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099		9	_aAIT Diss. no.AE-01-06
100	1		_aCanillas, Emmanuel Campanero
245	1	0	_aModeling compaction in agricultural soils by dimensional analysis technique
260			_aBangkok : _bAsian Institute of Technology, _c2001
300			_a135 leaves
490	1		_aDissertation ; _vno. AE-01-06
500			_aA dissertation submitted in partial fulfilment of the requirements for the Degree of Doctor of Engineering, School of Environment, Resources and Development
502			_aThesis (Ph.D.) - Asian Institute of Technology, 2001
520			_aThis research was undertaken to quantify the effect of tire variables (section width, diameter, inflation pressure); soil variables (soil moisture content, bulk density); and external variables (travel speed, axle load, number of tire passes) on soil compaction, to develop compaction models to access compaction in agricultural soils and develop a knowledge-based decision support system for soil compaction assessment. The experiments were conducted in a laboratory soil bin at the Regional Research Center of Asian Institute of Technology in three soil, clay, silty clay loam, and silty loam. Dimensional analysis technique was used for the development of the soil compaction models. When working at a constant speed of 0.36 km/h, the results showed that the axle load and the number of tire passes are the most dominant factors which highly influence the soil compaction. Increasing the axle load resulted in increase in bulk density which is an indicator of soil compaction. From an initial bulk density of 1.47 Mg/m3, up to 13% increase in bulk density was observed when working at 3 kN axle load in a single pass using a 8.0-16 tire. Furthermore, when the tire passed once and three times on the test soil, the increase in bulk density was 7% at 1 kN axle load. The greatest degree of soil compaction occurred during the first pass. At two to three passes, compaction increased at a decreasing rate but the change was statistically significant. However, from fourth pass onward, although compaction continued, its effect was insignificant. It was also found that the tire width/diameter radio, tire inflation pressure and soil moisture content had significant effect on the soil compaction. Based on the results obtained from the three agricultural soils, soil compaction prediction models were formulated and were found to provide good predictions when compared with field data. The models were further simplified to simulate and siut specific field working conditions. The simplified models also provided good compaction prediction. Using the compaction models and other secondary data primarily on the sufficiency relationship for bulk density, a decision support system was developed to assess the compaction status of the soil in relation to crop yield, for ease and speed. The predictions by the decision support system were validated with data obtained from field experiments conducted at the AIT campus and high correlation was observed.
650		0	_aSoil compaction
650		0	_aDimensional analysis
700	1		_aSalokhe, Vilas M., _eChairperson
700	1		_aSingh, Gajendra, _eExamination Committee
700	1		_aTabucanon, Mario T., _eExamination Committee
700	1		_aErbach, Donald C., _eExamination committee
710	2		_aCEC, _eScholarship donor
710	2		_aAsian Institute of Technology, _eScholarship donor
810	2		_aAsian Institute of Technology. _tDissertation ; _vno. AE-01-06
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B00153
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