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Chinese Journal of Mechanical Engineering 2021年第3期34卷 317-335页

作者： Buyang Zhang Ting Xu Hong Wang Yanjun Huang Guoying Chen Jihua laboratory Foshan 528200GuangdongChina State Key laboratory of automotive simulation and Control Jilin UniversityChangchun 130022China Tsinghua Intelligent Vehicle design and Safety research Institute Tsinghua UniversityBeijing 100084China Department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooCanada.

Vertical tire forces are essential for vehicle modelling and dynamic ***,an evaluation of the vertical tire forces on a multi-axle truck is difficult to *** current methods require a large amount of experimental data and many sensors owing to the wide variation of the parameters and the *** simplify the design process and reduce the demand of the sensors,this paper presents a practical approach to estimating the vertical tire forces of a multi-axle truck for dynamic *** estimation system is based on a novel vertical force model and a proposed adaptive treble extend Kalman filter(ATEKF).To adapt to the widely varying parameters,a sliding mode update is designed to make the ATEKF adaptive,and together with the use of an initial setting update and a vertical tire force adjustment,the overall system becomes more *** particular,the model aims to eliminate the effects of the over-constraint and the uneven weight *** results show that the ATEKF method achieves an excellent performance in a vertical force evaluation,and its performance is better than that of the treble extend Kalman filter.

关键词： Estimation theory Adaptive treble extend Kalman filter Vehicle dynamics Multi-axle truck Vertical tire force estimation

Multi-objective Collaborative Optimization for the Lightweight design of an Electric Bus Body Frame

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automotive Innovation 2020年第3期3卷 250-259页

作者： Dengfeng Wang Chong Xie Yuchang Liu Wenchao Xu Qi Chen State Key laboratory of automotive simulation and Control Jilin UniversityChangchunChina FAW-Volkswagen automotive Co Ltd ChangchunChina

To analyze the rollover safety,finite element models were established for the electric bus body frame,rollover simulation platform,living space,and bus *** strength and stiffness of the body frame were calculated under four typical work-ing conditions considering the main low-order elastic modal *** results indicate that the initial body frame of the electric bus satisfies the required structural strength,stiffness,modes,and rollover safety,and it has great potential for lightweight *** and structural contribution analyses were performed to determine the design variables for lightweight optimization of the body frame,and a mathematical model was established for multi-objective collaborative optimization design of the electric ***,the radial basis function neural network was used to approximate the optimiza-tion ***,the accuracy of the approximate model was verified,and the non-dominated sorting genetic algorithm II was employed to determine solutions for the lightweight *** with the initial model,the mass of the optimized model is reduced by 240 kg(9.0%)without any changes in the materials of the body frame.

关键词： Electric bus Body frame Lightweight optimization Structural contribution analysis Multi-objective collaborative optimization

Optimization of gearshift MAP based on DP for vehicles with automated transmission

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Science China(Information Sciences) 2018年第11期61卷 247-249页

作者： Xiaohui LU Zhe LI Lulu GUO Bingzhao GAO Niaona ZHANG Chuanxue SONG School of Mechatronic Engineering Changchun University of Technology State Key laboratory of automotive simulation and Control Jilin University

Dear editor,The gearshift system is the key part of an automatic transmission vehicle that optimizes power and economy. An accurate and reasonable shift schedule has a significant theoretical and practical meaning for improving both dynamic and economic performances because it defines the control parameters used for the gearshift decision making and shift timing [1–3]. One gearshift strategy is to establish an optimal control problem to improve the overall performance. In the face of

关键词： DP Optimization of gearshift MAP based on DP for vehicles with automated transmission Figure AMESim

An adaptive reanalysis method for genetic algorithm with application to fast truss optimization

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Acta Mechanica Sinica 2010年第2期26卷 225-234页

作者： Tao Xu Wenjie Zuo Tianshuang Xu Guangcai Song Ruichuan Li State Key laboratory of automotive Dynamic simulation Jilin University 130025 Changchun China Department of Mechanics Jilin University 130025 Changchun China

Although the genetic algorithm （GA） for structural optimization is very robust, it is very computationally intensive and hence slower than optimality criteria and mathematical programming methods. To speed up the design process, the authors present an adaptive reanalysis method for GA and its applications in the optimal design of trusses. This reanalysis technique is primarily derived from the Kirsch＇s combined approximations method. An iteration scheme is adopted to adaptively determine the number of basis vectors at every generation. In order to illustrate this method, three classical examples of optimal truss design are used to validate the proposed reanalysis-based design procedure. The presented numerical results demonstrate that the adaptive reanalysis technique affects very slightly the accuracy of the optimal solutions and does accelerate the design process, especially for large-scale structures.

关键词： Truss structure Adaptive reanalysis ·Genetic algorithm ·Fast optimization

3-D Fracture Network Modelling in Hydropower Engineering Based on optimal Monte Carlo simulation

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Transactions of Tianjin University 2017年第4期23卷 351-359页

作者： Pan Yue Denghua Zhong Fugen Yan Han Wu Yichi Zhang State Key laboratory of Hydraulic Engineering simulation and Safety School of Civil EngineeringTianjin University Changjiang Institute of Survey PlanningDesign and Research

Effectively and accurately modelling the spatial relation of fracture surfaces is crucial in the design and construction of large hydropower dams having a complex underlying geology. However, fracture surfaces are randomly formed and vary greatly with respect to their spatial distribution, which makes the construction of accurate 3-D models challenging. In this study, we use an optimal Monte Carlo simulation and dynamic conditioning to construct a fracture network model. We found the optimal Monte Carlo simulation to effectively reduce the error associated with the Monte Carlo method and use dynamic conditioning to ensure the consistency of the model with the actual distribution of fractures on the excavation faces and outcrops. We applied this novel approach to a hydropower station on the Jinshajiang River, China. The simulation results matched the real sampled values well, confirming that the model is capable of effectively and accurately simulating the spatial relations in a fracture network. © 2017, Tianjin University and Springer-Verlag Berlin Heidelberg.

关键词： Fracture Hydroelectric power Hydroelectric power plants Intelligent systems Underground structures

Effects of Rectangular Wing Vortex Generators on the Thermal-Hydraulic Performance of Louvered Fin and Flat Tube Heat Exchanger

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Journal of Thermal Science 2023年第2期32卷 628-642页

作者： ZHANG Jinglong HU Xingjun LUO Yufei HUI Zheng WANG Jingyu YU Tianming State Key laboratory of automotive simulation and Control Jilin UniversityChangchun 130022China Automobile research Institute of China Heavy Duty Automobile Group Co.Ltd. Ji'nan 250031China

In this paper,a novel composite heat transfer enhancement technique comprised of louvered fins(LFs)and rectangular wing vortex generators(RWVGs)is proposed to improve the LF side thermal-hydraulic performance of louvered fin and flat tube heat exchangers(LFHEs).After validation of the LF side pressure dropΔP and heat transfer coefficient hLFof the baseline by experiments,the numerical method is applied to investigate the influential mechanisms of the RWVG parameters(the number N(7 to 15),attack angleβ(30°to 90°),height H_(VG)(0.8 mm to 2 mm)and width W_(VG)(0.8 mm to 1.2 mm))on the performance of the LFHE in the velocity range of 3 m/s to 10 m/*** show that thermal-hydraulic performance of the LFHE is significantly impacted by the RWVGs,and according to the performance evaluation criteria(PEC),the LFHE achieves its optimal thermal-hydraulic performance when N=7,β=45°,H_(VG)=1.8 mm and W_(VG)=1 *** to the baseline,the maximum,minimum and average increments of PEC for the optimal case are 13.85%,4.67%and 8.39%,respectively.

关键词： composite heat transfer enhancement louvered fin rectangular wing vortex generator numerical simulations thermal-hydraulic performance

Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

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Nano research 2025年第1期18卷 186-194页

作者： Dongxu Jiao Xinyi Li Mingzi Sun Lin Liu Jinchang Fan Jingxiang Zhao Bolong Huang Xiaoqiang Cui State Key laboratory of automotive simulation and Control School of Materials Science and Engineeringand Key Laboratory of Automobile Materials of MOEJilin UniversityChangchun 130012China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina College of Chemistry and Chemical Engineering and Key Laboratory of Photonic and Electronic Bandgap MaterialsMinistry of EducationHarbin Normal UniversityHarbin 150025China

The development of high-performance atomiccatalysts for the carbon dioxide reduction reaction(CO_(2)RR)is atime-consuming process due to the complexity of the reactionmechanism and the uncertainty of the active ***,wehave proposed combining density functional theory(DFT)andmachine learning(ML)to investigate the potential of topologicalgraphene-based dual-atom catalysts(DACs)as CO_(2)*** analyzing the ML results,we identify thenumber of d-orbital electrons in the active site as a key factorinfluencing the CO_(2)RR catalytic ***,wepropose a simple descriptor to measure the CO_(2)RR activity ofthese *** findings provide plausible explanations for thesynergistic interactions between bimetallic atoms in CO_(2)RR andallow us to screen the homogeneous Ni-Ni pair as the mostpromising dual-atom *** work offers a fast MLapproach based on limited DFT calculations to predict the mostelectroactive and stable DACs on carbon support for CO_(2)RR,facilitating rapid screening of high-performance dual-atomcatalysts.

关键词： CO_(2)reaction reduction dual-atom catalysts density functional theory machine learning

Crashworthiness Optimization design of Thin-Walled Tube Filled with Re-entrant Triangles Honeycombs

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automotive Innovation 2019年第1期2卷 1-13页

作者： Fangwu Ma Ying Zhao Guowang Wang Liang Wu Yongfeng Pu State Key laboratory of automotive simulation and Control Jilin University5988Renmin Ave.Changchun 130025China

A novel re-entrant triangles-filled tube(RTT)is proposed through decoupling structural stiffness and energy *** re-entrant triangles are employed to satisfy energy absorption,and outer thin wall is used to acquire high *** paper starts from establishment of theoretical models between geometric parameters of re-entrant triangles and relative density,equivalent elastic modulus and energy absorption characteristics,which are validated by *** this basis,the optimal geometric parameters of unit cell are sought to maximize unit volume energy absorption and minimize relative density by adopting NSGA-II ***,the cross-section of tube with optimal stiffness is obtained with targets for maximizing axial stiffness and lateral stiffness by employing static topology optimization *** verify the proposed optimization method,RTT is analyzed and compared with positive Poisson’s ratio foam-filled tube(PFT),non-filled traditionally optimized tube(NTT)and pre-optimized square tube(PST).The results show that the novel RTT can improve stiffness and energy absorption performance *** with the positive Poisson’s ratio material,re-entrant triangles honeycomb shows superior advantages in energy *** comparison with the PFT,energy absorption of the RTT increases by 17.23%,and the peak crush force reduces by 5.04%.Therefore,the proposed decoupling design method demonstrates superiority in satisfying various performance requirements simultaneously.

关键词： Thin-walled tube Re-entrant triangles honeycomb Multi-objective optimization Energy absorption Structural stiffness

simulation of the Interaction between Driver and Seat

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Chinese Journal of Mechanical Engineering 2013年第6期26卷 1234-1242页

作者： DU Xiaoming REN Jindong SANG Chunlei LI Lemeng Technical Development Department Faw-Volkswagen Automotive Co. Ltd. State Key Lab of automotive Dynamic simulation Jilin University

Test is one of methods to acquire human-seat pressure distribution in driving, with the deficiency of being uneasy to obtain the stress information of soft tissue inside human body and the sheer force of interface between human and seat, which can be obtained by simulation. But current simulation method focuses mainly on calculation itself other than combining it with posture prediction and cab packaging parameters, which cause it difficult to acquire accurate pressure calculation results without accurate posture of human body, and make it almost meaningless to design optimization. Therefore, a human body geometric model with posture change capability is built and linked up with Cascade Prediction Model（CPM）, which takes cab packaging parameters as inputs. A detailed finite element model of driver human body is constructed and used to conduct the driver-seat interaction simulation between human body and seat. Good accordance of pressure distribution is observed between simulation and test, which validates the simulation. In addition to the distribution pattern, curves on key sections are used to analyze the pressure and shear stress on the seat surface, as well as soft tissue stress inside human body. The simulation shows that the maximum stress of buttocks locates under the ischial tuberosity, and the maximum stress of trunk occurs near the scapula posterior and the lower waist. These are the places where fatigue usually occurs. The maximum pressure of seat appears at the driver-seat contact area corresponding to the driver＇s maximum skin tissue stress. In order to guide the seat design and cab packaging and study the influence of posture to pressure distribution, finite element models for different levels of cab packaging parameters are created by using CPM. The pressure distributions are calculated and their tendencies varying with cab packaging parameters are obtained. The method presented provides a new way to accurately simulate the interaction between driver

关键词： seating comfort pressure distribution posture prediction model packaging parameters