Optimum Design of Pile Foundation by Automatic Grouping Genetic Algorithms

Liu, Xiaofeng; Cheng, Gengdong; Wang, Bo; Shao, Lin

doi:10.5402/2012/678329

Cited by 22 publications

(14 citation statements)

References 24 publications

(43 reference statements)

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“…The proposed methodology achieved the optimization of pile size, layout and grouping. Liu et al [75] modeled the optimization of load-bearing capacity of composite foundation using GA. The regression analysis showed that the chosen model had good predicting accuracy and stability.…”

Section: Geotechnical Engineering Applicationsmentioning

confidence: 99%

Applications of Soft Computing in Civil Engineering: A Review

Chandwani¹,

Agrawal²,

Nagar³

2013

IJCA

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The field of engineering is a creative one. The problems encountered in this field are generally unstructured and imprecise influenced by intuitions and past experiences of a designer. The conventional methods of computing relying on analytical or empirical relations become time consuming and labor intensive when posed with real life problems. To study, model and analyze such problems, approximate computer based Soft Computing techniques inspired by the reasoning, intuition, consciousness and wisdom possessed by a human beings are employed. In contrast to conventional computing techniques which rely on exact solutions, soft computing aims at exploiting given tolerance of imprecision, the trivial and uncertain nature of the problem to yield an approximate solution to a problem in quick time. Soft Computing being a multi-disciplinary field uses a variety of statistical, probabilistic and optimization tools which complement each other to produce its three main branches viz., Neural Networks, Genetic Algorithms and Fuzzy Logic. The review paper presents the applications of two major Soft Computing techniques viz., Artificial Neural Networks and Genetic Algorithms in the field of Civil Engineering, which to some extent has replaced the time consuming conventional techniques of computing with intelligent and time saving computing tools.

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Section: Geotechnical Engineering Applicationsmentioning

confidence: 99%

Applications of Soft Computing in Civil Engineering: A Review

Chandwani¹,

Agrawal²,

Nagar³

2013

IJCA

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“…Apart from satisfying the requirements such as structural safety and practical applicability, the high-rise building design shall also guarantee the reasonable structural system force and material amount as small as possible [Moghaddam, Hajirasouliha and Doostan (2005); Yamashita, Kobayashi, Nishiwaki et al (2007)]. Design schemes obtained by the current design method "tentative calculation-verification-modification" may not be the best (or better) one among the schemes satisfying the specification requirements, hence a lot of human re-sources and design time will be cost [Kaveh and Sabzi (2011); Liu, Cheng, Wang et al (2012); Bosco, Marino and Rossi (2015)]. Optimal building structure design is an essential development of structural de-sign theory, its thinking connotation is not only to pursue the minimum volume but also to reach the reasonable optimal allocation of resources [Deterding (2015); Li, Yang, Ciringh et al (2013)].…”

Section: Introductionmentioning

confidence: 99%

Optimal Building Frame Column Design Based on the Genetic Algorithm

Shen¹,

Gao²

2019

Computers, Materials &Amp; Continua

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Building structure is like the skeleton of the building, it bears the effects of various forces and forms a supporting system, which is the material basis on which the building depends. Hence building structure design is a vital part in architecture design, architects often explore novel applications of their technologies for building structure innovation. However, such searches relied on experiences, expertise or gut feeling. In this paper, a new design method for the optimal building frame column design based on the genetic algorithm is proposed. First of all, in order to construct the optimal model of the building frame column, building units are divided into three categories in general: building bottom, main building and building roof. Secondly, the genetic algorithm is introduced to optimize the building frame column. In the meantime, a PGA-Skeleton based concurrent genetic algorithm design plan is proposed to improve the optimization efficiency of the genetic algorithm. Finally, effectiveness of the mentioned algorithm is verified through the simulation experiment.

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“…Liu vd. [6] Çin mevzuatına uygun olarak kazık çapı, boyu ve sayısını genetik algoritma tabanlı bir yöntem kullanarak incelemişlerdir, Bengtlars vd. [7] tarafından genetik algoritma ve doğrudan arama yöntemleri kullanılarak kazıkların koordinatları, eğimi ve sayısı optimize edilmiştir.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Düşey Yük Etkisi Altındaki Kazık Gruplarının Bozkurt Optimizasyon Algoritması ile Optimizasyonu

Temür¹,

Öser²

2018

Journal of Polytechnic

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Optimum Design of Pile Foundation by Automatic Grouping Genetic Algorithms

Cited by 22 publications

References 24 publications

Applications of Soft Computing in Civil Engineering: A Review

Applications of Soft Computing in Civil Engineering: A Review

Optimal Building Frame Column Design Based on the Genetic Algorithm

Düşey Yük Etkisi Altındaki Kazık Gruplarının Bozkurt Optimizasyon Algoritması ile Optimizasyonu

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