Model validation for structural dynamic analysis: An approach to the Sandia Structural Dynamics Challenge

Zang, Chaoping; Schwingshackl, Christoph W.; Ewins, D. J.

doi:10.1016/j.cma.2007.07.034

Cited by 30 publications

(16 citation statements)

References 4 publications

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“…A valid model may not be unique but should be suitable enough to perform the task for which it was created for or should be "fit-for-purpose." (Zang et al 2008) In the Journal of Management in Engineering. Submitted May 4, 2013; accepted January 7, 2014; posted ahead of print January 9, 2014. doi:10.1061/(ASCE) ME.1943-5479.0000284 Copyright 2014 by the American Society of Civil Engineers M a n u s c r i p t…”

Section: Methodsmentioning

confidence: 99%

“…Model validation is the process of demonstrating or obtaining a condition with sufficiently accurate coefficients to provide an acceptable description of the behavior of the subject structure (Ewins 2000). Validation includes checking the prediction performance against reference data from other sources, which are typically obtained from a specially conducted test (Zang et al 2008). A valid model may not be unique but should be suitable enough to perform the task for which it was created for or should be "fit-for-purpose."…”

Section: Methodsmentioning

confidence: 99%

“…The cases that are completely different from the ones used to build the model can provide reliable data to assess the accuracy of the model (Zang et al 2008). Figure 1 summarizes the methodology employed.…”

Section: N O T C O P Y E D I T E Dmentioning

confidence: 99%

See 2 more Smart Citations

Which Environmental Indicator Is Better Able to Predict the Effects of Heat Stress on Construction Workers?

Chan

2015

J. Manage. Eng.

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Extremely hot and humid environments are common in numerous occupational settings. Construction work is tough and physically demanding, and the difficulty is exacerbated by the hot and humid weather of tropical and subtropical regions. Having established heat stress models through different environmental indicators, this study aims to ascertain which environmental indicator would be better able to predict the effects of heat stress on construction workers. Field studies were conducted during summer in Hong Kong from July 2011 to August 2011. Physiological, work-related, environmental, and personal parameters were measured to validate the established heat stress models on the basis of 411 sets of synchronized meteorological and physiological data collected from construction workers in two different construction sites. The mean absolute percentage error (MAPE) and Theil's U inequality coefficient were used to assess these models in terms of predictive accuracy. Wet bulb globe temperature (WBGT) was found to have the This is the Pre-Published Version.A c c e p t e d M a n u s c r i p t N o t C o p y e d i t e d2 highest validity (MAPE = 6.5%, Theil's U inequality coefficient = 0.05) and practicality in predicting the effects of heat stress on construction workers. Specific heat stress guidelines can be formulated based on WBGT, which can protect well the health and safety of site personnel working in hot and humid weather conditions.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Which Environmental Indicator Is Better Able to Predict the Effects of Heat Stress on Construction Workers?

Chan

2015

J. Manage. Eng.

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“…The accomplishment of the validation has been performed applying different methods, which all led to the conclusion of a validated model. Aside from a graphical validation applied by Zang [4], the validation procedure is based on quantitative, classical methods such as hypothesis testing [12,18], confidence intervals [15] and validation criteria as used in aerospace industry based on frequency deviations, test-orthogonality and crossorthogonality [14]. In addition, a validation metric based on a weighted measure of the differences between the experimental and analytical cumulative density functions has been introduced [29].…”

Section: Validation Of the Substructurementioning

confidence: 99%

“…More specifically, model updating in the context of the application example in dynamics, mainly involved the usage of KarhunenLoève (KL) expansion to represent the identified structural parameters in a stochastic manner in order to take into account the uncertainties (see [12,14,15,18,29]), whereas the random vectors in the KL-expansion are modelled using several methods: analytical probability density functions, such as the Gaussian [15,14] and log-normal distribution [15], Polynomial Chaos expansion [12], kernel density estimator [15,18] and empirical cumulative density functions [29] are used for the representation of the stochastic term in the KL-expansion. The suitability of the description of the unknown input parameters as uncorrelated Gaussian distributed random variables has also been explored [4]. The objective of the present paper is the extension of the approach for model updating presented in [24].…”

Section: Introductionmentioning

confidence: 99%

Robust model updating with insufficient data

Goller¹,

Pradlwarter²,

Schuëller³

2009

Computer Methods in Applied Mechanics and Engineering

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Identification of weak nonlinearities in MDOF systems based on reconstructed constant response tests

2019

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A novel strategy to characterize and identify structural nonlinearities in MDOF systems based on reconstructing constant response tests from constant excitation tests is developed in this paper. Constant displacement frequency response functions (FRFs) can be measured by a stepped sine test where the displacement is controlled at every frequency of interest. In these FRFs the nonlinear restoring force is effectively linearized and natural frequencies can be estimated by linear modal analysis. Using a series of constant displacement tests, the relationship of equivalent stiffness versus displacement can be established by curve fitting and hence the nonlinear stiffness characterized. This paper proposes a method to reconstruct the constant displacement FRFs from stepped sine tests with constant excitation; this avoids the requirement to control either the response or force amplitude, leads to a faster and more stable testing programme. Similarly, damping nonlinearities in structures can be characterized and identified by constant velocity tests reconstructed in a similar way. This approach of FRF reconstruction is mathematically simple and suitable for structures with weak nonlinearities. The method is demonstrated on a framed structure with unknown weak nonlinearities, and the nonlinear stiffness and damping parameters of the structure are identified and validated. The results demonstrate the feasibility and effectiveness of the approach, and also show the potential for practical applications in engineering.

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Model validation for structural dynamic analysis: An approach to the Sandia Structural Dynamics Challenge

Cited by 30 publications

References 4 publications

Which Environmental Indicator Is Better Able to Predict the Effects of Heat Stress on Construction Workers?

Which Environmental Indicator Is Better Able to Predict the Effects of Heat Stress on Construction Workers?

Robust model updating with insufficient data

Identification of weak nonlinearities in MDOF systems based on reconstructed constant response tests

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