2004Publication of: Society of Automotive EngineersRequires access

CRASH SENSING AND ALGORITHM DEVELOPMENT FOR FRONTAL AIRBAG SYSTEMS USING CAE METHODS AND MECHANICAL TESTS. IN: CAE METHODS FOR VEHICLE CRASHWORTHINESS AND OCCUPANT SAFETY, AND SAFETY-CRITICAL SYSTEMS

Bengt Pipkorn

Open publisher page 2 citations

Abstract

Mathematical models in combination with mechanical tests were used to develop a frontal crash sensing system and algorithm. The required sensor closure time for the initiation of driver side airbag deployment was estimated by means of multi-body dynamic occupant models. The crash sensing system and algorithm were developed using predictions from a finite element model of the front structure of a passenger vehicle. All models were validated by mechanical tests. Generally good agreement was obtained from the model predictions and results from the mechanical tests.

About this research paper

What this paper is about

Mathematical models in combination with mechanical tests were used to develop a frontal crash sensing system and algorithm. The required sensor closure time for the initiation of driver side airbag deployment was estimated by means of multi-body dynamic occupant models. The crash sensing system and algorithm were developed using predictions from a finite element model of the front structure of a passenger vehicle. All models were validated by mechanical tests. Generally good agreement was obtained from the model predictions and results from the mechanical tests.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Mathematical models in combination with mechanical tests were used to develop a frontal crash sensing system and algorithm. The required sensor closure time for the initiation of driver side airbag deployment was estimated by means of multi-body dynamic occupant models. The crash sensing system and algorithm were developed using predictions from a finite element model of the front structure of a passenger vehicle. All models were validated by mechanical tests. Generally good agreement was obtained from the model predictions and results from the mechanical tests.

Key concepts: Airbag, Crashworthiness, Crash, Finite element method, Crash test, Engineering, Vehicle safety, Automotive engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
CRASH SENSING AND ALGORITHM DEVELOPMENT FOR FRONTAL AIRBAG SYSTEMS USING CAE METHODS AND MECHANICAL TESTS. IN: CAE METHODS FOR VEHICLE CRASHWORTHINESS AND OCCUPANT SAFETY, AND SAFETY-CRITICAL SYSTEMS — Research Paper | ScholarLens