TY  - INPR
UR  - http://dx.doi.org/10.1080/13632469.2024.2368159
SP  - 1
KW  - Science & Technology
KW  -  Technology
KW  -  Physical Sciences
KW  -  Engineering
KW  -  Civil
KW  -  Engineering
KW  -  Geological
KW  -  Geosciences
KW  -  Multidisciplinary
KW  -  Engineering
KW  -  Geology
KW  -  Epistemic uncertainty
KW  -  cloud analysis
KW  -  incremental dynamic analysis
KW  -  Cloud to IDA
KW  -  seismic fragility
KW  -  Latin hypercube sampling
KW  -  INCREMENTAL DYNAMIC-ANALYSIS
KW  -  PERFORMANCE ASSESSMENT
KW  -  COLLAPSE RISK
KW  -  SENSITIVITY
KW  -  INFORMATION
KW  -  STRENGTH
KW  -  SCALAR
KW  -  DAMAGE
TI  - Propagation of Modelling Uncertainties for Seismic Risk Assessment: The Effect of Sampling Techniques on Low-Rise Non-Ductile RC Frames
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
SN  - 1363-2469
ID  - discovery10197090
AV  - restricted
JF  - Journal of Earthquake Engineering
EP  - 26
N2  - Quantifying the impact of modelling uncertainty on seismic performance assessment of existing buildings is non-trivial when considering the partial information available on material properties, construction details, and the uncertainty in the capacity models. This task is further complicated when uncertainty related to ground motion representation is considered. To address this issue, record-to-record variability, uncertainties in structural model parameters, and fragility model parameters due to limited sample size are propagated herein by employing a nonlinear dynamic analysis procedure based on recorded ground motions. A one-to-one sampling approach is adopted in which each recorded ground motion is paired up with a different structural model realization. Uncertainty propagation is explored by measuring the impact of different sampling techniques, such as Monte Carlo simulation with standard random sampling and Latin Hypercube sampling (with Simulated Annealing) in the presence of three alternative nonlinear dynamic analysis procedures: Incremental Dynamic Analysis (IDA), Modified Cloud Analysis (MCA), and Cloud to IDA (a highly efficient IDA-like procedure). This is all illustrated through application to an existing reinforced-concrete school building in southern Italy. It is shown that with a small subset of records, both MCA and Cloud to IDA can provide reliable structural fragility (and risk) estimates for three considered limit states, comparable to the results of more resource-intensive schemes.
PB  - Informa UK Limited
A1  - Miano, Andrea
A1  - Ebrahimian, Hossein
A1  - Jalayer, Fatemeh
A1  - Vamvatsikos, Dimitrios
A1  - Prota, Andrea
Y1  - 2024/07/02/
ER  -