Temperature gradient impacts on concrete-encased steel I-girder: an ANN optimization approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00699-x.pdf
Reference30 articles.
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2. Abid, S. R., Al-Gasham, T. S., Xue, J., Liu, Y., Liu, J., & Briseghella, B. (2021a). Geometrical parametric study on steel beams exposed to solar radiation. Applied Sciences. https://doi.org/10.3390/app11199198
3. Abid, S. R., Tays, N. X., Briseghella, J., & Bruno Ozakça, M. (2021b). Finite element thermo-mechanical analysis of concrete box-girders. Structures, 33, 2424–2444.
4. Afandi, A., Lusi, N., & Catrawedarma, I. G. N. B. (2022). Prediction of temperature in 2 meters temperature probe survey in Blawan geothermal field using artificial neural network (ANN) method. Case Studies in Thermal Engineering. https://doi.org/10.1016/j.csite.2022.102309
5. Anh, T., Verdugo, D., Tia, M., & Thi, T. (2021). Case studies in thermal engineering effect of volume-to-surface area ratio and heat of hydration on early-age thermal behavior of precast concrete segmental box girders. Case Studies in Thermal Engineering, 28, 101448. https://doi.org/10.1016/j.csite.2021.101448
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