A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock     

Murlidhar  Bhatawdekar Ramesh  Kumar  Deepak  Jahed Armaghani  Danial  Mohamad  Edy Tonnizam  Roy  Bishwajit  Pham  Binh Thai 《Natural Resources Research》2020,29(6):4103-4120

Natural Resources Research - Blasting is an economical technique for rock breaking in hard rock excavation. One of its complex undesired environmental effects is flyrock, which may result in human...  相似文献   

A typical weathering profile of granitic rock in Johor,Malaysia based on joint characterization     

Alavi Nezhad Khalil Abad  S. V.  Mohamad  Edy Tonnizam  Komoo  Ibrahim  Kalatehjari  R. 《Arabian Journal of Geosciences》2015,8(4):2191-2201

Arabian Journal of Geosciences - One of the most important challenges in the study of slope stability, foundation, and excavation in rocks is understanding the weathering states. This issue is more...  相似文献   

The effect of biological operating system on capture of organic carbon in soil and plant     

Shahin Aghamirzadeh  Ali Reza Solimani  Yahya Parvizi  Najme Soleymani  Mohamad Navid Naghibi 《Arabian Journal of Geosciences》2015,8(12):10887-10892

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The effects of climate sensitivity and carbon cycle interactions on mitigation policy stringency     

Katherine Calvin  Ben Bond-Lamberty  James Edmonds  Mohamad Hejazi  Stephanie Waldhoff  Marshall Wise  Yuyu Zhou 《Climatic change》2015,131(1):35-50

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Investigating the nexus of climate,energy, water,and land at decision-relevant scales: the Platform for Regional Integrated Modeling and Analysis (PRIMA)     

Ian Kraucunas  Leon Clarke  James Dirks  John Hathaway  Mohamad Hejazi  Kathy Hibbard  Maoyi Huang  Chunlian Jin  Michael Kintner-Meyer  Kerstin Kleese van Dam  Ruby Leung  Hong-Yi Li  Richard Moss  Marty Peterson  Jennie Rice  Michael Scott  Allison Thomson  Nathalie Voisin  Tristram West 《Climatic change》2015,129(3-4):573-588

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Diffuse instabilities with transition to localization in loose granular materials     

Richard Wan  Mauricio Pinheiro  Ali Daouadji  Mohamad Jrad  Félix Darve 《国际地质力学数值与分析法杂志》2013,37(10):1292-1311

This paper is concerned with diffuse and other ensuing failure modes in geomaterials when tested under homogeneous states of shearing in various loading programs and drainage conditions. Material instability is indeed the basic property that accounts for the instability of an initially homogeneous deformation field leading to diffuse failure and strain localization in geomaterials. The former is normally characterized by a runaway type of failure accompanied with a sudden and violent collapse of the material in the absence of any localization phenomena. Against this backdrop, we present a brief overview of material instability in elastoplastic solids where one finds a rich source of theoretical concepts including bifurcation, strain localization, diffuse failure and second‐order work, as well as a considerable body of experiments. Some compelling laboratory experimental studies of material instability with focus to diffuse failure are then presented and interpreted based on the second‐order work. Finally, various material instability analyses using an elastoplastic constitutive and a general finite element analysis of the above‐mentioned laboratory experimental tests are presented as a boundary value problem. It is shown that instability can be captured from otherwise uniform stress, density and hydraulic states, whereas uniform deviatoric loads are being applied on the external boundaries of a specimen. Although the numerical simulations reproduce well the laboratory experimental results, they also highlight the hierarchy of failure modes where localization phenomena emerge in the post‐bifurcation regime as a result of a degradation of homogeneity starting from a diffuse mode signalled by a zero second‐order work. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

The impact of climate change on sea level rise at Peninsular Malaysia and Sabah–Sarawak     

Ali Ercan  Mohd Fauzi Bin Mohamad  M. Levent Kavvas 《水文研究》2013,27(3):367-377

The sea level change along the Peninsular Malaysia and Sabah–Sarawak coastlines for the 21st century is investigated along the coastal areas of Peninsular Malaysia and Sabah–Sarawak because of the expected climate change during the 21st century. The spatial variation of the sea level change is estimated by assimilating the global mean sea level projections from the Atmosphere–Ocean coupled Global Climate Model/General Circulation Model (AOGCM) simulations to the satellite altimeter observations along the subject coastlines. Using the assimilated AOGCM projections, the sea level around the Peninsular Malaysia coastline is projected to rise with a mean in the range of 0.066 to 0.141 m in 2040 and 0.253 m to 0.517 m in 2100. Using the assimilated AOGCM projections, the sea level around Sabah–Sarawak coastlines is projected to rise with a mean in the range of 0.115 m to 0.291 m in 2040 and 0.432 m to 1.064 m in 2100. The highest sea level rise occurs at the northeast and northwest regions in Peninsular Malaysia and at north and east sectors of Sabah in Sabah–Sarawak coastline. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

Bearing capacity of sandy soil treated by Kenaf fibre geotextile     

Ahmad Safuan A. Rashid  Mohammad Gharehzadeh Shirazi  Hisham Mohamad  Fauzan Sahdi 《Environmental Earth Sciences》2017,76(12):431

Bio-based materials are widely used recently in order to introduce a more sustainable construction material. Kenaf is a type of bio-based material that can be easily obtained in a tropical country, which could be a potential material to be utilised as a geotextile material because it has good tensile strength. The geotextile could be used to improve the bearing capacity of a loose soil. This paper presents a series of small-scale physical modelling tests to investigate the bearing capacity performance of Kenaf fibre geotextile laid on and inside the sand layer. A rigid footing was used to replicate a strip footing during the loading test, and sand was prepared based on 50% of relative density in a rigid testing chamber for ground model preparation. In order to treat the soil, Kenaf fibre geotextile was laid at four difference locations which are on the soil surface and underneath the ground model surface at 50, 75 and 100 mm deep. It was found that the usage of the Kenaf fibre geotextile has improved the bearing capacity of the sandy soil up to 414.9% as compared to untreated soil. It was also found that the depth of the Kenaf fibre geotextile treated into the soil also affects the soil performance.  相似文献   

Experimental and analytical evaluation of the consolidation of tower 8 in the Damascus citadel     

Mayada Al-kousa  Hala Tawfiq Hasan  Mohamad khir Abdul-wahed  Maissa Alarab  Idmon Al-egy 《Arabian Journal of Geosciences》2017,10(2):37

The object of this work is a building situated in the ancient citadel of Damascus: tower 8 which has been affected by devastating earthquakes and subjected to a consolidation process thanks to the Syrian–Italian Cooperation Project. The aim of this research is to investigate the dynamic characteristics of this consolidated structure. Hence, a mixed procedure of experimental measurements and analytical analysis has been chosen. Considering the geotectonic environment and the historical importance, ambient noise measurements are preferred as being a non-destructive technique and the most suitable for the study purpose. The dynamic characteristics of tower 8 are analyzed experimentally and analytically on the basis of ambient noise measurements, which have been performed on the ground and floors of the tower. With spectral analysis of ambient noise records, the predominant frequencies, amplification factors, and damping ratios have been determined. The experimental and analytical results have allowed verifying the efficiency of the consolidation interventions in tower 8.  相似文献   

Comparison of artificial neural networks,geographically weighted regression and Cokriging methods for predicting the spatial distribution of soil macronutrients (N,P, and K)   总被引：2，自引：1，他引：1  

Samad Emamgholizadeh  Shahin Shahsavani  Mohamad Amin Eslami 《中国地理科学(英文版)》2017,27(5):747-759

Soil macronutrients(i.e. nitrogen(N), phosphorus(P), and potassium(K)) are important soils components and knowing the spatial distribution of these parameters are necessary at precision agriculture. The purpose of this study was to evaluate the feasibility of different methods such as artificial neural networks(ANN) and two geostatistical methods(geographically weighted regression(GWR) and cokriging(CK)) to estimate N, P and K contents. For this purpose, soil samples were taken from topsoil(0–30 cm) at 106 points and analyzed for their chemical and physical parameters. These data were divided into calibration(n = 84) and validation(n = 22). Chemical and physical variables including clay, p H and organic carbon(OC) were used as auxiliary soil variables to estimate the N, P and K contents. Results showed that the ANN model(with coefficient of determination R~2 = 0.922 and root mean square error RMSE = 0.0079%) was more accurate compared to the CK model(with R~2 = 0.612 and RMSE = 0.0094%), and the GWR model(with R~2 = 0.872 and RMSE = 0.0089%) to estimate the N variable. The ANN model estimated the P with the RMSE of 3.630 ppm, which was respectively 28.93% and 20.00% less than the RMSE of 4.680 ppm and 4.357 ppm from the CK and GWR models. The estimated K by CK, GWR and ANN models have the RMSE of 76.794 ppm, 75.790 ppm and 52.484 ppm. Results indicated that the performance of the CK model for estimation of macro nutrients(N, P and K) was slightly lower than the GWR model. Also, the accuracy of the ANN model was higher than CK and GWR models, which proved to be more effective and reliable methods for estimating macro nutrients.  相似文献