Multi-parametric MINLP optimization study of a composite I beam floor system

Kravanja, Stojan; Žula, Tomaž; Klanšek, Uroš

doi:10.1016/j.engstruct.2016.09.012

Cited by 30 publications

(22 citation statements)

References 19 publications

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“…In the recent past, various methods and algorithms have been applied for the optimization of structures. The MINLP optimization method has frequently been used in structural design [11], [12]. 2 OPTIMIZATION ALGORITHMS Two different approaches for the optimization of timber beams were used.…”

Section: Introductionmentioning

confidence: 99%

Determining Optimal Designs of Timber Beams With Non-Uniform Cross-Section

Jelušič

2018

WIT Transactions on the Built Environment

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The paper presents an optimal design of timber beams with non-uniform cross-section based on multiparametric mixed-integer non-linear programming (MINLP) optimization and Response Surface Optimization (RSO). For this purpose, the optimization model was developed with integrated requirements of Eurocode specifications. In order to get the variation of a given performance with respect to input parameters, the response surface optimization was performed as part of a finite element analysis. Using the deterministic analysis, we have been able to investigate the performance of the design over continuous ranges of the input parameters, using a limited number of simulations. From the response surface, we are able to identify the key parameters really influencing the design. In order to interpret the applicability of the response surface optimization and the recommended optimal design for the timber beam with non-uniform cross-section, the paper presents an example of determining the cheapest possible structure for the given design parameters.

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Section: Introductionmentioning

confidence: 99%

Determining Optimal Designs of Timber Beams With Non-Uniform Cross-Section

Jelušič

2018

WIT Transactions on the Built Environment

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“…In the recent past, various Figure 1: ANFIS architecture for two-rule two-input sugeno model. methods [6], [7] and algorithms have been applied to the optimization of structures [8]- [13]. However in this paper the optimization algorithms are used to obtain the best prediction model for traffic induced vibration.…”

Section: Genetic Algorithm and Particle Swarm Optimizationmentioning

confidence: 99%

A New Approach for the Prediction of Traffic-Induced Ground Vibration Using a Hybrid Optimized Anfis-Based Model

Lubej

Ivanič

2018

WIT Transactions on the Built Environment

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An attempt has been made to evaluate and predict the traffic-induced ground vibration using a hybrid optimized ANFIS-based model. Towards this aim, ground vibrations caused by traffic were monitored on a building located near the road. To investigate the appropriateness of this approach, the prediction by ANFIS was also compared with the most widely used vibration predictors. In this research, a hybrid of adaptive neuro-fuzzy inference system (ANFIS) optimized by particle swarm optimization (PSO) and genetic algorithm (GA) was proposed to predict traffic-produced ground vibration. The performance criterion selected for the comparison between the actual and the predicted data were the sum of squares due to error (SSE), the root mean square error (RMSE), and goodness of fit (R-square, adjusted R-square). It turns out that the hybrid GA-ANFIS prediction model outperforms the commonly used predictors and conventional ANFIS.

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“…A number of problems in the area of structural optimization were solved with the presented MINLP approach: e.g. hydraulic steel gates for dams and hydro-power plants by Kravanja et al [15,16], steel and aluminum trusses by Šilih et al [18], timber truss structures by Šilih et al [19,20], multi-storey steel frame buildings by Klanšek et al [21], single-storey industrial steel buildings by Kravanja and Žula [22] and Kravanja et al [23], composite I-beam structures from concrete and steel by Kravanja and Šilih [24], Klanšek and Kravanja [25,26], Žula et al [27] and Kravanja et al [28] as well as timber-concrete composite floors by Jelušič and Kravanja [29]. A recent research work is also referred in the field of MINLP optimization of project schedules by Klanšek [30] and Cajzek and Klanšek [31].…”

Section: Minmentioning

confidence: 99%

Mixed-integer Non-linear Programming in Civil Engineering

Kravanja¹

2018

Civil Engineering

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The paper discusses the Mixed-Integer Non-linear Programming (MINLP) of problems in civil engineering. The MINLP enables the optimization of continuous parameters simultaneously with discrete alternatives. While continuous parameters are in structural optimization structural costs, masses, loads, stresses, resistances and deflections, as well as the discrete alternatives are in most cases defined as different topologies, standard sizes and materials. The continuous parameters are in the models expressed by continuous variables, whilst the discrete alternatives by discrete (0-1) variables. The MINLP optimization of a structure is usually a comprehensive and highly non-linear calculation process. The MINLP approach requires that a structure is generated as an MINLP superstructure including a number of structure alternatives. One of them is the optimal one. For each optimization problem/structure, an MINLP optimization model of the structure must be developed, where the cost or mass objective function of the structure is subjected to structural analysis and dimensioning equality/inequality constraints. The Modified Outer-Approximation/Equality-Relaxation algorithm and a threephase MINLP strategy are applied. Three numerical examples, i.e. the MINLP optimization of a cantilever beam, composite floor and high-pressure penstock are presented at the end of the paper.

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Multi-parametric MINLP optimization study of a composite I beam floor system

Cited by 30 publications

References 19 publications

Determining Optimal Designs of Timber Beams With Non-Uniform Cross-Section

Determining Optimal Designs of Timber Beams With Non-Uniform Cross-Section

A New Approach for the Prediction of Traffic-Induced Ground Vibration Using a Hybrid Optimized Anfis-Based Model

Mixed-integer Non-linear Programming in Civil Engineering

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