Form-finding and analysis of hyperelastic tensegrity structures using unconstrained nonlinear programming

Arcaro, Vinicius F.; Adeli, Hojjat

doi:10.1016/j.engstruct.2019.04.060

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…Model [P] is challenging to solve because it has complex nonlinear constraints () and () and cannot be solved by off‐the‐shelf solvers (Adeli & Karim, 2014; García‐Nieves, Ponz‐Tienda, Salcedo‐Bernal, & Pellicer, 2018; Jiang & Adeli, 2003; Tang, Liu, Wang, Sun, & Kandil, 2018; Wang, Yan, & Qu, 2019; Xie, Lei, & Ouyang, 2018). One approach is to apply nonlinear optimization methods (Arcaro & Adeli, 2019; Bie, Xiong, Yan, & Qu, 2020; Z. Chen & Liu, 2019; Pu et al., 2019; Qu, Yu, Zhou, Lin, & Wang, 2020; Zavadskas, Antucheviciene, Turskis, & Adeli, 2016; Zavadskas, Antucheviciene, Vilutiene, & Adeli, 2018; Zhang et al., 2019; Zhou, Yu, & Qu, 2020), such as Newton method or quasi‐Newton method (Branam, Arcaro, & Adeli, 2019), but they do not guarantee global optimality. Another approach is to use metaheuristics, such as neural networks (Adeli & Karim, 1997; Rokibul Alam, Siddique, & Adeli, 2019), spider monkey optimization (Akhand, Ayon, Shahriyar, Siddique, & Adeli, 2020), and particle swarm optimization (Hossain, Akhand, Shuvo, Siddique, & Adeli, 2019), but these methods do not even guarantee local optimality.…”

Section: Solution Methodsmentioning

confidence: 99%

Drone scheduling for construction site surveillance

Sutrisna

2020

Computer aided Civil Eng

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Using drones to monitor construction site is a flexible approach with low manpower costs. We study a drone scheduling problem in which a drone flies on a fixed path over a construction site. The flying speed of the drone is optimized to ensure that the drone spends the most time monitoring areas of the construction site that deserve the most attention while ensuring that the drone completes the route within a certain time and without depleting its battery. We propose a nonlinear optimization model for the problem and develop a dynamic programming algorithm to solve the model. A case study is carried out to demonstrate the applicability of the proposed drone scheduling model.

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Section: Solution Methodsmentioning

confidence: 99%

Drone scheduling for construction site surveillance

Sutrisna

2020

Computer aided Civil Eng

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“…Optimization design has been introduced into the field of civil engineering for several decades, to improve the safety, as well as the economics and serviceability of structures, which is especially efficient concerning uncertain loadings. [12][13][14][15][16][17] Park and Kwon 18 and Park et al 19 conducted optimization for high-rise buildings subjected to seismic loads, in which the dynamic lateral force was simplified and represented, for convenience, by an equivalent static one. More recently, Xu et al 20,21 proposed procedures for multi-objective optimization of high-rise buildings for linear and nonlinear structures, in which the stochastic dynamic excitations were considered as inputs.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of distribution patterns of link beams in a double‐column tall pier bent subjected to earthquake excitations

Chen

Spencer

et al. 2022

Earthq Engng Struct Dyn

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Seismic performance of double‐column tall pier bents has to date scarcely been investigated. The deployment of link beams between columns, including numbers and locations, is generally designed according to the experience of engineers, without any sophisticated procedure. This paper proposes a response surface‐based optimization procedure that searches for optimal configurations of link beams of double‐column tall pier bents, considering multiple performance objectives. The response surface model is well‐developed by considering training samples from uniform design methods, boundary conditions, and iteration procedures. With a typical double‐column tall pier bent in southwest China as an example, the correctness of the proposed procedure is validated by comparing seismic responses with those from conventional optimization methods. Furthermore, this response surface‐based procedure possesses a substantially higher time efficiency than is the case with conventional methods, due to less nonlinear time history analyses as required. The Pareto optimal front is employed to trade off competing objectives in this example and to provide potential optimal design options for engineers.

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“…The previous research in the field of tensegrity structures concerned both the classical [25,26] and the controllable [27] structures, and was aimed at development of form-finding methods, control algorithms and applications limited mainly to civil engineering. In particular, the procedure for form-finding of tensegrity structures was studied in [14], while another approach extended to hyperelastic tensegrity structures based on strut finite elements and unconstrained nonlinear programming was shown in [28]. The problems of tensegrity forms control were also considered by researchers in the case of simple planar [29], spatial [30,31] structures or footbridges [32].…”

Section: Introductionmentioning

confidence: 99%

Self-deployable tensegrity structures for adaptive morphing of helium-filled aerostats

Knap

Świercz

Graczykowski

et al. 2021

Archiv.Civ.Mech.Eng

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In this paper, the authors propose, investigate, and discuss a concept of novel type of deployable helium-filled aerostat as a low-cost mean of transport. Internal construction of the aerostat is based on ultra-light tensegrity structure equipped with prestressed tensioned elements of controllable lengths. Such tensegrity structure allows for adaptive morphing of the aerostat understood as simultaneous controllable modifications of aerostat volume and shape during the flight. The controlled volume changes enable influencing buoyancy force and obtaining desired vertical motion during the ascending and descending process. In turn, external shape changes allow for lowering the aerodynamic drag and energy usage needed to uphold stable horizontal position or maintain the desired flight path. Moreover, such internal structure allows for convenient storage, transportation and deployment of the aerostat construction on the ground or in required point at the atmosphere. The article presents an analysis of the exemplary operational mission of the aerostat. The authors introduce the mechanical model capturing interaction of the internal tensegrity structure and aerostat envelope based on the finite-element method, as well as dynamic model allowing for simulation of the aerostat’s vertical and horizontal motion influenced by buoyancy and drag forces. Both these models are used to positively verify the feasibility of the proposed concept of deployable tensegrity-based aerostat with adaptive morphing and its efficiency in realization of the assumed flight mission.

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Form-finding and analysis of hyperelastic tensegrity structures using unconstrained nonlinear programming

Cited by 7 publications

References 30 publications

Drone scheduling for construction site surveillance

Drone scheduling for construction site surveillance

Optimization of distribution patterns of link beams in a double‐column tall pier bent subjected to earthquake excitations

Self-deployable tensegrity structures for adaptive morphing of helium-filled aerostats

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