Reliability-based experiment planning with linear regression models

I. B. Kroon; M. H. Faber; J. D. Sorensen

Reliability-based experiment planning with linear regression models

I. B. Kroon^*, M. H. Faber, J. D. Sorensen

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

In many applications experimental data are fitted to linear regression models. In fatigue analyses of offshore steel platforms fitted linear models are used both in the SN-approach and in the fracture mechanics approach. In this paper the problem of how to make optimal planning of experiments to be used in the linear regression models is considered. Optimal planning for a certain class of problems can be performed using preposterior analyses from Bayesian decision theory. It is shown how cost optimal reliability-based experiment plans can be obtained using First Order Reliability Methods. An illustrative example is shown.

Original language	English
Title of host publication	Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
Editors	Daniela Mercati, Alan Murray
Number of pages	8
Volume	2
Publisher	The American Society of Mechanical Engineers (ASME)
Publication date	1995
Pages	253-260
Publication status	Published - 1995
Externally published	Yes
Event	Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5) - Copenhagen, Den Duration: 18 Jun 1995 → 22 Jun 1995

Conference

Conference	Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5)
City	Copenhagen, Den
Period	18/06/1995 → 22/06/1995
Sponsor	ASME, TWI, Institution of Mechanical Engineers, UK, ASCE, ACI, et al.

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title = "Reliability-based experiment planning with linear regression models",

abstract = "In many applications experimental data are fitted to linear regression models. In fatigue analyses of offshore steel platforms fitted linear models are used both in the SN-approach and in the fracture mechanics approach. In this paper the problem of how to make optimal planning of experiments to be used in the linear regression models is considered. Optimal planning for a certain class of problems can be performed using preposterior analyses from Bayesian decision theory. It is shown how cost optimal reliability-based experiment plans can be obtained using First Order Reliability Methods. An illustrative example is shown.",

author = "Kroon, {I. B.} and Faber, {M. H.} and Sorensen, {J. D.}",

year = "1995",

language = "English",

volume = "2",

pages = "253--260",

editor = "Daniela Mercati and Alan Murray",

booktitle = "Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE",

publisher = "The American Society of Mechanical Engineers (ASME)",

address = "United States",

note = "Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5) ; Conference date: 18-06-1995 Through 22-06-1995",

}

Kroon, IB, Faber, MH & Sorensen, JD 1995, Reliability-based experiment planning with linear regression models. in D Mercati & A Murray (eds), Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE. vol. 2, The American Society of Mechanical Engineers (ASME), pp. 253-260, Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5), Copenhagen, Den, 18/06/1995.

Reliability-based experiment planning with linear regression models. / Kroon, I. B.; Faber, M. H.; Sorensen, J. D.
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE. ed. / Daniela Mercati; Alan Murray. Vol. 2 The American Society of Mechanical Engineers (ASME), 1995. p. 253-260.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Reliability-based experiment planning with linear regression models

AU - Kroon, I. B.

AU - Faber, M. H.

AU - Sorensen, J. D.

PY - 1995

Y1 - 1995

N2 - In many applications experimental data are fitted to linear regression models. In fatigue analyses of offshore steel platforms fitted linear models are used both in the SN-approach and in the fracture mechanics approach. In this paper the problem of how to make optimal planning of experiments to be used in the linear regression models is considered. Optimal planning for a certain class of problems can be performed using preposterior analyses from Bayesian decision theory. It is shown how cost optimal reliability-based experiment plans can be obtained using First Order Reliability Methods. An illustrative example is shown.

AB - In many applications experimental data are fitted to linear regression models. In fatigue analyses of offshore steel platforms fitted linear models are used both in the SN-approach and in the fracture mechanics approach. In this paper the problem of how to make optimal planning of experiments to be used in the linear regression models is considered. Optimal planning for a certain class of problems can be performed using preposterior analyses from Bayesian decision theory. It is shown how cost optimal reliability-based experiment plans can be obtained using First Order Reliability Methods. An illustrative example is shown.

UR - http://www.scopus.com/inward/record.url?scp=0029238858&partnerID=8YFLogxK

M3 - Article in proceeding

AN - SCOPUS:0029238858

VL - 2

SP - 253

EP - 260

BT - Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE

A2 - Mercati, Daniela

A2 - Murray, Alan

PB - The American Society of Mechanical Engineers (ASME)

T2 - Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5)

Y2 - 18 June 1995 through 22 June 1995

ER -

Reliability-based experiment planning with linear regression models

Abstract

Conference

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