@article{article_339533, title={Optimum Design of Semi Rigid Steel Frames via Stokhastic SearchTechniques}, journal={Celal Bayar University Journal of Science}, volume={13}, pages={785–795}, year={2017}, DOI={10.18466/cbayarfbe.339533}, author={Şeker, Soner and Doğan, Erkan and Kozanoğlu, Celal}, keywords={Hunting search method,optimum dimensioning,particle swarm method,steel frames,semi-rigid column-beam junctions}, abstract={<p align="justify"> <span style="font-family:’Times New Roman’, serif;font-size:9pt;"> <font color="#000000">In this study; steel
plane frames with column-to-beam connection points in different types are
designed optimally with a developed computer program. In the static analysis of
steel structures, column-beam joint points are considered as pinned or
completely rigid connections. But in reality, behavior at connections are
neither a hinge nor a rigid one. The actual behavior of junctions is between
these two behaviors, and this behavior is called semi-rigid joint behavior.
Design of frames are determined by taking into account the AISC-LRFD
specifications. For optimum design of steel frames (rigid and semi-rigid); the
best results obtained by using algorithms developed in the particle swarm and
hunting search technique, were compared. Particle swarm optimization method, is
a search technique that imitates the behavior of animal swarms, just as birds
etc., looking for food. The hunting technique is a search technique that has
been developed as a result of monitoring the strategies developed by hunter
animals such as lions and wolves to catch their prey and imitating these
behaviors. It was tried to reach the design which has the minimum wieght of the
frames with the optimizations techniques used. </font> </span> <br /> </p>}, number={3}, publisher={Manisa Celal Bayar University}