Data-driven Arbitrary Polynomial Chaos Expansion on Uncertainty Quantification for Real-time Hybrid Simulation Under Stochastic Ground Motions.

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Title: Data-driven Arbitrary Polynomial Chaos Expansion on Uncertainty Quantification for Real-time Hybrid Simulation Under Stochastic Ground Motions.
Authors: Chen, M.1, Guo, T.1, Chen, C.2, chcsfsu@sfsu.edu, Xu, W.1
Source: Experimental Techniques; 2020, Vol. 44 Issue 6, p751-762, 12p
Database: Applied Science & Technology Source
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  Data: Data-driven Arbitrary Polynomial Chaos Expansion on Uncertainty Quantification for Real-time Hybrid Simulation Under Stochastic Ground Motions.
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        Value: 10.1007/s40799-020-00381-w
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      – Code: eng
        Text: English
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      – TitleFull: Data-driven Arbitrary Polynomial Chaos Expansion on Uncertainty Quantification for Real-time Hybrid Simulation Under Stochastic Ground Motions.
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              Value: 44
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