Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Quantifying variation in maximum floor accelerations of modular buildings under earthquakes through stochastic nonlinear structural analysis
https://orcid.org/0000-0003-0478-2305
Highlights Variations in floor acceleration arise due to randomness in RC wall properties. Spatial variation in concrete strength was modeled through random fields. Monte Carlo simulations and nonlinear response history analyses were adopted. Proposed increase ratio of 1.2 for adequate safety margins in diaphragm connections.
Abstract For earthquake-resistant design of modular buildings, reinforced concrete (RC) cores can be a viable choice as the vertical seismic force resisting system. The maximum floor acceleration determines the maximum inertial force that will be transferred by the connections in the horizontal diaphragm to the RC walls. However, the randomness in the structural properties of RC walls may result in fluctuations in the floor acceleration response. Given the limited number of horizontal inter-module connections in modular buildings, the failure of these connections can have severe consequences. To ensure adequate safety margins in the design of horizontal diaphragm connections, it is essential to account for the variations in maximum floor accelerations. To quantify these variations, a 9-story prototype building with RC walls was examined in this study. Monte Carlo simulations were conducted on sample structures with univariate and bivariate randomness in f c (concrete cylinder compressive strength) and F y (yield strength of steel rebars) of RC walls. Nonlinear response history analyses were performed for each sample structure using 22 ground motions to account for uncertainty in earthquake excitation. The results demonstrated significant and highly complex variations in the maximum floor accelerations due to the randomness considered. A coefficient of variation (CoV) of 0.13 was determined for the maximum floor acceleration response resulting from the bivariate randomness in f c and F y. Furthermore, the variations were found to increase as the correlation scale in the spatial variation of f c increased. Based on the findings, it is proposed to apply an increase ratio of 1.2 to the maximum floor acceleration to account for the randomness of RC wall properties to ensure adequate safety margins in the design of horizontal diaphragm connections.
Quantifying variation in maximum floor accelerations of modular buildings under earthquakes through stochastic nonlinear structural analysis
https://orcid.org/0000-0003-0478-2305
Highlights Variations in floor acceleration arise due to randomness in RC wall properties. Spatial variation in concrete strength was modeled through random fields. Monte Carlo simulations and nonlinear response history analyses were adopted. Proposed increase ratio of 1.2 for adequate safety margins in diaphragm connections.
Abstract For earthquake-resistant design of modular buildings, reinforced concrete (RC) cores can be a viable choice as the vertical seismic force resisting system. The maximum floor acceleration determines the maximum inertial force that will be transferred by the connections in the horizontal diaphragm to the RC walls. However, the randomness in the structural properties of RC walls may result in fluctuations in the floor acceleration response. Given the limited number of horizontal inter-module connections in modular buildings, the failure of these connections can have severe consequences. To ensure adequate safety margins in the design of horizontal diaphragm connections, it is essential to account for the variations in maximum floor accelerations. To quantify these variations, a 9-story prototype building with RC walls was examined in this study. Monte Carlo simulations were conducted on sample structures with univariate and bivariate randomness in f c (concrete cylinder compressive strength) and F y (yield strength of steel rebars) of RC walls. Nonlinear response history analyses were performed for each sample structure using 22 ground motions to account for uncertainty in earthquake excitation. The results demonstrated significant and highly complex variations in the maximum floor accelerations due to the randomness considered. A coefficient of variation (CoV) of 0.13 was determined for the maximum floor acceleration response resulting from the bivariate randomness in f c and F y. Furthermore, the variations were found to increase as the correlation scale in the spatial variation of f c increased. Based on the findings, it is proposed to apply an increase ratio of 1.2 to the maximum floor acceleration to account for the randomness of RC wall properties to ensure adequate safety margins in the design of horizontal diaphragm connections.
Quantifying variation in maximum floor accelerations of modular buildings under earthquakes through stochastic nonlinear structural analysis
https://orcid.org/0000-0003-0478-2305
Highlights Variations in floor acceleration arise due to randomness in RC wall properties. Spatial variation in concrete strength was modeled through random fields. Monte Carlo simulations and nonlinear response history analyses were adopted. Proposed increase ratio of 1.2 for adequate safety margins in diaphragm connections.
Abstract For earthquake-resistant design of modular buildings, reinforced concrete (RC) cores can be a viable choice as the vertical seismic force resisting system. The maximum floor acceleration determines the maximum inertial force that will be transferred by the connections in the horizontal diaphragm to the RC walls. However, the randomness in the structural properties of RC walls may result in fluctuations in the floor acceleration response. Given the limited number of horizontal inter-module connections in modular buildings, the failure of these connections can have severe consequences. To ensure adequate safety margins in the design of horizontal diaphragm connections, it is essential to account for the variations in maximum floor accelerations. To quantify these variations, a 9-story prototype building with RC walls was examined in this study. Monte Carlo simulations were conducted on sample structures with univariate and bivariate randomness in f c (concrete cylinder compressive strength) and F y (yield strength of steel rebars) of RC walls. Nonlinear response history analyses were performed for each sample structure using 22 ground motions to account for uncertainty in earthquake excitation. The results demonstrated significant and highly complex variations in the maximum floor accelerations due to the randomness considered. A coefficient of variation (CoV) of 0.13 was determined for the maximum floor acceleration response resulting from the bivariate randomness in f c and F y. Furthermore, the variations were found to increase as the correlation scale in the spatial variation of f c increased. Based on the findings, it is proposed to apply an increase ratio of 1.2 to the maximum floor acceleration to account for the randomness of RC wall properties to ensure adequate safety margins in the design of horizontal diaphragm connections.
Quantifying variation in maximum floor accelerations of modular buildings under earthquakes through stochastic nonlinear structural analysis
Wang, Chen (Autor:in) / Chan, Tak-Ming (Autor:in)
Thin-Walled Structures ; 196
02.12.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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