2024-03-28T21:32:54Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/68902022-10-19T06:44:00Zcom_10259.4_104com_10259_2604col_10259_6848
Teijón-López-Zuazo, Evelio
Vega Zamanillo, Ángel
Calzada Pérez, Miguel A.
2022-09-16T10:37:47Z
2022-09-16T10:37:47Z
2021-07
978-84-18465-12-3
http://hdl.handle.net/10259/6890
10.36443/10259/6890
Infrastructure quality control must be done through an adequate control process, which
must be well planned, programmed and executed. It implies the revision of the specific
control procedures as part of the general objective of continuous improvement. It must be
applied to the construction of quarries with stone materials, called rockfills for large sizes
or random fillings for intermediate products. There continues to be a problem in terms of
compacting control methods in the execution of these diggings, with little practical
development of new techniques when the spread is of good – quality material an aspect
that must be revised in order to ensure the quality of the final result extended and
compacted. The current procedures for Quality Control in rock compaction have limited
operability. For example, the granulometric analysis with macro-pits (4m3) it is have done
with heavy fractions, being a destructive testing. The average density control by nuclear
methods has high heterogeneity, low performance and low thickness tested. The
topographic measurement settlement is the most accurate, but it is a poorly referenced
method. For the wheel impression test, the required values do not impose any limitation.
This research studies the application use to granites, slates and granitic alteration soils
stabilized using cement. The necessary field and laboratory works were developed in order
to elaborate new test procedures for a proposed compaction control in rocks. The
compaction control procedures revised were wheel impression test, topographic settlement
and plate load test (PLT). Doing simple regression on SPSS, in which any predictor
outcome variable (dependent) should be placed (independent). An analysis of variance
ANOVA shows the sums of squares and the degrees of freedom associated with each: is
significant at p < 0,05. There is less than 0,5% chance that an F Levene – ratio this large
would happen if the null hypothesis were true.
eng
info:eu-repo/semantics/openAccess
Infraestructuras
Infrastructures
Revision of the Spanish quality control procedure for rofills and random fillings
info:eu-repo/semantics/conferenceObject