Print Email Facebook Twitter Long-term viscoelastic deformation monitoring of a concrete dam Title Long-term viscoelastic deformation monitoring of a concrete dam: A multi-output surrogate model approach for parameter identification Author Lin, Chaoning (Hohai University) Li, Tongchun (Hohai University) Chen, Siyu (Nanjing Hydraulic Research Institute) Yuan, Li (Hohai University) van Gelder, P.H.A.J.M. (TU Delft Safety and Security Science) Yorke-Smith, N. (TU Delft Algorithmics) Date 2022 Abstract Dam safety monitoring has become an important topic and is critical for evaluating a dam's safety status. This study focuses on identifying the mechanical properties of a concrete dam from long-term viscoelastic deformation monitoring data. A novel inversion framework is proposed in which a surrogate model, instead of the finite element model, is placed inside the optimization loop. First, a multi-output surrogate model based on Gaussian process is trained by using data from a finite element simulation in the creep regime. In order to efficiently create a high-precision and reliable surrogate model, three test instances are conducted to investigate the impact of sample size, parameter range and output quantity on the performance of the surrogate model. Subsequently, a meta-heuristic optimization, multi-verse optimizer, is employed to identify the unknown viscoelastic parameters. The results illustrate that the identified properties allow predictions on dam displacement which are consistent with the monitoring data. Compared with the traditional inversion method based on finite element modelling, the proposed inversion method based on the multi-output surrogate model not only achieves accurate estimation of mechanical parameters but also greatly improves computational efficiency. Subject Concrete damInverse analysisMulti-output Gaussian processSurrogate modelViscoelasticity To reference this document use: http://resolver.tudelft.nl/uuid:93439ac0-5f86-407c-bf87-6e9b6fa679f1 DOI https://doi.org/10.1016/j.engstruct.2022.114553 Embargo date 2023-01-09 ISSN 0141-0296 Source Engineering Structures, 266 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 Chaoning Lin, Tongchun Li, Siyu Chen, Li Yuan, P.H.A.J.M. van Gelder, N. Yorke-Smith Files PDF 1_s2.0_S0141029622006599_main.pdf 10.26 MB Close viewer /islandora/object/uuid:93439ac0-5f86-407c-bf87-6e9b6fa679f1/datastream/OBJ/view