Advances in optimization of highrise building structures

Aldwaik, Mais; Adeli, Hojjat

doi:10.1007/s00158-014-1148-1

Cited by 109 publications

(65 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Applications of gravitational search algorithms [4], simulated annealing [5] and central force metaheuristic optimization [6] as nature-inspired conceptual frameworks in engineering are presented. Much attention is being paid to vibration control and the health monitoring of buildings and engineering structures [7][8][9][10][11], including bridges [12,13] and high-rise buildings [14][15][16]. A comprehensive review of tuned mass dampers for the vibration control of structures was provided [17].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

et al. 2017

Self Cite

View full text Add to dashboard Cite

Sustainable decision-making in civil engineering, construction and building technology can be supported by fundamental scientific achievements and multiple-criteria decision-making (MCDM) theories. The current paper aims at overviewing the state of the art in terms of published papers related to theoretical methods that are applied to support sustainable evaluation and selection processes in civil engineering. The review is limited solely to papers referred to in the Clarivate Analytic Web of Science core collection database. As the focus is on multiple-criteria decision-making, it aims at reviewing how the papers on MCDM developments and applications have been distributed by period of publishing, by author countries and institutions, and by journals. Detailed analysis of 2015-2017 journal articles from two Web of Science categories (engineering civil and construction building technology) is presented. The articles are grouped by research domains, problems analyzed and the decision-making approaches used. The findings of the current review paper show that MCDM applications have been constantly growing and particularly increased in the last three years, confirming the great potential and prospects of applying MCDM methods for sustainable decision-making in civil engineering, construction and building technology.

show abstract

Section: Introductionmentioning

confidence: 99%

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, it might be much more complicated and difficult. Apart from that, the method can be explored to develop for the spatial description of roof kirigami in the scope of geometry optimization (Adeli and Balasubramanyam, , ; Aldwaik and Adeli, ; Kociecki and Adeli, , ; Siddique and Adeli, ).…”

Section: Discussionmentioning

confidence: 99%

Modeling and Kinematic Path Selection of Retractable Kirigami Roof Structures

Cai

Zhang

Feng

et al. 2018

Computer aided Civil Eng

View full text Add to dashboard Cite

This article proposes a numerical method for the kinematic path modeling of retractable roof structures based on the concept of kirigami. The kinematics of origami structures have been studied by many researchers. However, the singular point in the kinematic path which will crucially affect the overall performance of the structure has not been investigated. In this article, the method to detect the singular point in the kinematic path is first introduced. Then, a prediction‐correction algorithm is developed to simulate the motion along a uniquely determined path. A second‐order program is used to select kinematic paths deviating from a singular point. After that, the proposed method is applied in the kinematic modeling of a kirigami structure to show its accuracy.

show abstract

“…As a kind of common intelligent algorithm, genetic algorithm is based on the natural law of "survival of the fittest" in biological word, and can help decision makers to identify the optimal or near-optimal one from numerous solutions (Aldwaik, Adeli 2014;Senouci, Al-Derham 2008). Its calculation process is generally composed of five steps: select an appropriate coding mode, population initialization, calculate the fitness of each individual, generate next generation population and set termination conditions (Alcaraz, Maroto 2001;Groba et al 2015).…”

Section: Improved Genetic Algorithmmentioning

confidence: 99%

Research on Assembly Sequence Planning and Optimization of Precast Concrete Buildings

Wang

Yuan

Sun

2018

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

Abstract. Due to more complex structure and increasing prefabrication rate of precast concrete buildings, the assembly order between their constituent components is getting more and more attention. In order to solve the assembly sequence planning and optimization (ASPO) problem in precast concrete buildings, Building Information Modelling (BIM) and Improved Genetic Algorithm (IGA) are organically combined to propose a new method called BIM-IGA-based ASPO method. This method uses BIM for parametric modelling, uses IGA to search for an optimal assembly sequence, and then uses BIM again for visual simulation to further test the assembly sequence. Besides, IGA, which is improved in coding mode, crossover operation and mutation operation, is also used to achieve the dynamic adjustment of assembly sequence in construction process. A full-text example is used to explain the detailed operating principle of BIM-IGA-based ASPO method. The results indicate that the method can effectively find an optimal assembly sequence to reduce the assembly difficulty of a precast concrete building.

show abstract

Advances in optimization of highrise building structures

Cited by 109 publications

References 70 publications

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

Modeling and Kinematic Path Selection of Retractable Kirigami Roof Structures

Research on Assembly Sequence Planning and Optimization of Precast Concrete Buildings

Contact Info

Product

Resources

About