Comparison of using Multi-Class Teaching-Learning Based Optimization (MC-TLBO) algorithm to perform performance-based optimum seismic design (PBOSD) of planar steel frames

Hikmet Tutar

Article Details

Comparison of using Multi-Class Teaching-Learning Based Optimization (MC-TLBO) algorithm to perform performance-based optimum seismic design (PBOSD) of planar steel frames

Authors:

Hikmet Tutar

Publisher:

Mus Alparslan University

Main Topics:

Matematikte Optimizasyon | Makine Mühendisliğinde Optimizasyon Teknikleri

Journal:

Muş Alparslan Üniversitesi Fen Bilimleri Dergisi Vol.13 Issue 1, pp.150-164

Document Type:

Article

Publication Date:

6/2025

Document Language:

Turkish

Document ID (Org No.):

2001351617

pISSN:

2147-7930

Keywords:

Abstract:

 In this study, the performance based seismic design PBSD of steel frames moment transferring is performed by combining optimization PBOSD with Jaya algorithm JA, teaching-learning based optimization TLBO and TLBOs multi-class algorithm MC-TLBO. In PBOSD, it is aimed to obtain steel frames with minimum analysis number and minimum weight under the relative drift interstory ratio and strength constraints, and to set displacement constraints. The optimum design formulation using TLBO, JA, MC-TLBO as optimization methods is written and the performance based optimum seismic design is implemented by considering the results obtained from OpenSees. The validity of the proposed method is tested for two plane frames whose optimum seismic design is made using Conventional Design CD, Ant Colony Optimization Algorithm ACO, Genetic Algorithm and Loaded System Algorithm CSS methods in the literature. The obtained results were compared in terms of criteria such as minimum weight and minimum number of analyses. As a result of this study, the optimum results obtained with TLBO, JA, MC-TLBO were compared with CD, ACO, GA and CSS algorithms and the results were presented. These results determined that MCTLBO produced better designs compared to other algorithms.

 In this study, the performance based seismic design PBSD of steel frames moment transferring is performed by combining optimization PBOSD with Jaya algorithm JA, teaching-learning based optimization TLBO and TLBOs multi-class algorithm MC-TLBO. In PBOSD, it is aimed to obtain steel frames with minimum analysis number and minimum weight under the relative drift interstory ratio and strength constraints, and to set displacement constraints. The optimum design formulation using TLBO, JA, MC-TLBO as optimization methods is written and the performance based optimum seismic design is implemented by considering the results obtained from OpenSees. The validity of the proposed method is tested for two plane frames whose optimum seismic design is made using Conventional Design CD, Ant Colony Optimization Algorithm ACO, Genetic Algorithm and Loaded System Algorithm CSS methods in the literature. The obtained results were compared in terms of criteria such as minimum weight and minimum number of analyses. As a result of this study, the optimum results obtained with TLBO, JA, MC-TLBO were compared with CD, ACO, GA and CSS algorithms and the results were presented. These results determined that MCTLBO produced better designs compared to other algorithms.

 In this study, the performance based seismic design PBSD of steel frames moment transferring is performed by combining optimization PBOSD with Jaya algorithm JA, teaching-learning based optimization TLBO and TLBOs multi-class algorithm MC-TLBO. In PBOSD, it is aimed to obtain steel frames with minimum analysis number and minimum weight under the relative drift interstory ratio and strength constraints, and to set displacement constraints. The optimum design formulation using TLBO, JA, MC-TLBO as optimization methods is written and the performance based optimum seismic design is implemented by considering the results obtained from OpenSees. The validity of the proposed method is tested for two plane frames whose optimum seismic design is made using Conventional Design CD, Ant Colony Optimization Algorithm ACO, Genetic Algorithm and Loaded System Algorithm CSS methods in the literature. The obtained results were compared in terms of criteria such as minimum weight and minimum number of analyses. As a result of this study, the optimum results obtained with TLBO, JA, MC-TLBO were compared with CD, ACO, GA and CSS algorithms and the results were presented. These results determined that MCTLBO produced better designs compared to other algorithms.

 Bu çalışmada Jaya algoritması JA, öğretme-öğrenme esaslı optimizasyon TLBO ve TLBOnun çoklu sınıf algoritması MC-TLBO algoritmaları kullanılarak çelik çerçevelerin moment aktaran performansa dayalı sismik tasarım PBSD optimizasyon ile birleştirilerek PBOSD yapılmıştır. PBOSDda göreli ötelenme katlar arası oranı ve dayanım sınırlayıcıları altında minimum analiz sayısı ve minimum ağırlığa sahip, deplasman sınırlayıcıları saplayan çelik çerçevelerin elde edilmesi amaçlanmaktadır. Optimizasyon yöntemi olarak TLBO, JA, MC-TLBOyu kullanan optimum tasarım formülasyonu yazılmış ve OpenSeesden elde edilen sonuçlar göz önüne alınarak performansa dayalı optimum sismik tasarımın icrası gerçekleştirilmiştir. Öne sürülen yöntemin geçerliliği literatürde Geleneksel Tasarım CD, Karınca Koloni Optimizasyon Algoritması ACO, Genetik Algoritma ve Yüklü Sistem Algoritması CSS yöntemleri kullanılarak optimum sismik tasarımı yapılmış iki adet düzlem çerçeve için JA, TLBO ve MC-TLBO test edilmiştir. Elde edilen sonuçlar minimum ağırlık ve minimum analiz sayısı gibi kriterler açısından kıyaslanmıştır. Bu çalışma sonucunda TLBO, JA, MC-TLBO ile elde edilen optimum sonuçlar CD, ACO, GA ve CSS algoritmaları ile karşılaştırılarak sonuçlar ortaya konulmuştur. Bu sonuçlar MCTLBOnun diğer algoritmalara kıyasla daha iyi tasarımlar üretttiği belirlenmiştir.

Article Details

Comparison of using Multi-Class Teaching-Learning Based Optimization (MC-TLBO) algorithm to perform performance-based optimum seismic design (PBOSD) of planar steel frames

Authors:

Hikmet Tutar

Publisher:

Mus Alparslan University

Main Topics:

Matematikte Optimizasyon | Makine Mühendisliğinde Optimizasyon Teknikleri

Journal:

Muş Alparslan Üniversitesi Fen Bilimleri Dergisi Vol.13 Issue 1, pp.150-164

Document Type:

Article

Publication Date:

6/2025

Document Language:

Turkish

Document ID (Org No.):

2001351617

pISSN:

2147-7930

Static pushover analysis

Performance based design

Steel frames

Optimum seis mic design

TLBO algorithm

JA algorithm

MC-TLBO algorithmStatik itme analizi; Performansa dayalı tasarım; Çelik çerçeveler; Optimum sismik tasarım; TLBO algoritması

JA algoritması

MC-TLBO algoritması;

Issues

Article Details

Authors: Hikmet Tutar

Publisher: Mus Alparslan University

Main Topics: Matematikte Optimizasyon | Makine Mühendisliğinde Optimizasyon Teknikleri

Journal: Muş Alparslan Üniversitesi Fen Bilimleri Dergisi Vol.13 Issue 1, pp.150-164

Document Type: Article

Publication Date: 6/2025

Document Language: Turkish

Document ID (Org No.): 2001351617

pISSN: 2147-7930

Issues

Authors:

Hikmet Tutar

Publisher:

Mus Alparslan University

Main Topics:

Matematikte Optimizasyon | Makine Mühendisliğinde Optimizasyon Teknikleri

Journal:

Muş Alparslan Üniversitesi Fen Bilimleri Dergisi Vol.13 Issue 1, pp.150-164

Document Type:

Article

Publication Date:

6/2025

Document Language:

Turkish

Document ID (Org No.):

2001351617

pISSN:

2147-7930