Round-Robin Modelling of the Load-bearing Capacity of Slender Columns by Using Classical and Advanced Non-linear Numerical and Analytical Prediction Tools
Strauss, A., Mandić Ivanković, A., Benko, V., Matos, J., Marchand, P., Wan Wendner, R. ... Skokandić, D. (2021). Round-Robin Modelling of the Load-bearing Capacity of Slender Columns by Using Classical and Advanced Non-linear Numerical and Analytical Prediction Tools. Structural engineering international, 1., 1-18. doi: 10.1080/10168664.2020.1740069
Strauss, Alfred, et al. "Round-Robin Modelling of the Load-bearing Capacity of Slender Columns by Using Classical and Advanced Non-linear Numerical and Analytical Prediction Tools." Structural engineering international, vol. 1, 2021, pp. 1-18. https://doi.org/10.1080/10168664.2020.1740069
Strauss, Alfred, Ana Mandić Ivanković, Vladimir Benko, José Matos, Pierre Marchand, Roman Wan Wendner, Neryvaldo Galvão, et al. "Round-Robin Modelling of the Load-bearing Capacity of Slender Columns by Using Classical and Advanced Non-linear Numerical and Analytical Prediction Tools." Structural engineering international 1 (2021): 1-18. https://doi.org/10.1080/10168664.2020.1740069
Strauss, A., et al. (2021) 'Round-Robin Modelling of the Load-bearing Capacity of Slender Columns by Using Classical and Advanced Non-linear Numerical and Analytical Prediction Tools', Structural engineering international, 1, pp. 1-18. doi: 10.1080/10168664.2020.1740069
Strauss A, Mandić Ivanković A, Benko V, Matos J, Marchand P, Wan Wendner R, and sur.. Round-Robin Modelling of the Load-bearing Capacity of Slender Columns by Using Classical and Advanced Non-linear Numerical and Analytical Prediction Tools. Structural engineering international [Internet]. 2021 [cited 2024 October 02];1:1-18. doi: 10.1080/10168664.2020.1740069
A. Strauss, et al., "Round-Robin Modelling of the Load-bearing Capacity of Slender Columns by Using Classical and Advanced Non-linear Numerical and Analytical Prediction Tools", Structural engineering international, vol. 1, pp. 1-18, 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:237:653781. [Accessed: 02 October 2024]