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A comparative study on computational methods for determining strut and tie model
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Can Albayrak 28.04.2025.pdf
Date
2025-4-08
Author
Albayrak, Can
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The Strut-and-Tie Model is used in the shear design of deep and short reinforced concrete members where traditional design methods are not applicable. A Strut and Tie Model is a truss analogy representing a reinforced concrete member's internal force flow. This method requires the engineer to have foresight into the internal flow of forces. Over time, many optimization methods have been suggested to determine the internal flow of forces within a reinforced concrete member. The Evolutionary Structural Optimization method aims to find the optimum material distribution by gradually and systematically eliminating relatively inadequate elements from the reinforced concrete member for a predefined set of external loads and boundary conditions. This method involves modeling the reinforced concrete member with a mesh of finite elements. In this study, the Evolutionary Structural Optimization method is utilized to find the optimum finite element layout of several examples– which can show the internal force flow within a reinforced concrete member. Three different analytical elements are used to define each member example: truss elements, membrane elements, and made-up brick elements comprising six truss elements. The resulting optimized element layout of the example models using three analytical elements is examined. The performance of the three analytical elements is compared in terms of their results, as well as their robustness, effectiveness, and feasibility. Overall, the brick element is observed to give the most consistent outcomes based on the determined criteria.
Subject Keywords
Strut-and-Tie Model
,
Internal Force Flow
,
Evolutionary Structural Optimization
,
Analytical Elements
URI
https://hdl.handle.net/11511/114166
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Graduate School of Natural and Applied Sciences, Thesis
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C. Albayrak, “A comparative study on computational methods for determining strut and tie model,” M.S. - Master of Science, Middle East Technical University, 2025.