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Which of the following primary structure is best for computational purposes?
  • a)
    symmetric
  • b)
    non-symmetric
  • c)
    anti-symmetric
  • d)
    depends upon loads applied
Correct answer is option 'A'. Can you explain this answer?
Verified Answer
Which of the following primary structure is best for computational pur...
Answer: a
Explanation: It is easier to compute solutions for flexibility coefficient matrix in that case.
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Which of the following primary structure is best for computational pur...
Primary Structure for Computational Purposes

Introduction:
For computational purposes in civil engineering, the primary structure refers to the load-bearing elements of a building or structure. The primary structure is responsible for transferring loads to the foundation and ensuring the stability and safety of the structure. When it comes to computational analysis, certain characteristics of the primary structure are preferred to ensure accurate and efficient calculations.

Importance of Symmetry:
Symmetry is an important characteristic in structural analysis due to its impact on computational efficiency and accuracy. Symmetry refers to a balanced arrangement of elements or parts on either side of a central line or plane. In the context of primary structures, symmetry can exist in various forms such as planar symmetry, axial symmetry, or translational symmetry.

Benefits of Symmetric Primary Structure:
A symmetric primary structure offers several advantages for computational purposes:

1. Reduced Computational Effort: Symmetry allows for simplification of the analysis process. When a structure is symmetric, only a portion of the structure needs to be modeled and analyzed. The results obtained from analyzing the smaller portion can be easily extended to the entire structure by applying symmetry conditions. This significantly reduces the computational effort required for analysis.

2. Improved Accuracy: Symmetric structures exhibit predictable behavior, making it easier to accurately predict their response to loads. By analyzing a smaller portion of the structure and applying symmetry conditions, the results obtained are generally more accurate as compared to analyzing the entire structure. This is because symmetry eliminates potential errors caused by modeling the entire structure, leading to more reliable computational results.

3. Ease of Modeling: Symmetric structures are easier to model and analyze as compared to non-symmetric structures. The symmetry conditions can be easily applied, simplifying the analysis process. This allows for the use of specialized computational tools and software that are specifically designed to handle symmetric structures efficiently.

4. Time and Cost Savings: By taking advantage of the symmetrical characteristics of a primary structure, engineers can save significant time and cost in the computational analysis phase. The reduced computational effort and improved accuracy lead to faster analysis, allowing for quicker decision-making and optimization of the design.

Conclusion:
In conclusion, a symmetric primary structure is the best choice for computational purposes in civil engineering. It offers advantages such as reduced computational effort, improved accuracy, ease of modeling, and time and cost savings. By leveraging symmetry, engineers can efficiently analyze and design primary structures, ensuring their safety and stability.
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Which of the following primary structure is best for computational purposes?a)symmetricb)non-symmetricc)anti-symmetricd)depends upon loads appliedCorrect answer is option 'A'. Can you explain this answer?
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