Machine learning prediction of structural response for FRP retrofitted RC slabs subjected to blast loading

2021 ◽  
Vol 244 ◽  
pp. 112752
Author(s):  
Monjee K. Almustafa ◽  
Moncef L. Nehdi
Keyword(s):  
Machine Learning ◽  
Structural Response ◽  
Blast Loading ◽  
Rc Slabs

Single-Degree-of-Freedom Based Pressure-Impulse Diagrams for Blast Damage Assessment

2014 ◽  
Vol 567 ◽  
pp. 499-504 ◽  
Author(s):  
Zubair Imam Syed ◽  
Mohd Shahir Liew ◽  
Muhammad Hasibul Hasan ◽  
Srikanth Venkatesan
Keyword(s):  
Damage Assessment ◽  
Structural Response ◽  
Blast Loading ◽  
Computational Effort ◽  
Degree Of Freedom ◽  
Negative Phase ◽  
Single Degree Of Freedom ◽  
Pressure Impulse ◽  
Single Degree ◽  
Structural Resistance

Pressure-impulse (P-I) diagrams, which relates damage with both impulse and pressure, are widely used in the design and damage assessment of structural elements under blast loading. Among many methods of deriving P-I diagrams, single degree of freedom (SDOF) models are widely used to develop P-I diagrams for damage assessment of structural members exposed to blast loading. The popularity of the SDOF method in structural response calculation in its simplicity and cost-effective approach that requires limited input data and less computational effort. The SDOF model gives reasonably good results if the response mode shape is representative of the real behaviour. Pressure-impulse diagrams based on SDOF models are derived based on idealised structural resistance functions and the effect of few of the parameters related to structural response and blast loading are ignored. Effects of idealisation of resistance function, inclusion of damping and load rise time on P-I diagrams constructed from SDOF models have been investigated in this study. In idealisation of load, the negative phase of the blast pressure pulse is ignored in SDOF analysis. The effect of this simplification has also been explored. Matrix Laboratory (MATLAB) codes were developed for response calculation of the SDOF system and for repeated analyses of the SDOF models to construct the P-I diagrams. Resistance functions were found to have significant effect on the P-I diagrams were observed. Inclusion of negative phase was found to have notable impact of the shape of P-I diagrams in the dynamic zone.

Response of a tank under blast loading – part II: experimental structural response and simplified analytical approach

2012 ◽  
Vol 16 (9) ◽  
pp. 1042-1057 ◽  
Author(s):  
D.H. Duong ◽  
J.L. Hanus ◽  
L. Bouazaoui ◽  
X. Régal ◽  
G. Prod'homme ◽  
...  
Keyword(s):  
Analytical Approach ◽  
Structural Response ◽  
Blast Loading

Offshore Drilling: Extending the Weather Window for Operations by Optimal Use of Simulations and Probabilistic Machine Learning

2020 ◽  
Author(s):  
Simen Eldevik ◽  
Stian Sætre ◽  
Erling Katla ◽  
Andreas B. Aardal
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Load Capacity ◽  
Structural Response ◽  
Gaussian Process Regression ◽  
Machine Learning Techniques ◽  
Wave Loads ◽  
Simulation Techniques ◽  
Bad Weather ◽  
Probabilistic Machine Learning

Abstract Operators of offshore floating drilling units have limited time to decide on whether a drilling operation can continue as planned or if it needs to be postponed or aborted due to oncoming bad weather. With day-rates of several hundred thousand USD, small delays in the original schedule might amass to considerable costs. On the other hand, pushing the limits of the load capacity of the riser-stack and wellhead may compromise the integrity of the well itself, and such a failure is not an option. Advanced simulation techniques may reduce uncertainty about how different weather scenarios influence the system’s integrity, and thus increase the acceptable weather window considerably. However, real-time simulations are often not feasible and the stochastic behavior of wave-loads make it difficult to simulate all relevant weather scenarios prior to the operation. This paper outlines and demonstrates an approach which utilizes probabilistic machine learning techniques to effectively reduce uncertainty. More specifically we use Gaussian process regression to enable fast approximation of the relevant structural response from complex simulations. The probabilistic nature of the method adds the benefit of an estimated uncertainty in the prediction which can be utilized to optimize how the initial set of relevant simulation scenarios should be selected, and to predict real-time estimates of the utilization and its uncertainty when combined with current weather forecasts. This enables operators to have an up-to-date forecast of the system’s utilization, as well as sufficient time to trigger additional scenario-specific simulation(s) to reduce the uncertainty of the current situation. As a result, it reduces unnecessary conservatism and gives clear decision support for critical situations.

scholarly journals Structural Response to Blast Loading: The Effects of Corrosion on Reinforced Concrete Structures

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hakan Yalciner
Keyword(s):  
Reinforced Concrete ◽  
Concrete Strength ◽  
Plastic Hinge ◽  
Structural Response ◽  
Blast Loading ◽  
Structural Safety ◽  
Terrorist Attacks ◽  
Important Place ◽  
The One ◽  
The Impact

Structural blast design has become a necessary part of the design with increasing terrorist attacks. Terrorist attacks are not the one to make the structures important against blast loading where other explosions such as high gas explosions also take an important place in structural safety. The main objective of this study was to verify the structural performance levels under the impact of different blast loading scenarios. The blast loads were represented by using triangular pulse for single degree of freedom system. The effect of blast load on both corroded and uncorroded reinforced concrete buildings was examined for different explosion distances. Modified plastic hinge properties were used to ensure the effects of corrosion. The results indicated that explosion distance and concrete strength were key parameters to define the performance of the structures against blast loading.

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