Treffer: Genetic algorithm-based optimum vehicle suspension design using minimum dynamic pavement load as a design criterion

Title:
Genetic algorithm-based optimum vehicle suspension design using minimum dynamic pavement load as a design criterion
Authors:
LU SUN, XIMING CAI, JUN YANG
Source:
Journal of sound and vibration. 301(1-2):18-27
Publisher Information:
London: Elsevier, 2007.
Publication Year:
2007
Physical Description:
print, 50 ref
Original Material:
INIST-CNRS
Subject Terms:
Civil engineering, Génie civil, Mechanical engineering, Génie mécanique, Mechanics acoustics, Mécanique et acoustique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Genie mecanique. Construction mecanique, Mechanical engineering. Machine design, Organes de machines, Machine components, Ressorts. Amortisseurs, Springs and dampers, Batiment. Travaux publics, Buildings. Public works, Infrastructure des transports, Transportation infrastructure, Construction routière. Chaussées. Entretien, Road construction. Pavements. Maintenance, Revêtements, Surfacing, Algorithme génétique, Genetic algorithm, Algoritmo genético, Amortisseur vibration, Vibration damper, Amortiguador vibración, Analyse sensibilité, Sensitivity analysis, Análisis sensibilidad, Automobile, Motor car, Automóvil, Charge dynamique, Dynamic load, Carga dinámica, Chaussée, Pavement, Calzada, Conception ingénierie, Engineering design, Concepción ingeniería, Critère conception, Design criterion, Criterio concepción, Fonction variable complexe, Complex variable function, Función variable compleja, Mesure, Measurement, Medida, Modélisation, Modeling, Modelización, Optimisation, Optimization, Optimización, Programmation non linéaire, Non linear programming, Programación no lineal, Suspension véhicule, Vehicle suspension, Suspensión vehículo, Système passif, Passive system, Sistema pasivo, Variance, Variancia, Vibration, Vibración
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Civil Engineering, The Catholic University of America, Washington, DC 20064, United States
Department of Civil and Environmental Engineering, The University of Illinois at, Urbana-Champaign, IL, United States
ISSN:
0022-460X
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18468884
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering

Mechanical engineering. Mechanical construction. Handling
Accession Number:
edscal.18468884
Database:
PASCAL Archive

Weitere Informationen

In this paper, the design of a passive vehicle suspension system was handled in the framework of nonlinear optimization. The variance of the dynamic load resulting from the vibrating vehicle operating at a constant speed was used as the performance measure of a suspension system. Using a quarter-car model, the performance measure was derived as an integration of a complex function of several variables. A genetic algorithm is applied to solve the nonlinear optimization problem. It was found from the sensitivity analysis that appropriate mutation rate, crossover rate and population size are 1.0%, 25% and 100, respectively. The optimum design parameters of the suspension systems obtained are ks = 622,180N/m, kt = 1,705,449 N/m and cs = 26,582 Ns/m, respectively.