Abstract
The Los Angeles test is one of the few mechanical test methods that provides information on the quality of railway ballast. However, the Los Angeles value is subject to large variability. Since important economic decisions depend on this value, the reasons for its variability are investigated. An extensive series of tests using four types of rock as well as an in-depth analysis of particle geometry and petrography are carried out. The impact of particle characteristics on the test results is investigated. The deviation of the petrographic composition within a given sample turns out to have a considerable impact on the Los Angeles test results, whereas the influence of the respective deviation of particle geometry is relatively small. The latter effect only comes into play in connection with petrographically homogeneous rock types. The distribution of the geometric features is similar in almost all of the rock types investigated. Due to the large deviation in particle shape and angularity, the sample mass of 10 kg (as provided in the standards EN 1097-2 and EN 13450) is not found to be representative. The necessary number of test repetitions in order to exclude the effect of deviation of particle geometry is estimated. The one result parameter according to the standard, the Los Angeles value, does not allow for discriminating between the amount of abrasion and the fragmentation occurring during the test. An additional result parameter for the estimation of the fragmentation rate is therefore proposed.
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References
Aschenbrenner B (1956) A new method of expressing particle sphericity. J Sediment Res 26:15–31
ASTM E177-90a (1992) Standard practice for use of the terms precision and bias in ASTM test methods. ASTM standards on precision and bias for various applications, 4th edn
Bach H, Kuttelwascher C, Latal C (2012) Alternative Prüfverfahren zur Qualitätssicherung von Gleissschotter. ZEVRail 136(3):176–185
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B 57:289–300
Deutsche Bahn (German Railways) (2006) Technische Lieferbedingungen Gleisschotter
DIN ISO 5725-1 (1997) Accuracy (trueness and precision) of measurement methods and results—Part 1: general principles and definitions
Dvoretzki A, Kiefer J, Wolfowitz J (1956) Asymptotic minimax character of the sample distribution function an of the classical multinomial estimator. Ann Math Stat 27(3):642–669
EN 933-3 (2012) Tests for geometrical properties of aggregates—Part 3: determination of particle shape—flakiness index
EN 933-4 (2008) Tests for geometrical properties of aggregates—Part 4: determination of particle shape—shape index
Erichsen E, Ulvik A, Saevik K (2011) Mechanical degradation of aggregate by the Los Angeles-, the micro-deval- and the Nordic test methods. Rock Mech Rock Eng 44:333–337
EUREKA (2001) Petroscope—an optical analyser for construction aggregates and rocks. Technical report 2569, Brussels
EUREKA (2005) Petroscope II. Technical Report 3665, Brussels
Hofer V, Bach H (2012) Statistical monitoring for continuous quality control of railway ballast. Eur J Oper Res, submitted
Hofer V, Pilz J, Helgason TS (2006) Statistical classification of different petrographic varieties of aggregates by means of near and mid infrared spectra. Math Geol 38(7):851–870
Lee J, Smith M, Smith L (2007) A new approach to the three-dimensional quantification of angularity using image analysis of the size and form of coarse aggregates. Eng Geol 91:254–264
Liu H, Kou S, Lindqvist P-A (2005) Microscope rock texture characterization and simulation of rock aggregate properties. Technical report SGU project 60-1362/2004, Geological survey of Sweden
Lung-Yut-Fong A, Lévy-Leduc C, Cappé O (2012) Homogeneity and change-point detection tests for multivariate data using rank statistics. arXiv:1107.1971 [math.ST]
ÖBB (Austrian Railways)—Infrastructure Department (2002) Richtlinie für das Entwerfen von Bahnanlagen—Hochleistungsstrecken (directive for the design of railway infrastructure—High speed railways), Vienna
ÖBB (Austrian Railways)—Infrastructure Department (2007) BH 700: Technische Lieferbedingungen für Oberbauschotter (engineering specifications for delivery of railway ballast)
ON EN 1097-2 (2006) Tests for mechanical and physical properties of aggregates—Part 2: methods for the determination of resistance to fragmentation. Austrian Standards Institute, Vienna
ON EN 13450 (2004) Aggregates for railway ballast. Austrian Standards Institute
Powers MC (1953) A new roundness scale for sedimentary particles. J Sediment Res 23(2):117–119
Raymond G, Bathurst R (1985) Repeated-load response of aggregates in relation to track quality index. Can Geotech J 31(4):547–554
Röthlisberger F, Däppen J, Kurzen E, Würsch E (2005) Los Angeles Prüfung für Gleisschotter—Aussagekraft und Folgerung. Eisenbahntechnische Rundschau, pp 355–361
Tolppanen P, Stephansson O, Stenlid L (2002) 3-d degradation analysis of railroad ballast. Bull Eng Geol Environ 61:35–42
Wieden P, Augustin H (1977) Versuche zur Verbesserung des Los Angeles Tests. Bundesministerium für Bauten und Technik
Zingg T (1935) Beitrag zur Schotteranalyse. Schweiz Mineral Petrogr Mitt 15:39–140
Acknowledgements
The authors thank the ÖBB Infrastruktur AG for providing the samples, and the ÖBB Stab Forschung und Entwicklung for financing the Petroscope 4D® measurement device.
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Appendices
Appendix A: Test on Homogeneity
Comparison of the rock types with regards to their geometric properties requires a nonparametric homogeneity test since the continuous geometric properties are not Gaussian. In the present study, the method proposed by Lung-Yut-Fong et al. (2012) is used. It is based on rank statistics similar to the univariate Wilcoxon Ranksum test, and it can be applied to more than two classes. Let X ij for i=1,…,G and j=1,…,n i be \(\mathbb{R}^{p}\)-valued random vectors, where G denotes the number of classes and n i denotes the number of samples within a class i. All of the marginal distributions are assumed to be continuous. The homogeneity test addresses the hypotheses H 0:X ij ∀i,j are identically distributed random vectors against H 1: at least two classes a,b∈{1,…,G} exist so that X aj are distributed differently than X bj . Let R ijk be the rank of variable X ijk for a fixed coordinate k=1,…,p, that is,
Using the average rank of coordinate k in class i,
the test statistic has the form
where \(\overline{\mathbf{R}}_{i}'= (\overline{R}_{i}^{1}-0.5(n+1),\ldots,\overline {R}_{i}^{p}-0.5(n+1))\), n is the total number of random vectors (i.e., n=∑ i n i ), and a p×p covariance matrix with entries
If H 0 holds, the test statistic is asymptotically χ 2 with (G−1)p degrees of freedom.
Appendix B: Abbreviations
(A) Raw data from Petroscope Size & Shape Analysis | |
Characteristic | Abbreviation |
Long axis | L [mm] |
Medium axis | I [mm] |
Short axis | S [mm] |
Minimum sieve size | d [mm] |
Volume | V [mm3] |
Flatness ratio S/I∈[0,1] | FR [–] |
Elongation ratio I/L∈[0,1] | ER [–] |
Proportion of Angles | PropA [%] |
(B) Additional characteristics in the present analysis | |
Characteristic | Abbreviation |
Mass of sample | m [g] |
Aschenbrenner’s working sphericity ∈[0,0.96] (Eq. (1)) | ψ′ [–] |
Volume of Angles PropA⋅V | VoA [mm3] |
Tensile stress in beam subject to point load F=1N (Fig. 4) | σ max [N/mm2] |
Mean tensile stress | σ max,50 [N/mm2] |
Particle count | N [–] |
{Characteristic} prior to test | {Characteristic} P |
{Characteristic} after test | {Characteristic} A |
(C) Results from LA test | |
Characteristic | Abbreviation |
LA value Proportion of particles with d<1.6 mm | LA RB [%] |
Fragmentation ratio N P /N A for particles with d∈ ]4,50[ mm | FragR [%] |
Loss of mass for d>31.5 mm (Eq. (3)) | LoM 31.5 [%] |
Fraction of LA value as result of rounding (Eq. (2)) | \(\mathit{FracLA}^{r}_{\mathrm{RB}}\) [–] |
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Hofer, V., Bach, H., Latal, C. et al. Impact of Geometric and Petrographic Characteristics on the Variability of LA Test Values for Railway Ballast. Math Geosci 45, 727–752 (2013). https://doi.org/10.1007/s11004-013-9472-3
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DOI: https://doi.org/10.1007/s11004-013-9472-3