Why the Mathematical Analysis is Important

In this chapter we illustrate by using simple model examples which types of problems are solved in sizing and shape optimization (SSO). Further, we present some difficulties one may meet in their practical realization. Finally we try to convince the reader of the helpfulness of a thorough mathematic...

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Published inIntroduction to Shape Optimization pp. 2 - 11
Main Authors Mäkinen R. A. E, Haslinger J
Format Book Chapter
LanguageEnglish
Published Society for Industrial and Applied Mathematics (SIAM) 2003
Society for Industrial and Applied Mathematics
SeriesAdvances in Design and Control
Subjects
Online AccessGet full text
ISBN0898715369
9780898715361
DOI10.1137/1.9780898718690.ch1

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Abstract In this chapter we illustrate by using simple model examples which types of problems are solved in sizing and shape optimization (SSO). Further, we present some difficulties one may meet in their practical realization. Finally we try to convince the reader of the helpfulness of a thorough mathematical analysis of the problems to be solved. We start this chapter with a simple sizing optimization problem whose exact solution can be found by hand. Let us consider a simply supported beam of variable thickness e represented by the interval I = [0, 1]. The beam is under a uniform vertical load f 0 . One wants to find a thickness distribution to maximize the stiffness of the beam. The deflection u≔ u (e) of the beam solves the following fourth order boundary value problem: ( β e 3 u ″ ( x ) ) ″ = ƒ 0 in [ 0 , 1 ] , u ( 0 ) = u ( 1 ) = ( β e 3 u ″ ) ( 0 ) = ( β e 3 u ″ ) ( 1 ) = 0 , ( P ′ ( e ) ) where β is a given positive constant. The stiffness of the beam is characterized by the compliance functional J defined by J ( u ( e ) ) = ∫ 0 1 ƒ 0 u ( e ) d x , where u (e) solves ( P ′ ( e ) ) . The stiffer the construction is, the lower the value J attains. Therefore the stiffness maximization is equivalent to the compliance minimization. We formulate the following sizing optimization problem: Find e * ∈ U a d such that J ( u ( e * ) ) ≤ J ( u ( e ) ) ∀ e ∈ U a d , ( ℙ ℙ 1 ) where Uad is the set of admissible thicknesses defined as follows: U a d = { e : [ 0 , 1 ] → ℝ + | ∫ 0 1 e ( x ) d x = γ } , γ > 0 given . The integral constraint appearing in the definition of Uad says that the volume of the beam is preserved. Next we show how to find a solution to (ℙ 1 ).
AbstractList In this chapter we illustrate by using simple model examples which types of problems are solved in sizing and shape optimization (SSO). Further, we present some difficulties one may meet in their practical realization. Finally we try to convince the reader of the helpfulness of a thorough mathematical analysis of the problems to be solved. We start this chapter with a simple sizing optimization problem whose exact solution can be found by hand. Let us consider a simply supported beam of variable thickness e represented by the interval I = [0, 1]. The beam is under a uniform vertical load f 0 . One wants to find a thickness distribution to maximize the stiffness of the beam. The deflection u≔ u (e) of the beam solves the following fourth order boundary value problem: ( β e 3 u ″ ( x ) ) ″ = ƒ 0 in [ 0 , 1 ] , u ( 0 ) = u ( 1 ) = ( β e 3 u ″ ) ( 0 ) = ( β e 3 u ″ ) ( 1 ) = 0 , ( P ′ ( e ) ) where β is a given positive constant. The stiffness of the beam is characterized by the compliance functional J defined by J ( u ( e ) ) = ∫ 0 1 ƒ 0 u ( e ) d x , where u (e) solves ( P ′ ( e ) ) . The stiffer the construction is, the lower the value J attains. Therefore the stiffness maximization is equivalent to the compliance minimization. We formulate the following sizing optimization problem: Find e * ∈ U a d such that J ( u ( e * ) ) ≤ J ( u ( e ) ) ∀ e ∈ U a d , ( ℙ ℙ 1 ) where Uad is the set of admissible thicknesses defined as follows: U a d = { e : [ 0 , 1 ] → ℝ + | ∫ 0 1 e ( x ) d x = γ } , γ > 0 given . The integral constraint appearing in the definition of Uad says that the volume of the beam is preserved. Next we show how to find a solution to (ℙ 1 ).
Author Mäkinen R. A. E
Haslinger J
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Snippet In this chapter we illustrate by using simple model examples which types of problems are solved in sizing and shape optimization (SSO). Further, we present...
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SubjectTerms General Engineering & Project Administration
Manufacture & Processing
Structural optimization—Mathematics
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Title Why the Mathematical Analysis is Important
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