and stiffness and it was compared with the results of optimal passive TMD design method. ... Because a passive TMD was developed decades ago, optimal design methods for structural parameters of ... However, studies of optimal design method for structural parameters of a smart TMD were little performed
model and optimization design algorithm, and speculates the future development direction of intelligent ... Therefore, intelligent ships have become the latest research direction in ship design. ... This paper analyzes the development background of intelligent ships, introduces the ship optimization
Box-Behnken design (BBD) was used as RSM. ... and to demonstrate the performances of dough prepared under optimized conditions. ... The purpose of this study was to optimize dough properties using response surface methodology (RSM)
designoptimization tools are based on finite element analysis. ... In many designoptimization problems for practical engineering models, initial raw data usually come ... This geometrically exact model can be used in the shape sensitivity analysis and designoptimization
Box-Behnken design (BBD) was used as RSM. ... and to demonstrate the performances of dough prepared under optimized conditions. ... The purpose of this study was to optimize dough properties using response surface methodology (RSM)
a number of cases and get a direction for construction design and optimization after design development ... case is out of acceptable range, and make a decision for design and optimization. ... StrAuto, as a parametric modeling and optimization tool for building structure, enables a quantity of
The purpose of the current study was to optimize the design of shrimp pots to allow greater control over ... design of pots for use in Hokkaido, Japan. ... angle at the entrance to fishing pots on the size of captured shrimp was examined to determine the optimal
For the designoptimization of the crack propagation problems, a non-shape design sensitivity is derived ... point in the designoptimization of crack propagation in a plate under tension. ... The obtained design sensitivities are futher utilized to optimally control the position of bifurcation
Optimal design for CEDM components has been carried out and the response amplitude ratios of reactor ... The optimal .mu. ... In order to improve a design it is proposed that the natural frequency ratio, f, should be converged
Therefore, this study suggests an integrated CAD/CAE system including optimal design in a more effective ... To ensure successful collaboration in the design process, it is therefore imperative that different CAD ... and integrated manner but also to support interfacing and the collective use of design and analysis
SLSV(single loop single vector)방법은 신뢰성기반 최적설계(reliability-based designoptimization, RBDO)에서 중첩된 반복과정을 ... optimization) by decoupling the nested iteration loops. ... 본 논문에서는 수정된 HMV(hybrid mean value)방법, Inactive Design, Active MPP(most probable point) Design의 적용을 통해
The design domain has pre-defined uniform fine meshes. ... During the shape optimization, relocations of nodes happen successively. ... To overcome this problem, an efficient method lot the shape optimization has been developed.
Based on the CAD model, we manufacture the optimal topology design by CNC. ... In this paper, we verify the optimal topology design for heat conduction problems in steady stated which ... To manufacture the optimal design, we apply a simple numerical method to convert it into point cloud
Through the experimental comparison of stiffness in various designs including the optimal design, it ... and fabricated using 3D printer to experimentally validate the optimal design. ... branches, which could result in the manufacturing difficulty of the obtained optimal design.
However, little research on application of RL to optimal structural design has conducted to date. ... The multi-agent of DDQN was trained for optimal structural design of RC beam to satisfy American Concrete ... The action of DQN agent is required to represent design variables of RC beam.
If sequential approximate optimization has wide side constraints that the lower limit of design variables ... optimization in this case. ... of the sequential design domain method.
In deterministic optimization, GRG method is applied. ... Example foundations with varying height of columns for traffic lights are optimized about 30% decreased ... design examples, such as cantilever columns for traffic lights, optimum design in deterministic and
SORA(Sequential Optimization & Reliability Assessment) is adopted in CESD as a probabilistic optimization ... Co Evolutionary Structural Design(CESD) Framework is presented, which can deal with the load design ... The CESD is made up of a load design discipline and a structural topology design discipline both of which
In the present study, material topology optimization designs of Michell-type beam utilizing the initial ... during optimization Procedures. ... of topology optimization algorithms.
Probabilistic structural designoptimization which is characterized to have the so-called probabilistic ... constraints is preferred to deterministic designoptimization because inherent randomness and uncertainties ... optimization.