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Computer Modeling in Engineering & Sciences 2020年第2期122卷 525-553页

作者： Qing Dong Bin He gening xu School of Mechanical Engineering Taiyuan University of Science and TechnologyTaiyuanChina.

To compensate for the shortcomings of quasi-static law in anti-fatigue analysis of foundry crane metal structures,the fatigue life evaluation method of foundry crane metal structure considering load dynamic response and crack closure effect is *** line with the theory of mechanical vibration,a dynamic model of crane structure during the working cycle is constructed,and dynamic coefficients under diverse actions are *** models of the internal force dynamic change process of dangerous cross-sections and a simulation model of first principal stress-time history are established by using the steel structure design criteria,which is utilised to extract the change of first principal stress of danger points over ***,the double-parameter stress spectrum is obtained by the rain flow counting *** fatigue life calculation formula is corrected by introducing a crack closure parameter that can be calculated by the stress ratio and the effective stress *** the finite element model imported into ***,crack propagation analysis is performed by the growth method in the fatigue integration module *** the metal structure of a 100/40t-28.5m foundry crane with track offset as an example,the accuracy of calculation results and the feasibility and applicability of the proposed method are verified by theoretical calculation and finite element simulation,which provide a theoretical basis for improvement of the fatigue resistance design of foundry cranes.

关键词： Metal structure of foundry crane load dynamic effect crack closure effect crack propagation fatigue life.

Intelligent Optimization Methods for the Design of an Overhead Travelling Crane

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Chinese Journal of Mechanical Engineering 2015年第1期28卷 187-196页

作者： QU Xiaogang xu gening FAN Xiaoning BI Xiaoheng School of Mechanical & Electronical Engineering Lanzhou University of Technology School of Mechanical Engineering Taiyuan University of Science and Technology

In design optimization of crane metal structures, present approaches are based on simple models and mixed variables, which are difficult to use in practice and usually lead to failure of optimized results for rounding variables. Crane metal structure optimal design（CMSOD） belongs to a constrained nonlinear optimization problem with discrete variables. A novel algorithm combining ant colony algorithm with a mutation-based local search（ACAM） is developed and used for a real CMSOD for the first time. In the algorithm model, the encoded mode of continuous array elements is introduced. This not only avoids the need to round optimization design variables during mixed variable optimization, but also facilitates the construction of heuristic information, and the storage and update of the ant colony pheromone. Together with the proposed ACAM, a genetic algorithm（GA） and particle swarm optimization（PSO） are used to optimize the metal structure of a crane. The optimization results show that the convergence speed of ACAM is approximately 20% of that of the GA and around 11% of that of the PSO. The objective function value given by ACAM is 22.23% less than the practical design value, a reduction of 16.42% over the GA and 3.27% over the PSO. The developed ACAM is an effective intelligent method for CMSOD and superior to other methods.

关键词： crane metal structure design optimization continuous array element encoded model ant colony optimization particle swarm optimization genetic algorithm

Methodology to Estimate Remaining Service Life of Steel Structure by Possibilistic Reliability Theory

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Chinese Journal of Mechanical Engineering 2010年第6期23卷 780-787页

作者： xu gening YANG Ruigang ZHOU Ke FAN Xiaoning School of Machinery and Electronics Engineering Taiyuan University of Science and Technology Taiyuan 030024 China School of Applied Mechanics and Biomedical Engineering Taiyuan University of Technology Taiyuan 030024 China

Steel structure system of crane deteriorates over time due to environmental effects, material fatigue, and overloading. System structural reliability and remaining service life assessment methods are developed during the few decades. But until now estimating remaining service life methods of crane steel system by reliability theory begin to develop. Safety assessment of existing steel structure system requires the development of a methodology that allows for an accurate evaluation of reliability and prediction of the remaining life. Steel structures are the supporting elements in the special equipment such as hoisting machinery. Structure reliability and remaining service life safe assessment are important for steel structures. For finding the reason which caused the failure modes （such as fatigue strength failure, stiffness failure and stability failure）, incremental loading method based on possibilistic reliability is applied into dynamic structure failure path research. Through reliability analyzing and calculating for crane, it is demonstrated that fatigue damage is the most common failure mode. Fuzzy fatigue damage accumulation theory is used for basis theory and Paris-Eadogan equations are used for mathematical modeling. All fatigue parameter values of the welding box girder of bridge cranes are determined and fatigue remaining life formulas are deduced. After field test and collecting working parameters of numerous cranes, typical fatigue load spectrum was compiled for the dangerous point of box girders used in the area. Fatigue remaining life is assessed for different types and lifting capacities. Safety for steel structure system of bridge crane is assessed by two quantitative indexs： reliability and remaining life. Therefore, the evaluation means is more comprehensive and reasonable. The example shows that the two quantitative indexs are mutually correlated. Through analyzing the 120 t-22.5 m bridge crane of a certain enterprise, a new methodology to estim

关键词： steel structure system fuzzy fatigue damage possibilistic reliability

Research on Adaptive TSSA-HKRVM Model for Regression Prediction of Crane Load Spectrum

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 2345-2370页

作者： Dong Qing Qi Song Shuangyun Huang gening xu College of Mechanical Engineering Taiyuan University of Science and TechnologyTaiyuan030024China Zhuzhou Tianqiao Crane Co. Ltd.Zhuzhou412001China

For the randomness of crane working load leading to the decrease of load spectrum prediction accuracy with time,an adaptive TSSA-HKRVM model for crane load spectrum regression prediction is *** heterogeneous kernel relevance vector machine model(HKRVM)with comprehensive expression ability is established using the complementary advantages of various kernel *** combination strategy consisting of refraction reverse learning,golden sine,and Cauchy mutation+logistic chaotic perturbation is introduced to form a multi-strategy improved sparrow algorithm(TSSA),thus optimizing the relevant parameters of *** adaptive updatingmechanismof the heterogeneous kernel RVMmodel under themulti-strategy improved sparrow algorithm(TSSA-HKMRVM)is defined by the sliding window design *** on the sample data of the measured load spectrum,the trained adaptive TSSA-HKRVMmodel is employed to complete the prediction of the crane equivalent load *** this method toQD20/10 t×43m×12mgeneral bridge crane,the results show that:compared with other prediction models,although the complexity of the adaptive TSSA-HKRVMmodel is relatively high,the prediction accuracy of the load spectrum under long periods has been effectively improved,and the completeness of the load information during thewhole life cycle is relatively higher,with better applicability.

关键词： Heterogeneous kernel function RVM TSSA adaptive update mechanism equivalent load spectrum

HYPERSTATIC STRUCTURE MAPPING MODEL BUILDING AND OPTIMIZING DESIGN

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Chinese Journal of Mechanical Engineering 2007年第1期20卷 55-59页

作者： xu gening GAO Youshan ZHANG xueliang YANG Ruigang College of Mechanical Electronic Engineenng Taiyuan University of Science and Technology Taiyuan 030024 China Department of Automotive Engineenng Beihang University Beijing 100083 China College of Mechanical Eleclronic Engineenng Taiyuan University of Science and Technology Taiyuan 030024 China

Hyperstatic structure plane model being built by structural mechanics is studied. Space model precisely reflected in real stress of the structure is built by finite element method （FEM） analysis commerce software. Mapping model of complex structure system is set up, with convenient calculation just as in plane model and comprehensive information as in space model. Plane model and space model are calculated under the same working condition. Plane model modular construction inner force is considered as input data; Space model modular construction inner force is considered as output data. Thus specimen is built on input data and output dam. Character and affiliation are extracted through training specimen, with the employment of nonlinear mapping capability of the artificial neural network. Mapping model with interpolation and extrpolation is gained, laying the foundation for optimum design. The steel structure of high-layer parking system （SSHLPS） is calculated as an instance. A three-layer back-propagation （BP） net including one hidden layer is constructed with nine input nodes and eight output nodes for a five-layer SSHLPS. The three-layer structure optimization result through the mapping model interpolation contrasts with integrity re-analysis, and seven layers structure through the mapping model extrpulation contrasts with integrity re-analysis. Any layer SSHLPS among 1-8 can be calculated with much accuracy. Amount of calculation can also be reduced if it is appfied into the same topological structure, with reduced distortion and assured precision.

关键词： Plane model - Space model Artificial neural networks Mapping model Optimum design

Load Reduction Test Method of Similarity Theory and BP Neural Networks of Large Cranes

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Chinese Journal of Mechanical Engineering 2016年第1期29卷 145-151页

作者： YANG Ruigang DUAN Zhibin LU Yi WANG Lei xu gening School of Mechanical Engineering Taiyuan University of Science and Technology

Static load tests are an important means of supervising and detecting a crane＇s lift capacity. Due to space restrictions, however, there are difficulties and potential danger when testing large bridge cranes. To solve the loading problems of large-tonnage cranes during testing, an equivalency test is proposed based on the similarity theory and BP neural networks. The maximum stress and displacement of a large bridge crane is tested in small loads, combined with the training neural network of a similar structure crane through stress and displacement data which is collected by a physics simulation progressively loaded to a static load test load within the material scope of work. The maximum stress and displacement of a crane under a static load test load can be predicted through the relationship of stress, displacement, and load. By measuring the stress and displacement of small tonnage weights, the stress and displacement of large loads can be predicted, such as the maximum load capacity, which is 1.25 times the rated capacity. Experimental study shows that the load reduction test method can reflect the lift capacity of large bridge cranes. The load shedding predictive analysis for Sanxia 1200 t bridge crane test data indicates that when the load is 1.25 times the rated lifting capacity, the predicted displacement and actual displacement error is zero. The method solves the problem that lifting capacities are difficult to obtain and testing accidents are easily possible when 1.25 times related weight loads are tested for large tonnage cranes.

关键词： similarity theory BP neural network large bridge crane load reduction equivalent test method

Reliability-based Robust Optimization Design Based on Specular Reflection Algorithm

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自动化学报 2017年第8期43卷 1457-1464页

作者： Qisong Qi Jun Wang gening xu Xiaoning Fan Taiyuan University of Science and Technology Taiyuan 030024 China

In this paper, a novel global optimization method - specular reflection algorithm (SRA) is proposed, which simulates the unique optical property of mirror - reflection function. Combining the computing features of the SRA with traditional mathematical theories, the global convergence ability of the SRA is verified. The reasonable value of the SRA's control parameter is analysed, so that the best control parameter which is suitable for current optimization problems can be acquired. Four numerical examples are researched using the SRA and other 4 classical intelligent optimization methods, such as particle swarm optimization, Kalman swarm optimization, etc. Simulation results of numerical examples demonstrated the effectiveness and superiority of the SRA, especially its suitability for solving high dimensional, multi-peak complex functions. Finally the structure of general bridge crane is investigated and designed by SRA for robust reliability optimization design. The results illustrate that the SRA is reasonable, accurate and can be treated as an effective analysis technique in reliability-based robust optimization design. It can be predicted that the SRA can be widely used in engineering for creating more value.

关键词：稳健优化设计粒子群算法镜面反射可靠性全局优化方法智能优化方法控制参数数值算例

基于盲数理论的萤火虫神经网络失效征候结构可靠度预测

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中国机械工程 2017年第15期28卷 1796-1805页

作者：董青徐格宁太原科技大学机械工程学院太原030024

在任意可行性工况下,针对大型臂架失效征候结构的载荷效应与抗力的多种不确定因素导致结构可靠度难以确定的问题,通过构建盲数失效征候结构可靠度模型(BNFSSRM)、串行式萤火虫神经网络预测模型——缺陷结构远场应力预测子模型(STFNN-DSS... 详细信息

在任意可行性工况下,针对大型臂架失效征候结构的载荷效应与抗力的多种不确定因素导致结构可靠度难以确定的问题,通过构建盲数失效征候结构可靠度模型(BNFSSRM)、串行式萤火虫神经网络预测模型——缺陷结构远场应力预测子模型(STFNN-DSSSPSM)与缺陷结构可靠度预测子模型(STFNN-DSRPSM)串联,提出了基于盲数理论的萤火虫神经网络失效征候结构可靠度预测方法。以应力-强度干涉模型为基础,萤火虫神经网络为预测方法,根据裂纹失稳扩展准则,将不确定性问题盲数化的思想引入裂纹强度因子与断裂韧性的干涉模型,通过试验仿真与STFNN-DSSSPSM,得到典型工况下裂纹缺陷结构的可靠度;再以此为扩展样本的目标输出、裂纹扩展尺寸为扩展样本的输入,通过BNFSSRM、STFNN-DSRPSM,实时预测不同工况下缺陷结构的可靠度,评估抵抗失效的能力以及不同工况退出可行性工况域的先后顺序。以QY130流动式起重机再制造臂架结构为例,验证了该方法的有效性,为结构再制造准入期实时判断以及再制造方案的选择提供了理论指导。

关键词：盲数理论失效征候裂纹缺陷萤火虫神经网络

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基于约束刚柔耦合系统的叉车振动研究

机械工程学报 2011年第20期47卷 89-94页

作者：杨明亮徐格宁太原科技大学机械工程学院太原030024

针对某型叉车行驶时座椅处振动强烈的性能缺陷开展研究,结合多体动力学方法,充分考虑叉车车架为空间柔性体以及路面对叉车动态性能的影响,建立基于约束刚柔耦合的叉车动力学模型,进行叉车行驶时动态特性仿真与评价。根据相关试验结果验... 详细信息

针对某型叉车行驶时座椅处振动强烈的性能缺陷开展研究,结合多体动力学方法,充分考虑叉车车架为空间柔性体以及路面对叉车动态性能的影响,建立基于约束刚柔耦合的叉车动力学模型,进行叉车行驶时动态特性仿真与评价。根据相关试验结果验证理论模型与仿真模型的正确性。在此基础上,针对座椅垂直振动对叉车的整车系统提出改进设计的措施:转向桥采用转轴为椭圆形且支座内有橡胶垫块的弹性铰接以及护顶架通过4处橡胶垫块与车架相连接,发动机盖铰接在护顶架上,座椅安装在发动机盖上,将发动机通过两处橡胶垫块(隔振垫)与车架连接。对改进后的整车系统在相同条件下进行仿真并通过试验加以验证,结果表明,叉车整车系统结构修改以后,其基频及座椅振动频率降低,振动能量减小,研究结论对叉车的整车开发或部件的振动性能优化具有一定的实用价值。

关键词：叉车刚柔耦合振动特性有限元法

轨道连接处缺陷对起重机运行冲击系数及疲劳剩余寿命的影响

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机械工程学报 2020年第14期56卷 254-264页

作者：辛运胜董青徐格宁太原科技大学机械工程学院太原030024

为了分析起重机运行过程中轨道连接处缺陷对金属结构冲击系数的影响,通过正、余弦函数分别模拟高低缺陷和间隙缺陷所引起的不平度,并提出起重机越过轨道缺陷过程的动力学模型。理论推导起重机通过轨道连接处高低缺陷和间隙缺陷时的运行... 详细信息

为了分析起重机运行过程中轨道连接处缺陷对金属结构冲击系数的影响,通过正、余弦函数分别模拟高低缺陷和间隙缺陷所引起的不平度,并提出起重机越过轨道缺陷过程的动力学模型。理论推导起重机通过轨道连接处高低缺陷和间隙缺陷时的运行冲击系数方程,并将其与GB/T3811:2008和ISO8686—1:2012中方法进行形式和结果的比较,从而证明理论推导结果的正确性。基于起重机车轮尺寸及两种轨道缺陷不平度函数,分析轨道连接处高低缺陷和间隙缺陷发生耦合作用的临界条件,结果表明高低缺陷在冲击过程中起主要作用,二者同时存在时可忽略间隙缺陷影响。通过试验测试满载工况下无轨道缺陷和7mm高低缺陷时主梁最危险点的应变时间历程,并计算危险点的最大应力;将理论推导的运行冲击系数应用到有限元模型中,计算在无轨道缺陷和7mm轨道高低缺陷时对应测点的最大应力值,有限元分析结果与试验测试相对误差为2.63%,从而通过工程试验验证运行冲击系数理论推导的正确性。分析轨道缺陷对起重机剩余寿命的影响发现,起重机的临界裂纹长度、疲劳剩余寿命均随着轨道高低缺陷增大而减小,而影响度随着轨道缺陷增大而增大,轨道高低缺陷增大会使运行冲击系数增大且导致起重机主梁剩余寿命降低。

关键词：起重机运行冲击系数轨道连接处缺陷试验验证剩余寿命