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Case Study #3: SAM-LEAP5's Innovative Load Optimisation Process

How quickly can you define a set of load combinations that will give the live load bending moment envelope for one of the box beams shown in the finite element model below?

Using SAM-LEAP5's innovative optimisation process together with the composite results facility (see Case Study #1) you can do the optimisation in less than a minute.

The steps of the process are simple and intuitive giving the user maximum control with minimum input. The process can be summarised as follows:

  1. Define a composite member of the FE box.
  2. Create bending influence surfaces for each point along the composite member axis.
  3. Set/change the optimisation parameters if necessary (generally set once for each project).
  4. Create the required load patterns and envelopes including all necessary load and lane factors. A single mouse click invokes the process to achieve this.

There are many features included in the new optimisation module, some of which are:

  • All possible live load combinations are considered including Pedestrian loads and Accidental wheel cases.
  • Assessment load combinations include checks for all possible vehicle sets for a given assessment rating, as defined in appendix D or table 4 of BD 21/01. This also includes single wheel/axle conditions.
  • Any abnormal vehicle can be defined and included in the optimisation process
  • Enhanced Knife Edge load positioning ensures maximum effect for certain design conditions.
  • The lateral position of assessment lane loads can vary along the span. This ensures maximum effect.
  • The ability to define vehicle load convoys ensures the correct axle orientation for curved carriageways.

Of course the main benefit of using the process is the massive time savings achieved over using more traditional or non-integrated optimisation programs.

If you would like to see exactly how this time saving can benefit your organisation please contact us and we can arrange a short demonstration at your offices.

 

 

 

 


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