scholarly journals Assessing Material Fragility using Nanoscale Incremental Dynamic Analysis

Author(s):  
Steven Cranford

A new methodology to assess material failure subjected to stochastic loads is proposed, titled Nanoscale Incremental Dynamic Analysis (NIDA), which is adopted from performance-based assessment in structural engineering. Using full atomistic molecular dynamics, proof-of-concept simulations produce the material fragility curve of a simple carbon nanotube.

2021 ◽  
Author(s):  
Steven Cranford

A new methodology to assess material failure subjected to stochastic loads is proposed, titled Nanoscale Incremental Dynamic Analysis (NIDA), which is adopted from performance-based assessment in structural engineering. Using full atomistic molecular dynamics, proof-of-concept simulations produce the material fragility curve of a simple carbon nanotube.


2017 ◽  
Vol 7 (1) ◽  
pp. 1338-1344
Author(s):  
M. Javanpour ◽  
P. Zarfam

Prediction of existing buildings’ vulnerability by future earthquakes is one of the most essential topics in structural engineering. Modeling steel structures is a giant step in determining the damage caused by the earthquake, as such structures are increasingly being used in constructions. Hence, two same-order steel structures with two types of structural systems were selected (coaxial moment frames and moment frame). In most cases, a specific structure needs to satisfy several functional levels. For this purpose, a method is required to determine the input request to the structures under possible earthquakes. Therefore, the Incremental Dynamic Analysis (IDA) was preferred to the Push-Over non-linear static method for the analysis and design of the considered steel structures, due its accuracy and effect of higher modes at the same time intervals. OpenSees software was used to perform accurate nonlinear analysis of the steel structure. Two parameters (spectral acceleration and maximum ground acceleration) were introduced to the modeled frames to compare the numerical correlations of seismic vulnerability obtained by two statistical methods based on the "log-normal distribution" and "logistics distribution", and finally, the parameters of displacement and drift were assessed after analysis.


2009 ◽  
Vol 79 (4) ◽  
Author(s):  
Itsuo Hanasaki ◽  
Toru Yonebayashi ◽  
Satoyuki Kawano

2012 ◽  
Vol 44 (10) ◽  
pp. 2027-2031 ◽  
Author(s):  
Ki-Sub Kim ◽  
Jungcheol Park ◽  
Ho Jung Hwang ◽  
Jeong Won Kang

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