Skip to main content
SpringerLink
Log in

RETRACTED ARTICLE: Optimization of FRP jacket by fractional‑order pathfinder algorithm to improve the reinforced concrete frames' seismic response

  • Original Paper
  • Published:
Evolving Systems Aims and scope Submit manuscript

This article was retracted on 06 March 2024

This article has been updated

Abstract

In this paper, a new version of the improved multi-objective pathfinder algorithm optimization method is suggested to the reinforced concrete frames’ seismic retrofit using fiber reinforced polymer jacketing. This new algorithm is called The fractional‑order pathfinder algorithm. The optimization problem is determined by numerically effective and precise finite element models capable to consider the ductility and strengthening increment contribution for the FRP jacket. According to the reinforced concrete frame case study, an optimization method intended for maximizing ductility of the frame and minimizing the FRP cost or size is suggested by considering the various FRP jacketing thicknesses for the interior and exterior columns and also for every frame floor. As well as particular attention is given to the anticipated mechanism of collapse in the frame and the method for embedding more objective ability for controlling the mechanism of collapse to the method is defined. Based on the obtained outcomes, the method potential, it gives the complete Pareto front for the multi-objective optimization problem and provides total considerations for the design variables’ impact to the RC structure’s response.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Change history

References

  • Abbood IS, Aldeen Odaa S, Hasan KF, Jasim MA (2021) Properties evaluation of fiber reinforced polymers and their constituent materials used in structures—a review. Mater Today Proc 43:1003–1008

    Article  Google Scholar 

  • Abedini M, Khlaghi EA, Mehrmashhadi J, Mussa MH, Ansari M, Momeni T (2017) Evaluation of concrete structures reinforced with fiber reinforced polymers bars: a review. J Asian Sci Res 7(5):165

    Google Scholar 

  • Alaedini S, Kabir MZ, Hejabi H (2016) Seismic ductility evaluation of shear-deficient RC frames strengthened by externally bonded CFRP sheets. KSCE J Civ Eng 20(5):1925–1935

    Article  Google Scholar 

  • Azar AT, Radwan AG, Vaidyanathan S (2018) Fractional order systems: optimization, control, circuit realizations and applications. Academic Press, New York

    Google Scholar 

  • Azizimehr B, Assareh E, Moltames R (2020) Thermoeconomic analysis and optimization of a solar micro CCHP by using TLBO algorithm for domestic application. Energy Sources Part A Recov Utilization Environ Effects 42(14):1747–1761

    Article  CAS  Google Scholar 

  • Balsamo A, Colombo A, Manfredi G, Negro P, Prota A (2005) Seismic behavior of a full-scale RC frame repaired using CFRP laminates. Eng Struct 27(5):769–780

    Article  ADS  Google Scholar 

  • Braga F, Gigliotti R, Laterza M (2006) Analytical stress–strain relationship for concrete confined by steel stirrups and/or FRP jackets. J Struct Eng 132(9):1402–1416

    Article  Google Scholar 

  • Cai W et al (2019) Optimal bidding and offering strategies of compressed air energy storage: a hybrid robust-stochastic approach. Renew Energy 143:1–8

    Article  ADS  Google Scholar 

  • Chisari C, Bedon C (2016) Optimal design of FRP retrofitting for seismic resistant RC frames. In: 35° Convegno GNGTS “Gruppo nazionale di geofisica della terra solida”. GNGTS, pp 1–6

  • Choi SW, Kim Y, Park HS (2014) Multi-objective seismic retrofit method for using FRP jackets in shear-critical reinforced concrete frames. Compos B Eng 56:207–216

    Article  CAS  Google Scholar 

  • Couceiro M, Ghamisi P (2016) Fractional-order Darwinian PSO. In: Fractional order Darwinian particle swarm optimization. Springer, pp 11–20

  • Cuevas E, Fausto F, González A (2020) The locust swarm optimization algorithm. In: New advancements in swarm algorithms: operators and applications. Springer, pp 139–159

  • D’Amato M, Braga F, Gigliotti R, Kunnath S, Laterza M (2012) A numerical general-purpose confinement model for non-linear analysis of R/C members. Comput Struct 102:64–75

    Article  Google Scholar 

  • Dhiman G, Kumar V (2018) Emperor penguin optimizer: a bio-inspired algorithm for engineering problems. Knowl Based Syst 159:20–50

    Article  Google Scholar 

  • Fava G, Carvelli V, Pisani MA (2016) Remarks on bond of GFRP rebars and concrete. Compos B Eng 93:210–220

    Article  CAS  Google Scholar 

  • Ferdinandy B, Ozogány K, Vicsek T (2017) Collective motion of groups of self-propelled particles following interacting leaders. Phys A 479:467–477

    Article  MathSciNet  Google Scholar 

  • Gattesco N, Amadio C, Bedon C (2015) Experimental and numerical study on the shear behavior of stone masonry walls strengthened with GFRP reinforced mortar coating and steel-cord reinforced repointing. Eng Struct 90:143–157

    Article  Google Scholar 

  • Ghadimi N (2013) A method for placement of distributed generation (DG) units using particle swarm optimization. Int J Phys Sci 8(27):1417–1423

    Google Scholar 

  • Ghiasi M et al (2019) An analytical methodology for reliability assessment and failure analysis in distributed power system. SN Appl Sci 1(1):44

    Article  Google Scholar 

  • Gu X, Angelov P, Rong H-J (2019) Local optimality of self-organising neuro-fuzzy inference systems. Inf Sci 503:351–380

    Article  Google Scholar 

  • Guo Y et al (2020) An optimal configuration for a battery and PEM fuel cell-based hybrid energy system using developed Krill herd optimization algorithm for locomotive application. Energy Rep 6:885–894

    Article  Google Scholar 

  • Guo Z et al (2021) Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics. Int J Imaging Syst Technol 31(4):1954–1969

    Article  Google Scholar 

  • Liu Y, Wang W, Ghadimi N (2017) Electricity load forecasting by an improved forecast engine for building level consumers. Energy 139:18–30

    Article  Google Scholar 

  • Mancusi G, Ascione F, Lamberti M (2014) Pre-buckling behavior of composite beams: a mechanical innovative approach. Compos Struct 117:396–410

    Article  Google Scholar 

  • Meng Q et al (2020) A single-phase transformer-less grid-tied inverter based on switched capacitor for PV application. J Control Autom Electr Syst 31(1):257–270

    Article  Google Scholar 

  • Mir M et al (2020) Application of hybrid forecast engine based intelligent algorithm and feature selection for wind signal prediction. Evol Syst 11(4):559–573

    Article  Google Scholar 

  • Mirjalili S, Mirjalili SM, Hatamlou A (2016) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl 27(2):495–513

    Article  Google Scholar 

  • Mirzapour F et al (2019) A new prediction model of battery and wind-solar output in hybrid power system. J Ambient Intell Humaniz Comput 10.1:77–87

    Article  Google Scholar 

  • Mishra P, Pradhan A, Pandit M (2016) Inter-laminar delamination analyses of spar Wingskin joints made with flat FRP composite laminates. Int J Adhes Adhes 68:19–29

    Article  CAS  Google Scholar 

  • Panigrahi S, Ranjan Das R (2016) Study and analysis of damages in functionally graded adhesively bonded joints of laminated FRP composites: a critical review. Rev Adhes Adhes 4(2):152–165

    Article  CAS  Google Scholar 

  • Pires ES, Machado JT, de Moura Oliveira P, Cunha JB, Mendes L (2010) Particle swarm optimization with fractional-order velocity. Nonlinear Dyn 61(1):295–301

    Article  MathSciNet  Google Scholar 

  • Precup R-E, David R-C, Petriu EM, Preitl S, Paul AS (2011) Gravitational search algorithm-based tuning of fuzzy control systems with a reduced parametric sensitivity. In: Soft computing in industrial applications. Springer, pp 141–150

  • Precup R-E, David R-C, Roman R-C, Szedlak-Stinean A-I, Petriu EM (2021) Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using slime mould algorithm. Int J Syst Sci. https://doi.org/10.1080/00207721.2021.1927236

    Article  Google Scholar 

  • Saeedi M et al (2019) Robust optimization based optimal chiller loading under cooling demand uncertainty. Appl Therm Eng 148:1081–1091

    Article  Google Scholar 

  • Samy M, Barakat S, Ramadan H (2019) A flower pollination optimization algorithm for an off-grid PV-Fuel cell hybrid renewable system. Int J Hydrogen Energy 44(4):2141–2152

    Article  CAS  Google Scholar 

  • Yang X, Bai Y, Luo FJ, Zhao X-L, Ding F (2016) Dynamic and fatigue performances of a large-scale space frame assembled using pultruded GFRP composites. Compos Struct 138:227–236

    Article  Google Scholar 

  • Yapici H, Cetinkaya N (2019) A new meta-heuristic optimizer: pathfinder algorithm. Appl Soft Comput 78:545–568

    Article  Google Scholar 

  • Yu D, Ghadimi N (2019) Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory. IET Renew Power Gener 13(14):2587–2593

    Article  Google Scholar 

  • Zou X, Teng J, De Lorenzis L, Xia S (2007) Optimal performance-based seismic retrofit design of RC frames using FRP confinement. Compos B 38:584–597

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Civil Engineering, Beijing JiaoTong University, Beijing, 100044, China

    Chengliang Wang

  2. Zhonglu Hi-Tech Traffic Testing, Inspection and Certification Co., Ltd., Beijing, 100044, China

    Wenrui Li

  3. Case Western Reserve University, Cleveland, OH, USA

    Dragan Rodriguez

Authors
  1. Chengliang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wenrui Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dragan Rodriguez
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chengliang Wang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12530-024-09578-5"

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, C., Li, W. & Rodriguez, D. RETRACTED ARTICLE: Optimization of FRP jacket by fractional‑order pathfinder algorithm to improve the reinforced concrete frames' seismic response. Evolving Systems 13, 589–601 (2022). https://doi.org/10.1007/s12530-021-09407-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12530-021-09407-z

Keywords

Search

Navigation