Search results for "Motor vehicle crash"

showing 10 items of 12 documents

2014

In this paper mathematical modeling of a vehicle crash test based on a single-mass is studied. The model under consideration consists of a single-mass coupled with a spring and/or a damper. The parameters for the spring and damper are obtained by analyzing the measured acceleration in the center of gravity of the vehicle during a crash. A model with a nonlinear spring and damper is also proposed and the parameters will be optimized with different damper and spring characteristics and optimization algorithms. The optimization algorithms used are interior-point and firefly algorithm. The objective of this paper is to compare different methods used to establish a simple model of a car crash an…

AccelerationNonlinear systemCenter of gravityControl theoryComputer scienceSpring (device)Applied MathematicsFirefly algorithmCrashDamperMotor vehicle crashJournal of Applied Mathematics
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Hair cortisol predicts avoidance behavior and depressiveness after first-time and single-event trauma exposure in motor vehicle crash victims

2020

The role of cortisol as a premorbid vulnerability factor for trauma sequelae remains unclear. Furthermore, the onset of long-term endocrine changes in response to first-time trauma as a function of later psychopathology is not clarified yet. Thus the predictive value of pre- and post-traumatic hair cortisol concentrations (HCCs) for psychological trauma sequelae was investigated in response to motor vehicle crash (MVC). A total of

medicine.medical_specialtyHydrocortisonePhysiologyEvent (relativity)Vulnerability factorStress Disorders Post-Traumatic03 medical and health sciencesBehavioral Neuroscience0302 clinical medicinePhysical medicine and rehabilitationAvoidance LearningHumansMedicineProspective StudiesEndocrine and Autonomic Systemsbusiness.industry030227 psychiatryMotor VehiclesPsychiatry and Mental healthNeuropsychology and Physiological PsychologyFemalesense organsbusinessStress Psychological030217 neurology & neurosurgeryMotor vehicle crashStress
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Mathematical models for assessment of vehicle crashworthiness: a review

2021

This article reviews approaches to mathematical modeling of a vehicle crash. The growing focus on vehicle and occupant safety in car crashes has triggered the need to study vehicle crashworthiness in the initial stages of vehicle development. The major motivation for this work is to support vehicle crashworthiness design during the product development process.The article is divided into two parts; the first one overviews existing mathematical models used to solve engineering problems. The second part describes modeling strategies applied for replicating non-linear vehicle crash event and occupant kinematics in an occupant protection loadcase. We also highlight alternative modeling strategie…

Focus (computing)Mathematical modelComputer scienceMechanical EngineeringCrashworthinessTransportationOccupant safetyIndustrial and Manufacturing EngineeringAutomotive engineeringMotor vehicle crashInternational Journal of Crashworthiness
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Driving habits and risk factors for traffic accidents among sleep apnea patients - a European multi-centre cohort study

2014

Obstructive sleep apnea is associated with increased motor vehicle accident risk, and improved detection of patients at risk is of importance. The present study addresses potential risk factors in the European Sleep Apnea Database and includes patients with suspected obstructive sleep apnea [n = 8476, age 51.5 (12.5) years, body mass index 31.0 (6.6) kg m(-2) , 82.4% driver's licence holders]. Driving distance (km year(-1) ), driver's licence type, sleep apnea severity, sleepiness and comorbidities were assessed. Previously validated risk factors for accident history: Epworth Sleepiness Scale ≥16; habitual sleep time ≤5 h; use of hypnotics; and driving ≥15 000 km year(-1) were analysed acro…

AdultMaleAutomobile DrivingPediatricsmedicine.medical_specialtyAdolescentDatabases FactualCognitive NeurosciencePoison controlSettore MED/10 - Malattie Dell'Apparato RespiratorioCohort StudiesYoung AdultBehavioral NeuroscienceRisk FactorsPrevalencedriving exposure hypersomnia motor vehicle crash registry sleepy driving traffic riskHumansMedicineAttentionRisk factorAgedAged 80 and overSleep Apnea Obstructivebusiness.industryEpworth Sleepiness ScaleAccidents TrafficSleep apneaApneaGeneral MedicineMiddle Agedmedicine.diseaseObesityEuropeObstructive sleep apneaFemaleMedical emergencymedicine.symptomSleepbusinessCohort studyJournal of Sleep Research
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A Novel Technique for Modeling Vehicle Crash using Lumped Parameter Models

2021

This paper presents a novel technique for modeling a full frontal vehicle crash. The crash event is divided into two phases; the first until maximum crush and the second part when the vehicle starts pitching forward. This novel technique will help develop a three degrees of freedom (DOF) lumped parameter model (LPM) for crash and support in the vehicle development process. The paper also highlights the design process for reducing vehicle pitching in occupant protection load cases. The model has been validated against a finite element (FE) simulation of a full frontal crash of a Chevrolet Silverado developed by the National Highway Traffic Safety Administration (NHTSA), and the LPM shows goo…

Novel techniqueComputer scienceVDP::Teknologi: 500::Maskinfag: 570SimulationMotor vehicle crash
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Investigation of vehicle crash modeling techniques: theory and application

2013

Published version of an article in the journal: The International Journal of Advanced Manufacturing Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s00170-013-5320-3 Creating a mathematical model of a vehicle crash is a task which involves considerations and analysis of different areas which need to be addressed because of the mathematical complexity of a crash event representation. Therefore, to simplify the analysis and enhance the modeling process, in this work, a brief overview of different vehicle crash modeling methodologies is proposed. The acceleration of a colliding vehicle is measured in its center of gravity—this crash pulse contains detailed informati…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Feedforward neural network; Lumped parameter models; Multiresolution analysis; Vehicle crash modeling; Control and Systems Engineering; Software; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Industrial and Manufacturing EngineeringEvent (computing)Computer scienceReliability (computer networking)Mechanical Engineeringvehicle crash modelingVDP::Technology: 500::Mechanical engineering: 570lumped parameter modelsCrashControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionCollisionIndustrial and Manufacturing EngineeringComputer Science Applicationsmultiresolution analysisAutoregressive modelControl and Systems Engineeringfeedforward neural networkRepresentation (mathematics)SimulationSoftwareMotor vehicle crash
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Erratum to “A fuzzy logic approach to modeling a vehicle crash test” by W. Pawlus, H. Reza, K. G. Robbersmyr

2013

Abstract The original version of the article was published in Central European Journal of Engineering 3, 67–79 (2013), DOI: 10.2478/s13531-012-0032-2. Unfortunately, the original version of this article contains a mistake in Figure 17. Here we display the corrected version of this figure.

EngineeringEnvironmental EngineeringMaterials processingbusiness.industryMechanical EngineeringAerospace EngineeringIndustrial chemistryMistakemodelingEngineering (General). Civil engineering (General)Fuzzy logicTest (assessment)General Materials ScienceArtificial intelligencevehicle crashfuzzy logicElectrical and Electronic EngineeringTA1-2040businessCivil and Structural EngineeringMotor vehicle crashOpen Engineering
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A Data-Based Approach for Modeling and Analysis of Vehicle Collision by LPV-ARMAX Models

2013

Published version of an article in the journal: Journal of Applied Mathematics. Also available from the publisher at: http://dx.doi.org/10.1155/2013/452391 Open Access Vehicle crash test is considered to be the most direct and common approach to assess the vehicle crashworthiness. However, it suffers from the drawbacks of high experiment cost and huge time consumption. Therefore, the establishment of a mathematical model of vehicle crash which can simplify the analysis process is significantly attractive. In this paper, we present the application of LPV-ARMAX model to simulate the car-to-pole collision with different initial impact velocities. The parameters of the LPV-ARMAX are assumed to …

Article SubjectComputer scienceApplied Mathematicslcsh:MathematicsProcess (computing)Collisionlcsh:QA1-939Set (abstract data type)Identification (information)High fidelityControl theoryCrashworthinessVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413Test dataMotor vehicle crashJournal of Applied Mathematics
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Application of Genetic Algorithm on Parameter Optimization of Three Vehicle Crash Scenarios

2017

Abstract This paper focuses on the development of mathematical models for vehicle frontal crashes. The models under consideration are threefold: a vehicle into barrier, vehicle-occupant and vehicle to vehicle frontal crashes. The first model is represented as a simple spring-mass-damper and the second case consists of a double-spring-mass-damper system, whereby the front mass and the rear mass represent the vehicle chassis and the occupant, respectively. The third model consists of a collision of two vehicles represented by two masses moving in opposite directions. The springs and dampers in the models are nonlinear piecewise functions of displacements and velocities respectively. More spec…

ChassisComputer scienceModeling010103 numerical & computational mathematics02 engineering and technologyCollision01 natural sciencesCrash testfrontal crashvehicle-occupantDamperNonlinear system020303 mechanical engineering & transports0203 mechanical engineeringControl theoryControl and Systems EngineeringGenetic algorithmparameters estimationgenetic algorithm0101 mathematicsSimulationfrontal crash; genetic algorithm; Modeling; parameters estimation; vehicle-occupant; Control and Systems EngineeringMotor vehicle crash
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Analysis of the Relationship between Energy Absorbing Components and Vehicle Crash Response

2016

Risk0209 industrial biotechnologyComputer science02 engineering and technologyPollutionAutomotive engineeringIndustrial and Manufacturing EngineeringAutomotive Engineering; Safety Risk Reliability and Quality; Pollution; Industrial and Manufacturing Engineering020901 industrial engineering & automationEnergy absorbingReliability and QualityAutomotive Engineering0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSafetyMotor vehicle crash
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