Uncertainty Estimation in Blast Vibration Attenuation Model Using Bayesian Probabilistic Approach

2021 ◽  
Author(s):  
S. Rukhaiyar ◽  
M. Ramulu ◽  
P. B. Choudhury ◽  
G. Pradeep ◽  
P. K. Singh
Keyword(s):  
Probabilistic Approach ◽  
Uncertainty Estimation ◽  
Blast Vibration ◽  
Attenuation Model ◽  
Vibration Attenuation

Production Blast-Induced Vibrations in Longhole Open Stoping

2012 ◽  
pp. 160-170
Author(s):  
John Henning ◽  
Hani Mitri
Keyword(s):  
Mining Operation ◽  
Metal Mining ◽  
Blast Vibration ◽  
Zone Width ◽  
Blast Design ◽  
Design Practices ◽  
Powder Factor ◽  
Vibration Attenuation ◽  
Stope Design

This paper examines stope design approaches employed at a metal mining operation in Canada for extraction of transverse primary, transverse secondary, and longitudinal stopes. Variations in stope and slot design, blast design, and blast vibration attenuation are presented in detail. It is shown that the type of blasthole stoping technique employed varies according to stope sequence and ore zone width. Within this range of stopes, blasting design practices have been standardized in terms of drillhole diameter, powder factor, and the type and pattern of the explosives used.

A review study of predictive model blast vibration attenuation equation by using neural network as an evaluator

2011 ◽  
Vol 25 (1) ◽  
pp. 69-85 ◽  
Author(s):  
Sugeng Wahyudi ◽  
Hideki Shimada ◽  
Ganda Marihot Simangunsong ◽  
Takashi Sasaoka ◽  
Kikuo Matsui ◽  
...  
Keyword(s):  
Neural Network ◽  
Predictive Model ◽  
Blast Vibration ◽  
Vibration Attenuation ◽  
Review Study

Probabilistic approach for decay heat uncertainty estimation using URANIE platform and MENDEL depletion code

2016 ◽  
Vol 90 ◽  
pp. 62-70 ◽  
Author(s):  
A. Tsilanizara ◽  
N. Gilardi ◽  
T.D. Huynh ◽  
C. Jouanne ◽  
S. Lahaye ◽  
...  
Keyword(s):  
Probabilistic Approach ◽  
Uncertainty Estimation ◽  
Decay Heat

scholarly journals A proposal on the blast vibration control based on probabilistic approach.

1989 ◽  
pp. 199-208 ◽  
Author(s):  
Yukio YOSHIOKA ◽  
Akihiko MIYAJI ◽  
Kohei FURUKAWA ◽  
Koji NAKAGAWA
Keyword(s):  
Vibration Control ◽  
Probabilistic Approach ◽  
Blast Vibration

Production Blast-Induced Vibrations in Longhole Open Stoping

2010 ◽  
Vol 1 (2) ◽  
pp. 1-11 ◽  
Author(s):  
John Henning ◽  
Hani Mitri
Keyword(s):  
Mining Operation ◽  
Metal Mining ◽  
Blast Vibration ◽  
Zone Width ◽  
Blast Design ◽  
Design Practices ◽  
Powder Factor ◽  
Vibration Attenuation ◽  
Stope Design

This paper examines stope design approaches employed at a metal mining operation in Canada for extraction of transverse primary, transverse secondary, and longitudinal stopes. Variations in stope and slot design, blast design, and blast vibration attenuation are presented in detail. It is shown that the type of blasthole stoping technique employed varies according to stope sequence and ore zone width. Within this range of stopes, blasting design practices have been standardized in terms of drillhole diameter, powder factor, and the type and pattern of the explosives used.

scholarly journals Illustrative Discussion of MC-Dropout in General Dataset: Uncertainty Estimation in Bitcoin

2021 ◽  
Author(s):  
Ismail Alarab ◽  
Simant Prakoonwit ◽  
Mohamed Ikbal Nacer
Keyword(s):  
Neural Networks ◽  
Uncertainty Quantification ◽  
Probabilistic Approach ◽  
Synthetic Data ◽  
Real Data ◽  
Uncertainty Estimation ◽  
Computationally Efficient ◽  
Future Directions ◽  
Predictive Probability ◽  
Bayesian Approximation

AbstractThe past few years have witnessed the resurgence of uncertainty estimation generally in neural networks. Providing uncertainty quantification besides the predictive probability is desirable to reflect the degree of belief in the model’s decision about a given input. Recently, Monte-Carlo dropout (MC-dropout) method has been introduced as a probabilistic approach based Bayesian approximation which is computationally efficient than Bayesian neural networks. MC-dropout has revealed promising results on image datasets regarding uncertainty quantification. However, this method has been subjected to criticism regarding the behaviour of MC-dropout and what type of uncertainty it actually captures. For this purpose, we aim to discuss the behaviour of MC-dropout on classification tasks using synthetic and real data. We empirically explain different cases of MC-dropout that reflects the relative merits of this method. Our main finding is that MC-dropout captures datapoints lying on the decision boundary between the opposed classes using synthetic data. On the other hand, we apply MC-dropout method on dataset derived from Bitcoin known as Elliptic data to highlight the outperformance of model with MC-dropout over standard model. A conclusion and possible future directions are proposed.

CARBONATION INDUCED CORROSION ANALYSIS OF REINFORCED CONCRETE STRUCTURES BASED ON FULL PROBABILISTIC APPROACH – AN INDONESIAN CASE STUDY

2018 ◽  
Vol 4 (1) ◽  
pp. 165
Author(s):  
Herry Prabowo ◽  
Mochamad Hilmy
Keyword(s):  
Service Life ◽  
Probabilistic Approach ◽  
Concrete Structures ◽  
Weather Condition ◽  
Analysis Data ◽  
National Standard ◽  
Concrete Carbonation ◽  
Durability Design ◽  
Starting Point ◽  
Real Performance

The assessment of the service life of concrete structures using the durability design approach is widely accepted nowadays. It is really encouraged that a simulation model can resemble the real performance of concrete during the service life. This paper investigates the concrete carbonation through probabilistic analysis. Data regarding Indonesian construction practice were taken from Indonesian National Standard (SNI). Meanwhile, data related to Indonesian weather condition for instance humidity and temperature are taken from local Meteorological, Climatological, and Geophysical Agency from 2004 until 2016. Hopefully the results can be a starting point for durability of concrete research in Indonesia.

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