EP2586915A1 - Method of working a blacktop road surface to a target microroughness and a target macroroughness - Google Patents
Method of working a blacktop road surface to a target microroughness and a target macroroughness Download PDFInfo
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- EP2586915A1 EP2586915A1 EP12190459.3A EP12190459A EP2586915A1 EP 2586915 A1 EP2586915 A1 EP 2586915A1 EP 12190459 A EP12190459 A EP 12190459A EP 2586915 A1 EP2586915 A1 EP 2586915A1
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- road surface
- target
- macroroughness
- work parameter
- job
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
- E01C23/00—Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
- E01C23/01—Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs
Definitions
- the present invention relates to a method of working a blacktop road surface to a target microroughness and target macroroughness.
- Vehicle tyre performance depends largely on the characteristics (typically micro- and macroroughness) of the road surface on which the tyres roll, so, to accurately compare the findings of tyre tests conducted at different times and/or on different test tracks, the test road surfaces must have the same characteristics (i.e. same micro- and macroroughness).
- the micro- and macroroughness of the road surface required for correct tyre testing are established beforehand. Once the new asphalt is laid, it is allowed to mature, and the new test area allowed to rest, for at least 2-4 weeks. At the end of the maturation period, the road surface has a more or less thick surface layer of bitumen 'concealing' the aggregate underneath, and so normally has a very high microroughness and a very low macroroughness. At the end of the maturation period, the road surface must therefore be worked to the required micro- and macroroughness.
- Patent US7850395B1 describes a road surface roughness analysis system, in which a wheel-mounted vehicle is run parallel to the road, and is equipped with an optical profilograph directed onto and for continuously measuring the roughness of the road surface. On the basis of the profilograph measurements, the road surface may be worked further, e.g. smoothed, to bring it up to specifications.
- Number 1 in Figure 1 indicates as a whole a tyre test area, which is in the form of a strip (roughly 1.5-3 metres wide and 20-50 metres long) and comprises an asphalted road surface 2, i.e. made of a bituminous conglomerate of aggregate (substantially pebbles), which forms the solid skeleton, and bitumen, which binds (i.e. 'glues') the aggregate together.
- asphalted road surface 2 i.e. made of a bituminous conglomerate of aggregate (substantially pebbles), which forms the solid skeleton, and bitumen, which binds (i.e. 'glues') the aggregate together.
- the main characteristics of road surface 2 are microroughness or microtexture, which relates to roughness with a horizontal wavelength ⁇ of below 0.5 mm; and macroroughness or macrotexture, which relates to roughness with a horizontal wavelength ⁇ of 0.5 to 50 mm.
- the micro- and macroroughness of road surface 2 are measured using an optical measuring device 3, which comprises a gantry supporting frame 4 spanning road surface 2; and a laser distance meter 5, which is fitted to supporting frame 4, is positioned vertically a small distance from road surface 2, and is aimed vertically downwards to 'observe' road surface 2.
- An electric motor 6 moves laser distance meter 5 along supporting frame 4 and across road surface 2, and the position of laser distance meter 5 along supporting frame 4 is recorded by a position sensor 7 (more specifically, a high-resolution encoder).
- measuring device 3 comprises a processing unit 8 for processing the readings of laser distance meter 5 and position sensor 7.
- processing unit 8 moves laser distance meter 5 across road surface 2 on supporting frame 4, and, at the same time, records the readings of laser distance meter 5 and position sensor 7 at given (typically constant) measuring intervals.
- processing unit 8 records the distance D recorded by laser distance meter 5, and the corresponding position X of laser distance meter 5 along supporting frame 4.
- the succession of distance D measurements as a function of positions X is processed mathematically (to ISO Standards) to give a synthetic indication of the roughness (divided into micro- and macroroughness) of road surface 2.
- Mathematical processing typically comprises a Fourier transform in the length domain to determine the spectrum of wavelengths ⁇ in the recorded profile of road surface 2.
- Figure 3 shows a so-called 'height histogram', i.e. the distribution of wavelengths ⁇ in the recorded profile : the x axis shows wavelength ⁇ , and the y axis the presence percentage.
- Figure 4 shows a so-called 'PSD - Power Spectral Density' graph : the x axis shows (in logarithmic scale) the inverse of wavelength ⁇ (i.e. the 'spatial frequency'), and the y axis shows PSD (in logarithmic scale). From the Figure 4 graph, it is possible to estimate the macroroughness MR corresponding to the highest PSD value (at a high wavelength ⁇ , i.e. low 'spatial frequency'), and the microroughness ⁇ R corresponding to the lowest PSD value (at a low wavelength ⁇ , i.e. high 'spatial frequency').
- the target microroughness ⁇ R TARGET and target macroroughness MR TARGET of road surface 2 required for correct tyre testing are established beforehand.
- road surface 2 has a more or less thick surface layer of bitumen 'concealing' the aggregate underneath, so its actual microroughness is normally very high (i.e. much higher than target microroughness ⁇ R TARGET ), and its macroroughness is normally very low (i.e.
- road surface 2 must therefore be worked to reduce its microroughness to target microroughness ⁇ R TARGET , and increase its macroroughness to target macroroughness MR TARGET .
- the initial macroroughness MR START of road surface 2 is measured using measuring device 3 described above.
- a limited calibration portion 9 of road surface 2 ( Figure 1 ) of test area 1 is then defined.
- Calibration portion 9 is roughly one metre long, and typically located at one end of test area 1.
- a number of first jobs, differing from one another by at least one work parameter V, are performed on different sections 10 of calibration portion 9.
- a first job, with a first work parameter V is performed on a first section 10 of calibration portion 9 of road surface 2; a first job, with a second work parameter V different from first work parameter V, is performed on a second section 10 of calibration portion 9 of road surface 2; a first job, with a third work parameter V different from the first and second work parameters V, is performed on a third section 10 of calibration portion 9 of road surface 2, and so on (roughly four to eight first jobs, with respective different work parameters V, are performed on respective sections 10 of calibration portion 9).
- the first jobs have a significant effect on the macroroughness of road surface 2, and only a limited (substantially negligible) effect on the microroughness of road surface 2.
- the final macroroughness MR END of road surface 2 is measured after each first job performed on calibration portion 9 of road surface 2 (i.e. on each section 10 of calibration portion 9).
- the Figure 5 work parameter V/macroroughness MR graph can be constructed by plotting the test points corresponding to the first jobs performed on sections 10 of calibration portion 9.
- the best work parameter V TARGET to achieve target macroroughness MR TARGET can be extrapolated from the test points in the Figure 5 graph as a function of the final macroroughness MR END measurements of the first jobs.
- a curve is drawn approximating the test points (i.e. measurements) of the first jobs in the work parameter V/macroroughness MR plane, and is subsequently used to determine the best work parameter V TARGET as a function of target macroroughness MR TARGET .
- the first job is performed over the whole of road surface 2 using the best work parameter V TARGET .
- the whole of road surface 2 (except for calibration portion 9, which is no longer used) therefore has a final macroroughness MR END substantially equal to target macroroughness MR TARGET .
- each first job comprises dry blasting road surface 2 using a dry blasting device 11.
- Dry blasting device 11 comprises a gantry frame 12 resting on opposite sides of and spanning road surface 2; and a dry blasting head 13 facing road surface 2, fitted movably to gantry frame 12, and moved across road surface 2 by an electric motor 14.
- Gantry frame 12 is preferably movable along road surface 2 on two rails 15 parallel to and on opposite sides of road surface 2.
- dry blasting head 13 is moved along gantry frame 12, across road surface 2, to dry blast a strip of road surface 2 (of a longitudinal dimension of a few centimetres); and, once one 'sweep' of road surface 2 is completed, gantry frame 12 is moved longitudinally along rails 15 to 'sweep' another strip of road surface 2.
- work parameter V is the travelling speed (crosswise) of dry blasting head 13.
- the higher work parameter V i.e. the faster dry blasting head 13 travels
- the lower macroroughness MR is.
- increasing the travelling speed of dry blasting head 13 reduces the amount of bitumen it removes, thus producing a 'smoother' road surface 2 (i.e. with a lower macroroughness MR).
- the first jobs only differ by work parameter V, i.e. only work parameter V differs from one first job to another, and all the other parameters (e.g.
- dry blasting pressure, dry blasting material type and size, and distance between dry blasting head 13 and road surface 2 remain unchanged, thus making the calibration process much simpler and more effective (i.e. in obtaining a more accurate, more repeatable target macroroughness MR TARGET ).
- the first job comprises directing a high-pressure water jet onto road surface 2.
- the first job, as opposed to dry blasting may comprise applying road surface 2 with chemical solvents (e.g. petrol or diesel fuel), the action of which, however, is much more difficult to control.
- chemical solvents e.g. petrol or diesel fuel
- a limited calibration portion 16 of road surface 2 ( Figure 1 ) of test area 1 is then defined. Calibration portion 16 is roughly one metre long, is typically located at one end of test area 1, and differs from and is located alongside calibration portion 9 (which at this stage is ignored).
- a number of second jobs, differing from one another by at least one work parameter P, are performed on calibration portion 16. In other words, a second job with different work parameters P is performed on calibration portion 16 of road surface 2 (roughly four to eight second jobs with respective different work parameters P are performed).
- the second jobs have a significant effect on the microroughness of road surface 2, and only a limited (substantially negligible) effect on the macroroughness of road surface 2.
- the final microroughness ⁇ R END of road surface 2 is measured after each second job performed on calibration portion 16 of road surface 2.
- the Figure 7 work parameter P/microroughness ⁇ R graph can be constructed by plotting the test points corresponding to the second jobs performed on calibration portion 16.
- the best work parameter P TARGET to achieve target microroughness ⁇ R TARGET can be extrapolated from the test points in the Figure 7 graph as a function of the final microroughness ⁇ R END measurements of the second jobs.
- a curve is drawn approximating the test points (i.e. measurements) of the second jobs in the work parameter P/microroughness ⁇ R plane, and is subsequently used to determine the best work parameter P TARGET as a function of target microroughness ⁇ R TARGET .
- the second job is performed over the whole of road surface 2 using the best work parameter P TARGET .
- the whole of road surface 2 (except for calibration portions 9 and 16, which are no longer used) therefore has a final microroughness ⁇ R END substantially equal to target microroughness ⁇ R TARGET (as well as a final macroroughness MR END substantially equal to target macroroughness MR TARGET ).
- each second job comprises drawing along road surface 2 (at a speed of roughly 1-15 cm/sec) a truck 17 mounted on rubber-tyred wheels 18, which are locked to slide along road surface 2.
- Truck 17 preferably comprises at least two separate axles 19, each of which supports a respective number of wheels 18, and is locked by a releasable lock to prevent wheels 18 from rotating.
- Wheels 18 on the two axles 19 are staggered, so that the footprint of each wheel 18 is complementary to and does not overlap those of the other wheels 18.
- each second job comprises wetting road surface 2 with water prior to passage of truck 17, to prevent the tyres of wheels 18 from leaving large amounts of rubber on road surface 2 (i.e. to prevent 'rubber coating' road surface 2).
- work parameter P is the number of passes of truck 17 along road surface 2.
- truck 17 is drawn 30 times along the whole of calibration portion 16 with wheels 18 locked, and final microroughness ⁇ R END after 30 passes is measured; truck 17 is then drawn another 30 times along the whole of calibration portion 16 with wheels 18 locked, and final microroughness ⁇ R END after 60 passes is measured; truck 17 is then drawn another 30 times along the whole of calibration portion 16 with wheels 18 locked, and final microroughness ⁇ R END after 90 passes is measured, and so on.
- the higher work parameter P is (i.e. the greater the number of passes of truck 17), the lower microroughness ⁇ R is.
- increasing the number of passes of truck 17 increases the 'smoothing' effect, thus producing a 'smoother' road surface 2 (i.e. with a lower microroughness ⁇ R).
- the second jobs only differ from one another by work parameter P, i.e. only work parameter P differs from one second job to another, and all the other parameters (i.e. tyre inflation pressure, the total mass of truck 17, the draw speed of truck 17 ...) remain unchanged, thus making the calibration process much simpler and more effective (i.e. in obtaining a more accurate, more repeatable target microroughness ⁇ R TARGET ).
- the second job comprises smoothing or abrading road surface 2 mechanically with a smoothing tool.
- target macroroughness MR TARGET is increased slightly (by roughly 5-10%) to allow for the effect of the second job on the macroroughness of road surface 2 when extrapolating the best work parameter V TARGET .
- the second job performed over the whole of road surface 2 to achieve target microroughness ⁇ R TARGET of road surface 2 still has some effect on (i.e. slightly reduces) the macroroughness of the road surface.
- the effect of the second job on the macroroughness of the road surface may either be ignored, or taken into account by slightly increasing target macroroughness MR TARGET when extrapolating the best work parameter V TARGET (i.e. after the first job, macroroughness is slightly higher than target macroroughness MR TARGET , and, after the second job, substantially equals target macroroughness MR TARGET ).
- the method described is fast and easy to implement, by simply involving, with respect to known methods, a few additional jobs (identical to those carried out over the whole of road surface 2) and a few additional roughness measurements (also identical to those performed on road surface 2) on very limited calibration portions 9 and 16.
Abstract
Description
- The present invention relates to a method of working a blacktop road surface to a target microroughness and target macroroughness.
- Vehicle tyre performance depends largely on the characteristics (typically micro- and macroroughness) of the road surface on which the tyres roll, so, to accurately compare the findings of tyre tests conducted at different times and/or on different test tracks, the test road surfaces must have the same characteristics (i.e. same micro- and macroroughness).
- Consequently, when asphalting (i.e. blacktopping) a new test area, the micro- and macroroughness of the road surface required for correct tyre testing are established beforehand. Once the new asphalt is laid, it is allowed to mature, and the new test area allowed to rest, for at least 2-4 weeks. At the end of the maturation period, the road surface has a more or less thick surface layer of bitumen 'concealing' the aggregate underneath, and so normally has a very high microroughness and a very low macroroughness. At the end of the maturation period, the road surface must therefore be worked to the required micro- and macroroughness.
- Correctly 'calibrating' the road surface micro- and macroroughness-altering work, however, is extremely complicated, on account of the effectiveness of the work depending significantly on numerous partly or totally uncontrollable factors. For example, the effectiveness of the work is strongly affected by sunlight and ambient temperature and humidity, not only when laying the asphalt but also during the maturation period. For example, asphalt laid in summer is normally harder and more compact than asphalt laid in winter, and is therefore normally less responsive to the road surface micro- or macroroughness-altering work.
- Road surface micro- and macroroughness-altering work is currently 'calibrated' solely on the basis of experience, but is very often 'calibrated' wrongly, with the result that it has to be redone (best case scenario) or the asphalt has to be removed and re-laid (worst case scenario).
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Patent US7850395B1 describes a road surface roughness analysis system, in which a wheel-mounted vehicle is run parallel to the road, and is equipped with an optical profilograph directed onto and for continuously measuring the roughness of the road surface. On the basis of the profilograph measurements, the road surface may be worked further, e.g. smoothed, to bring it up to specifications. - It is an object of the present invention to provide a method of working a blacktop road surface to a target microroughness and target macroroughness, designed to eliminate the above drawbacks, and which in particular is cheap and easy to implement.
- According to the present invention, there is provided a method of working a blacktop road surface to a target microroughness and target macroroughness, as claimed in the accompanying Claims.
- A non-limiting embodiment of the present invention will be described by way of example with reference to the accompanying drawings, in which:
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Figure 1 shows a schematic of a blacktop road surface worked using the method according to the present invention; -
Figure 2 shows a schematic front view of a device for measuring the micro- and macroroughness of theFigure 1 road surface; -
Figures 3 and4 show roughness test result graphs of theFigure 1 road surface; -
Figure 5 shows a graph of macroroughness mathematical processing in accordance with the method of the present invention; -
Figure 6 shows a schematic front view of a first processing device for processing theFigure 1 road surface and which substantially works on macroroughness; -
Figure 7 shows a graph of microroughness mathematical processing in accordance with the method of the present invention; -
Figure 8 shows a schematic plan view of a second processing device for processing theFigure 1 road surface and which substantially works on microroughness; -
Figure 9 shows a schematic side view of the second processing device inFigure 8 . - Number 1 in
Figure 1 indicates as a whole a tyre test area, which is in the form of a strip (roughly 1.5-3 metres wide and 20-50 metres long) and comprises an asphaltedroad surface 2, i.e. made of a bituminous conglomerate of aggregate (substantially pebbles), which forms the solid skeleton, and bitumen, which binds (i.e. 'glues') the aggregate together. - The main characteristics of
road surface 2 are microroughness or microtexture, which relates to roughness with a horizontal wavelength λ of below 0.5 mm; and macroroughness or macrotexture, which relates to roughness with a horizontal wavelength λ of 0.5 to 50 mm. - As shown in
Figure 2 , the micro- and macroroughness ofroad surface 2 are measured using anoptical measuring device 3, which comprises a gantry supportingframe 4 spanningroad surface 2; and alaser distance meter 5, which is fitted to supportingframe 4, is positioned vertically a small distance fromroad surface 2, and is aimed vertically downwards to 'observe'road surface 2. Anelectric motor 6 moveslaser distance meter 5 along supportingframe 4 and acrossroad surface 2, and the position oflaser distance meter 5 along supportingframe 4 is recorded by a position sensor 7 (more specifically, a high-resolution encoder). Finally, measuringdevice 3 comprises aprocessing unit 8 for processing the readings oflaser distance meter 5 andposition sensor 7. - In actual use, processing unit 8 (by controlling electric motor 6) moves
laser distance meter 5 acrossroad surface 2 on supportingframe 4, and, at the same time, records the readings oflaser distance meter 5 andposition sensor 7 at given (typically constant) measuring intervals. In other words, for each measuring point,processing unit 8 records the distance D recorded bylaser distance meter 5, and the corresponding position X oflaser distance meter 5 along supportingframe 4. Once recorded, the succession of distance D measurements as a function of positions X is processed mathematically (to ISO Standards) to give a synthetic indication of the roughness (divided into micro- and macroroughness) ofroad surface 2. Mathematical processing typically comprises a Fourier transform in the length domain to determine the spectrum of wavelengths λ in the recorded profile ofroad surface 2. - For example,
Figure 3 shows a so-called 'height histogram', i.e. the distribution of wavelengths λ in the recorded profile : the x axis shows wavelength λ, and the y axis the presence percentage.Figure 4 shows a so-called 'PSD - Power Spectral Density' graph : the x axis shows (in logarithmic scale) the inverse of wavelength λ (i.e. the 'spatial frequency'), and the y axis shows PSD (in logarithmic scale). From theFigure 4 graph, it is possible to estimate the macroroughness MR corresponding to the highest PSD value (at a high wavelength λ, i.e. low 'spatial frequency'), and the microroughness µR corresponding to the lowest PSD value (at a low wavelength λ, i.e. high 'spatial frequency'). - Once the asphalt of
road surface 2 of test area 1 is laid, it is allowed to mature, and test area 1 to rest, for at least 2-4 weeks. At the end of the maturation period, the target microroughness µRTARGET and target macroroughness MRTARGET ofroad surface 2 required for correct tyre testing are established beforehand. At first (i.e. at the end of the maturation period),road surface 2 has a more or less thick surface layer of bitumen 'concealing' the aggregate underneath, so its actual microroughness is normally very high (i.e. much higher than target microroughness µRTARGET), and its macroroughness is normally very low (i.e. much lower than target macroroughness MRTARGET) At the end of the maturation period,road surface 2 must therefore be worked to reduce its microroughness to target microroughness µRTARGET, and increase its macroroughness to target macroroughness MRTARGET. - Firstly, the initial macroroughness MRSTART of
road surface 2 is measured usingmeasuring device 3 described above. Alimited calibration portion 9 of road surface 2 (Figure 1 ) of test area 1 is then defined.Calibration portion 9 is roughly one metre long, and typically located at one end of test area 1. A number of first jobs, differing from one another by at least one work parameter V, are performed ondifferent sections 10 ofcalibration portion 9. In other words, a first job, with a first work parameter V, is performed on afirst section 10 ofcalibration portion 9 ofroad surface 2; a first job, with a second work parameter V different from first work parameter V, is performed on asecond section 10 ofcalibration portion 9 ofroad surface 2; a first job, with a third work parameter V different from the first and second work parameters V, is performed on athird section 10 ofcalibration portion 9 ofroad surface 2, and so on (roughly four to eight first jobs, with respective different work parameters V, are performed onrespective sections 10 of calibration portion 9). - The first jobs have a significant effect on the macroroughness of
road surface 2, and only a limited (substantially negligible) effect on the microroughness ofroad surface 2. - The final macroroughness MREND of
road surface 2 is measured after each first job performed oncalibration portion 9 of road surface 2 (i.e. on eachsection 10 of calibration portion 9). And theFigure 5 work parameter V/macroroughness MR graph can be constructed by plotting the test points corresponding to the first jobs performed onsections 10 ofcalibration portion 9. Using amply documented mathematical techniques, the best work parameter VTARGET to achieve target macroroughness MRTARGET can be extrapolated from the test points in theFigure 5 graph as a function of the final macroroughness MREND measurements of the first jobs. For example, as shown inFigure 5 , a curve is drawn approximating the test points (i.e. measurements) of the first jobs in the work parameter V/macroroughness MR plane, and is subsequently used to determine the best work parameter VTARGET as a function of target macroroughness MRTARGET. - Once the best work parameter VTARGET is determined, the first job is performed over the whole of
road surface 2 using the best work parameter VTARGET. After the first job, the whole of road surface 2 (except forcalibration portion 9, which is no longer used) therefore has a final macroroughness MREND substantially equal to target macroroughness MRTARGET. - As shown in
Figure 6 , each first job comprises dryblasting road surface 2 using adry blasting device 11.Dry blasting device 11 comprises agantry frame 12 resting on opposite sides of and spanningroad surface 2; and adry blasting head 13 facingroad surface 2, fitted movably to gantryframe 12, and moved acrossroad surface 2 by anelectric motor 14.Gantry frame 12 is preferably movable alongroad surface 2 on tworails 15 parallel to and on opposite sides ofroad surface 2. In actual use,dry blasting head 13 is moved alonggantry frame 12, acrossroad surface 2, to dry blast a strip of road surface 2 (of a longitudinal dimension of a few centimetres); and, once one 'sweep' ofroad surface 2 is completed,gantry frame 12 is moved longitudinally alongrails 15 to 'sweep' another strip ofroad surface 2. - In a preferred embodiment, work parameter V is the travelling speed (crosswise) of
dry blasting head 13. As shown clearly inFigure 5 , the higher work parameter V is (i.e. the fasterdry blasting head 13 travels), the lower macroroughness MR is. In other words, increasing the travelling speed ofdry blasting head 13 reduces the amount of bitumen it removes, thus producing a 'smoother' road surface 2 (i.e. with a lower macroroughness MR). In a preferred embodiment, the first jobs only differ by work parameter V, i.e. only work parameter V differs from one first job to another, and all the other parameters (e.g. dry blasting pressure, dry blasting material type and size, and distance betweendry blasting head 13 androad surface 2 ...) remain unchanged, thus making the calibration process much simpler and more effective (i.e. in obtaining a more accurate, more repeatable target macroroughness MRTARGET). - In a different embodiment not shown, the first job, as opposed to dry blasting, comprises directing a high-pressure water jet onto
road surface 2. By way of a further alternative, the first job, as opposed to dry blasting, may comprise applyingroad surface 2 with chemical solvents (e.g. petrol or diesel fuel), the action of which, however, is much more difficult to control. - After the first job is completed over the whole of
road surface 2, the initial microroughness µRSTART ofroad surface 2 is measured usingdevice 3. Alimited calibration portion 16 of road surface 2 (Figure 1 ) of test area 1 is then defined.Calibration portion 16 is roughly one metre long, is typically located at one end of test area 1, and differs from and is located alongside calibration portion 9 (which at this stage is ignored). A number of second jobs, differing from one another by at least one work parameter P, are performed oncalibration portion 16. In other words, a second job with different work parameters P is performed oncalibration portion 16 of road surface 2 (roughly four to eight second jobs with respective different work parameters P are performed). - The second jobs have a significant effect on the microroughness of
road surface 2, and only a limited (substantially negligible) effect on the macroroughness ofroad surface 2. - The final microroughness µREND of
road surface 2 is measured after each second job performed oncalibration portion 16 ofroad surface 2. And theFigure 7 work parameter P/microroughness µR graph can be constructed by plotting the test points corresponding to the second jobs performed oncalibration portion 16. Using amply documented mathematical techniques, the best work parameter PTARGET to achieve target microroughness µRTARGET can be extrapolated from the test points in theFigure 7 graph as a function of the final microroughness µREND measurements of the second jobs. For example, as shown inFigure 7 , a curve is drawn approximating the test points (i.e. measurements) of the second jobs in the work parameter P/microroughness µR plane, and is subsequently used to determine the best work parameter PTARGET as a function of target microroughness µRTARGET. - Once the best work parameter PTARGET is determined, the second job is performed over the whole of
road surface 2 using the best work parameter PTARGET. After the second job, the whole of road surface 2 (except forcalibration portions - As shown in
Figures 8 and9 , each second job comprises drawing along road surface 2 (at a speed of roughly 1-15 cm/sec) atruck 17 mounted on rubber-tyred wheels 18, which are locked to slide alongroad surface 2.Truck 17 preferably comprises at least twoseparate axles 19, each of which supports a respective number ofwheels 18, and is locked by a releasable lock to preventwheels 18 from rotating.Wheels 18 on the twoaxles 19 are staggered, so that the footprint of eachwheel 18 is complementary to and does not overlap those of theother wheels 18. In a preferred embodiment, each second job comprises wettingroad surface 2 with water prior to passage oftruck 17, to prevent the tyres ofwheels 18 from leaving large amounts of rubber on road surface 2 (i.e. to prevent 'rubber coating' road surface 2). - In a preferred embodiment, work parameter P is the number of passes of
truck 17 alongroad surface 2. For example,truck 17 is drawn 30 times along the whole ofcalibration portion 16 withwheels 18 locked, and final microroughness µREND after 30 passes is measured;truck 17 is then drawn another 30 times along the whole ofcalibration portion 16 withwheels 18 locked, and final microroughness µREND after 60 passes is measured;truck 17 is then drawn another 30 times along the whole ofcalibration portion 16 withwheels 18 locked, and final microroughness µREND after 90 passes is measured, and so on. - As shown clearly in
Figure 7 , the higher work parameter P is (i.e. the greater the number of passes of truck 17), the lower microroughness µR is. In other words, increasing the number of passes oftruck 17 increases the 'smoothing' effect, thus producing a 'smoother' road surface 2 (i.e. with a lower microroughness µR). In a preferred embodiment, the second jobs only differ from one another by work parameter P, i.e. only work parameter P differs from one second job to another, and all the other parameters (i.e. tyre inflation pressure, the total mass oftruck 17, the draw speed oftruck 17 ...) remain unchanged, thus making the calibration process much simpler and more effective (i.e. in obtaining a more accurate, more repeatable target microroughness µRTARGET). - In a different embodiment not shown, as opposed to a
truck 17 with lockedwheels 18, the second job comprises smoothing or abradingroad surface 2 mechanically with a smoothing tool. - In one possible embodiment, target macroroughness MRTARGET is increased slightly (by roughly 5-10%) to allow for the effect of the second job on the macroroughness of
road surface 2 when extrapolating the best work parameter VTARGET. In other words, albeit limited, the second job performed over the whole ofroad surface 2 to achieve target microroughness µRTARGET ofroad surface 2 still has some effect on (i.e. slightly reduces) the macroroughness of the road surface. The effect of the second job on the macroroughness of the road surface may either be ignored, or taken into account by slightly increasing target macroroughness MRTARGET when extrapolating the best work parameter VTARGET (i.e. after the first job, macroroughness is slightly higher than target macroroughness MRTARGET, and, after the second job, substantially equals target macroroughness MRTARGET). - The method described of working
road surface 2 has numerous advantages. - Firstly, it provides for accurately achieving both the target macroroughness MRTARGET and target microroughness µRTARGET of
road surface 2 of test area 1. This is made possible by the preliminary calibration work carried out oncalibration portions road surface 2. - Secondly, the method described is fast and easy to implement, by simply involving, with respect to known methods, a few additional jobs (identical to those carried out over the whole of road surface 2) and a few additional roughness measurements (also identical to those performed on road surface 2) on very
limited calibration portions
Claims (16)
- A method of working a blacktop road surface (2) to a target microroughness (µRTARGET) and a target macroroughness (MRTARGET); the method comprising the steps of:measuring the initial macroroughness (MRSTART) of the road surface (2);performing a number of first jobs, differing from one another by at least one first work parameter (V), on a limited first calibration portion (9) of the road surface (2);measuring the final macroroughness (MREND) of the road surface (2) at the end of each first job;extrapolating the best first work parameter (VTARGET), to achieve the target macroroughness (MRTARGET), as a function of the final macroroughness (MREND) measurements of the first jobs; andperforming the first job, using the best first work parameter (VTARGET), over the whole road surface (2).
- A method as claimed in Claim 1, wherein each first job comprises dry blasting the road surface (2) with a dry blasting device (11).
- A method as claimed in Claim 2, wherein the dry blasting device (11) comprises :a gantry frame (12) resting on opposite sides of and extending across the road surface (2); anda dry blasting head (13) directed onto the road surface (2) and fitted to the gantry frame (12) to move across the road surface (2).
- A method as claimed in Claim 3, wherein the gantry frame (12) is mounted to move along the road surface (2) on two rails (15) parallel to and on opposite sides of the road surface (2).
- A method as claimed in Claim 2, 3 or 4, wherein the first work parameter (V) is the travelling speed of the dry blasting head (13).
- A method as claimed in Claim 1, wherein each first job comprises directing a high-pressure water jet onto the road surface (2).
- A method as claimed in one of Claims 1 to 6, wherein the first jobs differ from one another solely by a first work parameter (V).
- A method as claimed in one of Claims 1 to 7, and comprising, after performing the first job over the whole road surface (2), the further steps of :measuring the initial microroughness (µRSTART) of the road surface (2);performing a number of second jobs, differing from one another by at least one second work parameter (P), on a limited second calibration portion (16) of the road surface (2);measuring the final microroughness (µREND) of the road surface (2) at the end of each second job;extrapolating the best second work parameter (PTARGET), to achieve the target microroughness (µRTARGET), as a function of the final microroughness (µREND) measurements of the second jobs; andperforming the second job, using the best second work parameter (PTARGET), over the whole road surface (2).
- A method as claimed in Claim 8, wherein each second job comprises drawing along the road surface (2) a truck (17) mounted on rubber-tyred wheels (18), which are locked to skid on the road surface (2).
- A method as claimed in Claim 9, wherein each second job comprises wetting the road surface (2) with water prior to passage of the truck (17).
- A method as claimed in Claim 9, wherein the second work parameter (P) is the number of passes of the truck (17) along the road surface (2).
- A method as claimed in Claim 8, 10 or 11, wherein the second jobs differ from one another solely by a second work parameter (P).
- A method as claimed in Claim 8, wherein each second job comprises subjecting the road surface (2) to mechanical smoothing or abrasion using a smoothing tool.
- A method as claimed in one of Claims 8 to 13, wherein the second calibration portion (16) differs from the first calibration portion (9).
- A method as claimed in one of Claims 8 to 14, and comprising the further step of slightly increasing the target macroroughness (MRTARGET) to extrapolate the best first work parameter (VTARGET), so as to take into account the effect of the second job on the macroroughness of the road surface (2).
- A method as claimed in one of Claims 1 to 15, wherein extrapolating the best first/second work parameter (VTARGET; PTARGET) comprises determining a curve approximating the first/second job measurements in the work parameter (V; P)/roughness (MR;µR) plane.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IT000988A ITTO20110988A1 (en) | 2011-10-28 | 2011-10-28 | METHOD OF WORKING A ROAD SURFACE MADE UP OF A BITUMOUS CONGLOMERATE IN ORDER TO OBTAIN A DESIRED MICRO-RUGOSITY AND MACRO-ROOTS |
Publications (2)
Publication Number | Publication Date |
---|---|
EP2586915A1 true EP2586915A1 (en) | 2013-05-01 |
EP2586915B1 EP2586915B1 (en) | 2015-08-26 |
Family
ID=45094153
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP12190459.3A Active EP2586915B1 (en) | 2011-10-28 | 2012-10-29 | Method of working a blacktop road surface to a target microroughness and a target macroroughness |
Country Status (3)
Country | Link |
---|---|
EP (1) | EP2586915B1 (en) |
ES (1) | ES2552357T3 (en) |
IT (1) | ITTO20110988A1 (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR724435A (en) * | 1931-10-09 | 1932-04-27 | A method of obtaining a non-slip road and a road executed using this method | |
DE10208988A1 (en) * | 2002-02-28 | 2003-09-18 | Baulabor Dr Ing Richter | Process for roughening road topping comprises partially removing the road topping using height-adjustable rotating roughening tools moving horizontally over the topping surface and rotating about a vertical axis |
US7850395B1 (en) | 2002-03-15 | 2010-12-14 | GOMACO Corporation a division of Godbersen Smith Construction Co. | Smoothness indicator analysis system |
-
2011
- 2011-10-28 IT IT000988A patent/ITTO20110988A1/en unknown
-
2012
- 2012-10-29 ES ES12190459.3T patent/ES2552357T3/en active Active
- 2012-10-29 EP EP12190459.3A patent/EP2586915B1/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR724435A (en) * | 1931-10-09 | 1932-04-27 | A method of obtaining a non-slip road and a road executed using this method | |
DE10208988A1 (en) * | 2002-02-28 | 2003-09-18 | Baulabor Dr Ing Richter | Process for roughening road topping comprises partially removing the road topping using height-adjustable rotating roughening tools moving horizontally over the topping surface and rotating about a vertical axis |
US7850395B1 (en) | 2002-03-15 | 2010-12-14 | GOMACO Corporation a division of Godbersen Smith Construction Co. | Smoothness indicator analysis system |
Also Published As
Publication number | Publication date |
---|---|
ES2552357T3 (en) | 2015-11-27 |
ITTO20110988A1 (en) | 2013-04-29 |
EP2586915B1 (en) | 2015-08-26 |
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