FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W10079458> ?p ?o ?g. }

• W10079458 abstract "Vehicles moving on rough surfaces are subject to inputs which may be conveniently regarded as a combination of deterministic and random processes. Although this general problem is briefly addressed, it is the latter class of inputs which is of concern in the present work. In general, the random component of the excitation is `perceived' by the vehicle as a non-stationary random process, due either to inhomogeneity (spatial non-stationarity) in the surface roughness, or to variations in the vehicle velocity, or both. Analysis of the response of vehicles to such processes is further complicated by the multiple degree of freedom nature of the problem and by inherent non-linearity in vehicle dynamic systems, rendering exact statistical analysis of such systems analytically intractable, and thus requiring numerical simulation which is a costly alternative. A unified, analytical approach to this problem is presented here combining the techniques of linear systems theory and the approximate method known as statistical linearization, to facilitate the approximate analysis of non-linear systems excited by non-stationary random processes. The basis of the method is the use of a `shaping filter' description for the ground roughness, i.e., the height profile is represented as the output of a white noise excited, linear filter in the spatial domain (extensive justification of this assumption is presented). The key to the present work is the linking of the space domain filter with a state-space model for the vehicle dynamics by a formal change of variable, i.e., space is regarded as a function of time, related via the (variable) velocity function. This yields a time variable filter formulation for the excitation process which may then be coupled into the dynamic equations. After some further manipulations (using results from the theory of generalisation functions) differential equations may be constructed for the propagation of the mean vector and zero-lag auto-covariance matrix. For linear systems these results are exact and have been extended to the multiple input (multiple wheel) case. This extension presents no conceptual difficulty although it is computationally considerably more involved. For non-linear dynamic systems the method of statistical linearization is adopted so that the above method of obtaining means and covariances applies. This technique is essentially the replacement of the true non-linear element by a linear one such that their output differences is in some way minimised. This results in linear coefficients depending on the instantaneous mean and variance of response, just those quantities calculated by the above method and so a coupled set of non-linear, deterministic differential equations are obtained, governing the propagation of the approximate means and covariances of response. In order to validate results obtained by this method, in the absence of analytical solutions, extensive use is made of Monte-Carlo simulation. A fundamental concept arising as a result of the formulation is that of the `covariance equivalence' of two random processes. This enables the frequency-time (evolutionary) spectral analysis of random processes having a `frequency modulated' structure, a task which was hitherto not possible. This concept has also found application in the field of acoustics in the study of moving noise sources." @default.
• W10079458 created "2016-06-24" @default.
• W10079458 creator A5042852708 @default.
• W10079458 date "1983-09-01" @default.
• W10079458 modified "2023-09-23" @default.
• W10079458 title "The non-stationary response of vehicles on rough ground" @default.
• W10079458 hasPublicationYear "1983" @default.
• W10079458 type Work @default.
• W10079458 sameAs 10079458 @default.
• W10079458 citedByCount "4" @default.
• W10079458 crossrefType "dissertation" @default.
• W10079458 hasAuthorship W10079458A5042852708 @default.
• W10079458 hasConcept C105795698 @default.
• W10079458 hasConcept C106131492 @default.
• W10079458 hasConcept C11210021 @default.
• W10079458 hasConcept C112633086 @default.
• W10079458 hasConcept C121332964 @default.
• W10079458 hasConcept C126255220 @default.
• W10079458 hasConcept C134306372 @default.
• W10079458 hasConcept C139722471 @default.
• W10079458 hasConcept C154945302 @default.
• W10079458 hasConcept C158622935 @default.
• W10079458 hasConcept C205711294 @default.
• W10079458 hasConcept C2775924081 @default.
• W10079458 hasConcept C28826006 @default.
• W10079458 hasConcept C31972630 @default.
• W10079458 hasConcept C33923547 @default.
• W10079458 hasConcept C41008148 @default.
• W10079458 hasConcept C47446073 @default.
• W10079458 hasConcept C5917680 @default.
• W10079458 hasConcept C62520636 @default.
• W10079458 hasConcept C6802819 @default.
• W10079458 hasConcept C8272713 @default.
• W10079458 hasConceptScore W10079458C105795698 @default.
• W10079458 hasConceptScore W10079458C106131492 @default.
• W10079458 hasConceptScore W10079458C11210021 @default.
• W10079458 hasConceptScore W10079458C112633086 @default.
• W10079458 hasConceptScore W10079458C121332964 @default.
• W10079458 hasConceptScore W10079458C126255220 @default.
• W10079458 hasConceptScore W10079458C134306372 @default.
• W10079458 hasConceptScore W10079458C139722471 @default.
• W10079458 hasConceptScore W10079458C154945302 @default.
• W10079458 hasConceptScore W10079458C158622935 @default.
• W10079458 hasConceptScore W10079458C205711294 @default.
• W10079458 hasConceptScore W10079458C2775924081 @default.
• W10079458 hasConceptScore W10079458C28826006 @default.
• W10079458 hasConceptScore W10079458C31972630 @default.
• W10079458 hasConceptScore W10079458C33923547 @default.
• W10079458 hasConceptScore W10079458C41008148 @default.
• W10079458 hasConceptScore W10079458C47446073 @default.
• W10079458 hasConceptScore W10079458C5917680 @default.
• W10079458 hasConceptScore W10079458C62520636 @default.
• W10079458 hasConceptScore W10079458C6802819 @default.
• W10079458 hasConceptScore W10079458C8272713 @default.
• W10079458 hasLocation W100794581 @default.
• W10079458 hasOpenAccess W10079458 @default.
• W10079458 hasPrimaryLocation W100794581 @default.
• W10079458 hasRelatedWork W115778554 @default.
• W10079458 hasRelatedWork W1505730938 @default.
• W10079458 hasRelatedWork W1972964658 @default.
• W10079458 hasRelatedWork W1994944213 @default.
• W10079458 hasRelatedWork W2015871325 @default.
• W10079458 hasRelatedWork W2157499834 @default.
• W10079458 hasRelatedWork W2328498459 @default.
• W10079458 hasRelatedWork W2331253513 @default.
• W10079458 hasRelatedWork W2526889281 @default.
• W10079458 hasRelatedWork W2665077833 @default.
• W10079458 hasRelatedWork W2696857431 @default.
• W10079458 hasRelatedWork W2785921749 @default.
• W10079458 hasRelatedWork W2791465932 @default.
• W10079458 hasRelatedWork W2890331032 @default.
• W10079458 hasRelatedWork W2903057625 @default.
• W10079458 hasRelatedWork W2904008612 @default.
• W10079458 hasRelatedWork W2937111165 @default.
• W10079458 hasRelatedWork W3138877378 @default.
• W10079458 hasRelatedWork W3154833809 @default.
• W10079458 hasRelatedWork W54832806 @default.
• W10079458 isParatext "false" @default.
• W10079458 isRetracted "false" @default.
• W10079458 magId "10079458" @default.
• W10079458 workType "dissertation" @default.