RT - Journal Article
T1 - Probabilistic evaluation and development of seismic fragility curves of high-rise structures by presenting a suitable method for selecting the most optimum probability distribution for all performance levels
JF - mdrsjrns
YR - 2022
JO - mdrsjrns
VO - 22
IS - 2
UR - http://mcej.modares.ac.ir/article-16-63047-en.html
SP - 289
EP - 300
K1 - Incremental Dynamic Analysis (IDA)
K1 - Probabilistic Evaluation
K1 - Intelligent Seismic Fragility Curve (ISFC)
K1 - High-Rise Structures
K1 - Goodness of Fit Tests
AB - Fragility curves are powerful tools to assess and control of possible damages to the existing structures and estimate the exceedance probability from the seismic behavior of the structures under the influence of different earthquake levels. these curves present the probability of damage as a function of the ground motion characteristics. The main goal of the current study is to examine the existing methods and the presentation of a suitable method for the production of analytical seismic fragility curves and the proposal of appropriate relationships for the exceedance probability from different performance levels. For this purpose, three high-rise building frames with 20, 25, and 30 stories with a slimming ratio greater than π, according to the standard 2800 and the sixth issues and tenth issues of the national building regulations of Iran, were designed. Then, by using Perform 3D program, their analytical model was defined and validated. To evaluate the seismic response demand of frames, incremental nonlinear dynamic analysis (IDA) was performed. For IDA analysis, the 22 recommended records in the FEMAP695 guideline and two earthquakes in Iran were used. Spectral acceleration of the first mode of the structure with damping of 5 Percentage (Sa (T1.5%)) was used to introduce the intensity of the earthquake (IM) and the inter story drift ratio was used to introduce the engineering demand parameter (EDP) Or damage measure (DM). To find the appropriate function of the exceedance probability from limit states and use them in the production of fragility curves, the results of IDA analysis and nineteen different probability functions using the suitable program were used. in order that the used distribution describes the sample data in the best manner, the goodness of fit tests was used. the results obtained from the goodness of fit tests show that The probability distribution rank used by researchers (log normal) versus other probability distribution functions varies in ranking the best fitted probability distribution. and selecting the appropriate probability distribution is effective in the conclusions and determining the probability exceedance of the structure from the desired limit states. Therefore, in order to reduce the uncertainty related to the mathematical model (epistemic uncertainty) in the template of a comprehensive view and according to accuracy and the required seismic target, a suitable method for developing fragility curves for types of steel structural systems with different heights with the name of intelligent seismic fragility curve (ISFC) is introduced and presented. Such that if only one distribution is desired to compare several options, including deciding how to reinforce or comparing the seismic performance of several structures to plot the fragility curve, it is recommended: to use the probability distribution "Generalized Extreme Value", due to having more parameters and the ability to fit better than the distribution "log normal", but for more sensitive structures, such as nuclear power plants and hospitals that are of great importance and require high precision or in order to achieve the most accurate fitted possible to decide on about the vulnerability estimation of any structural system, It is then recommended: to estimate the exceedance probability from performance levels at the structure, before fragility analysis, by probabilistic evaluation and using the goodness of fit tests on suitable probability functions, At First, a best fitted probability distribution should be selected at all performance levels and then the vulnerability of structures is estimated by fragility curves.
LA eng
UL http://mcej.modares.ac.ir/article-16-63047-en.html
M3 DOI: 10.22034/22.2.16
ER -