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Structural Engineering and Mechanics Volume 81, Number 2, January25 2022 , pages 195-203 DOI: https://doi.org/10.12989/sem.2022.81.2.195 |
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Quantification and location damage detection of plane and space truss using residual force method and teaching-learning based optimization algorithm |
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Osman Shallan and Osman Hamdy
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| Abstract | ||
| This paper presents the quantification and location damage detection of plane and space truss structures in a twophase method to reduce the computations efforts significantly. In the first phase, a proposed damage indicator based on the residual force vector concept is used to get the suspected damaged members. In the second phase, using damage quantification as a variable, a teaching-learning based optimization algorithm (TLBO) is used to obtain the damage quantification value of the suspected members obtained in the first phase. TLBO is a relatively modern algorithm that has proved distinguished in solving optimization problems. For more verification of TLBO effeciency, the classical particle swarm optimization (PSO) is used in the second phase to make a comparison between TLBO and PSO algorithms. As it is clear, the first phase reduces the search space in the second phase, leading to considerable reduction in computations efforts. The method is applied on three examples, including plane and space trusses. Results have proved the capability of the proposed method to precisely detect the quantification and location of damage easily with low computational efforts, and the efficiency of TLBO in comparison to the classical PSO. | ||
| Key Words | ||
| damage detection; plane truss; residual force vector; space truss; teaching-learning optimization algorithm | ||
| Address | ||
| Osman Shallan: Department of Structural Engineering, Zagazig University, Zagazig, Egypt Osman Hamdy: Department of Civil Engineering, Zagazig Higher Institute of Engineering & Technology, Zagazig, Egypt | ||