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1
Content available remote Size and shape design optimization of truss structures using the Jaya algorithm
100%
Grzywiński M.
Computer Assisted Methods in Engineering and Science
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2020
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tom Vol. 27, no. 2-3
177--184
EN
The metaheuristic algorithm is proposed to solve the weight minimization problem of trussstructures, considering the shape and sizing design variables. Design variables are discreteand/or continuous. The design of truss structures is optimized by an efficient optimiza-tion algorithm called Jaya. The main feature of Jaya is that it does not require settingalgorithm-specific parameters. The algorithm has a very simple formulation in which thebasic idea is to approach the best solution and escape from the worst solution [6]. Analysesof structures are performed by a finite element code in MATLAB. The effectiveness of theJaya algorithm is demonstrated using two benchmark examples: planar truss 18-bar andspatial truss 39-bar, and compared with results in references.
2
Content available New optimization algorithms and their application for 2D truss structures
63%
Grzywiński M. , Dede T.
Zeszyty Naukowe Politechniki Częstochowskiej. Budownictwo
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2019
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tom Z. 25 (175)
50-54
EN
In this study, two new algorithms named Rao-1 and Rao-2 are presented for the optimization of 2D truss structures. The main purpose of the optimization algorithms, used in this study, is to minimize the total weight of the truss structure. When carrying out this purpose, the allowable displacement and stress are taken into account as the constraints. The design variables are the cross-sectional areas of the steel truss bar elements. To calculate the structural response, the finite element analysis is coded in MATLAB. The optimal results obtained in this study are compared with those given in the literature in order to demonstrate the efficiency of the proposed algorithms.
PL
Przedstawiono nowe algorytmy o nazwach Rao-1 i Rao-2 do optymalizacji płaskiej kratownicy. Głównym celem problemu optymalizacyjnego zastosowanego w tym badaniu jest minimalizacja całkowitej masy konstrukcji kratownicy. Przy realizacji tego celu dopuszczalne przemieszczenia i naprężenia są uwzględniane jako ograniczenia. Zmienne projektowe to pola przekroju poprzecznego stalowych elementów kratownicy. Aby obliczyć optymalną konstrukcję, zastosowano metodę elementów skończonych zakodowaną w MATLAB-ie. Optymalne wyniki uzyskane w tym badaniu są porównywane z podanymi w literaturze w celu wykazania wydajności proponowanego algorytmu.
3
Content available Weight minimization of spatial trusses with genetic algorithm
63%
Grzywiński M. , Selejdak J.
Quality Production Improvement - QPI
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2019
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tom Vol. 1, Iss. 1
238--243
EN
A genetic algorithm is proposed to solve the weight minimization problem of spatial truss structures considering size and shape design variables. A very recently developed metaheuristic method called JAYA algorithm (JA) is implemented in this study for optimization of truss structures. The main feature of JA is that it does not require setting algorithm specific parameters. The algorithm has a very simple formulation where the basic idea is to approach the best solution and escape from the worst solution. Analyses of structures are performed by a finite element code in MATLAB. The effectiveness of JA algorithm is demonstrated through benchmark spatial truss 39-bar, and compare with results in references.
4
Content available Application of self-adaptive population RAO algorithms to optimization of steel grillage structures
51%
Grzywiński M. , Dede T. , Atmaca B.
Computer Assisted Methods in Engineering and Science
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2023
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tom Vol. 30, no. 4
505--520
EN
The self-adaptive population Rao algorithms (SAP-Rao) are employed in this study to produce the optimal designs for steel grillage structures. The size variables in the optimization problem consist of the cross-sectional area of the discrete W-shapes of these beams. The LRFD-AISC design code was used to optimize the constrained size of this kind of structure. The solved problem’s primary goal is to determine the grillage structure’s minimum weight. As constraints, it is decided to use the maximum stress ratio and the maximum displacement at the inner point of the steel grillage structure. The finite element method (FEM) was employed to compute the moment and shear force of each member, as well as the joint displacement. A computer program for the study and design of grillage structures, as well as the optimization technique for SAP-Rao, was created in MATLAB. The outcomes of this study are compared to earlier efforts on grillage structures. The findings demonstrate that the optimal design of grillage structures can be successfully accomplished using the SAP-Rao method described in this paper.
5
Content available Solving a stochastic time-cost-quality trade-off problemby meta-heuristic optimization algorithms
51%
Mohammadi M. O. , Dede T. , Grzywiński M.
Budownictwo o Zoptymalizowanym Potencjale Energetycznym
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2022
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tom Vol. 11
41--48
EN
Actual time, cost, and quality of execution options for various activities within a considered project cannot be certainly determined prior to construction, there could be three different values of time and cost for each execution option, namely, optimistic value, most likely or normal value, and pessimistic value; and the quality could be described in linguistic terms.The objective of this research is to optimize time, cost, and quality of construction projects under uncertainty utilizing the program evaluation and review technique. In this study, multi-objective functions are used to decrease total project time and total project cost whilemaximizing overall project quality. For satisfying time-cost-quality trade-off optimization, a multi-objective optimization strategy is required. The non-dominating sorting-II conceptand the crowding distance computation mechanism are combined with the teaching learning-based optimization algorithm to optimize time-cost-quality optimization problems. Non-dominating sorting-II teaching learning-based optimization algorithm is coded in MATLAB to optimize the trade-off between time, cost, and quality optimization problems. In the proposed model, the non-dominating sorting-II approach and crowding distance computationmechanism are responsible for handling objectives effectively and efficiently. Teaching learning-based optimization algorithm’s teacher and learner phases ensure that the searched solution space is explored and exploited. The proposed algorithm is applied to a 13-activity example problem, and the results show that it provides satisfactory results.
6
Content available Optimizing the cost of a school building using the Rao algorithm
51%
Aslay S. E. , Dede T. , Grzywiński M.
Budownictwo o Zoptymalizowanym Potencjale Energetycznym
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2024
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tom Vol. 13
45--49
EN
In this study, cost optimization of a 4-storey school building is carried out. For the optimization, ACDOS (Automated Cost and Design Optimization of Structures) program – which is a computing platform created by the authors – is used. The Rao-1 algorithm is the optimization method used. As a result, a cost analysis of the RC building was performed and 12% cost savings were achieved.
7
Content available Optimization of post-tensioning forces in stay-cables of cable-stayed bridges
51%
Atmaca B. , Grzywiński M. , Dede T.
Budownictwo o Zoptymalizowanym Potencjale Energetycznym
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2019
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tom Vol. 8 Nr 2
69--76
EN
Stay-cables are one of the most crucial structural elements of cable-stayed bridges. This structural element is used in the support of the bridge deck, transferring dead and live load exposed to the deck through the pylon and controls the vertical deck and horizontal pylon displacement with the help of post-tensioning forces of the stay-cables. Under the dead load of the structural and non-structural elements of the bridge, the vertical deck and horizontal pylon displacement must be almost zero. To determine the post-tensioning forces of the stay-cables, to ensure the desired displacement of deck and pylon with a trial-and-error procedure, is sometimes impossible. In this paper, we will determine the post-tensioning forces of a cable-stayed bridge’s stay-cable by developing a program that integrates a finite element analysis, and a Jaya algorithm with MATLAB codes. To achieve this aim an existing bridge was selected as an example. A threedimensional (3D) finite element model (FEM) of the selected bridge was created by SAP2000. 3D FEM of the selected bridge was repeatedly analyzed by using the Open Applicable Programming Interface (OAPI) properties of SAP2000. The results of numerical examples are presented and discussed to show efficiency of the optimization process. By minimizing the weight of the steel structure, CO2 emisions are also kept low.
PL
Kable stężające są jednym z najważniejszych elementów konstrukcyjnych mostów podwieszanych. Ten element konstrukcyjny jest wykorzystywany do podparcia płyty pomostu, przenosząc obciążenie stałe i zmienne z płyty na pylon i wpływa na przemieszczenie pionowe płyty i poziome pylonu za pomocą sił naciągających w kablach. Pod obciążeniem stałym i zmiennym elementów konstrukcyjnych mostu przemieszczenie pionowe pomostu i poziome pylonu musi wynosić prawie zero. W celu określenia sił sprężających w kablach, aby zapewnić pożądane przemieszczenie pomostu i pylonu, zastosowano metodę prób i błędów. W artykule określono siły sprężające cięgna mostu wantowego, opracowując program, który integruje analizę metody elementów skończonych (MES) oraz algorytm Jaya zakodowany w MATLAB-ie. Aby osiągnąć ten cel, jako przykład wybrano istniejący most. Trójwymiarowy model (3D) metody elementów skończonych (MES) wybranego mostu został stworzony w programie SAP2000. 3D MES wybranego mostu był wielokrotnie analizowany z użyciem właściwości Open Applicable Programming Interface (OAPI) SAP2000. Wyniki przykładów numerycznych zaprezentowano i omówiono w celu wykazania wydajności procesu optymalizacji. Minimalizując ciężar konstrukcji stalowej, emisje CO2 są również utrzymywane na niskim poziomie.
8
Content available Investigating multi-objective time, cost, and risk problems using the Grey Wolf Optimization algorithm
51%
Yilmaz M. , Dede T. , Grzywiński M.
Budownictwo o Zoptymalizowanym Potencjale Energetycznym
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2023
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tom Vol. 12
79--86
EN
Safety plays a crucial role in construction projects. Safety risks encompass potential hazards such as work accidents, injuries, and security. Consequently, it is important to effectively manage these risks with equal emphasis on time and cost considerations during the project planning phase. Within the scope of this research, the grid and archive-based Grey Wolf Optimizer (GWO) algorithm was employed to investigate multi-objective time-cost-risk problems. By employing the GWO, multiple Pareto solutions were provided to the decisionmaker, facilitating improved decision-making. It was determined that the GWO algorithm yields better results in time-cost-risk problems compared to the Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms.
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