This paper is published in Volume-4, Issue-3, 2018
Area
Civil Engineering
Author
Shivakant Awasthi, Satish Parihar
Org/Univ
Rama University, Kanpur, Uttar Pradesh, India
Keywords
HHDMR, Fragility Curve, Cornell’s Method, Latin Hypercube Sampling, MCS, Probability of exceedance.
Citations
IEEE
Shivakant Awasthi, Satish Parihar. Fragility curves construction for an RC frame, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shivakant Awasthi, Satish Parihar (2018). Fragility curves construction for an RC frame. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Shivakant Awasthi, Satish Parihar. "Fragility curves construction for an RC frame." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Shivakant Awasthi, Satish Parihar. Fragility curves construction for an RC frame, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shivakant Awasthi, Satish Parihar (2018). Fragility curves construction for an RC frame. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Shivakant Awasthi, Satish Parihar. "Fragility curves construction for an RC frame." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Abstract
The Seismic fragility curve is mainly applied to evaluate the planning of pre-earthquake disaster and recovery from post-earthquake. It provides the conditional probability of structural response to earthquake loads as a function of ground motion intensity. The traditional methods of generating fragility curves include a large number of computational models that represents the analysis of earthquake time history and inherent variation in the properties of materials of a particular building type. There are several Response surface methods available in which HDMR i.e. High Dimensional Model Representation which can express the input-output relation of complex computational models. This input-output relation can minimize the procedures of the expensive computations in problems like development of fragility curve. This technique was first applied by Unnikrishnan et al. (2012) in fragility evaluations and he demonstrated its computational efficacy compared to Monte Carlo method which is computationally intense. In this study, an HDMR response surface method is used to develop the fragility curve of an RC Frame. There are many simplified approaches which are quite easy on computational terms for fragility development of curve. Cornell et al (2002) offered such method that assumes a law model between the earthquake’s intensity and damage parameters. The study showcases the Fragility Curves assessment by using HDMR and its computational efficacy with reference to one of the methods used by Cornell et al (2002).