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lee123456789
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A cloumn has a compressive strength of 220MPa, but its Euler yeild stress is 350MPa. its compressive strength is less than its euler stress.
what does this mean?
what does this mean?
Last edited:
The compression strength is the downward forces applied resistances.FEAnalyst said:That the column will fail due to compression before it can buckle.
https://dailycivil.com/types-column-failure/lee123456789 said:The compression strength is the downward forces applied resistances.
so it will fail dowards before it will fail sideways basically?
Thanksberkeman said:
Force aligned with or perpendicular to the main axis of the column could be more accurate terms, since we not always have a vertical column that is supporting a load on top of it.lee123456789 said:Thanks
i was getting comfused because both had stress in them so thought it was the same
compressive strength = downward stregth resistance
Euler Stress = sideways to buckling
Compressive strength is the ability of a material to withstand compressive forces without breaking or deforming. It is typically measured in units of pressure, such as pounds per square inch (psi) or megapascals (MPa).
Compressive strength is determined through testing, where a sample of the material is subjected to increasing compressive forces until it fails. The maximum force the material can withstand before breaking is then recorded as its compressive strength.
Euler stress, also known as buckling stress, is the maximum stress that a long, slender column can withstand before it buckles or bends under compressive forces. It is dependent on the material properties and the column's dimensions.
Euler stress can be calculated using the formula σ = (π^2 * E * I) / (L^2), where σ is the Euler stress, E is the modulus of elasticity of the material, I is the moment of inertia of the column, and L is the length of the column.
The compressive strength and Euler stress of columns are affected by various factors, including the material properties, column dimensions, and boundary conditions. Other factors such as temperature, loading rate, and imperfections in the column can also impact these values.