Constructal Design Associated to Genetic Algorithm of Asymmetric V-Shaped Pathways

Estrada, Emanuel; Fagundes, T. M.; Isoldi, Liércio André; Santos, Elizaldo Domingues dos; Xie, Gongnan; Rocha, Luíz Alberto Oliveira

doi:10.1115/1.4029868

Cited by 25 publications

(3 citation statements)

References 54 publications

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“…For the optimization, a binary, single-objective, elitist genetic algorithm (GA) was used, similar to previous work in the literature [28,29]. The algorithm creates a fixed number ( population) of geometries, which are generated randomly, called the first generation (set of individuals).…”

Section: Numerical Proceduresmentioning

confidence: 99%

How the thermal environment shapes the structure of termite mounds

2020

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A computational model has been developed to predict the role of environment in the forms and functions of termite mounds. The proposed model considers the most relevant forces involved in the heat transfer process of termite mounds, while also reflecting their gas-exchange function. The method adopts a system configuration procedure to determine thermally optimized mound structures. The model successfully predicts the main architectural characteristics of typical Macrotermes michaelseni mounds for the environmental conditions they live in. The results indicate that the mound superstructure and internal condition strongly depend on the combined effect of environmental forces. It is noted that mounds being exposed to higher solar irradiances develop intricate lateral channels, inside, and taller and more pronounced spire tilt towards the Sun, outside. It is also found that the mounds' spire tilt angle depends on the geographical location, following the local average solar zenith angle for strong irradiances. Although wind does not influence the overall over-ground mound shape, it significantly affects the mound internal condition. The results of this study resonate with what is seen in nature. The proposed approach provides a broader view of the factors that are effective in the form and function of a naturally made structure.

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Section: Numerical Proceduresmentioning

confidence: 99%

How the thermal environment shapes the structure of termite mounds

2020

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“…On the heat generating area problem in particular, analytical developments for simple I-shaped conductive strip morphologies have been obtained [54,55,56,57,58]. Besides I-shaped studies, various configurations have been analysed on the variation of morphologies of the conductive strip (+, H, X, Y, V, Fork shapes) [59,60,61,62,63,64,65] with thermal contact resistance (I,T shapes) [66,67], considering size effect on conductivity of the conductive strip and considering nonuniform heat generation in the area [68,69,70,71,72]. Some methods to obtain the shape of the conductive strip have also been investigated [73,74,75,76].…”

Section: Introductionmentioning

confidence: 99%

On the entropy production of the elemental construct of the constructal designed plate generating heat

Ribeiro

Queiros-Condé

2019

International Journal of Thermal Sciences

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In this paper, the elemental construct of an I-shaped fin cooling a heat generating volume is studied through the entropy production perspective. Using the constructal design method framework with entropy production minimization as an objective leads to different optimal shape ratio, different from the ones obtained using the excess of temperature. Moreover, the optimal shape ratio evolution is not necessary the same for local entropy production minimization (excess of entropy production) and global entropy production (entropy produced in the whole area). Finally, an analysis on a possible dimensionless number is introduced for the study of constructal plates.

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“…Firstly, Estrada et al [16] presented an optimization for the geometry of asymmetric V-shaped inserts for minimizing the peak temperature of a hot square body through the CL and GA. Their work resulted in some optimal shapes concerning the DOF. Avendaño et al [17] employed the GA, CL, and the evolutionary theory and proposed two approaches to cool a hot medium.…”

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confidence: 99%

Assessment of Different Optimization Algorithms for a Thermal Conduction Problem

Hajmohammadi¹,

Najafiyan²,

Lorenzini³

2023

Fluid Dynamics &Amp; Materials Processing

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In this study, three computational approaches for the optimization of a thermal conduction problem are critically compared. These include a Direct Method (DM), a Genetic Algorithm (GA), and a Pattern Search (PS) technique. The optimization aims to minimize the maximum temperature of a hot medium (a medium with uniform heat generation) using a constant amount of high conductivity materials (playing the role of fixed factor constraining the considered problem). The principal goal of this paper is to determine the most efficient and fastest option among the considered ones. It is shown that the examined three methods approximately lead to the same result in terms of maximum temperature. However, when the number of optimization variables is low, the DM is the fastest one. An increment in the complexity of the design and the number of degrees of freedom (DOF) can make the DM impractical. Results also show that the PS algorithm becomes faster than the GA as the number of variables for the optimization rises.

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Constructal Design Associated to Genetic Algorithm of Asymmetric V-Shaped Pathways

Cited by 25 publications

References 54 publications

How the thermal environment shapes the structure of termite mounds

How the thermal environment shapes the structure of termite mounds

On the entropy production of the elemental construct of the constructal designed plate generating heat

Assessment of Different Optimization Algorithms for a Thermal Conduction Problem

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