Vehicle Development for Frontal/Offset Crash Using Lumped Parameter Modeling

Cheva, Wichai; Yasuki, Tsuyoshi; Gupta, Vikas; Mendis, K

doi:10.4271/960437

Cited by 16 publications

(17 citation statements)

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“…Mahmood et al [8] described in detail a procedure for rapid simulation and design of the frame of an automotive structure and Cheva et al [9] used lumped mass models for frontal/offset crash studies. MB models have also been used successfully in the crash simulation and validated with experimental results [10,11].…”

Section: Crashworthiness Simulation With the Mb Approachmentioning

confidence: 99%

Analysis of the coach rollover scenario

Belingardi

Martella

Peroni

2006

Vehicle System Dynamics

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A multibody model describing the behaviour of an M3 class coach in a rollover was developed. The model was validated by comparing the numerical results with the results of experimental rollover tests performed within the enhanced coach and bus occupant safety project. Through such numerical model, the approval tests, stated in the ECE66 regulation, were analyzed in depth. The simulations showed that the presence of passengers onboard, not taken into account in the regulation, considerably affects the deformation of the structure. The calculations showed as well that such influence on the deformation of the structure is strongly dependent on the passenger restraint configuration. The injury risk for passengers of coaches in a rollover accident was evaluated through the use of the mathematical model of crash test dummies. The simulations showed that the use of safety belts considerably reduce the injury risk.

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Section: Crashworthiness Simulation With the Mb Approachmentioning

confidence: 99%

Analysis of the coach rollover scenario

Belingardi

Martella

Peroni

2006

Vehicle System Dynamics

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“…Using the system, barrier loads and passenger compartment loads were calculated and compared to the test results in a frontal crash. Cheva et al (1996) have also used lumped mass models for frontal/offset crash studies. They also used design of experiments approach to perform parameter optimization for crash environment.…”

Section: Crashworthiness Analysismentioning

confidence: 99%

Development of simplified models for design and optimization of automotive structures for crashworthiness

Kim¹,

Mijar²,

Arora³

2001

Struct Multidisc Optim

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Simplified models can be useful for up-front design of automotive structures for passenger safety during crash. Formulations based on the system identification approach are presented for development of simplified models for simulation and design for automotive crash environment. Numerical crash data available from experiments or simulations are used in the development of such models. Parametric as well as nonparametric formulations of the problem are investigated. Standard nonlinear programming optimality conditions and methods are used to solve the resulting nonlinear identification problem. Simple numerical examples are solved to illustrate the proposed formulations and methodologies. As a practical example, the front horn of an automotive structure is replaced by a single degree of freedom system (SDOF). Two basis functions that identify the given target data are studied: Hat functions (piecewise linear) and Chebyshev polynomials. Effects of the number of design variables on the final solution to the problem are investigated. In addition, using the identified SDOF model, redesign of the front horn to improve its performance is discussed.

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“…This model was designed while considering the load displacement properties of springs for obtaining best consistency of accelerations, its peak and crash scheduling. Cheva et al [3] presented one-dimensional LPMs. They used simulations of finite elements for determining spring properties.…”

Section: Introductionmentioning

confidence: 98%

Calculation of vehicle-lumped model parameters considering occupant deceleration in frontal crash

Marzbanrad¹,

Pahlavani²

2011

International Journal of Crashworthiness

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In this study, two types of lumped parameter models (LPMs) are introduced for a vehicle to study frontal crash. A fourdegree-of-freedom (DOF) LPM Hybrid (LH) model is proposed and analysed as a full car model during crash status, which is compared with a serial 4-DOF model. In addition, a 5-DOF LH model is proposed and compared with a serial 5-DOF model. In this investigation, two parameters, including spring and damper coefficients, have been determined so that the proposed models have similar deceleration with the experimental data. These determined parameters have been calculated on the basis of difference minimisation between simulated and experimental results as occurred for occupants in the frontal crash. A genetic algorithm (GA) is implemented for defining a value function to optimise parameters. In other words, the GA is used for system identification to determine the spring and damper parameters for LPMs. Absolute decelerations along with their frequencies due to external load excitation are also studied here.

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Vehicle Development for Frontal/Offset Crash Using Lumped Parameter Modeling

Cited by 16 publications

References 0 publications

Analysis of the coach rollover scenario

Analysis of the coach rollover scenario

Development of simplified models for design and optimization of automotive structures for crashworthiness

Calculation of vehicle-lumped model parameters considering occupant deceleration in frontal crash

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