Simulation Optimization of the Crashworthiness of a Passenger Vehicle in Frontal Collisions using Response Surface Methodology

White, K. Preston; Gabler, Hampton C.; Pilkey, Walter D.; Hollowell, William T.

doi:10.4271/850512

Cited by 18 publications

(5 citation statements)

References 5 publications

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“…For example, Mason et al 3 used response surfaces for a single discipline optimization problem where it was difficult to connect the analysis and optimization codes. Tai et al 4 , Giunta et al 5 , Brown and Nachlas 6 and White et al 7 used response surfaces to satisfy the organizational challenge posed by multidisciplinary optimization, while Mistree et al 8 made extensive use of the fact that response surfaces provide the designer with an overall view of the design space. Also, Van Houten et al 9 showed that response surface methodology is a valuable tool for optimization problems where the designer has to work with functions with non-smooth functional behavior.…”

Section: Introductionmentioning

confidence: 99%

Construction of response surfaces for design optimization applications

Venter

Haftka

Starnes

1996

6th Symposium on Multidisciplinary Analysis and Optimization

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Section: Introductionmentioning

confidence: 99%

Construction of response surfaces for design optimization applications

Venter

Haftka

Starnes

1996

6th Symposium on Multidisciplinary Analysis and Optimization

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“…K. Preston White et al describe in [4] recent enhancements to a program which enables the use of vehicle and occupant simulation models to determine the design and restraint systems in order to increase the occupant collision protection, also encompassing an integrated application used to establish the optimal design of a passenger vehicle involved in frontal collisions.…”

Section: Introductionmentioning

confidence: 99%

Modeling The Frontal Collison In Vehicles And Determining The Degree Of Injury On The Driver

Oţăt

2015

ACTA Universitatis Cibiniensis

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The present research study aims at analysing the kinematic and the dynamic behaviour of the vehicle's driver in a frontal collision. Hence, a subsequent objective of the research paper is to establish the degree of injury suffered by the driver. Therefore, in order to achieve the objectives set, first, we had to define the type of the dummy placed in the position of the driver, and then to design the three-element assembly, i.e. the chair-steering wheel-dashboard assembly. Based on this model, the following step focused on the positioning of the dummy, which has also integrated the defining of the contacts between the components of the dummy and the seat elements. Seeking to model such a behaviour that would highly accurately reflect the driver's movements in a frontal collision, passive safety systems have also been defined and simulated, namely the seatbelt and the frontal airbag.

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“…During 1975-78, the Ford Motor Company developed the Safety Systems Optimization Model (Ford Motor Co., 1978), featuring a simulation-optimization program for maximizing a single vehicle's safety performance in frontal crashes. The same program was substantially modified by the University of Virginia in the early 1980s (White, et al, 1985), to include new biomechanical transforms and updated accident data as well as multivariate analysis capability. This model utilized approximating functions to estimate relationships between crash variables due to limitations in computational power at the time.…”

Section: Introductionmentioning

confidence: 99%

A Systems Modeling Methodology for Evaluation of Vehicle Aggressivity in the Automotive Accident Environment

Kuchar

Neat

Greif

2001

SAE Technical Paper Series

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A systems modeling approach is presented for assessment of harm in the automotive accident environment. The methodology is presented in general form and then applied to evaluate vehicle aggressivity in frontal crashes. The methodology consists of parametric simulation of several controlled accident variables, with case results weighted by the relative frequency of each specific event. A hierarchy of models is proposed, consisting of a statistical model to define the accident environment and assign weighting factors for each crash situation case, and vehicle and occupant models for kinematic simulation of crash events. Head and chest injury results obtained from simulation are converted to harm vectors, in terms of probabilistic Abbreviated Injury Scale (AIS) distributions based on previously defined risk analyses. These harm vectors are weighted by each case's probability as defined by the statistical model, and summed to obtain a total estimate of harm for the accident environment. The methodology is applied to a subset accident environment consisting of single-and two-vehicle frontal collisions among passenger cars and light trucks. The model is validated against recent crash statistics, and is found to accurately reflect trends in distribution of injury severity while slightly underestimating moderate to severe injuries. The model is subsequently exercised for variable sensitivity analyses, wherein the effects of light truck/car population mix are evaluated in terms of their impact on occupant harm within the subset accident environment.

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Simulation Optimization of the Crashworthiness of a Passenger Vehicle in Frontal Collisions using Response Surface Methodology

Cited by 18 publications

References 5 publications

Construction of response surfaces for design optimization applications

Construction of response surfaces for design optimization applications

Modeling The Frontal Collison In Vehicles And Determining The Degree Of Injury On The Driver

A Systems Modeling Methodology for Evaluation of Vehicle Aggressivity in the Automotive Accident Environment

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