Analytical method for the out-of-plane buckling of the telescopic boom with guy cables

Meng, Lei; Gui, Zhaojian; Zhang, Ke; Junru, Liu; Liu, Shiming

doi:10.1177/0036850420984330

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…boom forklift is popular since its telescopic boom can lift to 17-30 meters, making it ideal for entering narrow spaces [1]. To improve the performance of forklifts and reduce the cost of their physical prototype trial production, computer simulation-based methods are often used in its design processes, such as mechanical properties design [2], [3], safety improvement [4], [5], and comfort improvement [6], [7]. A variety of performance requirements need to consider more factors in forklift design.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Surrogate Modeling Through Transfer Learning for Telescopic Boom Forklift

Lin

Huang

et al. 2023

IEEE Access

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Simulation and optimization methods have been widely used in forklift design due to their cost-effectiveness. However, this type of method involves challenges such as the accuracy of the simulation model and the simulation solution time. These challenges reduce the stability and precision of the surrogate model and hence generate further optimization errors. In this paper, a multi-objective surrogate modeling (MSM) method for telescopic boom forklifts based on closed-loop transfer learning is proposed in order to solve these challenges. The MSM consists of the following two steps: to pre-train an initial deep neural network model (deep model) with a large amount of existing simulation data from the same type of forklift and to transfer the model with a small amount of measurement data collected on the current forklift. A general framework for deep neural network (DNN) training is introduced to improve the approximation ability of the initial model. Moreover, a novel uncertainty-analysis-based sampling method is suggested for measurement data development, and combined with transfer learning to form a closed-loop mode to improve the stability of the final model. The superiority of MSM is demonstrated through comparative studies with the fine-tuning method on a telescopic boom forklift with two objectives. The experimental results show that the Correlation coefficient (R) of the deep model can reach 0.9971 by using only 80 sets of training data. In addition, it can also achieve an improvement of at least a 13.25% reduction in Root Mean Squared Error (RMSE) and a 9.19% reduction on average in Maximum Absolute Error (MAE), as well as stronger robustness compared to the benchmarks. Furthermore, it will provide a valuable reference for the simulation optimization of complex electromechanical products.INDEX TERMS Telescopic boom forklift, surrogate model, transfer learning, uncertainty analysis, hyperparameter optimization.

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Section: Introductionmentioning

confidence: 99%

Multi-Objective Surrogate Modeling Through Transfer Learning for Telescopic Boom Forklift

Lin

Huang

et al. 2023

IEEE Access

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Numerical solution of critical force of n-step telescopic boom with superlift device

Yao

Yang

et al. 2023

AIP Advances

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The installation of a superlift device on the telescopic boom of a crane is the main method to improve the stress condition of the telescopic boom and to effectively improve the lifting performance of the crane. However, there is a lack of an effective and accurate numerical method to solve the critical force of a crane telescopic boom with a superlift device. Therefore, the telescopic boom with a superlift device is reasonably simplified as a stepped column and double cable model. Based on the longitudinal and transverse bending theory, the differential equations of the deflection of the n-stepped column with double cables model are established, the buckling characteristic equation and its recurrence formula of the n-stepped column with double cables model are derived, and the combined superlift equations are established. The Levenberg–Marquardt optimization algorithm is used to solve the critical force and length coefficient. A large amount of data were compared and analyzed between the numerical solution results and the ANSYS finite element simulation results. The error result analysis proved the correctness of the deduced buckling characteristic equation and its derived formula and the accuracy of the numerical solution. The numerical solution method in this paper can be used to calculate the critical force and length coefficient under any number of boom sections, boom section length, sectional moment of inertia, cable length, and included angle between the two cables of the telescopic boom with a superlift device. The numerical solution method can provide a technical support for the structural design of a telescopic boom with a superlift device in practical projects.

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A fast search method of buckling load for telescopic boom structure

Zhao,

Qi,

Wang

2024

Advances in Mechanical Engineering

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The telescopic boom structures are extensively utilized in engineering applications involving large mobile cranes, aerial work platforms of significant height, and similar mechanical devices. These are predominantly fabricated using solid-webbed box types, latticed truss designs, or a combination thereof. Under load, they exhibit pronounced geometric nonlinear effects, with the relationship between load and displacement demonstrating marked nonlinear characteristics. This paper focuses on the geometric nonlinear modeling of slender multi flexible beam structures. The overall structural system is divided into several substructures, and the concept of multi flexible system modeling is borrowed to establish a follow-up connected body foundation on each substructure. By decomposing the node displacement and rotation in the substructure, the large displacement and large rotation of the node are decomposed into rigid body motion of the connected base and small displacement and small rotation relative to the connected base, effectively representing the large displacement and large rotation of the substructure as rigid body motion of the connected base. A modeling method for the geometric nonlinear analysis of slender and flexible multibody beam structures is proposed. By decomposing the nodal displacement and rotation within the substructures, the large displacement and rotation of the nodes are broken down into the rigid body motion of the body-fixed coordinate and small displacement and rotation relative to the body-fixed coordinate. This approach establishes the application conditions for calculating the structure’s virtual power of deformation using traditional beam elements with linear strain. A method for solving the instability load of slender and flexible multibody structures is proposed. This method integrates the characteristics of the system’s nonlinear equilibrium equations with respect to load, by deriving the system equations with respect to a load increment control parameter. This paper converts nonlinear equilibrium equations into first-order ordinary differential equation (ODE). The method proposed in this paper provides a more efficient solution for the buckling load of the telescopic boom. It can be used to systematically and quickly calculate the structure of the telescopic boom.

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Analytical method for the out-of-plane buckling of the telescopic boom with guy cables

Cited by 4 publications

References 17 publications

Multi-Objective Surrogate Modeling Through Transfer Learning for Telescopic Boom Forklift

Multi-Objective Surrogate Modeling Through Transfer Learning for Telescopic Boom Forklift

Numerical solution of critical force of n-step telescopic boom with superlift device

A fast search method of buckling load for telescopic boom structure

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