Predictor-corrector procedures for pseudo-dynamic tests

Purpose - To propose novel predictor-corrector time-integration algorithms for pseudo-dynamic testing.Design methodology approach - The novel predictor-corrector time-integration algorithms are based on both the implicit and the explicit version of the generalized-α method. In the non-linear unforce...

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Published inEngineering computations Vol. 22; no. 7; pp. 783 - 834
Main Authors Bonelli, Alessio, Bursi, Oreste S.
Format Journal Article
LanguageEnglish
Published Bradford Emerald Group Publishing Limited 01.10.2005
Emerald
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ISSN0264-4401
1758-7077
DOI10.1108/02644400510619530

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Abstract Purpose - To propose novel predictor-corrector time-integration algorithms for pseudo-dynamic testing.Design methodology approach - The novel predictor-corrector time-integration algorithms are based on both the implicit and the explicit version of the generalized-α method. In the non-linear unforced case second-order accuracy, stability in energy, energy decay in the high-frequency range as well as asymptotic annihilation are distinctive properties of the generalized-α scheme; while in the non-linear forced case they are the limited error near the resonance in terms of frequency location and intensity of the resonant peak. The implicit generalized-α algorithm has been implemented in a predictor-one corrector form giving rise to the implicit IPC-ρ∞ method, able to avoid iterative corrections which are expensive from an experimental standpoint and load oscillations of numerical origin. Moreover, the scheme embodies a secant stiffness formula able to approximate closely the actual stiffness of a structure. Also an explicit algorithm has been implemented, the EPC-ρb method, endowed with user-controlled dissipation properties. The resulting schemes have been tested experimentally both on a two- and on a six-degrees-of-freedom system, exploiting substructuring techniques.Findings - The analytical findings and the tests have indicated that the proposed numerical strategies enhance the performance of the pseudo-dynamic test (PDT) method even in an environment characterized by considerable experimental errors. Moreover, the schemes have been tested numerically on strongly non-linear multiple-degrees-of-freedom systems reproduced with the Bouc-Wen hysteretic model, showing that the proposed algorithms reap the benefits of the parent generalized-α methods.Research limitations implications - Further developments envisaged for this study are the application of the IPC-ρ∞ method and of EPC-ρb scheme to partitioned procedures for high-speed pseudo-dynamic testing with substructuring.Practical implications - The implicit IPC-ρ∞ and the explicit EPC-ρb methods allow a user to have defined dissipation which reduces the effects of experimental error in the PDT without needing onerous iterations.Originality value - The paper proposes novel time-integration algorithms for pseudo-dynamic testing. Thanks to a predictor-corrector form of the generalized-α method, the proposed schemes maintain a high computational efficiency and accuracy.
AbstractList Purpose - To propose novel predictor-corrector time-integration algorithms for pseudo-dynamic testing.Design methodology approach - The novel predictor-corrector time-integration algorithms are based on both the implicit and the explicit version of the generalized-α method. In the non-linear unforced case second-order accuracy, stability in energy, energy decay in the high-frequency range as well as asymptotic annihilation are distinctive properties of the generalized-α scheme; while in the non-linear forced case they are the limited error near the resonance in terms of frequency location and intensity of the resonant peak. The implicit generalized-α algorithm has been implemented in a predictor-one corrector form giving rise to the implicit IPC-ρ∞ method, able to avoid iterative corrections which are expensive from an experimental standpoint and load oscillations of numerical origin. Moreover, the scheme embodies a secant stiffness formula able to approximate closely the actual stiffness of a structure. Also an explicit algorithm has been implemented, the EPC-ρb method, endowed with user-controlled dissipation properties. The resulting schemes have been tested experimentally both on a two- and on a six-degrees-of-freedom system, exploiting substructuring techniques.Findings - The analytical findings and the tests have indicated that the proposed numerical strategies enhance the performance of the pseudo-dynamic test (PDT) method even in an environment characterized by considerable experimental errors. Moreover, the schemes have been tested numerically on strongly non-linear multiple-degrees-of-freedom systems reproduced with the Bouc-Wen hysteretic model, showing that the proposed algorithms reap the benefits of the parent generalized-α methods.Research limitations implications - Further developments envisaged for this study are the application of the IPC-ρ∞ method and of EPC-ρb scheme to partitioned procedures for high-speed pseudo-dynamic testing with substructuring.Practical implications - The implicit IPC-ρ∞ and the explicit EPC-ρb methods allow a user to have defined dissipation which reduces the effects of experimental error in the PDT without needing onerous iterations.Originality value - The paper proposes novel time-integration algorithms for pseudo-dynamic testing. Thanks to a predictor-corrector form of the generalized-α method, the proposed schemes maintain a high computational efficiency and accuracy.
Purpose To propose novel predictor-corrector time-integration algorithms for pseudo-dynamic testing. Design/methodology/approach The novel predictor-corrector time-integration algorithms are based on both the implicit and the explicit version of the generalized-a method. In the non-linear unforced case second-order accuracy, stability in energy, energy decay in the high-frequency range as well as asymptotic annihilation are distinctive properties of the generalized-a scheme; while in the non-linear forced case they are the limited error near the resonance in terms of frequency location and intensity of the resonant peak. The implicit generalized-a algorithm has been implemented in a predictor-one corrector form giving rise to the implicit IPC-p, method, able to avoid iterative corrections which are expensive from an experimental standpoint and load oscillations of numerical origin. Moreover, the scheme embodies a secant stiffness formula able to approximate closely the actual stiffness of a structure. Also an explicit algorithm has been implemented, the EPC-pb method, endowed with user-controlled dissipation properties. The resulting schemes have been tested experimentally both on a two- and on a six-degrees-of-freedom system, exploiting substructuring techniques. Findings The analytical findings and the tests have indicated that the proposed numerical strategies enhance the performance of the pseudo-dynamic test (PDT) method even in an environment characterized by considerable experimental errors. Moreover, the schemes have been tested numerically on strongly non-linear multiple-degrees-of-freedom systems reproduced with the Bouc-Wen hysteretic model, showing that the proposed algorithms reap the benefits of the parent generalized-a methods. Research limitations/implications Further developments envisaged for this study are the application of the IPC-p, method and of EPC-pb scheme to partitioned procedures for high-speed pseudo-dynamic testing with substructuring. Practical implications The implicit IPC-p. and the explicit EPC-pb methods allow a user to have defined dissipation which reduces the effects of experimental error in the PDT without needing onerous iterations. Originality/value The paper proposes novel time-integration algorithms for pseudo-dynamic testing. Thanks to a predictor-corrector form of the generalized-a method, the proposed schemes maintain a high computational efficiency and accuracy.
The purpose of the study is to propose novel predictor-corrector time-integration algorithms for pseudo-dynamic testing. The novel predictor-corrector time-integration algorithms are based on both the implicit and the explicit version of the generalized-a method. In the non-linear unforced case second-order accuracy, stability in energy, energy decay in the high-frequency range as well as asymptotic annihilation are distinctive properties of the generalized-a scheme; while in the non-linear forced case they are the limited error near the resonance in terms of frequency location and intensity of the resonant peak. The analytical findings and the tests have indicated that the proposed numerical strategies enhance the performance of the pseudo-dynamic test method even in an environment characterized by considerable experimental errors. Moreover, the schemes have been tested numerically on strongly non-linear multiple-degrees-of-freedom systems reproduced with the Bouc-Wen hysteretic model, showing that the proposed algorithms reap the benefits of the parent generalized-a methods.
Author Bonelli, Alessio
Bursi, Oreste S.
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Issue 7
Keywords Tests and testing
Structures
Numerical analysis
Programming and algorithm theory
Predictor-corrector methods
Dynamic testing
High precision
Substructure
Dynamic method
System with n degrees of freedom
Annihilation
Resonance frequency
High speed
Mode component synthesis
Modelling
Localization
Iterative methods
Programming theory
Numerical integration
Experimental study
Algorithm theory
Time domain method
High efficiency
Asymptotic approximation
Non linear effect
High frequency
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Snippet Purpose - To propose novel predictor-corrector time-integration algorithms for pseudo-dynamic testing.Design methodology approach - The novel...
The purpose of the study is to propose novel predictor-corrector time-integration algorithms for pseudo-dynamic testing. The novel predictor-corrector...
Purpose To propose novel predictor-corrector time-integration algorithms for pseudo-dynamic testing. Design/methodology/approach The novel predictor-corrector...
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SubjectTerms Algorithms
Computational techniques
Dynamic programming
Exact sciences and technology
Generalized linear models
Mathematical methods in physics
Numerical analysis
Physics
Studies
Tests
Title Predictor-corrector procedures for pseudo-dynamic tests
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