A multidisciplinary coupling relationship coordination algorithm using the hierarchical control methods of complex systems and its application in multidisciplinary design optimization

Yuan, Rong; Li, Haiqing

doi:10.1177/1687814016685222

Cited by 21 publications

(16 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The above simulation or approximation reliability methods can avoid calculating the integral of the joint probability density function (PDF) of random variables directly, which can improve the evaluation accuracy and efficiency to a certain extent. The saddlepoint approximation analysis method is another powerful reliability method which is developed and widely utilized recently . This method will be discussed in the following part.…”

Section: The Saddlepoint Approximation Analysis Methods and The Formulmentioning

confidence: 99%

See 1 more Smart Citation

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

Meng

Yang

Zhang³

et al. 2018

Fatigue Fract Eng Mat Struct

137

View full text Add to dashboard Cite

In power and energy systems, both the aerodynamic performance and the structure reliability of turbine equipment are affected by utilized blades. In general, the design process of blade is high dimensional and nonlinear. Different coupled disciplines are also involved during this process. Moreover, unavoidable uncertainties are transported and accumulated between these coupled disciplines, which may cause turbine equipment to be unsafe. In this study, a saddlepoint approximation reliability analysis method is introduced and combined with collaborative optimization method to address the above challenge. During the above reliability analysis and design optimization process, surrogate models are utilized to alleviate the computational burden for uncertainties‐based multidisciplinary design and optimization problems. Smooth response surfaces of the performance of turbine blades are constructed instead of expensively time‐consuming simulations. A turbine blade design problem is solved here to validate the effectiveness and show the utilization of the given approach.

show abstract

Section: The Saddlepoint Approximation Analysis Methods and The Formulmentioning

confidence: 99%

“…The saddlepoint approximation analysis method is another powerful reliability method which is developed and widely utilized recently. 62,[65][66][67][68] This method will be discussed in the following part.…”

Section: Simulation or Approximation Reliability Methodsmentioning

confidence: 99%

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

Meng

Yang

Zhang³

et al. 2018

Fatigue Fract Eng Mat Struct

137

View full text Add to dashboard Cite

show abstract

“…When dealing with the design problems of complex engineering, there are two aspects of challenges which should be taken into consideration [43][44][45][46]. One is the complexity of multidisciplinary system analysis.…”

Section: Brief Review Of Rbmdomentioning

confidence: 99%

An Enhanced Reliability Index Method and Its Application in Reliability-Based Collaborative Design and Optimization

Meng

Zhu

et al. 2019

Mathematical Problems in Engineering

View full text Add to dashboard Cite

When designing complex mechanical equipment, uncertainties should be considered to enhance the reliability of performance. The Reliability Index Method (RIM) is a powerful tool which has been widely utilized in engineering design under uncertainties. To reduce computational cost in RIM, first or second order Taylor approximation is introduced to convert nonlinear probability constraint to the equivalent linear constraint during optimization process. Generally, this approximation process is performed at Most Probable Point (MPP) to reduce the loss of reliability analysis accuracy. However, it is difficult for the original RIM to be utilized in the situation that MPP is collinear and RIM has the same direction with the gradient of performance function at MPP. To tackle the above challenges, an Enhanced RIM (ERIM) is proposed in this study. The Collaborative Optimization (CO) strategy is combined with ERIM. The formula of CO using ERIM is given to solve reliability-based multidisciplinary design and optimization problems. A design problem of the speed reducer is utilized in this study to show the effectiveness of the proposed method.

show abstract

“…The sequential optimization and reliability assessment (SORA) approach is originally developed to enhance the efficiency in reliability-based design 28 and introduced into UBDO. [29][30][31][32][33] The basic idea of SORA is to decouple a UBDO problem into reliability analysis problem and deterministic design problem, respectively. Here, the idea of SORA is introduced and the strategy of UBDO-SMCS-SORA is to be discussed in detail.…”

Section: The Procedures Of Smcsmentioning

confidence: 99%

An enhanced Monte Carlo simulation–based design and optimization method and its application in the speed reducer design

Yuan

Gong

et al. 2017

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

Uncertainty-based design and optimization is becoming one of the research focuses for high safety of complex engineering systems. Evaluating failure probability is essential and necessary in uncertainty-based design and optimization. Reliability analysis method using original Monte Carlo simulation usually shows good performance in evaluation accuracy. However, in situations for computing small failure probabilities, the calculation efficiency of Monte Carlo simulation is low generally. In this study, an enhanced Monte Carlo simulation method is utilized to solve the above challenge for assessment of the probability of rare failure events in uncertainty-based design and optimization. A mathematic example and a speed reducer design problem are given to illustrate the utilization of the proposed approach.

show abstract

A multidisciplinary coupling relationship coordination algorithm using the hierarchical control methods of complex systems and its application in multidisciplinary design optimization

Cited by 21 publications

References 31 publications

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

An Enhanced Reliability Index Method and Its Application in Reliability-Based Collaborative Design and Optimization

An enhanced Monte Carlo simulation–based design and optimization method and its application in the speed reducer design

Contact Info

Product

Resources

About