Response statistics of stochastic built-up structures
Response statistics of stochastic built-up structures
Collections of essentially identical manufactured built-up structures display natural variations in their response. These variations arise from many sources including variability in the manufacturing process, variations in the response measurement process and environmental variations. Current techniques for response prediction focus on estimating the response of an ’ideal’ or nominal realisation of the structure. Further understanding is required into the statistics of the response of collections of mass produced structures. An appreciation of the distribution of response enables a cost effective design process with improved knowledge of worst-case behaviour and failure modes. Relevant measures include mean and variance, together with their statistical distributions. This paper considers response statistics in various situations. First, an idealised situation is considered and possible methods of analysis discussed. Then some existing measured response data from industrial products is examined. The availability of such data is extremely limited. Various statistical distributions are fitted to the data and compared using chi-squared tests.
Noise engineering, Vibration engineering, ISMA
9073802822
3273-3286
Hills, Esther
9e030922-1535-4a5f-880e-9eb03956798d
Mace, Brian R.
cfb883c3-2211-4f3a-b7f3-d5beb9baaefe
Ferguson, Neil S.
8cb67e30-48e2-491c-9390-d444fa786ac8
2004
Hills, Esther
9e030922-1535-4a5f-880e-9eb03956798d
Mace, Brian R.
cfb883c3-2211-4f3a-b7f3-d5beb9baaefe
Ferguson, Neil S.
8cb67e30-48e2-491c-9390-d444fa786ac8
Hills, Esther, Mace, Brian R. and Ferguson, Neil S.
(2004)
Response statistics of stochastic built-up structures.
In Proceedings of ISMA.
ISMA.
.
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Conference or Workshop Item
(Paper)
Abstract
Collections of essentially identical manufactured built-up structures display natural variations in their response. These variations arise from many sources including variability in the manufacturing process, variations in the response measurement process and environmental variations. Current techniques for response prediction focus on estimating the response of an ’ideal’ or nominal realisation of the structure. Further understanding is required into the statistics of the response of collections of mass produced structures. An appreciation of the distribution of response enables a cost effective design process with improved knowledge of worst-case behaviour and failure modes. Relevant measures include mean and variance, together with their statistical distributions. This paper considers response statistics in various situations. First, an idealised situation is considered and possible methods of analysis discussed. Then some existing measured response data from industrial products is examined. The availability of such data is extremely limited. Various statistical distributions are fitted to the data and compared using chi-squared tests.
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Published date: 2004
Additional Information:
Variability - VAR1 (ID192)
Venue - Dates:
ISMA 2004 International Conference on Noise and Vibration Engineering, Leuven, Belgium, 2004-09-20 - 2004-09-22
Keywords:
Noise engineering, Vibration engineering, ISMA
Identifiers
Local EPrints ID: 28126
URI: http://eprints.soton.ac.uk/id/eprint/28126
ISBN: 9073802822
PURE UUID: 407e088b-e5c9-4196-b85a-11b90cd68052
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Date deposited: 02 May 2006
Last modified: 08 Mar 2024 02:32
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Author:
Esther Hills
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