering, Florida Cited by: Isaac Elishakoff is a Distinguished Research Professor in the Ocean and Mechanical Engineering Department in the Florida Atlantic University, Boca Raton, Florida.
He is an authoritative figure in the broad area of mechanics. He has made several contributions in the areas of random vibrations, solid mechanics of composite material, semi-inverse problems of vibrations and stability, functionally Alma mater: Moscow Power Engineering.
In the paper an approach to treat uncertainty in the response of structures under the action of earthquakes is presented. The main problem is focused in the unpredictability of the seismic accelerograms, and the research effort points at identifying the set of admisible quakes by a few basic parameters (duration, peak acceleration, gross Cited by: 2.
In this study, we deal with the problem of structural optimization under uncertainty. In previous studies, either of three philosophies were adopted: (a) probabilistic methodology, (b) fuzzy-sets-based design, or (c) nonprobabilistic approach in the form of given bounds of variation of uncertain by: 2.
Kassimali, Matrix Analysis Of Structures, 2nd ed, I. Elishakoff, Optimization & Anti-Optimization of Structures under Uncertainty, Hassan Rahnema | يكشنبه, ۸ آذر ۱۳۹۴، ۰۶:۰۸ ب.ظ. Optimization and Anti-optimization of Structures Under Uncertainty Shape Optimization under Uncertainty from a Stochastic Programming Point of View " Optimization of Well Placement Under Time-Dependent Uncertainty " by Umut Ã–zdoÄŸan.
This study falls in the category of hybrid optimization and anti-optimization, since we are looking for the worst maximum response, constituting the anti-optimization process; subsequently, we are looking for optimization of the structure to make the maximum Cited by: 1.
Optimization and Anti-Optimization of Structures under Uncertainty, by Isaac Elishakoff and Makoto Ohsaki, Imperial College Press,ISBN: Advances in Data Modeling for Measurements in the Metrology and Testing Fields, by Franco Pavese and Alistair B. Forbes (eds.), Birkhauser-Springer, Boston, Structural design under bounded uncertainty—optimization with anti-optimization I Elishakoff, RT Haftka, J Fang Computers & structures 53 (6), Variability of load magnitude/direction is a most significant source of uncertainties in practical engineering.
This paper investigates robust topology optimization of structures subjected to uncertain dynamic excitations. The unknown-but-bounded dynamic loads/accelerations are described with the non-probabilistic ellipsoid convex model.
The aim of the optimization problem is to minimize Cited by: Makoto Ohsaki is the author of Stability and Optimization of Structures ( avg rating, 1 rating, 0 reviews, published ), Optimization of Finite Di /5(2).
[(Optimization and Anti-Optimization of Structures Under Uncertainty)] [By (author) Isaac Elishakoff] published on (March, ) This book provides an introduction to R programming and a summary of financial mathematics.
It is not always easy for graduate students to grasp an overview of the theory of finance in an abstract form. For newcomers to the finance industry, it is not always obvious how to apply the abstract theory to the real financial data they encounter.
Introducing finance theory alongside numerical. Stability and Optimization of Structures: Generalized Sensitivity Analysis (Mechanical Engineering Series) (Mechanical Engineering Series) Optimization and Anti-optimization of Structures Under Uncertainty.
Imperial College Press. Isaac Elishakoff, Makoto Ohsaki. Year: A search query can be a title of the book, a name of the. Enjoy millions of the latest Android apps, games, music, movies, TV, books, magazines & more. Anytime, anywhere, across your devices. Optimization and anti-optimization of structures under uncertainty Performance-based optimization of structures Layout optimization of structures Abstracts/Full-Text Paper Submission Deadline: Ap Notification of Acceptance/Rejection: Ap ۱۹ مطلب با کلمهی کلیدی «Structural Optimization» ثبت شده است - Download Civil Engineering Books Minimum Weight Structures, Peurifoy R.
L., Construction Planning, Equipment, and Methods, 7th ed, A. Kassimali, Matrix Analysis Of Structures, 2nd ed, mechanics, namely, optimization and anti-optimization under uncertainty and, especially, its combination with stochastic modeling; 6. dynamic stability of structures with imperfections, in elastic or viscoelastic setting; 7.
random vibrations and reliability of composite structures with attendant first book worldwide; Size: KB. The 12 papers were selected from invited lectures at the June US-France symposium "Scale Transition for Plastic Crystalline and Micro-Structured Materials: From Experiment to Numerical Modeling," held in Paris and the April "Damage and Fracture in Heterogeneous Materials and Structures" held at Shalimar.
Elishakoff and M. Ohsaki, Optimization and Anti-Optimization of Structures under Uncertainty (Imperial College Press, London, ). He also coedited the following 13 volumes: 1. Elishakoff and H.
Lyon (Eds.), Random Vibration — Status and Recent Developments (Elsevier Science Publishers, Amsterdam, ). BOOK + AUDIO LEARNING A FOREIGN LANGUAGE Cambridge English Advanced – Handbook for Teachers – for Exams from I.
Elishakoff, Optimization & Anti-Optimization of Structures under Uncertainty, pdf. 3 МБ. Optimization and Anti-optimization of Structures Under Uncertainty. 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.
Ohsaki, Optimization of Finite Dimensional Structures, CRC Press, I. Elishakoff and M. Ohsaki, Optimization and Anti-Optimization of Structures under Uncertainty, Imperial College Press, Optimization and Anti-Optimization of Structures under Uncertainty ‘While the mathematician constructs a theory in terms of “perfect” objects, the experimental scientist observes objects of which the properties demanded by theory are and can, in the very nature of measurement, be only approximately true.’.
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