Abstract
In the performance-based structural design, the crucial component is to estimate the uncertainties in the structural responses precisely. The uncertainty may lie in many structural design parameters such as load, material properties, etc. Each parametric uncertainty has led to variation in the structural responses. Currently, structural design is performed considering the constant loading and material properties. But in reality, all these parameters are highly uncertain and can pose a wide variation in the structural responses due to earthquake loading. This study focuses on identifying the uncertainties arising from the different means and their impacts on the responses. The Monte Carlo Sampling (MCS) is employed to quantify the uncertainties in a structural deformation. The Multi-Degrees of Freedom (MDOF) structural model is constructed in the OpenSees program, and non-linear dynamic analysis is performed. The El-Centro earthquake was applied for the structural analysis. The result shows the probabilistic distribution of the earthquake response parameters. This approach is a more realistic representation of structural responses by incorporating the uncertainties in the design parameters.
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References
Beck AT, da Ribeiro LR, Valdebenito M (2020) Risk-based cost-benefit analysis of frame structures considering progressive collapse under column removal scenarios. Eng Struct 225:111295. https://doi.org/10.1016/j.engstruct.2020.111295
Beck AT, de Gomes WJS (2012) A comparison of deterministic, reliability-based and risk-based structural optimization under uncertainty. Probab Eng Mech 28:18–29. https://doi.org/10.1016/j.probengmech.2011.08.007
Feng X, Wu J, Zhang Y (2018) Time response of structure with interval and random parameters using a new hybrid uncertain analysis method. Appl Math Model 64:426–452. https://doi.org/10.1016/j.apm.2018.07.043
Muscolino G, Sofi A (2012) Stochastic analysis of structures with uncertain-but-bounded parameters via improved interval analysis. Probab Eng Mech 28:152–163. https://doi.org/10.1016/j.probengmech.2011.08.011
Qiu Z, Liu D (2020) Safety margin analysis of buckling for structures with unknown but bounded uncertainties. Appl Mathe Comput 367:124759. https://doi.org/10.1016/j.amc.2019.124759
Wang L, Xiong C, Yang Y (2018) A novel methodology of reliability-based multidisciplinary design optimization under hybrid interval and fuzzy uncertainties. Comput Methods Appl Mech Eng 337:439–457. https://doi.org/10.1016/j.cma.2018.04.003
Wang X, Wang L (2011) Uncertainty quantification and propagation analysis of structures based on measurement data. Math Comput Model 54:2725–2735. https://doi.org/10.1016/j.mcm.2011.06.060
Wu SQ, Law SS (2012) Evaluating the response statistics of an uncertain bridge–vehicle system. Mech Syst Signal Process 27:576–589. https://doi.org/10.1016/j.ymssp.2011.07.019
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Chanda, S., Somala, S.N. (2022). Uncertainty Quantification of Structural Response Due to Earthquake Loading. In: Marano, G.C., Ray Chaudhuri, S., Unni Kartha, G., Kavitha, P.E., Prasad, R., Achison, R.J. (eds) Proceedings of SECON’21. SECON 2021. Lecture Notes in Civil Engineering, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-030-80312-4_82
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DOI: https://doi.org/10.1007/978-3-030-80312-4_82
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