Publication detail

Optimisation of building structures II (RBSO)

PLŠEK, J. ŠTĚPÁNEK, P.

Original Title

Optimisation of building structures II (RBSO)

English Title

Optimisation of building structures II (RBSO)

Type

journal article - other

Language

en

Original Abstract

Reliability-Based Structural Optimisation (RBSO) incorporates probabilistic structural reliability analysis into structural optimisation. A sample definition of an RBSO problem and its solution are presented for the optimisation of an RC cross-section, which is subjected to combinations of normal force and bending moments. The presented RBSO algorithm utilizes the LHS (Latin Hypercube Sampling) approximate simulation method for reliability computations. Numerical results for the particular data set are presented.

English abstract

Reliability-Based Structural Optimisation (RBSO) incorporates probabilistic structural reliability analysis into structural optimisation. A sample definition of an RBSO problem and its solution are presented for the optimisation of an RC cross-section, which is subjected to combinations of normal force and bending moments. The presented RBSO algorithm utilizes the LHS (Latin Hypercube Sampling) approximate simulation method for reliability computations. Numerical results for the particular data set are presented.

Keywords

optimisation, concrete, reinforcement, stochastic

RIV year

2010

Released

01.12.2010

Location

Brno

Pages from

322

Pages to

338

Pages count

17

BibTex


@article{BUT49456,
  author="Jan {Plšek} and Petr {Štěpánek}",
  title="Optimisation of building structures II (RBSO)",
  annote="Reliability-Based Structural Optimisation (RBSO) incorporates probabilistic structural reliability analysis into structural optimisation. A sample definition of an RBSO problem and its solution are presented for the optimisation of an RC cross-section, which is subjected to combinations of normal force and bending moments. The presented RBSO algorithm utilizes the LHS (Latin Hypercube Sampling) approximate simulation method for reliability computations. Numerical results for the particular data set are presented.",
  chapter="49456",
  journal="Engineering Mechanics",
  number="5/6",
  volume="17",
  year="2010",
  month="december",
  pages="322--338",
  type="journal article - other"
}