dc.contributor.author |
Bhatawdekar, RM |
|
dc.contributor.author |
Mohamad, ET |
|
dc.contributor.author |
Armaghani, DJ |
|
dc.contributor.author |
Mahmud, N |
|
dc.contributor.editor |
Dissanayake, DMDOK |
|
dc.contributor.editor |
Samaradivakara, GVI |
|
dc.date.accessioned |
2022-03-23T09:53:26Z |
|
dc.date.available |
2022-03-23T09:53:26Z |
|
dc.date.issued |
2019-08 |
|
dc.identifier.citation |
Bhatawdekar, R.M., Mohamad, E.T., Armaghani, D.J., & Mahmud, N. (2019). Prediction of air over pressure due to blasting in tropically weathered granite quarries in Malaysia with multi-variable regression analysis.
In D.M.D.O.K. Dissanayake & G.V.I. Samaradivakara (Eds.), Proceedings of International Symposium on Earth Resources Management & Environment 2019 (pp. 13-17). Department of Earth Resources Engineering, University of Moratuwa. |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/17450 |
|
dc.description.abstract |
World class infrastructure is developed ai Johor Bahru city of Malaysia. Granite is the
most commonly available rock for production of aggregates. Blasting is essential for
breaking of rocks. Environmental effects due to blasting are associated with flyrock,
ground vibration, air over pressure and dust. Some of the aggregate quarries are
proximate to human habitation. Many complaints are received by quarry
management from different quarries by nearby habitants for (noise) air over pressure
due to the blasting. This study was undertaken to investigate different parameters
which contribute to air over pressure. At the end of study, multi variable regression
analysis used for correlating with air over pressure (AOp) developed. Tropically
weathered granite can be classified as fresh, slightly weathered, moderately
weathered, highly weathered and completely weathered. Data were collected for 110
blasts from three quarries consisting of hole diameter (mm), burden(m), stemming
length(m), charge per meter(kg/m), powder factor(kg/m3), joint aperture (mm),
maximum charger per delay (kg), distance of blast from monitoring point (m) and
measured AOp. Sensitivity analysis varies from 0.82 to 0.98. The data is analysed with
multi variable regression analysis (MVRA) and equation was developed for
predicting AOp with 8 input parameters. R2 with predictor equation and measured
value shows 0.66. |
en_US |
dc.description.sponsorship |
Faculty of Graduate Studies, University of Moratuwa. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Department of Earth Resources Engineering |
en_US |
dc.subject |
Charge per meter |
en_US |
dc.subject |
Joint aperture |
en_US |
dc.subject |
Maximum charge per delay |
en_US |
dc.subject |
Powder factor |
en_US |
dc.subject |
Sensitivity analysis |
en_US |
dc.title |
Prediction of air over pressure due to blasting in tropically weathered granite quarries in Malaysia with multi-variable regression analysis |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.department |
Department of Earth Resources Engineering |
en_US |
dc.identifier.year |
2019 |
en_US |
dc.identifier.conference |
International Symposium on Earth Resources Management & Environment 2019 |
en_US |
dc.identifier.place |
Colombo |
en_US |
dc.identifier.pgnos |
pp. 13-17 |
en_US |
dc.identifier.proceeding |
Proceedings of International Symposium on Earth Resources Management & Environment 2019 |
en_US |
dc.identifier.email |
rmbhatawdekar@yahoo.com |
en_US |