Discontinuity layout optimization

Discontinuity layout optimization
Failure mechanism of an embedded foundation (identified using DLO)

Discontinuity layout optimization (DLO) is an engineering analysis procedure which can be used to directly establish the amount of load that can be carried by a solid or structure prior to collapse. Using DLO the layout of failure planes, or 'discontinuities', in a collapsing solid or structure are identified using mathematical optimization methods (hence the name, 'discontinuity layout optimization'). It is assumed that failure occurs in a ductile or 'plastic' manner.

Contents

How it works

The DLO procedure involves a number of steps, as outlined below.

Steps in the DLO analysis procedure

The set of potential discontinuities can include discontinuities which crossover one another, allowing complex failure patterns to be identified (e.g. involving ‘fan’ mechanisms, where many discontinuities radiate from a point).

DLO can be formulated in terms of equilibrium relations ('static' formulation) or in terms of displacements ('kinematic' formulation). In the latter case the objective of the mathematical optimization problem is to minimize the internal energy dissipated along discontinuities, subject to nodal compatibility constraints. This can be solved using efficient linear programming techniques and, when combined with an algorithm originally developed for truss layout optimization problems[1], it has been found that modern computer power can be used to directly search through very large numbers of different failure mechanism topologies (up to approx. 21,000,000,000 different topologies on current generation PCs). A full description of the application of DLO to plane strain problems has been provided by Smith and Gilbert[2]

DLO vs FEM

Whereas with finite element analysis (FEM), a widely used alternative engineering analysis procedure, mathematical relations are formed for the underlying continuum mechanics problem, DLO involves analysis of a potentially much simpler discontinuum problem, with the problem being posed entirely in terms of the individual discontinuities which interconnect nodes laid out across the body under consideration. Additionally, when general purpose finite element programs are used to analyse the collapse state often relatively complex non-linear solvers are required, in contrast to the simpler linear programming solvers generally required in the case of DLO.

Compared with non-linear FEM, DLO has the following advantages and disadvantages:

Advantages

  • The collapse state is analysed directly, without the need to iterate.
  • Problems involving singularities in the stress or displacement fields can be dealt with without difficulty.

Disadvantages

  • As with other limit analysis techniques, DLO provides no information about displacements (or stresses) prior to collapse.
  • DLO is a relatively new technique so only a limited range of software tools are currently available.

Applications

DLO is perhaps most usefully applied to engineering problems where traditional hand calculations are difficult, or simplify the problem too much, but where recourse to more complex non-linear FEM is not justified. Applications include:

Software using Discontinuity Layout Optimization

  • DLO MATLAB script (2009-) Provided by the CMD research group at the University of Sheffield, UK.
  • LimitState:GEO (2008-) General purpose geotechnical software application.

References

  1. ^ Gilbert, M. and Tyas, A. (2003) Layout optimization of large-scale pin-jointed frames, Engineering Computations, Vol. 20, No. 8, pp.1044-1064
  2. ^ Smith, C.C. and Gilbert, M. (2007) Application of discontinuity layout optimization to plane plasticity problems, Proc. Royal Society A, Volume 463, Number 2086, pp.2461-2484.
  3. ^ Lee, Y.S., Smith C.C. and Cheuk C.Y. (2008) Bearing capacity of embedded foundations. In 2nd International Conference on Foundations, ICOF 2008, Dundee, pp.961-972.

External references

  • DLO teaching resources provided by the Geotechnical Engineering Research Group at the University of Sheffield, UK.

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