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Relevant bibliographies by topics / Tower Crane Optimization

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Journal articles

Academic literature on the topic 'Tower Crane Optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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Journal articles on the topic "Tower Crane Optimization"

1

Yuan, Si Cong, Chao Feng Wang, Hua Xue, Feng An, and Dong Hong Wang. "The Optimized Design of Tower Crane Hoisting System Based on the Improved Particle Swarm Optimization Algorithm." Applied Mechanics and Materials 548-549 (April 2014): 444–48. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.444.

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Tower crane hoisting system is the most important structural component of tower crane components. Its structural performance directly affects the performance of the overall tower crane. Combining the characteristics of The unconventional dedicate tower crane, established the mathematical model of hoisting system, and complied the particle swarm optimization algorithm program based on improved particle swarm optimization algorithm by MATLAB language, optimized analysis of hoisting system of The unconventional dedicate tower crane, and verified the optimization results by static analysis in the

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2

Wang, Ji Yong, Lei Li, Shi Jun Song, and Long Long Hao. "APDL-Based Optimization of the Boom of Luffing Jib Tower Cranes." Advanced Materials Research 291-294 (July 2011): 2566–73. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.2566.

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Tower cranes are made of steel structure, which account for more than half of their weights. Therefore, steel structre optimization of tower cranes is important for the development of design technology of tower cranes. This paper develops a systemic optimization method for tower cranes based on Ansys OPT, combined with finite element analysis (FEA) and stability theory. This mathod is firstly used in the optimization of the boom of luffing jib tower cranes. New optimization model of the boom of luffing jib tower cranes is introduced and the corresponding optimization program is developed. The

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3

Hyun, Hosang, Moonseo Park, Dowan Lee, and Jeonghoon Lee. "Tower Crane Location Optimization for Heavy Unit Lifting in High-Rise Modular Construction." Buildings 11, no. 3 (2021): 121. http://dx.doi.org/10.3390/buildings11030121.

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Modular construction, which involves unit production in factories and on-site work, has benefits such as low cost, high quality, and short duration, resulting from the controlled factory environment utilized. An efficient tower crane lifting plan ensures successful high-rise modular project completion. For improved efficiency, the lifting plan should minimize the reaching distance of the tower crane, because this distance directly affects the tower crane capacity, which is directly related to crane operation cost. In situations where units are lifted from trailers, the trailer-to-tower crane d

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4

Luo, Ji Man, Yu Zhen An, Ming Shan Zhang, and Yue Liu. "Optimization and Force Analysis of Bar Linkage Hinge Point of Self Erecting Tower Crane." Applied Mechanics and Materials 385-386 (August 2013): 150–53. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.150.

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In order to reduce the cylinder work force on pull tower linkage of self-erecting tower crane, the geometric parameters of hinge points about linkage mechanism were optimized. Through the force analysis to whole system of bar linkage, the cylinder force of bar linkage is regarded as optimization objective function, and the geometric parameters of working devices hinge points are used to variables, then, the optimization model is established. The optimization design is conducted based on the fmincon function of MATLAB optimization toolbox. The curve about force of the cylinder with the towers r

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5

Yuan, Si Cong, Hua Xue, Feng An, and Dong Hong Wang. "Dynamic Optimization Design and Research of PingQiao of the Abnormal High Tower Crane Based on the FEM." Applied Mechanics and Materials 543-547 (March 2014): 90–93. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.90.

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The dynamic performance of PingQiao of abnormal high tower crane is particularly important to the whole structure. Using the finite element method to set up the finite element parametric model of PingQiao of the abnormal high tower crane, and then making dynamic analysis. Taking the analysis result as the objective function of the optimization design model,and using the optimization algorithm module of ANSYS to make dynamic optimization design of PingQiao structure,the quality of PingQiao of the abnormal high tower crane is effectively reduced, the dynamic performance of the metal structure is

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6

Liu, Jian, Meng Hua Gu, Zi Long Bai, Xu Zhang, and Bao Long Yuan. "Tower Crane Safety Comprehensive Evaluation Based on SVM." Applied Mechanics and Materials 556-562 (May 2014): 4643–46. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4643.

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This paper focuses on the issues tower crane safety hard to be comprehensive evaluated, the machine learning theory is introduced to the tower crane safety analysis. Firstly, collect the tower crane operating parameters as samples, the SVM classifier make supervised-learning on the samples data, established classification model and running parameters are used to evaluate the secure state. In addition, the effect of different kernel functions and parameters on SVM classifier is discussed, parameters are selected after optimization by mixed method of cross-validation and grid search. Experiments

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7

Li, Xin Hua, Jian Zhou, Yi Zhang, and Ling Dai. "Fuzzy Optimal Design of Tower Crane Jib." Advanced Materials Research 199-200 (February 2011): 530–33. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.530.

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This article takes the tower crane jib as the optimized object, in view of the jib unique feature, and has established the jib quality optimization objective function, then uses amplification coefficient to obtain its membership function to the fuzzy constraint condition,thus has transformed constraint condition very well. Direct searching tool-box of MATLAB software is adopted to get the optimization model,not only is simplified the optimization process,but also global optimal solution is found reliably.

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8

Fasih, SM, Z. Mohamed, AR Husain, L. Ramli, AM Abdullahi, and W. Anjum. "Payload swing control of a tower crane using a neural network–based input shaper." Measurement and Control 53, no. 7-8 (2020): 1171–82. http://dx.doi.org/10.1177/0020294020920895.

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This paper proposes an input shaping technique for efficient payload swing control of a tower crane with cable length variations. Artificial neural network is utilized to design a zero vibration derivative shaper that can be updated according to different cable lengths as the natural frequency and damping ratio of the system changes. Unlike the conventional input shapers that are designed based on a fixed frequency, the proposed technique can predict and update the optimal shaper parameters according to the new cable length and natural frequency. Performance of the proposed technique is evalua

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9

Dasović, Borna, Mario Galić, and Uroš Klanšek. "Active BIM Approach to Optimize Work Facilities and Tower Crane Locations on Construction Sites with Repetitive Operations." Buildings 9, no. 1 (2019): 21. http://dx.doi.org/10.3390/buildings9010021.

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This paper presents an active building information modeling (BIM) approach for work facilities and the optimal positioning of tower cranes on construction sites with repetitive operations. In this context, the metamorphosis of a passive BIM approach into an active approach is described. Here, the enhancement of the construction-ready BIM model starts with the export of the optimization input parameters, such as the 3D coordinates of the building, perimeter of the construction site, space for feasible solutions, relevant segment of the building with repetitive works, etc. Depending on the compl

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10

Zhang, Menghua, Yongfeng Zhang, Bing Ji, Changhui Ma, and Xingong Cheng. "Modeling and energy-based sway reduction control for tower crane systems with double-pendulum and spherical-pendulum effects." Measurement and Control 53, no. 1-2 (2019): 141–50. http://dx.doi.org/10.1177/0020294019877492.

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As typical underactuated systems, tower crane systems present complicated nonlinear dynamics. For simplicity, the payload swing is traditionally modeled as a single-pendulum in existing works. Actually, when the hook mass is close to the payload mass, or the size of the payload is large, a tower crane may exhibit double-pendulum effects. In addition, existing control methods assume that the hook and the payload only swing in a plane. To tackle the aforementioned practical problems, we establish the dynamical model of the tower cranes with double-pendulum and spherical-pendulum effects. Then, o

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