MAxwell reciprocal theorem and symmetric stiffness matrix

AI Thread Summary
The Maxwell reciprocal theorem applies to elastic materials and structures experiencing small displacements, leading to a symmetric stiffness matrix where k12 equals k21. Despite this, observations indicate that the assembled stiffness matrix remains symmetric even in geometric non-linear problems. This raises questions about the conditions under which symmetry holds in non-linear behavior. The discussion highlights the use of beam elements, specifically a cantilever beam with an end moment, in the stiffness matrix. The inquiry seeks clarification on how symmetry is maintained in non-linear scenarios, inviting examples for better understanding.
svishal03
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As per Maxwell reciprocal theorem, it is valid only for elastic materials and structures indergoing small displacements.That is k12 = k21, kij = kji hence stiffness matrix is symmetric.

Howbver, I just have been going through MY OWN written programs for geometric non linear problems and I observe that stiffness matrix (assembled stiffness matrix) is well symmetric.

How can stiffness matrix be symmmetric for non linear behaviour of structures?
 
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Perhaps if you posted an example?

What elements do you have in your matrix?

kij is just a constant and therefore linear.
 
I have beam elements in my matrix. It is a cantilever beema with end moment.
 
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