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Rock joint coefficients and their computerized classification

Abstract

A computerized method for determining rock joint coefficients is presented. Two relative similarity indicators are introduced to classify surface morphology of rock joints. The classification enables to compare investigated and database rock joints. Such a comparison aims at finding the couple of surfaces that are distinguished by the highest dynamical conformity. The first absolute indicator results from the Fourier matrix and evaluates wavy shapes of surfaces. The second absolute indicator quantifies the heights of surface reliefs and is defined as the root mean square height of the surface outline. Numerical reliability of these indicators is tested within the surface analysis of a series of limestone specimens. Besides the computerized assessment, 25 people have performed visual assessment of these limestone specimens. The results of visual assessments have been statistically processed and compared to the results received from the computerized procedure. The newly introduced absolute indicators have proved to be prospective numerical tools for evaluating joint rock coefficients.

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Rock joint coefficients and their computerized classification

Author: Ficker, Tomáš
Publisher: Elsevier
Year: 2019
DOI: 10.1016/j.ijmst.2019.07.002
Source: https://dspace.vut.cz/bitstreams/ef9831bf-cd3d-4652-8219-77b17e283fd8/download
Rock join coe icien s and hei compu e ized classi ica ion
Tomáš Ficke
Facul y o Ci il Enginee ing, B no Uni e si y o Technology, 60200 B no, Czech Republic
a icle in o
A icle his o y:
Recei ed 24 July 2017
Recei ed in e ised o m 8 No embe 2017
Accep ed 8 July 2019
A ailable online 12 July 2019
Keywo ds:
Rock join s
Shea s eng h
Join ock coe icien s
Nume ical indica o s
Compu e ized assessmen
abs ac
A compu e ized me hod o de e mining ock join coe icien s is p esen ed. Two ela i e simila i y indi-
ca o s a e in oduced o classi y su ace mo phology o ock join s. The classi ica ion enables o compa e
in es iga ed and da abase ock join s. Such a compa ison aims a inding he couple o su aces ha a e
dis inguished by he highes dynamical con o mi y. The i s absolu e indica o esul s om he Fou ie
ma ix and e alua es wa y shapes o su aces. The second absolu e indica o quan i ies he heigh s o
su ace elie s and is de ined as he oo mean squa e heigh o he su ace ou line. Nume ical eliabili y
o hese indica o s is es ed wi hin he su ace analysis o a se ies o limes one specimens. Besides he
compu e ized assessmen , 25 people ha e pe o med isual assessmen o hese limes one specimens.
The esul s o isual assessmen s ha e been s a is ically p ocessed and compa ed o he esul s ecei ed
om he compu e ized p ocedu e. The newly in oduced absolu e indica o s ha e p o ed o be p ospec-
i e nume ical ools o e alua ing join ock coe icien s.
Ó2019 Published by Else ie B.V. on behal o China Uni e si y o Mining & Technology. This is an open
access a icle unde he CC BY-NC-ND license (h p://c ea i ecommons.o g/licenses/by-nc-nd/4.0/).
1. In oduc ion
Recen ly, a new me hod o oughness assessmen o ock join s
has been ou lined [1]. The me hod has been designed as a ully
compu e ized p ocedu e whose scena io esembled he isual
me hod published by Ba on and Choubey [2,3]. In ha compu e -
ized me hod, isual assessmen was eplaced by nume ical assess-
men ealized by wo simila i y indica o s. In ha me hod, bo h
he simila i y indica o s we e ep esen ed by he ela i e uni less
a ios ha howe e we e occasionally nume ically uns able and,
in addi ion, he used ela i e o ms p o ed o be concep ually
p oblema ic.
In he p esen con ibu ion, a new e sion o he compu e ized
me hod is de eloped. In his me hod, he absolu e simila i y indi-
ca o s a e employed ins ead o he ela i e ones. The absolu e indi-
ca o s p o ide a non-p oblema ic concep ual solu ion and show
be e nume ical s abili y. The p esen s udy illus a es unc ional-
i y o he new absolu e indica o s and desc ibes all necessa y s eps
ha p ecede, accompany and accomplish he new compu a ional
p ocedu e. The ha dwa e and so wa e o he new p ocedu e ha e
been modi ied o be capable o p ocessing la ge ock species,
whose linea dimensions equal hose implemen ed in he Ba on
and Choubey s anda d isual me hod [2,3].
The con inual in e es in oughness coe icien s o ock join s is
caused by he ac ha he su ace oughness o ock join s consid-
e ably in luences he mechanical s abili y o ock masses. Su icien
s abili y o ock masses is a p e equisi e o he mechanical s abil-
i y o la ge ci il enginee ing s uc u es, such as unnels, dams o
b idges si ua ed in egions whe e he ock masses con ain discon-
inui ies. Join s, aul s, shea zones, bedding su aces o olia ions
a e some o he discon inui ies ha may cause s uc u al weakness
o ock masses. In he majo i y o cases, he s ess le el due o g a -
i y loads is smalle han he comp essi e s eng h o ocks; hus,
he e is li le endency o in ac ocks o ac u e. Howe e , he
discon inui ies si ua ed wi hin s eep slopes show a endency o
sliding. Shea s eng h a he han comp essi e s eng h is he e-
o e decisi e o s abilizing ock masses. Fo his eason, he assess-
men o he shea s eng h o ock discon inui ies is c ucial. Se e al
ac o s in luence shea s eng h: geome y o discon inui ies, su -
ace i egula i ies, physical p ope ies o adjacen ocks, in illing
ma e ials, and g oundwa e a e some o hem. I is no i ial o
decide which one is mos impo an . The ac is ha he su ace
i egula i y o ock join s is one o he mos impo an ac o s. Rock
join s a e o en plana and mos ly o m a space ne wo k embedded
in o ock masses (Fig. 1).
In geo echnics, he e is a long-las ing in e es in he su ace
mo phology and shea s eng h o ock join s. Se e al models o
calcula ing shea s eng h exis . These models ake in o accoun
aspe i ies as ele an ac o s in luencing shea s eng h. Pa on
[4] was p obably he i s who de eloped a shea s eng h model
o ough ock join s. His model was based on expe imen s ca ied
ou on saw- oo h iangula aspe i ies. La e on, Ladanyi and
A chambaul [5] succeeded in de eloping a model ha inco po-
h ps://doi.o g/10.1016/j.ijms .2019.07.002
2095-2686/Ó2019 Published by Else ie B.V. on behal o China Uni e si y o Mining & Technology.
This is an open access a icle unde he CC BY-NC-ND license (h p://c ea i ecommons.o g/licenses/by-nc-nd/4.0/).
E-mail add ess: [email p o ec ed]
In e na ional Jou nal o Mining Science and Technology 29 (2019) 701–709
Con en s lis s a ailable a ScienceDi ec
In e na ional Jou nal o Mining Science and Technology
jou nal homepage: www.else ie .com/loca e/ijms
a ed he mechanisms o sliding and shea ing o aspe i ies in o one
equa ion. Kula ilake e al. [6,7] published al e na i e peak shea
s eng h c i e ia o ock join s. Thei empi ical model o peak
shea s eng h is mul i-pa ame ic and akes in o accoun he
di ec ional dependence o he shea s eng h.
Ba on’s [2] model is one o he mos equen ly used models in
geo echnical p ac ice. Ba on and Choubey [3] showed expe imen-
ally ha he shea s eng h o ock join s
s
depends s ongly on
he aspe i ies o adjacen su aces, as ollows:
s
¼
n
g R
JRC
log
o
n

þU
b
 ð1Þ
whe e R
JRC
is he so-called join oughness coe icien (JRC),
n
he
no mal e ec i e s ess,
o
he e ec i e join wall comp essi e
s eng h (JCS) and
U
b
he basic ic ion angle (i.e. he ma e ial con-
s an ). The complexi y o e alua ing
s
consis s o he complexi y o
de e mining R
JRC
. The join oughness coe icien R
JRC
has no
assumed an exac analy ical exp ession ha would show accep able
pe o mance in all he cases whe e he join su aces may mani es
hemsel es. Ba on and Choubey [3] sugges ed calcula ing R
JRC
as
ollows:
R
JRC
¼
a c g
s
n

log
o
n
 ð2Þ
In addi ion, hey p oposed a sys em o 10 e e ence g aphical
su ace pa e ns oge he wi h he co esponding join oughness
coe icien s R
JRC
2(0, 20). These s anda d pa e ns o known R
JRC
alues enable isual assessmen o su ace i egula i ies o ock
join s. This isual assessmen may be a he subjec i e, bu is o en
used as a apid and app oxima e ool o de e mining R
JRC
alues.
A good o e iew o a ious me hods o measu ing and quan i-
ying he join oughness coe icien s in cu en geo echnical p ac-
ice has been published by Mo elli [8]. A comp ehensi e o e iew
o exis ing empi ical i ing pa e ns o JRC can be ound in he wo
ecen ly published pape s by Li and Zhang [9] and Li and Huang
[10]. In he i s pape Li and Zhang summa ize hose pa e ns
which employ a ious measu able opog aphic pa ame e s. The
second pape by Li and Huang summa izes exis ing empi ical i -
ing pa e ns o JRC ha a e based on he ac al dimensions D
o he measu ed p o iles o join ed su aces. O he wo pape s con-
ce ning beha iou o ock join s ha e appea ed only ecen ly
[11,12].
Besides he join oughness coe icien s, associa ed wi h he
Ba on isual me hod, he e a e a ious o he oughness coe i-
cien s ha can cha ac e ize su ace i egula i ies [13–17], bu he
join oughness coe icien s speci ied by Eq. (2) a e e y special
indica o s de i ed om expe imen al measu emen s o shea
s eng h de ined by Eq. (1). This makes hem op imally adap ed
o geo echnical pu poses.
Soon a e Ba on’s JRC concep [3] had been published, some
ollowe s appea ed who ied o exp ess he coe icien s R
JRC
in a -
ious analy ical o ms [18–21] using eg ession p ocedu es.
Al hough many o he sugges ed eg ession pa e ns p o ide good
esul s, he Ba on isual assessmen o join oughness coe icien s
emains he mos equen ly used me hod in geo echnical p ac ice.
The isual compa a i e me hod p oposed by Ba on [2] employs
he measu ed oughness coe icien R
JRC
assigned o each s anda d
wo-dimensional (2D) da abase p o ile. The measu ed JRC alues
ep esen one g ea ad an age o his me hod, since measu ed da a
a e usually close o eali y han hose gene a ed by heo e ical
models. Howe e , isual compa ison o su aces wi h he s anda d
pa e ns seems o be a he p oblema ic. When se e al people pe -
o m isual compa isons, i can ha dly be expec ed ha hey all
will come o iden ical esul s. The esul s will be s a is ically sca -
e ed mo e o less a ound an a e age alue. To a ain a eliable
a e age alue o R
JRC
, i is desi able o ask mo e people o hei
judgmen s (i.e. o use a la ge s a is ical ensemble). Howe e , he e
a e o he possibili ies as o how o a oid subjec i i y in he isual
me hod. One o hese possibili ies is a compu e ized assessmen
based on image ecogni ion, which seems o be a p omising
solu ion.
Employmen o he Fou ie o malism o classi ying su ace
shapes is no a new idea in he ield o geo echnics. Fou ie shape
desc ip o s ha e been used o classi ying mo phological ea u es
o g anula ma e ials o se e al decades [22–27]. In pa icula ,
sedimen ologis s ha e de eloped a ious me hods o he assess-
men o su ace mo phology o mic oscopic g ains. An in e es ing
applica ion o he Fou ie analysis o digi al imaging o pa icle
shapes has been published by We imuny and Penumady [26].
So a , he g ea majo i y o s udies ha e conce ned mic oscopic
single g ains in es iga ed p e alen ly in 2D egimes. To he bes o
ou knowledge, he e is a lack o Fou ie shape s udies conce ning
mac oscopic 3D su ace elie s o la ge ock specimens. Since Ba -
on’s isual me hod is based on he shape compa ison be ween la -
ge ock su aces, i s compu e ized coun e pa should also be
capable o p ocessing la ge species. This s udy aims a op imizing
such a me hod. P ope nume ical indica o s o su ace simila i ies
should be he co e o ha me hod. Finding such indica o s is no a
s aigh o wa d ma e , and equi es ho ough es s ha a e
desc ibed he e.
Fig. 1. Ne wo ks o ock join s si ua ed in he o me lime qua y ‘Hády’ nea he ci y o B no in he Czech Republic.
702 T. Ficke / In e na ional Jou nal o Mining Science and Technology 29 (2019) 701–709
2. Scanning 3D su aces
As has been men ioned, he shape classi ica ion o 3D objec s
equi es hei scanning and con e sion in o digi al o ms. To scan
digi ally 3D elie s o la ge ock samples (10 cm 6.67 cm), a spe-
cial pho og aphic echnique has been employed. I uses ho izon al
op ical sec ions made by he came a, mo able in he e ical di ec-
ion, abo e he in es iga ed su ace (see Fig. 2). To copy he su -
ace, i is necessa y o eco d many op ical sec ions (i.e. digi al
images aken in disc e e e ical posi ions). A ypical numbe o
sec ions amoun s o abou 200 images. Op ical sec ions se e as
inpu da a o he special so wa e ha o ms he disc e e 3D elie
(x
i
,y
i
). To supp ess he possible da a nonlinea i y and nons a ion-
a i y, p e-p ocessing p ocedu es ha e been inco po a ed in o he
so wa e like polynomial i ing and sub ac ing he global end
om he p o ile da a along wi h emo ing noise by means o a e -
aging he mul iplica i ely aken snapsho s.
One may ask a ques ion as o whe he he used sec ional econ-
s uc ion me hod shows a quali y compa able wi h o he digi al
me hods, e.g. wi h he scanning lase sys ems. A de ailed s udy
compa ing he sec ional me hod wi h he scanning lase sys em
has been ecen ly epo ed [27,28]. This s udy documen ed ha
he esul s o he sec ional me hod we e compa able wi h hose
o he lase scanning sys em. One o he many 3D elie s o med
by he sec ional me hod is shown in Fig. 3.
The ha dwa e used o cap u ing op ical sec ions consis s o he
pho og aphic came a Canon EOS 600D augmen ed by he objec i e
EF 100 mm /2.8 Mac o USM (Fig. 2). This objec i e possesses a su -
icien ly small dep h o op ical ield when i is se o /2.8. The pho-
og aphic came a is moun ed on a ough aluminum s and wi h a
s epping mo o , enabling disc e e mo emen in he e ical di ec-
ion. The mo emen consis s o equidis an posi ions a which he
came a akes snaps o he su ace. The dis ance be ween wo posi-
ions has o be se so ha i may no exceed he dep h o he op ical
ield o he objec i e. The dep h o he op ical ield should be a
leas se e al imes smalle han he a e age heigh o he su ace
p o usions, o he a e age dep h o he su ace dep essions.
The de eloped ha dwa e is usable no only in labo a o ies bu
also in ou doo e ain. The pho og aphic came a moun ed on an
assembly o wo ipods and equipped wi h a p ope s epping
mechanism may ake snaps o la ge pa s o ock elie s di ec ly
in ou doo spaces as shown in Figs. 4 and 5.
3. Fou ie 3D elie s o ock join s
Fo he mo phology analyses o ock join s, he Fou ie scheme
is p oposed. P o ided ha a 3D su ace elie is a ailable in a dis-
c e e scanned o m (x
i
,y
i
), i can be i ed by he Fou ie pa ial
sum:
ðx
i
;y
j
ÞF
N
ðx
i
;y
j
Þ
¼X
N1
k;n¼0
s
kn
a
kn
cos k
p
x
i
pcos n
p
y
j
qþb
kn
sin k
p
x
i
pcos n
p
y
j
q

þc
kn
cos k
p
x
i
psin n
p
y
j
qþd
kn
sin k
p
x
i
psin n
p
y
j
qð3Þ
whe e,
X¼ x2ðp;þpÞ;y2ðq;þqÞg ð4Þ
a
kn
¼1
pq ZZ
X
ðx;yÞcos k
p
x
pcos n
p
y
qdxdy ð5Þ
b
kn
¼1
pq ZZ
X
ðx;yÞsin k
p
x
pcos n
p
y
qdxdy ð6Þ
c
kn
¼1
pq ZZ
X
ðx;yÞcos k
p
x
psin n
p
y
qdxdy ð7Þ
d
kn
¼1
pq ZZ
X
ðx;yÞsin k
p
x
psin n
p
y
qdxdy ð8Þ
s
kn
¼
1k>0;n>0
1=2k¼0;n>0o k >0;n¼0
1=4k¼n¼0
8
>
<
>
:
9
>
=
>
;
ð9Þ
The symbol Nde ines he uppe bound (N-1) o he subsc ip s
n,k, and es ic s he numbe o e ms in he Fou ie pa ial sum
speci ied by Eq. (3).
Fig. 4. A modi ied op ical de ice adap ed o e ain scanning.
Fig. 2. A labo a o y scanning de ice o cap u ing 3D su ace elie s.
Fig. 3. A scanned elie o limes one su ace 10 cm 6.67 cm wi h a esolu ion o
720 pixels 480 pixels.
T. Ficke / In e na ional Jou nal o Mining Science and Technology 29 (2019) 701–709 703
To de elop a co esponding ma hema ical basis o he Fou ie
indica o s o 3D elie s, i is con enien o ew i e Eq. (3) as
ollows:
ðx
i
;y
j
Þ X
N1
k;n¼0
a
k
cos k
p
x
i
pþb
k
sin k
p
x
i
p


c
n
cos n
p
y
j
qþd
n
sin n
p
y
j
q

ð10Þ
whe e,
a
k
c
n
¼
s
kn
a
kn
b
k
c
n
¼
s
kn
b
kn
a
k
d
n
¼
s
kn
c
kn
b
k
d
n
¼
s
kn
d
kn
8
>
>
>
<
>
>
>
:
ð11Þ
Eq. (10) con ains a p oduc o wo e ms in b acke s. These
e ms ep esen ha monic wa es wi h cha ac e is ic wa eleng hs
k
x
=2p/kand k
y
=2q/n(in pixels). The unc ional p oduc s speci ied
by Eq. (10) ep esen 2D wa e modes possessing indices (k,n) and
wa eleng hs (k
x
,k
y
). A squa e ma ix M
N
o he Fou ie indica o s
D
N
(k,n) may be in oduced as ollows:
M
N
¼
D
N
ð0;0ÞD
N
ð0;1Þ:::::::::: D
N
ð0;N1Þ
D
N
ð1;0ÞD
N
ð1;1Þ:::::::::: D
N
ð1;N1Þ
::::::::::
::::::::::
D
N
ðN1;0ÞD
N
ðN1;1Þ:::::::::: D
N
ðN1;N1Þ
0
B
B
B
B
B
B
@
1
C
C
C
C
C
C
A
ð12Þ
D
N
ðk;nÞ¼ ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
ð
s
kn
a
kn
Þ
2
þð
s
kn
b
kn
Þ
2
þð
s
kn
c
kn
Þ
2
þð
s
kn
d
kn
Þ
2
qð13Þ
Some o he ma ix elemen s ha e special meanings. Fo exam-
ple, he i s elemen D
N
(0,0) = a
0,0
/4 is associa ed wi h an in ini-
i ely la ge wa eleng h and ep esen s a basic heigh o he
ho izon al le el. I s alue will be he la ges compa ed o all o he
ma ix elemen s. F om he iewpoin o he shape (wa e) analysis,
his i s diagonal elemen is i ele an and will be se o ze o. I
will no be aken in o accoun in u he conside a ion. The ma ix
M
N
is a cha ac e is ic ma ix and con ains all ele an wa e modes
o su ace elie s. One example o his ma ix plo ed in g aphical
o m as a unc ion o wo a iables k,nis p esen ed in Fig. 6.
Na u ally, i would be possible o s udy each pa icula indica-
o D
N
(k,n) o g oups o indica o s, and o e eal hei unc ionali y
associa ed wi h local mo phological ea u es o 3D elie s.
Undoub edly, he indica o s o lowe o de s (k,n< 10) bea in o -
ma ion on a global wa y shape o he elie , since hey co espond
o spa ial wa es o la ge wa eleng hs (i.e. small equencies). The
indica o s o highe o de s (k,n> 10) would undoub edly quan i y
a ine s uc u e o 3D elie s. All hese p ope ies can be obse ed
on he g aphical plo o he ma ix M
N
in Fig. 6, whe e he indica-
o s o lowe o de s mani es la ge alues (peak alues), whe eas
he indica o s o highe o de s quickly lose hei magni udes. How-
e e , a de ailed analysis o his kind would no be p ac ical. One-
alued indica o s enabling quick o ien a ion and a apid decision
a e needed. To each his goal, e o mula ing he ma ix M
N
is nec-
essa y. This ask is accomplished in he nex sec ion.
4. Classi ying su ace mo phology
P io o selec ing simila i y indica o s, i mus be clea which
su ace ea u es should be compa ed and wha should ac ually be
unde s ood unde he no ion o ‘su ace simila i y’. Only su ace
ea u es ha a e decisi e o he shea s eng h o ock join s ha e
o be p e e ably aken in o accoun . Ba on and Choubey [2,3]
di ided su aces o ock join s in o 10 ca ego ies acco ding o hei
Fig. 6. An example o he g aphical ou pu o he Fou ie ma ix M
N
(k,n).
Fig. 5. Rock elie scanned in e ain (A e [28,29]).
704 T. Ficke / In e na ional Jou nal o Mining Science and Technology 29 (2019) 701–709
mo phologies, s a ing om plana and smoo h su aces up o
wa y and ough su aces. Likewise, Bandis [30] desc ibed a se o
su aces acco ding o hei mo phologies, and men ioned h ee
basic shape ca ego ies, namely plana , undula ing and s epped su -
aces. He di ided each ca ego y in o h ee heigh subca ego ies,
namely he subca ego ies ha he e med as slickensided, smoo h
and ough. These ca ego ies and subca ego ies a e mu ually inde-
penden and may be combined in o nine di e en mo phological
pa e ns. Na u ally, his is a simpli ied classi ica ion and, in eali y,
u he a ian s o su ace p o iles may appea . Howe e , e en
om his simplis ic dis ibu ion, i is clea ha he shape and
heigh o he su ace p o iles a e wo ele an su ace ea u es ha
a e decisi e in he assessmen o he shea s eng h o ock join s.
These cha ac e is ics also play an impo an ole in e alua ing he
simila i y o ock join su aces.
Howe e , unde he e m ‘simila i y’ canno be unde s ood a
simple geome ical simila i y since join ed su aces show speci ic
dynamical p ope ies esul ed in shea s eng h ha is di ec ion-
ally dependen . Consequen ly, he co esponding shape indica o
should be sensi i e o he di ec ion o shea ing, i.e., i should be
o a ionally sensi i e. Such an indica o is capable o classi ying
he so called ‘dynamical simila i y’ o join ed su aces. On he o he
hand, he global heigh s o 3D p o iles a e independen o di ec-
ions and hus he co esponding heigh indica o should be in a i-
an o o a ions. I is necessa y o ind a leas wo independen
indica o s, one o which will classi y shape (plana i y, wa iness,
s epped shape, e c.) and will be o a ionally sensi i e whe eas
he second will classi y p o ile heigh and will show in a iance o
o a ion. The ma ix M
N
seems o be a good s a ing poin o o m-
ing a one- alued shape indica o , since his ma ix con ains ‘signa-
u es’ o all cha ac e is ic wa e modes o he su aces. As a heigh
indica o , he so-called oo mean squa e (RMS) pa ame e R
q
migh be con enien , since i e alua es global heigh s o su ace
p o iles. This global indica o is equen ly used when analyses o
su ace oughness a e pe o med [13–17].
Fo he pu pose o compa ison o join ed su aces, he ollowing
wo absolu e nume ical indica o s S, and Hwill be employed. The
i s indica o Sis de i ed om he elemen s D
N
(k,n) o he Fou ie
ma ix M
N
as a ue indica o o dynamical simila i y; and he sec-
ond indica o Hquan i ies he global in a ian heigh s o 3D su -
ace p o iles:
SðNÞ¼X
N1
k¼0
X
N1
n¼0
jD
ð0Þ
N
ðk;nÞD
N
ðk;nÞj ð14Þ
HðNÞ¼jR
ðoÞ
q
ðNÞR
q
ðNÞj ð15Þ
R
q
ðNÞ¼ ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
1
KLX
K
i¼1
X
L
j¼1
ðx
i
;y
j
ÞF
ðlowÞ
N
ðx
i
;y
j
Þ
hi
2
u
u
ð16Þ
whe e (x
i
,y
j
) is he scanned elie and F
ðlowÞ
N
ðx
i
;y
j
Þ ep esen s he
Fou ie elie , which se es as a basis o compu ing heigh di e -
ences. The auxilia y quan i ies R
q
ðNÞand R
ðoÞ
q
ðNÞa e RMS alues
ela ed o he es ed su ace and he da abase su ace, espec i ely.
The symbols D
N
(k,n) and D
ðoÞ
N
ðk;nÞin Eq. (14) a e associa ed wi h
he es ed su ace and he da abase su ace, espec i ely. The p o-
duc K·Lis a pixel esolu ion o he used digi al images o su aces.
In ou case K·L=720 pixels 480 pixels ( he colo pixel as e o he
CMOS senso o he came a), which co esponds o he a ea
10 cm 6.67 cm (measu ed on he samples). The symbol (x
i
,y
j
)
in Eq. (16) ep esen s he scanned elie .
In he i s phase o he mo phology esea ch o join ed su -
aces, we ied o ind nume ical indica o s independen o mea-
su ing echniques in o de he esul s coming om di e en
labo a o ies could be compa able. F om his iewpoin , he ela-
i e indica o s in oduced as ac ions in which he nume a o s
had absolu e o ms (see Eqs. (14) and (16)) whe eas he denom-
ina o s con ained he da abase e ms D
ðoÞ
N
ðk;nÞand R
ðoÞ
q
ðNÞ, espec-
i ely, seemed o be con enien [1]. Howe e , u he esea ch
showed ha ela i e indica o s a e no as nume ical s able as
he absolu e indica o s speci ied by Eqs. (14) and (16) and, in
addi ion, he denomina o s may occasionally change he igh
p edic ions o absolu e nume a o s. In o he wo ds, he ela i e
indica o s a e no as eliable as he absolu e indica o s. Fo his
eason, we ha e abandoned he ela i e indica o o ms in he
p esen pape and in oduced he absolu e indica o s de ined by
Eqs. (14) and (16) as con enien pa ame e s ha a e capable o
e ealing dynamical simila i ies o join ed su aces mo e eliably.
Fu he de ailed discussion conce ning unc ional beha iou o
he absolu e nume ical indica o s and hei p ope ies can be
ound elsewhe e [31].
I should be highligh ed ha he join ed su aces acqui ed by
d illing he e ain slopes usually show some a i icial base ha
is o en inclined o bended. This addi ional unwan ed pa s o
join s ep esen unc ional ends which a e no inhe en pa s
o join s and ha e o be emo ed. These unc ional ends can
be i ed by he Fou ie p o iles wi h su icien ly low N- alues,
i.e. F
ðlowÞ
N
ðx
i
;y
j
Þo by he wo-dimensional polynomials. These i -
ed disc e e unc ions se e as e e ence le els and a e employed
o co ec ing he scanned p o iles ( elie s) (x
i
,y
j
) as shown in
Eq. (16).
When compu ing he Fou ie ma ix speci ied by Eq. (12), he
co ec ed scanned p o ile has o be used as well, i.e.
Fig. 7. Eigh limes one species o a ious su ace ex u es selec ed o simila i y es s.
T. Ficke / In e na ional Jou nal o Mining Science and Technology 29 (2019) 701–709 705

½ ðx
i
;y
j
ÞF
ðlowÞ
N
ðx
i
;y
j
Þ !
ðco ec edÞ
ðx
i
;y
j
Þ. This co ec ed scanned
unc ion is hen used o compu ing he accu a e ma ix D
N
(k,n),
bu his ime i is necessa y o pe o m he Fou ie expansion wi h
a su icien ly high N- alue o ai h ully desc ibe all he su ace
i egula i ies including wa y shapes and aspe i y s uc u es.
Since he oo -mean-squa e heigh indica o His calcula ed
acco ding o Eqs. (15) and (16) as a di e ence be ween he e -
e ence le el F
ðlowÞ
N
ðx
i
;y
j
Þand he scanned elie (x
i
,y
j
), i.e. as a
wo-le el di e ence, he indica o His independen o o a ion.
The equi ed sensi i i y o he indica o S o he ope a ions o
o a ion dese es a de ailed discussion and can be ound in
Re . [31]. Bo h he indica o s Sand H ul ill he necessa y p op-
e ies o co ec assessing he dynamical con o mi y o h ee-
dimensional elie s.
Eqs. (14)–(16) should be capable o iden i ying such a da abase
elie ha shows he highes dynamical con o mi y wi h he elie
unde in es iga ion. When wo iden ical elie s a e compa ed, a ull
con o mi y (dynamical simila i y) mus be indica ed, and he wo
indica o s ha e o show ze o alues (S=0,H= 0). Such a si ua ion
can only a ely occu in p ac ice when wo independen elie s
a e compa ed. In he g ea majo i y o si ua ions, only incomple e
dynamical simila i y will be ound, which will be indica ed by some
minimum posi i e alues o shape and heigh indica o s, i.e. 0 < S,
0<H. In addi ion, heigh and geome ical shape a e wo mo e o
less independen p ope ies and may show a a ie y o combina-
ions. Acco dingly, he indica o s Sand Hmay show di e en
esul s in some si ua ions and in his case he esul associa ed wi h
a smalle alue o JRC should be accep ed since his alue is a he
side o highe sa e y. An analogous p oblem may a ise when a g oup
o people pe o ms isual assessmen s o ock join s.
The es s in he ollowing sec ion a e aimed a he unc ionali y
o he indica o s Sand H.
5. Tes o simila i y indica o s
Eigh agmen s aken om he o me limes one qua y ‘Hády’
nea he ci y o B no in he Czech Republic (Fig. 1) ha e been ga h-
e ed. Thei su aces (Fig. 7) ha e di e se mo phologies s a ing
om e y coa se (No. 3 in Fig. 7) up o e y ine (No. 6 in Fig. 7).
The agmen s do no ep esen eal ock join s, bu hei su ace
mo phologies co e almos he en i e ange o Ba on’s s anda d
p o iles [2]. These eigh su aces ha e been subjec ed o simila i y
es s. A pa icula su ace has been compa ed o he emaining
se en su aces ha play he ole o da abase su aces. This p oce-
du e was epea ed eigh imes, i.e., each su ace was compa ed o
he es o he o he da abase su aces. The compa a i e p ocedu e
Table 1
Visual and compu e assessmen s.
In es iga ed
su ace
Visual assessmen Compu e
assessmen
The mos simila
da abase su aces
The mos simila
da abase su aces
SH
14 44
2 3 and 8 8 8
32 22
41 11
58 88
67 77
76 66
8 5 and 2 5 5
Fig. 8. Values o S-indica o s compu ed o couples o su aces. The S-indica o s ha e o show ze o alues when wo iden ical su aces a e compa ed. The couples o iden ical
su aces a e as ollows: 1–1, 2–2, 3–3, 4–4, 5–5, 6–6, 7–7, and 8–8. These simple es s illus a e he co ec unc ionali y o he so wa e used.
706 T. Ficke / In e na ional Jou nal o Mining Science and Technology 29 (2019) 701–709
was pe o med bo h isually (subjec i ely) and au oma ically
(objec i ely) on he compu e .
Simila i y compa isons o su aces a e p oblema ic, since he e
a e no ools enabling a decision wi h absolu e ce ain y. Fo his
eason, we pe o med a double compa ison (i.e. isual and compu -
e ized) in o de ha he esul s may be con on ed.
5.1. Visual assessmen
To ob ain s a is ically ele an esul s, we asked 25 people o
classi y he su aces acco ding o he s anda d p o iles o Ba on
[2,3]. In his way, he co esponding JRC- alues ha e been asc ibed
o su aces and he couples o he mos dynamically simila su -
aces ha e been speci ied. Na u ally, hese indi idual decisions
we e no uni ied bu a he dispe sed. Since i was ha dly possible
o weigh s a is ically each decision, we calcula ed common a i h-
me ic a e ages o JRC alues and he couples o he mos simila
su aces ha e been sa ed in Table 1.
I should be highligh ed ha he isual assessmen s o ock su -
aces based on human judgmen s a e a he p oblema ic, since he
esul s a e a ec ed by s a is ical a iabili y caused by indi idual
human di e ences.
5.2. Compu e assessmen
The second ype o simila i y compa ison has been pe o med
on he compu e by using indica o s Sand H. Scanned su aces
No. 1-No. 8 (Fig. 7) we e con e ed in o he co ec ed Fou ie
elie s, om which he desc ip o ma ices M
N
(Eqs. (12) and
(13)) we e de i ed, and a e wa ds he alues o he global shape
indica o Sand he heigh indica o Hwe e e alua ed.
To e i y he unc ionali y o he so wa e, a simple es was
ca ied ou . The es was based on compa isons be ween one cho-
sen su ace and he eigh ‘da abase’ su aces among which he cho-
sen su ace was also p esen . Wi hin such a compa ison, whe e
wo iden ical su aces can be me , he simila i y indica o s Sand
Hha e o show ull dynamical simila i y (ze o alues). Figs. 8
and 9 show he esul s o such es s. The g aphs in hese plo s con-
i m ha he so wa e co ec ly iden i ied all eigh couples o iden-
ical su aces.
The main es s a e, howe e , ocused on simila i y compa isons
o non-iden ical su aces. An in es iga ed su ace was compa ed o
he emaining se en da abase su aces. The e a e eigh such
a angemen s: (i) su ace No. 1 e sus Nos. 2–8, (ii) su ace No. 2
e sus Nos. 1 and 3–8, (iii) su ace No. 3 e sus Nos. 1, 2 and 4–
8, (i ) su ace No. 4 e sus Nos. 1–3 and 5–8, ( ) su ace No. 5 e -
sus Nos. 1–4 and 6–8, ( i) su ace No. 6 e sus Nos. 1–5 and 7, 8,
( ii) su ace No. 7 e sus Nos. 1–6 and 8, ( iii) su ace No. 8 e sus
Nos. 1–7. All hese nume ical compa isons we e accomplished, and
he co esponding g aphs a e p esen ed in Figs. 10 and 11. In hese
g aphs, he co esponding mos simila da abase su aces a e indi-
ca ed by bold a ows.
Fig. 10 shows he esul s o simila i y compa isons pe o med
by means o he S-indica o s. Fo example, he chosen su ace
No. 1 is compa ed o he da abase su aces Nos. 2–8; i s da abase
coun e pa No. 4 was ound as i s mos simila pa ne among
he emaining da abase su aces. Acco dingly, in Fig. 10, he bold
a ow poin s o he da abase su ace No. 4. Since he compa isons
a e no pe o med be ween iden ical su aces, he alues o he
Fig. 9. Values o H-indica o s compu ed o couples o su aces. The H-indica o s ha e o show ze o alues when wo iden ical su aces a e compa ed. The couples o iden ical
su aces a e as ollows: 1–1, 2–2, 3–3, 4–4, 5–5, 6–6, 7–7, and 8–8. These simple es s illus a e he co ec unc ionali y o he so wa e used.
T. Ficke / In e na ional Jou nal o Mining Science and Technology 29 (2019) 701–709 707
Fig. 11. Compu e ized simila i y es s o non-iden ical su aces. Values o H-indica o s a e compu ed o he ollowing couples: 1 e sus 2–8; 2 s. 1, 3–8; 3 s. 1, 2, 4–8; 4 s.
1–3, 5–8; 5 s. 1–4, 6–8; 6 s. 1–5, 7, 8; 7 s. 1–6, 8; 8 s. 1–7. The a ows poin o he mos simila da abase su aces.
Fig. 10. Compu e ized simila i y es s o non-iden ical su aces. Values o S-indica o s a e compu ed o he ollowing couples: 1 e sus 2–8; 2 s. 1, 3–8; 3 s. 1, 2, 4–8; 4 s.
1–3, 5–8; 5 s. 1–4, 6–8; 6 s. 1–5, 7, 8; 7 s. 1–6, 8; 8 s. 1–7. The a ows poin o he mos simila da abase su aces.
708 T. Ficke / In e na ional Jou nal o Mining Science and Technology 29 (2019) 701–709
S-indica o s canno be equal o ze o, bu hey show small posi i e
non-ze o alues, which ep esen he o al minima o he S-g aphs.
The o he in es iga ed su aces (Nos. 2–8) we e ea ed
analogously.
Fig. 11 o e s esul s achie ed by means o he heigh
H-indica o s. The a angemen is he same as in Fig. 10, and he
bold a ows again poin o he mos simila da abase su aces. All
he esul s o he H-indica o s shown in Fig. 11 ag ee wi h hose
o he S-indica o s p esen ed in Fig. 10. The esul s o he simila i y
assessmen s achie ed by he wo indica o s Sand Ha e collec ed in
Table 1.
5.3. Compa ing isual and compu e assessmen s
Table 1 con ains he esul s o bo h he isual and compu e
assessmen s. Bo h hese assessmen s a e in good ag eemen . The
absolu e indica o s Sand Hseem o be con enien o he compu -
e ized simila i y assessmen s o ock join s. They cons i u e p inci-
pal ools in he de eloped so wa e code. Al hough hei p edic i e
esul s ha e been iden ical in all ou p esen ed es s and in many
o he s so a no published, i should be epea edly s essed ha
hese wo indica o s may some imes sligh ly di e in hei p edic-
ions especially when heigh and shape p ope ies o su ace elie s
a e no su icien ly co ela ed. In such cases he smalle JRC alue
should be p e e ably accep ed as a pa ame e ha gua an ees
highe sa e y.
The pe o med es s ha e shown ha he absolu e o ms o he
indica o s Sand Hha e succeeded in hei ole o simila i y indica-
o s inding ock join coe icien s associa ed wi h he da abase
elie s. The modi ied ha dwa e and so wa e we e capable o co -
ec ly p ocessing la ge ock su aces whose linea sizes we e ully
compa able o hose o he Ba on s anda d JRC p o iles.
6. Conclusions
The isual assessmen o he oughness o ock join s, o en used
in geo echnical enginee ing, may be eplaced by he ully compu -
e ized p ocedu e based on he absolu e heigh Hand shape Sindi-
ca o s. The absolu e unc ional o ms o hese indica o s ha e
p o ed o be nume ically mo e s able compa ed o he ela i e indi-
ca o s used p e iously. The compu e ized p ocedu e based on com-
pa ison wi h he da abase su aces o known JRC yields wo kinds o
he ock join coe icien s, namely JRC
H
and JRC
S
, which a e e med
acco ding o he indica o s Hand S. The alues JRC
H
and JRC
S
a e
usually iden ical, especially when he e is a highe co ela ion
be ween he heigh and wa y shapes o he su ace p o iles. Ne e -
heless, a weake co ela ion may cause a sligh di e ence be ween
hese wo coe icien s. In such a case, he weigh ed o simple a e -
age (JRC
H
+JRC
S
)/2 may be used bu he sa es solu ion is o accep
he smalle alue o hese wo magni udes.
The de eloped compu e ized compa a i e me hod is applicable
no only o he ock join s in geo echnics, bu also o o he ields o
science and echnology whe e su ace mo phology plays an impo -
an ole. The me hod is capable o p ocessing bo h he mic oscopic
and mac oscopic specimens and his makes he me hod e y
uni e sal.
Acknowledgmen s
This wo k was suppo ed by he G an Agency o he Czech
Republic unde con ac No. 13-03403S.
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