Kazemzadeh, Saeid

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Name Variants
Azad, S. Kazemzadeh
Kazemzadeh,Saeid
S., Kazemzadeh
Azad S.
S.,Kazemzadeh
K., Saeid
Saeid Kazemzadeh
Kazemzadeh,S.
Kazemzadeh, Saeid
Saeid, Kazemzadeh
Kazemzadeh Azad S.
K.,Saeid
Job Title
Doçent Doktor
Email Address
saeid.azad@atilim.edu.tr
ORCID ID
0000-0001-9309-607X
Scopus Author ID
57193753354
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
GDU-3849-2022
Scholarly Output

2

Articles

2

Citation Count

23

Supervised Theses

0

Filters

2018 - 20202
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Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Citation Count: 20
    Simultaneous size and geometry optimization of steel trusses under dynamic excitations
    (Springer, 2018) Kazemzadeh, Saeid; Bybordiani, Milad; Kazemzadeh Azad, Sina; Jawad, Farqad K. J.; Civil Engineering
    During the past decades, the main focus of the research in steel truss optimization has been tailored towards optimal design under static loading conditions and limited work has been devoted to investigating the optimum structural design considering dynamic excitations. This study addresses the simultaneous size and geometry optimization problem of steel truss structures subjected to dynamic excitations. Using the well-known big bang-big crunch algorithm, the minimum-weight design of steel trusses is conducted under both periodic and non-periodic excitations. In the case of periodic excitations, in order to examine the effect of the exciting period of the dynamic load on the final results, the design instances are optimized under different exciting periods and the obtained results are compared. It is observed that by increasing the excitation period of the considered sinusoidal loading as well as the finite rise time of the non-periodic step force, the optimization results approach the minimum design weight obtained under the static loading counterpart. However, in the case of the studied rectangular periodic excitation, the results obtained do not approach the optimum design associated with the static loading case even for higher values of the exciting period.
  • Thumbnail Image
    Article
    Citation Count: 3
    Cost efficient design of mechanically stabilized earth walls using adaptive dimensional search algorithm
    (Turkish Chamber of Civil Engineers, 2020) Kazemzadeh, Saeid; Akiş,E.; Civil Engineering
    Mechanically stabilized earth walls are among the most commonly used soil-retaining structural systems in the construction industry. This study addresses the optimum design problem of mechanically stabilized earth walls using a recently developed metaheuristic optimization algorithm, namely adaptive dimensional search. For a cost efficient design, different types of steel reinforcement as well as reinforced backfill soil are treated as discrete design variables. The performance of the adaptive dimensional search algorithm is investigated through cost optimization instances of mechanically stabilized earth walls under realistic design criteria specified by standard design codes. The numerical results demonstrate the efficiency and robustness of the adaptive dimensional search algorithm in minimum cost design of mechanically stabilized earth walls and further highlight the usefulness of design optimization in engineering practice. © 2020 Turkish Chamber of Civil Engineers. All rights reserved.