@unpublished{Barnes1993,
abstract = {Subgrade modulus values for roads around the State of Minnesota can be effectively modelled as spatially correlated lognormal random variables. Based upon this geostatistical model, this report presents guidelines and nomographs for selecting the preliminary sample spacing for assessing the subgrade modulus. The maximum sample spacing to achieve a required precision is represented as a function of the average, standard deviation, and correlation length.},
address = {Minnesota},
author = {Barnes, Randal J.},
pages = {32},
title = {{N11 Geostatistics for Subgrade}},
year = {1993}
}
@article{Dondi2014,
abstract = {Continuous compaction control (CCC) with constant roller settings provides useful data on the stiffness of the layers involved. By carefully analyzing the data, it is possible to estimate how compaction will evolve during the construction process. Applying geostatistics to CCC data means that spatial variability can be quantified, something that is difficult using simple statistical analysis. Univariate statistics of CCC measurements alone do not describe spatial variability, and neither do they address the issue of uniformity from a spatial standpoint. Fur-thermore, it is important to choose the variogram model wisely, so that the factors distinguishing the areas being investigated can be fully ap-preciated. This article was prepared using statistics and geostatistics on experimental data obtained from an embankment made of recycled materials.},
author = {Dondi, Giulio and Sangiorgi, Cesare and Lantieri, Claudio},
doi = {10.1061/(ASCE)GT.1943-5606.0001044},
issn = {1090-0241},
journal = {Journal of Geotechnical and Geoenvironmental Engineering},
number = {3},
pages = {06013005},
title = {{Applying Geostatistics to Continuous Compaction Control of Construction and Demolition Materials for Road Embankments}},
volume = {140},
year = {2014}
}
@article{Vennapusa2010,
abstract = {An approach to quantify nonuniformity of compacted earth materials using spatially referenced roller-integrated compaction measurements and geostatistical analysis is discussed. Measurements from two detailed case studies are presented in which univariate statistical parameters are discussed and compared to geostatistical semivariogram modeling parameters and analysis. The univariate and geostatistical parameter values calculated from the roller-integrated measurements are also compared to traditional spot test acceptance criteria. Univariate statistical parameter values based on roller-integrated measurement values provide significantly more information than traditional point measurements, while geostatistics can be used to identify regions of noncompliance and prioritize areas for rework.},
author = {Vennapusa, Pavana K R and White, David J and Morris, Max D},
doi = {10.1061/(ASCE)GT.1943-5606.0000285},
issn = {1090-0241},
journal = {Journal of Geotechnical and Geoenvironmental Engineering},
number = {6},
pages = {813--822},
title = {{Geostatistical Analysis for Spatially Referenced Roller-Integrated Compaction Measurements}},
volume = {136},
year = {2010}
}
@article{Nawaz2013,
author = {Nawaz, Muhammad Farrakh and Bourri{\'{e}}, Guilhem and Trolard, Fabienne},
doi = {10.1007/s13593-011-0071-8},
isbn = {1359301100},
journal = {INRA},
pages = {291--309},
title = {{Soil compaction impact and modelling . A review}},
year = {2013}
}
@article{Anjan2016,
author = {Anjan, Siddagangaiah and Aldouri, Raed and Nazarian, Soheil and Si, Jimmy},
doi = {10.1016/j.conbuildmat.2016.03.117},
issn = {0950-0618},
journal = {Construction and Building Materials},
pages = {824--834},
publisher = {Elsevier Ltd},
title = {{Accelerated assessment of quality of compacted geomaterials with intelligent compaction technology}},
volume = {113},
year = {2016}
}
@article{Nosov2017,
author = {Nosov, Sergei and Kuzmichev, Viktor and Repin, Sergei and Maksimov, Sergei},
doi = {10.1016/j.trpro.2017.01.073},
isbn = {0000000000},
issn = {2352-1465},
journal = {Transportation Research Procedia},
number = {September 2016},
pages = {450--454},
publisher = {Elsevier B.V.},
title = {{Methodology of Ensuring Road Traffic Safety With Respect to Road-Building Materials Compaction Efficiency Factor}},
volume = {20},
year = {2017}
}
@article{Barman2016,
author = {Barman, Manik and Nazari, Moeen and Asif, Syed and Sesh, Imran},
doi = {10.1007/s41062-016-0020-0},
issn = {2364-4184},
journal = {Innovative Infrastructure Solutions},
number = {1},
pages = {1--14},
publisher = {Springer International Publishing},
title = {{Quality control of subgrade soil using intelligent compaction}},
volume = {1},
year = {2016}
}
@article{Xu2013,
abstract = {This paper aims to evaluate the effectiveness of IC technology for the asphalt compaction. A framework of field construction and in-situ test control using IC technology was presented and implemented in one engineering project. A computer-aided data analysis method was proposed and implemented, including the univariate and geo-statistics, compaction curve and uniformity. Results show that IC technology can effectively improve the roller patter to achieve more uniform compaction, and the compaction curve identifies the optimum roller pass to help avoid under/over compaction. The trend of Sakai Compaction Control Value (CCV) - a relative index of material stiffness - is consistent with CCV from mapping the underlying subbase layer. This indicates the reflecting effect of underneath layers on upper layers. CCVs from asphalt compaction have a linear relationship with the light-weight-de flectometer moduli of subbase. The compaction uniformity trends indicated by univariate statistics are consistent with that indicated by semivariograms for this case study. {\textcopyright} 2012 Elsevier B.V. All rights reserved.},
author = {Xu, Qinwu and Chang, George K.},
doi = {10.1016/j.autcon.2012.11.015},
isbn = {09265805},
issn = {09265805},
journal = {Automation in Construction},
pages = {104--112},
publisher = {Elsevier B.V.},
title = {{Evaluation of intelligent compaction for asphalt materials}},
volume = {30},
year = {2013}
}
@article{Budhi2008,
abstract = {In this paper, determination of characteristic value of soil properties based on a statistical method is explained. The value in the limit state design is not the point value as measured by a laboratory or field test. Two confusing concepts in statistical soil mechanics are: the modeling of variability by a random field model and the distinction between the population mean and sample mean. Intrinsically, these two concepts are related to each others. The paper demonstrates that the most confusing thing what is being dilemmas in determining soil characteristic value may be removed by considering a statistical method.},
author = {Budhi, Setiawan},
journal = {Indonesian Journal on Geoscience},
number = {2},
pages = {89--93},
title = {{Aplikasi statistika dalam menentukan nilai karakteristik tanah: sebuah studi pustaka}},
volume = {3},
year = {2008}
}
@article{Hu2018,
author = {Hu, Wei and Shu, Xiang and Jia, Xiaoyang and Huang, Baoshan},
doi = {10.1016/j.autcon.2018.01.012},
issn = {0926-5805},
journal = {Automation in Construction},
number = {April 2017},
pages = {162--169},
publisher = {Elsevier},
title = {{Automation in Construction Geostatistical analysis of intelligent compaction measurements for asphalt pavement compaction}},
volume = {89},
year = {2018}
}
@phdthesis{Laksana2010,
author = {Laksana, Endra Angen},
publisher = {Universitas Negeri Yogyakarta},
title = {{Analisis Data Geostatistika dengan Universal Kriging}},
year = {2010}
}
@article{AnjanKumar2016,
author = {{Anjan Kumar}, Siddagangaiah and Aldouri, Raed and Nazarian, Soheil and Si, Jimmy},
doi = {10.1016/j.conbuildmat.2016.03.117},
issn = {09500618},
journal = {Construction and Building Materials},
month = {jun},
pages = {824--834},
title = {{Accelerated assessment of quality of compacted geomaterials with intelligent compaction technology}},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0950061816304202},
volume = {113},
year = {2016}
}
@article{Barman2016a,
author = {Barman, Manik and Nazari, Moeen and Imran, Syed Asif and Commuri, Sesh and Zaman, Musharraf and Beainy, Fares and Singh, Dharamveer},
doi = {10.1007/s41062-016-0020-0},
issn = {2364-4176},
journal = {Innovative Infrastructure Solutions},
month = {dec},
number = {1},
pages = {23},
title = {{Quality control of subgrade soil using intelligent compaction}},
url = {http://link.springer.com/10.1007/s41062-016-0020-0},
volume = {1},
year = {2016}
}