Mathematical models of shakedown load optimization problem

Atkočiūnas, Juozas; Nagevičius, Juozas; Skaržauskas, Valentinas

Use this url to cite publication: https://hdl.handle.net/20.500.14911/140674

Mathematical models of shakedown load optimization problem

Details

Publication Type (CRIS)

Straipsnis nerecenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in non-peer-reviewed Lithuanian international conference proceedings (P2b)

Publication Type (eLABa)

Straipsnis nerecenzuotame konferencijos darbų leidinyje / Article in an un-reviewed conference proceedings (P2)

Author(s)

Author	Affiliation
Atkočiūnas, Juozas	Taikomosios mechanikos katedra / Department of Applied Mechanics (0260)
Nagevičius, Juozas	Taikomosios mechanikos katedra / Department of Applied Mechanics (0260)
Skaržauskas, Valentinas	Vilniaus Gedimino technikos universitetas / Vilnius Gediminas Technical University (111950243)

Title

Mathematical models of shakedown load optimization problem

[en]

J. Atkočiūnas, J. Nagevičius, V. Skaržauskas

Is part of

Modern building materials, structures and techniques : proceedings of 5th international conference, held on May 21-24, 1997, Vilnius, Lithuania

Published In

Year	Start Page	End Page
1997	193	198

Publisher

Vilnius : Technika, 1997

Extent

p. 193-198

URI

URI
https://hdl.handle.net/20.500.14911/140674

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Statybos inžinerija / Civil engineering (T002)

Mechanikos inžinerija / Mechanical Engineering (T009)

Keywords (en)

Abstract (en)

A cyclic load, satisfying the rigidity and the strength conditions, optimal distribution evaluation problem is considered and the mathematical models due to the problem are developed (a simple loading is assumed to be a case of a cyclic loading). The problem is stated as a non-linear mathematical programming problem. A special iterative algorithm to solve the optimization problem is presented. At the every step of the algorithm a convex mathematical programming problem is solved.