An object-oriented MATLAB toolbox for automotive body conceptual design using distributed parallel optimization

Qin, Huan; Liu, Zijian; Liu, Yu; Zhong, Haolong

doi:10.1016/j.advengsoft.2017.01.003

Cited by 22 publications

(12 citation statements)

References 10 publications

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“…The validity of TSMM has been demonstrated by a detailed auto-body finite element model in the literature [12]. In this section, numerical examples of both level 1 and 2 optimization are carried out.…”

Section: Numerical Examplesmentioning

confidence: 99%

“…In FEM, even a normal beam element may be divided into many segments to achieve higher accuracy, especially for dynamic analysis. Therefore, Qin et al [12] proposed the TSMM to support exact static and dynamic analyses of a BIW structure. In this paper, a two-level cross-sectional optimization approach is proposed.…”

Section: Fig 1 the Biw Concept Modelmentioning

confidence: 99%

“…9 Main architecture of the "ABCD" toolbox Fig. 10 The GUI of "ABCD" toolbox program is parallelized using distributed parallel computing to remarkably speed up the optimization [12].…”

Section: Matlab Platformmentioning

confidence: 99%

“…The structural stiffness relations of the whole structure under static equilibrium and free vibration conditions are written in the form Sd = P, static equilibrium 0, free vibration (2) where d denotes the unknown joint displacement vector, and P is the joint load vector for the static condition. Then the joint displacements are stored using the skyline storage method [17] and computed using the substitution method [12,13]; the eigenfrequencies are calculated by applying the WittrickWilliams algorithm [18] in conjunction with the bisection method.…”

Section: Solution For Equationsmentioning

confidence: 99%

“…3). Eventually, the condensed stiffness matrix k s for the semi-rigid beam which is also 12 × 12 dimensional can be derived [12], and the semi-rigid member in Fig. 3 can be analyzed as a common member.…”

Section: Introduction To Tsmmmentioning

confidence: 99%

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A Two-Level Cross-Sectional Optimization Approach for Automotive Body Concept Design

Qin

Liu

et al. 2018

Automot. Innov.

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Concept design is vital important in development of auto-body and it has great effects on later design work. In this paper, a twolevel cross-sectional optimization approach is presented to shorten concept design cycles. First, an exact structural analysis approach for spatial semi-rigid framed structures, i.e., the transfer stiffness matrix method proposed in our previous study, is adopted for both static and dynamic analyses of body-in-white (BIW) structure. A two-level cross-sectional optimization approach is then proposed for an automotive BIW lightweight design, and genetic algorithm is used to solve the optimization models. Afterward, an object-oriented MATLAB toolbox, using distributed parallel computing techniques, is developed to promote the concept design of the BIW structure. Finally, relevant numerical examples demonstrate the validity and accuracy of the proposed method.

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Section: Numerical Examplesmentioning

confidence: 99%

Section: Fig 1 the Biw Concept Modelmentioning

confidence: 99%

“…9 Main architecture of the "ABCD" toolbox Fig. 10 The GUI of "ABCD" toolbox program is parallelized using distributed parallel computing to remarkably speed up the optimization [12].…”

Section: Matlab Platformmentioning

confidence: 99%

Section: Solution For Equationsmentioning

confidence: 99%

Section: Introduction To Tsmmmentioning

confidence: 99%

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A Two-Level Cross-Sectional Optimization Approach for Automotive Body Concept Design

Qin

Liu

et al. 2018

Automot. Innov.

Self Cite

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Probabilistic modeling of renewable energy source based on Spark platform with large-scale sample data

Yang

et al. 2018

Int Trans Electr Energ Syst

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Summary In this paper, the probabilistic modeling based on resilient distribution dataset (RDD) of Spark platform is proposed to efficiently process the large‐scale sample data of renewable energy source (RES). Based on Spark and Hadoop distributed file system, a parallel and distributed framework compatible with on‐hand RES data storage systems is firstly designed for the fast probabilistic modeling of RES. On the basis of the designed framework, a novel parallel estimation algorithm of Wakeby distribution as well as kernel density estimation is developed based on RDD. With the in‐memory parallel computing and fault‐tolerant characteristics of RDD, the proposed algorithms significantly enhance the parallel execution performance of probabilistic. Besides, the approximate analytical relationship among time consumptions of the proposed algorithms, two important adjustable parameters (degree of parallelism and the number of partitions) of Spark platform, and large sample size of RES is derived, which is helpful for prediction of computational time, hardware configuration setting, and program tuning in the Spark platform. Simulation results with sample size ranging from 7.3 × 106 to 3.6 × 109 demonstrate the correctness and effectiveness of the proposed techniques.

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An efficient structural optimization approach for the modular automotive body conceptual design

Liu

Qin

et al. 2018

Struct Multidisc Optim

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An object-oriented MATLAB toolbox for automotive body conceptual design using distributed parallel optimization

Cited by 22 publications

References 10 publications

A Two-Level Cross-Sectional Optimization Approach for Automotive Body Concept Design

A Two-Level Cross-Sectional Optimization Approach for Automotive Body Concept Design

Probabilistic modeling of renewable energy source based on Spark platform with large-scale sample data

An efficient structural optimization approach for the modular automotive body conceptual design

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