Research On Reasonable Detection Scheme For Expressway Asphalt Pavement

With the increasing maturity of the expressway ma intenance plan in China, relying on traditional experience to dete rmine the det ection sc heme of expr essway already ca n not meet the cur rent needs of the expressway maintenance.In order to cha nge our t raditional det ection scheme of t he expressway maintenance effectively, the paper re searches and sugges ts s ome reasonable detection schemes, aiming at the existing problems in t he expressway asphalt pavement detection program.This paper identifies t he major pa rt of expre ssway asphalt pavement reasonable te sting program works through theoretical analysis and pr act ical method of combini ng:the fi r st part introduces the indicatores of the reasonable maintenance dete cti on scheme for the expressway as phalt pavement comprehensively, with using the MinTab, SPSS software to research and a nalyze t he probability distri bution model a nd the variation level deepl y.These provide valuable re ference for researchi ng the impact on the pavement management from t he asphalt pavement performance eva luat ion 、 predicti on 、 de tection period and conducting other theoretical studies.Second, focusing on analyzing t he different sampling methods of the expressway asphalt pavement detections, confi rm the sc ope of application of different s ampl ing methods; through the in-depth comparative analysi s of different sampling data va r iat ion, get the conclusion that the whole se cti on det ection ca n be taken by the sampling detection; basing on es tabl ishing the road sampling model of the pa vement performance Indi cators, get the r oad sample size of the model of t he pave ment performance Indicators. Third, according to concentrate on the impa ct of the detection period for the mainte nance manageme nt, identify the detection period have a signifi cant impact on differ ent pa vement performance prediction, the boundary of t he uniform section road and disease developme nt.Finally, starting with economic factors, by me ans of the gr ey prediction techniques and r egress ion a nalysis, combining the sc ient ific theoretical and engi neering practice, de termine the rea sonable detec t period for different road detection Indicators from the maintena nce needs.