Optimum geometrical pattern and design of real-size diagrid structures using accelerated fuzzy-genetic algorithm with bilinear membership function

Ashtari, Payam; Karami, Roghaye; Farahmand‐Tabar, Salar

doi:10.1016/j.asoc.2021.107646

Cited by 43 publications

(3 citation statements)

References 60 publications

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“…However, these studies are based on simplified analytical models that approximate the behavior of a complete diagrid building model. Also, another concern with GA-based algorithms are the disadvantages related to local minimums and recently Ashtari et al (2021) combined fuzzy-logic rules to the GA to improve performance and avoid local minimums in the topology optimization of diagrid structures subjected to wind loads. An alternative method that guarantees global convergence and can be easily implemented with realistic finite element models is based on a Neural Dynamic model (Adeli and Park 1995) and has been used in structural other design optimization problems (Adeli and Park 1995;Sirca Jr and Adeli 2005;Aldwaik and Adeli 2016;Gutierrez Soto and Adeli 2017;Javadinasab Hormozabad and Gutierrez Soto 2021;Palacio-Betancur and Gutierrez Soto 2020).…”

Section: Introductionmentioning

confidence: 99%

Structural Properties of Tall Diagrid Buildings Using a Neural Dynamic Model for Design Optimization

Palacio-Betancur

Soto

2022

J. Struct. Eng.

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The development of structural systems is a constantly evolving process to guarantee safety and serviceability against natural hazards. As a result, the diagrid structural systems became a current trend in tubular mid-and high-rise building structures for their significant lateral stiffness and aesthetic potential. Their unique geometric configuration allows the efficient distribution of internal forces that lead to optimal structural designs. However, existing design codes and provisions do not provide specific guidelines for their design under earthquake and wind loading. For this reason, this paper studies the properties of steel diagrid structures, including optimal diagrid angle, diagrid density, and fundamental period as a function of geometric parameters. This study uses a large set of structural models with aspect ratios (𝐻/𝐵) from 1 to 4, diagrid angles (𝜃) between 45°and 90°, and diagrid densities (𝜌 𝑑 ) between 3 and 12. The structural design of each model is obtained using a soft-computing optimization algorithm, denominated hybrid Counter Propagation Neural Dynamic model (CPND), that determines member sizes from a database of commercially available W-shapes following ASCE7-16 standard and AISC-15 steel construction manual. This investigation confirms that the optimal diagrid angle increases with height, highlights the importance of diagrid density 1Palacio-Betancur, August 4, 2022 in structural design, and demonstrates the effect of the diagrid angle on the fundamental period.A new set of equations are proposed for: a) the optimal diagrid angle as a function of height and b) fundamental period of diagrid structures as a function of angle and height. The proposed equations allow the estimation of structural properties for the design of steel diagrid structures.

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Section: Introductionmentioning

confidence: 99%

Structural Properties of Tall Diagrid Buildings Using a Neural Dynamic Model for Design Optimization

Palacio-Betancur

Soto

2022

J. Struct. Eng.

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“…Hence, there are no rules or guidelines that can be considered to select a suitable membership function generation method [2]. Consequently, several methods such as heuristic methods [3,4], probabilistic technique [5], statistical data based technique [6], classification approaches [7], artificial neural network-based methods [8], and computer-aided design [9] have been proposed to construct the membership function, suitably. Thereby, there is a lack of consensus on the single best method to apply for generating the membership function.…”

Section: Introductionmentioning

confidence: 99%

A possibilistic programming approach for biomass supply chain network design under hesitant fuzzy membership function estimation

2021

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The recognition of membership function by knowledge acquisition from experts is an important factor for many fuzzy mathematical programming models. Meanwhile, hesitant fuzzy set theory as a known and popular modern fuzzy set by assigning some discrete membership degrees under a set could appropriately deal with imprecise information in decision-making problems. Thus, the hesitant fuzzy membership function (HFMF) estimation could help users of the mathematical programming approaches to provide a powerful solution in continuous space problems. Therefore, this study proposes a possibilistic programming approach based on Bezier curve mechanism for estimating the HFMF. In the process of possibilistic programming approach, an optimization model is presented to tune the primary parameters of Bezier curve by the goal of minimizing the sum of the squared errors (SSE) between the empirical data and fitted HFMF. After that, the efficiency and applicability of the proposed approach is checked by proposing a novel mathematical model for biomass supply chain network design problem. Finally, a computational experiment and validation procedure about the biomass supply chain network design is provided to peruse the verification and validation of the proposed approaches.

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“…The optimum weight and geometrical pattern of the models is obtained and a formulation is extracted from the results regarding the optimum angle of a diagrid system. Considering GA, results show the merit of the accelerated fuzzy-genetic algorithm regarding the convergence and the avoidance of being trapped in local minimum [4]. QingxuanShi, Experimental investigation on the seismic performance of concrete-filled steel tubular joints in diagrid structures: Concrete-filled steel tubular (CFST) joints are widely used as a common joint form in diagrid structure systems.…”

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confidence: 99%

Diagrid Based Multistorey Building Design and Durability Forecasting

Soni¹,

Rajeev²

2022

IJRASET

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The taller and higher structures results in the effects of lateral loading, lateral loads dominates when the height of building increases, lateral loads such as earthquake, wind causes the building larger displacement, to avoid larger displacement in high rise buildings lateral load resisting systems are deployed. Apart from other structural system, the diagrid and hexagrid system are adopted to improve structural performance of tall buildings. The various types of structural system in tall buildings have become obsolete and the new structural skeletons such as hexagrid and diagrid are being used

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Optimum geometrical pattern and design of real-size diagrid structures using accelerated fuzzy-genetic algorithm with bilinear membership function

Cited by 43 publications

References 60 publications

Structural Properties of Tall Diagrid Buildings Using a Neural Dynamic Model for Design Optimization

Structural Properties of Tall Diagrid Buildings Using a Neural Dynamic Model for Design Optimization

A possibilistic programming approach for biomass supply chain network design under hesitant fuzzy membership function estimation

Diagrid Based Multistorey Building Design and Durability Forecasting

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