4.7 Review

Modelling the Source of Blasting for the Numerical Simulation of Blast-Induced Ground Vibrations: A Review

Journal

ROCK MECHANICS AND ROCK ENGINEERING
Volume 50, Issue 1, Pages 171-193

Publisher

SPRINGER WIEN
DOI: 10.1007/s00603-016-1101-2

Keywords

Blasting; Blast vibration; Ground vibration; Blast modelling; Blast characterisation; Blasthole wall pressure

Funding

  1. Federation Wallonie-Bruxelles (Belgium)

Ask authors/readers for more resources

The mining and construction industries have long been faced with considerable attention and criticism in regard to the effects of blasting. The generation of ground vibrations is one of the most significant factors associated with blasting and is becoming increasingly important as mining sites are now regularly located near urban areas. This is of concern to not only the operators of the mine but also residents. Mining sites are subjected to an inevitable compromise: a production blast is designed to fragment the utmost amount of rock possible; however, any increase in the blast can generate ground vibrations which can propagate great distances and cause structural damage or discomfort to residents in surrounding urban areas. To accurately predict the propagation of ground vibrations near these sensitive areas, the blasting process and surrounding environment must be characterised and understood. As an initial step, an accurate model of the source of blast-induced vibrations is required. This paper presents a comprehensive review of the approaches to model the blasting source in order to critically evaluate developments in the field. An overview of the blasting process and description of the various factors which influence the blast performance and subsequent ground vibrations are also presented. Several approaches to analytically model explosives are discussed. Ground vibration prediction methods focused on seed waveform and charge weight scaling techniques are presented. Finally, numerical simulations of the blasting source are discussed, including methods to estimate blasthole wall pressure time-history, and hydrodynamic codes.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Manufacturing

On-the-road Measurements to Establish the Dynamic Characteristics of Transport Vehicles

Daniel Ainalis, Vincent Rouillard, Michael Sek

PACKAGING TECHNOLOGY AND SCIENCE (2015)

Article Engineering, Mechanical

Estimating the ride quality characteristics of vehicles with random decrement analysis of on-the-road vibration response data

Daniel Ainalis, Vincent Rouillard, Michael Sek

VEHICLE SYSTEM DYNAMICS (2016)

Article Engineering, Manufacturing

Practical Considerations for Estimating Road Vehicle Frequency Response Functions from Response Data

Daniel Ainalis, Vincent Rouillard, Michael Sek

PACKAGING TECHNOLOGY AND SCIENCE (2017)

Article Environmental Sciences

Improved analysis of ground vibrations produced by man-made sources

Daniel Ainalis, Loic Ducarne, Olivier Kaufmann, Jean-Pierre Tshibangu, Olivier Verlinden, Georges Kouroussis

SCIENCE OF THE TOTAL ENVIRONMENT (2018)

Article Engineering, Manufacturing

Issues with Combining Road Elevation Spectral Models and Vehicle Vibration Response to Estimate Vehicle Dynamic Characteristics

Daniel Ainalis, Vincent Rouillard, Michael Sek

PACKAGING TECHNOLOGY AND SCIENCE (2015)

Article Chemistry, Analytical

An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data

Chao Wu, Zhen Wang, Simon Hu, Julien Lepine, Xiaoxiang Na, Daniel Ainalis, Marc Stettler

SENSORS (2020)

Article Engineering, Manufacturing

The case for reviewing laboratory-based road transport simulations for packaging optimisation

Vincent Rouillard, Matthew James Lamb, Julien Lepine, Michael Long, Daniel Ainalis

Summary: This article points out the problems with current vibration testing methods used for road transport packaging systems, mainly lack of representativeness, failure to consider all vibration scenarios, and excessive reliance on limited data. It is suggested that future improvements to testing methods require comprehensive collection of a broader range of evidence and the use of correct scientific analysis.

PACKAGING TECHNOLOGY AND SCIENCE (2021)

Review Energy & Fuels

Review of Well-to-Wheel lifecycle emissions of liquefied natural gas heavy goods vehicles

Marc E. J. Stettler, Mino Woo, Daniel Ainalis, Pablo Achurra-Gonzalez, Jamie Speirs, Jasmin Cooper, Dong-Ha Lim, Nigel Brandon, Adam Hawkes

Summary: It has been suggested that using liquefied natural gas as a fuel source for heavy goods vehicles could lead to reduced greenhouse gas emissions. However, there has been little comparative analysis across various studies. This review provides a comprehensive examination of the well-to-wheel lifecycle emissions of liquefied natural gas for heavy goods vehicles in comparison to diesel. The primary factors affecting the emissions are the fuel efficiency of natural gas engines relative to diesel and methane leakage across the supply chain.

APPLIED ENERGY (2023)

Article Environmental Studies

A breakeven cost analysis framework for electric road systems

Parth Deshpande, Christopher de Saxe, Daniel Ainalis, John Miles, David Cebon

Summary: This paper investigates the feasibility and impact of electrifying heavy goods vehicles (HGVs) using electric road systems (ERS), and finds that using ERS can reduce emissions by approximately 10%. A cost breakeven analysis identifies the locations in England, France, India, and South Africa where ERS is economically viable for electrifying road freight.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2023)

Article Engineering, Mechanical

A multi-resolution time domain technique for monitoring fatigue progression in elements subjected to random loads

M. Lamb, V. Rouillard, D. Ainalis

AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING (2011)

No Data Available