2 edition of Robust optimal design of structures in the presence of uncertain loads. found in the catalog.
Robust optimal design of structures in the presence of uncertain loads.
Written in English
The notion that conventional structural optimization is antithetical to preserving the robustness of a system is explained briefly, and then, in order to identify viable alternatives which would lead to more realistic results, some of the more established optimization methods capable of tackling uncertain loads, are discussed. In particular, the application of convex methods for min-max optimization is investigated, and the difficulties associated with the implementation of convex models to problems having a large number of uncertain design variables are illustrated. Based on a combination of convex methods and evolutionary principles, a new algorithm is developed in which an additional string of genes is incorporated into the analysis to enhance the search for the worst load case. Examples are given to illustrate the accuracy and efficiency of this new algorithm along with some important conclusions and recommendations for future investigations.
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The design strategy is illustrated through an example problem involving the redesign of a tanker structure for optimal performance and reliability. The sensitivity of the optimal design to uncertain design parameters, such as material properties and loads. Robust Optimal Planning and Operation of Electrical Energy Systems Behnam Mohammadi-ivatloo, Morteza Nazari-Heris This book discusses the recent developments in robust optimization (RO) and information gap design theory (IGDT) methods and their application for the optimal planning and operation of electric energy systems. power sources with AC loads, such as the Hz ripple that has to be provided by the DC sources. Problems related to robust and optimal design of converter controllers have received recent attention. In , a linear-matrix-inequality (LMI) based robust control design for boost converters has resulted in signicant improvements.
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Robust Optimal Design of Beams Subject to Uncertain Loads Optimality conditions are derived for the robust optimal design of beams subject to a combination of uncertain and deterministic transverse and boundary loads using a variational min-max by: 1. The robust design of structures is formulated as a multi-criteria optimization problem, in which both the expected value and the standard deviation of the objective function are to.
Yang et al. developed a robust optimal sensor placement for uncertain structures . In their schemes, the fitness function based on the Fisher information matrix (FIM) is. The robust design of non-linear structures with path-dependent response is stated as a two-criteria optimization problem and is solved by the method of mathematical programming.
Optimality conditions are derived for the robust optimal design of beams subject to a combination of uncertain and deterministic transverse and boundary loads using a variational min-max approach. The structural physical properties are often uncertain due to manufacture errors, measurement errors and other factors.
Consequently, the vibration frequencies and corresponding eigenvectors are also uncertain. Robust design selects suitable design variables so that structural performance is insensitive to the various causes of variation without eliminating possible Author: Ji Yun Chen, Yan Luo, Dong Huan Liu.
Robust optimization of complex uncertain structures usually involves multiple conflicting and competing structural performance indices. Present approaches for achieving the final design of such an optimization problem always involve a decision-making process, which is a demanding task that requires the rich experience and expert skills of : Jin Cheng, Zhenyu Liu, Yangming Qian, Zhendong Zhou, Jianrong Tan.
Optimal and robust design of nonlinear structures under uncertain loads using statistical optimization method Q. Yu\ T. Kashiwamura^, M. Shiratori*, T. Yamada* ^Department of Mechanical Engineering and Material Science, Yokohama National University, Hodogaya-ku, Yokohama-shi, Kanagawa-ken, Japan.
A review of robust optimal design and its application in dynamics C. Zang a, M.I. Friswell a,*, J.E. Mottershead b a Department of Aerospace Engineering, University of Bristol, Queen’s Building, Bristol BS8 1TR, United Kingdom b Department of Engineering, University of Liverpool, Brownlow Hill, Liverpool L69 3GH, United Kingdom Received 13 November ; accepted 9.
Two design methodologies were developed to quantify the variability associated with the design process: Allowable Stress Design (ASD) and Load and Resistance Factor Design (LRFD).
These traditional approaches explicitly recognize the presence of uncertainty, however they do not take robustness against this uncertainty into : Sarah K.
Dalton, Ismail Farajpour, C. Hsein Juang, Sez Atamturktur. In the study, the uncertainties in ship girder loads and the equivalent stiffnesses of docking blocks are considered separately. The mathematical model for optimal design of docking blocks with uncertainty can be formulated as follows: (8) min X V= ∑ i=1 N B i C i (H 1i +H 2i) s.t.
max P ∈ C P (α) G j (X, P) ≤0, j=1, 2,N g. In by: Optimal Design of a Beam under Uncertain Loads Optimal beams; Robust design 1 Introduction Under operational conditions, a structure is usually This formulation is suitable for designing structures to carry loads that are not known in advance as discussed in papers [6, 7, 8, 15] where the authors proposed a min.
The robust topology optimization problem of structures under loading uncertainty can be reformulated as(5)Minρ:J=μ(c)+βσ(c)s.t.:Ku(ω)=f(ω)(ω∈θ)g=V-Vmax=∑e=1Nρeve-Vmax⩽0,0⩽ρ⩽1,where μ(c) and σ(c) are the mean and standard deviation of compliance, the objective function J is a weighted sum of μ(c) and σ(c).Cited by: Robust design aims to find a configuration set in which the structural performance is least sensitive to uncertain parameters.
The robust design method under loads uncertainty is a nested optimization. In each iteration process, the worst-case constraints can be achieved by the anti-optimization, and then the outer loop performs the.
Efficient Robust Optimization of Structures Subjected to Earthquake Load and Characterized by Uncertain Bounded System Parameters: /ch An efficient robust design optimization (RDO) procedure is proposed in the framework of an adaptive response surface method (RSM) for structures subjected toCited by: 2.
The “robust design” refers to optimal designs under the uncertain loads N x,N y ∈U 1 with the buckling load denoted by λ max. It is observed that in the case of the graphite–epoxy laminate θ opt values for the robust design coincide with those of deterministic designs for both cases of (N x =1 kN/m and N y =0) and (N x =0 and N y =1 Cited by: 3D BENCHMARK RESULTS FOR ROBUST STRUCTURAL OPTIMIZATION easily implemented in lines of MATLAB code, which is an extension of the 88 line long MATLAB code developed by Andreassen et al.
 for 2D topology optimization. A new worst-load-direction oriented approach for robust topology optimization withFile Size: KB.
Fig. 3 contains the optimal topologies when (a) each of the loads is applied simultaneously and (b) the loading is considered uncertain, with each of the three load cases having equal probability of occurring.
The topologies are very different, and different from those in Fig. mean compliance of the design in Fig. 3b is with a standard deviation of Cited by: On the base of traditional robust optimal design in statics, in this paper, by considering the system under the incentive force of the arbitrary time function, the dynamic response robust optimal design problem, when system dynamic response can only be calculated using numerical integration.
Considering the environmental interference factors in a system, derived the Author: Shi Wei Chen, Kai Lin Jian. Fujita K, Takewaki I (b) Robust passive damper design for building structures under uncertain structural parameter environments.
Earthq Struct 3(6)– CrossRef Google Scholar Fujita K, Moustafa A, Takewaki I (a) Optimal placement of viscoelastic dampers and supporting members under variable critical excitations. Most works of robust topology optimization focus on uncertain loads, while studies on material, or geometrical uncertainties, are also found in the literature.
It is noted that non-probabilistic models have also been used in robust design optimization problems considering uncertain loading conditions or member sizes [34 Cited by: 6. In this paper a newly proposed approach to robust optimization is adopted in order to study the influence of uncertain structural parameters on the design of a passive control system The control devices are Tuned Mass Dampers placed on a tall building subjected to wind load.
The uncertain structural variables are the floors’ mass and stiffness. The spatial Cited by: Reliability-Based Robust Design Optimization of Structures Considering Uncertainty in Design Variables. en each optimal design was checked if it satis es the RDO formulation (European design codes for structures) in of its double-loop structure Robust Design Method.
A commonly used de nition. The optimum of the structure is achieved by minimizing the value of the objective function subject to the worst-case constraints under uncertainty loads while the robustness is ensured by the anti-optimization process conducting the worst-case-scenario.
The robust design of a bar and a bar truss under uncertain loads are. In this paper we present an optimization-based method for finding confidential bounds for the dynamic steady-state response of a damped structure subjected to uncertain driving loads.
The amplitude of harmonic driving loads is supposed to obey a non-probabilistic uncertainty : Yoshihiro Kanno, Izuru Takewaki. For the purpose of improving the mechanical performance indices of uncertain structures with interval parameters and ensure their robustness when fluctuating under interval parameters, a constrained interval robust optimization model is constructed with both the center and halfwidth of the most important mechanical performance index described as objective Cited by: 2.
Robust topology optimization of thin plate structure under concentrated load with uncertain load position Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.
10, No. 4 Layout optimization of continuum structures considering the probabilistic and fuzzy directional uncertainty of applied loads based on the cloud modelCited by: This paper presents a simple yet efficient method for the topology optimization of continuum structures considering interval uncertainties in loading directions.
Interval mathematics is employed to equivalently transform the uncertain topology optimization problem into a deterministic one with multiple load by: Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty Dudy Lim1, Yew-Soon Ong1, Meng-Hiot Lim2, and Yaochu Jin3 1 School of Computer Engineering Nanyang Technological University Nanyang Avenue, Singapore Cited by: Lim D., Ong Y.S., Lee B.S.
() Inverse Multi-Objective Robust Evolutionary Design Optimization in The Presence of Uncertainty. In: Workshop on Evolutionary Algorithm for Dynamic Optimization Problems, Genetic and Evolutionary Computation Conference (GECCO), Washington Google ScholarCited by: This paper deals with the design optimization problem of a structural-acoustic system in the presence of uncertainties.
The uncertain vibroacoustic numerical model is constructed by using a recent nonparametric probabilistic model, which takes into account model uncertainties and data by: Abstract—Design and implementation of an optimal and robust single-loop voltage controller is proposed for single-phase grid-forming voltage source inverter (VSI).
The objective of the proposed controller is to have good reference tracking and disturbance rejection. Uncertain nature of loads can signiﬁcantlyAuthor: Soham Chakraborty, Sourav Patel, Murti V. Salapaka.
the elastic bars on uncertain foundations , bound analy-sis of a beam  and uncertain analysis in structural num-ber determination in ﬂexible pavement design  etc. Applying convex model to the optimization of uncertain structures has not been widely studied. Elishakoﬀ et al.  optimized a truss with uncertain but bounded loads.
Due to the complexity and particularity of the civil engineering structures, advanced control tech-niques, such as optimal control, predictive control and robust control are more suitable for the structural control. Some classical control strategies, PID control, for example, can provide great utility in practical.
In order to design the automotive components considering probabilistic uncertainties in the decision variables, it is desired to perform a robust design process. The peak crushing force of the energy absorber components is one of the important objectives of the design of such components.
In this paper, at first, the peak crushing force of the S-shaped box beams, as a Cited by: 4. is incorporated into the robust optimal design process.
Therefore, the propagation of a prior knowledge regarding the uncertain parameters through the system provides some probabilistic metrics such as random variable and random process In RDO approach, the robust performance is required to be less sensitive to the random variation induced by.
11th World Congress on Structural and Multidisciplinary Optimization 7th - 12th, JuneSydney Australia Robust Topology Optimization of Thin Plate Structure under Concentrated Load with Uncertain Load Point Yoshiaki Nakazawa1, Nozomu Kogiso2, Takayuki Yamada3, Shinji Nishiwaki4 1 Osaka Prefecture University, Sakai, Japan, [email protected]
This paper investigates the structural design optimization to cover both the reliability and robustness under uncertainty in design variables. The main objective is to improve the efficiency of the optimization process. To address this problem, a hybrid reliability-based robust design optimization (RRDO) method is proposed.
Prior to the design optimization, the Sobol Cited by: 4. The optimal design of parameters of lin-ear and nonlinear structural control devices is per-formed using the proposed approach while key el-ements of the structure are uncertain (e.g., a previ-ously installed passive damping device).Author: Subhayan De, Steven F.
Wojtkiewicz, Erik A. Johnson. INTRODUCTION b. Structural Design & Analysis, & Code Specifications Slide No. 30 ENCE ©Assakkaf Example 2 (cont’d) Select INTRODUCTION b. Structural Design & Analysis, & Code Specifications Slide No.
31 Loads ENCE ©Assakkaf QThe objective of a structural engineer is to design a structure that will be able toFile Size: 1MB. This book gives a direct and comprehensive introduction to the theoretical and numerical concepts in the emergent field of optimal control of partial differential equations (PDEs) under uncertainty.
The main objective of the book is to provide graduate students and researchers with a smooth transition from optimal control of deterministic PDEs to optimal control of random .the optimal size and shape of a structure, it is necessary to obtain an optimal topology for a truly optimal design.
In this paper, the homogenization design method is utilized to generate the optimal topology for structures and an explicit direct integration scheme is employed to solve the linear transient by: () On robust design optimization of truss structures with bounded uncertainties.
Structural and Multidisciplinary Optimization() An ant colony system for the capacitated vehicle routing problem with uncertain travel by: