Periodic Topology Optimization of the Box-type Girder of Bridge Crane

Jiao, Hongyu

doi:10.3901/jme.2014.23.134

Cited by 6 publications

(4 citation statements)

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“…At present, the crane part optimisation design mainly focusses on the girder structure. For instance, Jiao et al divided the optimisation domain of the girder into several subdomains and established the mathematical model of periodic topology optimisation of the girder [15]. The model takes the relative density of elements in the optimisation domain as the design variable and the minimum flexibility under volume constraints as the objective function and can solve the problem of crane topology optimisation when the length of the girder of the bridge crane is much larger than the height and width.…”

Section: Optimal Design Of Cranementioning

confidence: 99%

Engineering design optimisation using reinforcement learning with episodic controllers

Yang

Cheng

Xiao

et al. 2022

Cognitive Comp and Systems

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Engineers solving engineering design problems can be regarded as a gradual optimisation process that involves strategising. The process can be modelled as a reinforcement learning (RL) framework. This article presents an RL model with episodic controllers to solve engineering problems. Episodic controllers provide a mechanism for using the short‐term and long‐term memories to improve the efficiency of searching for engineering problem solutions. This work demonstrates that the two kinds of models of memories can be incorporated into the existing RL framework. Finally, an optimised design problem of a crane girder is illustrated by RL with episodic controllers. The work presented in this study leverages the RL model that has been shown to mimic human problem solving in engineering optimised design problems.

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Section: Optimal Design Of Cranementioning

confidence: 99%

Engineering design optimisation using reinforcement learning with episodic controllers

Yang

Cheng

Xiao

et al. 2022

Cognitive Comp and Systems

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“…To sum up, the mechanical model of the main girder structure is simplified to the simply supported girder structure model, which is shown in Figure 15. Q in Figure 14 is the uniform load in vertical direction caused by the self-weight of main girder, and the value of Q is determined by the main girder section parameters as shown in Figure 14, which is calculated according to equation (6). Parameters of main girder mid-span section are shown in Table 6.…”

Section: Steel Structure Design Of Crane Main Girdermentioning

confidence: 99%

“…Deng et al 3 took the trackless telescopic gantry crane structure as the research object, through ANSYS software, the weight of the crane steel structure is optimized by 23.4%, which improves the utilization rate of materials Xiao et al 4 adopted the topology optimization method to carry out the lightweight design of the crane gearbox, which verified the rationality of the box improvement method. Jiao et al 5,6 established a mathematical model for periodic topology optimization of the main girder, taken the volume as the constraint and the minimum flexibility as the goal, this method provides a reference for the optimization of the size and shape of the general bridge crane. Li and Liu 7 used super-element technology combined with topology optimization technology to optimize the crane frame structure, and used finite element analysis and fatigue tests to verify that the super-element method can handle complex structures.…”

Section: Introductionmentioning

confidence: 99%

Lightweight and green design of general bridge crane structure based on multi- specular reflection algorithm

Dong

et al. 2021

Advances in Mechanical Engineering

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At present, there are some problems that need to be solved in crane steel structure design, such as heavy self-weight of finished structure, high production energy consumption, and huge manufacturing costs. In view of this, a lightweight design method that meets the green product design principle is proposed for crane structure. In this method, an improved new swarm intelligence optimization algorithm named the multi-specular reflection algorithm (M-SRA) is proposed. This algorithm combines the specular reflection algorithm (SRA) with the traditional swarm intelligence optimization algorithm, which has higher computational efficiency. After that, M-SRA is applied to crane steel structure optimization. The results show that the improved algorithm has higher global searching ability and computational efficiency than traditional population intelligence optimization algorithms. The research in this paper provides a reliable design method for the green lightweight design of crane steel structure and a reference for the green design of mechanical products.

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“…Taking the virtual prototype of a four-cylinder engine block as the design object, the variable density method was adopted to realize low-vibration optimization design. Jiao et al [15] divided the optimization domain of a bridge crane girder into several subdomains. en, the relationship between the subdomains and the optimization domain was constructed to establish a mathematical model for the periodic topology optimization of the girder.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Topology Optimization of Long‐Span Continuum Structures

Wang

Qin

Wang

et al. 2021

Shock and Vibration

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Herein, to improve the dynamic performance of continuum structures, their fundamental frequency is optimized using the topology optimization method. This helps to obtain the best material distribution in the design space and increases the fundamental frequency of the structure higher than the disturbance frequency. Using the variable density method, the dynamic topology optimization model of a long-span continuum structure is built based on the density interpolation model of a solid isotropic material with penalization (SIMP). The goal of this optimization is to maximize the first-order eigenvalue, and the optimization constraint is that the total volume of the structure is smaller than the given value. To improve the efficiency and accuracy of the model, sensitivity filtering is adopted to avoid numerical instability during calculation. Moreover, the optimization criterion method is used to iteratively solve the optimization results. Finally, the structural topology optimization method is implemented on the long-span single beam of a bridge crane at a construction site. The results show that the natural frequency of the structure is increased and the modal characteristics are improved, which lays the foundation for further optimization and dynamic-response analysis.

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Periodic Topology Optimization of the Box-type Girder of Bridge Crane

Cited by 6 publications

References 0 publications

Engineering design optimisation using reinforcement learning with episodic controllers

Engineering design optimisation using reinforcement learning with episodic controllers

Lightweight and green design of general bridge crane structure based on multi- specular reflection algorithm

Dynamic Topology Optimization of Long‐Span Continuum Structures

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