MD method

In: Critical plane method


The MD concept searches for maximum of the whole damage parameter. Any of the search algorithms:

* Bannantine-Socie concept

* globe analogy concept

* random concept

implemented in PragTic can be used. The method is much more straightforward in contrast to MSSR concept, where the maximization has two levels. The only target here is the maximum damage.

There are following methods, that utilize the MD concept, implemented in PragTic:

* Carpinteri & Spagnoli method with SWT and MD modifications

* Dang Van method

* Findley method

* Findley method v. Socie

* McDiarmid method v. 91 the user can switch to the MSSR method in its setup

* Ninic method with SWT modification

* Papuga PCr method

* Robert method

* Socie method

* Wang & Brown method the user can switch to the MSSR method in its setup

The algorithm first searches over the planes defined by the parameter "Number of scanned planes". If the parameter "Optimize" is on, the optimization starts from the plane on which the current maximum was reached. 

Note: This way of implementation could potentially produce erroneous (non-conservative) results for too small number of scanned planes, in which the highest maximum will not be found. I expect that the damage function (damage parameter over the examined planes) should have very abrupt changes in its value for small changes of plane direction so that an error like this could be produced. A further research in this point is necessary. I welcome any your remarks to this point.


More:

plane search algorithms

Optimize option


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