scieee Open visual document viewer

Modeling and experimental research of quay crane cargo lowering processes

Eglynas, Tomas

Abstract

This article studies an operational problem arising at a container terminal. Klaipeda city port operations were surveilled up close and relevant remarks were made. The time efficiency of the existing container-lowering procedures using the simulation studies with a test-bed and with a real life crane operation was examined. Statistical analysis of the experimental results has showed that non-automated processes have higher time variance for the lowering process. The operations of quay crane for container handling "ship-to-shore" were analyzed, and lowering procedures time variations were determined. Each container is transported at operators own risk and with pre-defined time efficiency; therefore, it is hard to predict the optimal time for each container handling operation, thus, eventually, additional costs arise. Mathematical model was developed, which described dynamical characteristics of the container movement during lowering procedures. The lowering crane operation was modeled using known dynamic values for each separate case, and the complexity of the problem was proven. The results of modeling and experimental results show that it is possible to achieve optimal values with the existing processes.

Full text

Resea ch A icle Ad ances in Mechanical Enginee ing 2019, Vol. 11(12) 1–9 ÓThe Au ho (s) 2019 DOI: 10.1177/1687814019896927 jou nals.sagepub.com/home/ade Modeling and expe imen al esea ch o quay c ane ca go lowe ing p ocesses To m a s E g l y n a s 1 , A unas Andziulis 1 , Ma ijonas Bogde ic ˇius 2 , Jolan a Janu _ enien_ e 3 , Se gej Jako le 1,3 , Valdas Jank unas 1 , Aud ius Senulis 1 , Mindaugas Jusis 1,4 , Paulius Bogde ic ˇius 2 and Saulius Gudas 4 Abs ac This a icle s udies an ope a ional p oblem a ising a a con aine e minal. Klaipeda ci y po ope a ions we e su eilled up close and ele an ema ks we e made. The ime e iciency o he exis ing con aine -lowe ing p ocedu es using he simula ion s udies wi h a es -bed and wi h a eal li e c ane ope a ion was examined. S a is ical analysis o he expe i- men al esul s has showed ha non-au oma ed p ocesses ha e highe ime a iance o he lowe ing p ocess. The ope - a ions o quay c ane o con aine handling ‘‘ship- o-sho e’’ we e analyzed, and lowe ing p ocedu es ime a ia ions we e de e mined. Each con aine is anspo ed a ope a o s own isk and wi h p e-de ined ime e iciency; he e o e, i is ha d o p edic he op imal ime o each con aine handling ope a ion, hus, e en ually, addi ional cos s a ise. Ma hema ical model was de eloped, which desc ibed dynamical cha ac e is ics o he con aine mo emen du ing lowe - ing p ocedu es. The lowe ing c ane ope a ion was modeled using known dynamic alues o each sepa a e case, and he complexi y o he p oblem was p o en. The esul s o modeling and expe imen al esul s show ha i is possible o achie e op imal alues wi h he exis ing p ocesses. Keywo ds Dynamics modeling, quay c ane, simula ion, expe imen al esea ch, con aine -lowe ing p ocess, s a is ical analysis Da e ecei ed: 24 Sep embe 2019; accep ed: 27 No embe 2019 Handling Edi o : James Baldwin In oduc ion In e modal shipping con aine s a e widely adop ed in he global anspo chain o deli e a ious goods o end-use s. Despi e he ob ious ad an ages, he e is s ill plen y o oom o imp o emen s when i comes o ime e iciency and quali y inc ease. Global anspo ma ke is a ne wo k o companies and end-use s, who ely on well-managed s anda ds and sys ems. Recen ends and numbe s sugges ha abou 90% o non- bulk global ade is being managed by shipping con- aine s wo ldwide. 1,2 Eu ope alone in 2016 managed 0.8 billion ons o ca go. 3 S a is ics shows ha du ing he 10-yea pe iod be ween 2007 and 2017, shipping quan i ies inc eased by 66% (up o 148 million TEUs), aking in o accoun he global me chandise ade by ma ine a ic. 4 Many enginee s and manage s wo ld- wide o esaw such apid inc ease. Ye , hey could no manage i in an op imal manne . Thus, e iciency is a c i e ion which needs o be inc eased in o de o adop new challenges o he u u e. Ca go loading ope a ions ely on loading and unloading speeds, sa e y o 1 Klaipeda Uni e si y, Klaipeda, Li huania 2 Vilnius Gediminas Technical Uni e si y, Vilnius, Li huania 3 VSB-Technical Uni e si y o Os a a, Os a a-Po uba, Czech Republic 4 Cybe -Social Sys ems Enginee ing G oup, Vilnius Uni e si y, Vilnius, Li huania Co esponding au ho : Tomas Eglynas, Klaipeda Uni e si y, He kaus Man o g. 84, LT-92294 Klaipeda, Li huania. Email: [email protected] C ea i e Commons CC BY: This a icle is dis ibu ed unde he e ms o he C ea i e Commons A ibu ion 4.0 License (h ps://c ea i ecommons.o g/licenses/by/4.0/) which pe mi s any use, ep oduc ion and dis ibu ion o he wo k wi hou u he pe mission p o ided he o iginal wo k is a ibu ed as speci ied on he SAGE and Open Access pages (h ps://us.sagepub.com/en-us/nam/open-access-a -sage). ope a ion, 5 and ene gy consump ion in he icini y o he po . 2 These ac o s end o make inal decisions when adop ing new and un es ed echnologies in p ac ice. The mode niza ion o con aine e minals h ough mode n ICT (in o ma ion and communica ion echnol- ogy) solu ions pa ly sol es he p oblems conce ning he ‘‘G een’’ e minal ini ia i e. 2 Au onomy o ope a- ions is adop ed in many a eas o con ol s abili y o con aine handling, anspo a ion using e minal ucks, au onomous guided ehicle (AGV), 6 and so on. E en now, newly buil c anes a e using ope a o on si e o manage he loading p ocedu es. 7 Each new ope a o sees he loading s anda ds as guidelines, bu no s ic ules. The e o e, c ane au onomy 8 is necessa y, in o de o inc ease he e iciency o adop ed s anda ds and eg- ula ions, mechanical sys ems, and associa ed po in es men s. An au onomous quay c ane is no an inno a ion on i s own. 9 These complex sys ems al eady exis . 10 They a e applied in many a eas o indus y including po ope a ions. 11 Howe e , mode niza ion o exis ing in as uc u e is a p io i y o mos compa- nies, wo king wi h con aine handling. Mo e p ac ical and eal solu ion is o mode nize exis ing sys ems, a he han pu chase all new expensi e in as uc u e. O e all, he e a e c ane s abiliza ion sys ems ha a e al eady in use, 12 bu hey mos ly lack o quali y eed- back and ope a o expe ience ha makes huge impac on he e iciency o hese expensi e sys ems. 13 In p ac ice, he ealiza ion o complex con ol solu- ions is limi ed by he luc ua ions o he sp eade wi h load. I s mo emen s a e andom in na u e, due o ex e nal impac s, such as wind o physical con ac wi h o he objec s. 14 I is di icul o p edic such andom de ia ions in p ac ice. The mos ad anced Eu opean po s, such as Ro e dam o Hano e , he handling p ocedu es and IT ope a ions a e mos ly au oma ed. Howe e , he inclusion o he mode n au oma ed quay c anes is s ill an inno a ion o smalle po s h ough- ou he wo ld. In he ligh o he esea ch and p og ess made in his a ea, 15–19 many po s in he wo ld lack he applica ion o hese inno a ions. Inc easing he ime e iciency o he ca go p ocess is a opical issue add essed in he scien i ic wo k, o which a ious solu ions a e p oposed, om manage- men algo i hms o ca go planning solu ions. 2,6,20 The quay c anes a e analyzed in he way o inc easing load- ing ime, 2,21 damping he load swinging du ing he loading–unloading p ocess 21 using addi ional eedbacks in con ol sys em wi h he p opo ional–in eg al–de i- a i e (PID) o p opo ional–in eg al (PI) con olle s o using a i icial in elligence analysis. 22,23 The p oblem add essed in he po is he c ane and he e minal uck synch oniza ion means. The c ane ope a o has o wai o he e minal uck o he e mi- nal uck has o wai o he ope a o o inish his unloading ou ine. Due o cons an ope a o aul s, he e is a delay in he end-o -shipmen p ocedu es. Especially, he con aine loading on e minal uck is managed di icul ly. Au ho s p opose o es analyze he lowe ing end p ocedu e o he u u e con ol solu- ion. The solu ion would use eal e minal uck and sp eade senso y da a. Depending on he ac ual posi- ion o he e minal uck o he c ane, 20 decisions a e made sys ema ically o slow down he speed o mo e- men so ha he a ge poin eached a he same ime by all in ol ed bodies. This sa es bo h ene gy esou ces and echnical esou ces, 6 and inc eases c ane and, con- sequen ly, he en i e po e iciency. Ma hema ical modeling o con aine - lowe ing p ocedu e by quay c ane The ma hema ical model o he quay c ane was de el- oped. The quay c ane consis s o asynch onous elec i- cal mo o , gea s, sha s, d um, cables, con aine , and ehicle. Because he mos impo an pa was he end o con aine loading, he sway o con aine was no aken in o accoun . The sway o con aine will be included in he u u e imp o ed model. The s uc u e o his model is shown in Figu e 1. In Figu e 1, I1,...,I9a e he mass momen s o ine - ia; R2,...,R9a e he adii; u1,...,u10 a e he angles ( o a ion angles); Mmo o is he quay c ane sp eade low- e ing mo o ; q1and q2a e he displacemen s; 12, 34, 56, 78 a e he sha s; 10 is he cable; and 11 is he ehicle suspension. In Figu e 2(a), His he ca go heigh , H 1 is he dis- ance be ween oad su ace and d um axis, H 2 is he dis ance be ween oad su ace and ehicle pla o m, L is he cable leng h, and F 12 is he con ac o ce. In Figu e 2(b), qiand qja e he gene alized displacemen s, eis he numbe o elemen ; ke,ce, and Dea e he s i - ness, damping coe icien s, and gap, espec i ely. The mechanical sys em in ques ion (Figu e 2) con- sis s o an elec ic mo o (1), gea s (2–9), cable, con- aine , and e minal uck. Main pa ame e s o he analyzed sys em in Figu es 1 and 2 a e 500 kW powe Figu e 1. The o e all dynamic model o he d i e. 2Ad ances in Mechanical Enginee ing in he main mo o used o lowe ing con aine , n= 995 /min, and equency o = 50 Hz. The main ansmission pa ame e s a e gi en in Table 1. The dynamics o he loading p ocess a e desc ibed in he equa ions below. Ca go dis ance om he axis o o a ion o he d um H( ), cable leng h L( ), dis ance be ween he ca go and he e minal uck is H 12 ( )a any gi en ime is gi en in equa ion (1) H ðÞ=L ðÞ+H0,L ðÞ=L0+q1 ðÞ, H12 ðÞ=H1H ðÞH2+q2 ðÞ ð1Þ He e, h 0 is he heigh o he ca go. The igidi y coe i- cien o he cable is gi en in equa ion (2) kLq1 ðÞ=ELAL L0+q1 ðÞ ð2Þ He e, ELand ALa e he cable elas ic modulus and c oss-sec ional a ea, espec i ely. The momen o ine - ia o he d um masses is gi en in equa ion (3) I10 =I10,0 2 10mL0L ðÞ ð3Þ He e, mL0is he mass pe uni leng h o cable. The equa- ions o mo ion o he load d i e a e de i ed using he second-o de Lag ange equa ion (4) d d ∂EK ∂qj  ∂EK ∂qj  +∂EP ∂qj  +∂D ∂qj  =Qjð4Þ He e, E k ,E P , and Da e he kine ic ene gy o he d i e, po en ial ene gy, and dissipa i e unc ion, espec i ely; qjand Qja e he j h gene alized coo dina e and o ce, espec i ely. The o que o asynch onous mo o MMo o ( he equa ion o a ia ion) is gi en in equa ion (5) M Mo o =c wM0_ 1  d MMo o ð5Þ He e, c and d a e he asynch onous mo o pa a- me e s, and wM0is he mo o o o synch onic angula eloci y. Asynch onous mo o o a ion (equa ion (6)) is gi en as I1€ 1=MMo o ðÞMb ðÞk12 1 2 ðÞ c12 _ 1_ 2  c1_ 1 ð6Þ He e, Mb( ) is he engine b aking o que; k12 and c12 a e he sha s i ness and esis ance coe icien s, espec- i ely; and 1, 2,_ 1,_ 2a e he i s and second body o a ion angles and angula eloci ies. Second- and hi d-gea o a ions (equa ions (7) and (8)) a e I2€ 2=k12 2 1 ðÞc12 _ 2_ 1  k23R2u23 c2_ 2 ð7Þ I3€ 3=k34 3 4 ðÞc34 _ 3_ 4  k23R3u23 c3_ 3 ð8Þ whe e u23 =d23psign d23p  +d23msign d23m ðÞð9Þ d23p=R2 2+R3 3D23 ...D23 ð10Þ He e, D23 is he gap be ween gea s 2 and 3 d23m=R2 2+R3 3+D23 ð11Þ He e, R2and R3a e he adii o he main ci cles o he gea s 2 and 3; sign(x)=1, when x.1and o he wise 0. The ou h- o nin h-gea o a ions a e calcula ed Figu e 2. Con aine loading sys em design diag am: (a) dynamic model o sp eade and anspo , and cable (b) scheme o nonlinea elemen . Table 1. The main pa ame e s o ansmission. Pa ame e Uni s Value Dis ance, H 1 m 11.0 Dis ance, H 2 m 1.50 Ini ial leng h o cable, L 0 m 2.0 Mass momen o ine ia o o o mo o , I 1 kg m 2 2.0 Mass momen o ine ia, I 2 kg m 2 0.0308 Mass momen o ine ia, I 3 kg m 2 0.368 Mass momen o ine ia, I 4 kg m 2 0.368 Mass momen o ine ia, I 5 kg m 2 0.445 Mass momen o ine ia, I 6 kg m 2 0.445 Mass momen o ine ia, I 7 kg m 2 0.710 Mass momen o ine ia, I 8 kg m 2 0.920 Mass momen o ine ia, I 9 kg m 2 0.920 Mass momen o ine ia, I 10 kg m 2 2.30 Mass o ca go and sp eade , m 1 kg 22,572.0 Mass o ehicle, m 2 kg 10,000.0 Mass o 1 m cable, mL0kg 1.0 Modulus o elas ici y o cable, ELGN/m 2 200.0 C oss sec ion a ea o cable, ALm 2 3.1415E24 S i ness coe icien o con ac , kcon ac MN/m 0.10E6 Damping coe icien o con ac , ccon ac MN s/m 0.010E6 In eg a ion ime s ep s 1.0E26 Eglynas e al. 3 simila ly as he second and hi d. Ten h gea o a ion equa ion is as equa ion (12) I10 € 10 =_ I10 _ 10 +1 2 ∂I10 ∂ 10 _ 10  2 k910 10  9 ðÞ c910 _ 10 _ 9  c10 _ 10 R10kLq1 ðÞR10 10 q1 ðÞ R10c10 R10 _ 10 _ q1  ð12Þ Ca go and ehicle mo emen equa ions (13) and (14) a e m1€ q1=_ m1_ q1kLq1R10 10 ðÞ cL_ q1R10 _ 10  +m1gF12sign d12 ðÞ +1 2R6 6q1 ðÞ 2ELAL L2  cae 0_ q1 ðÞ 2sign _ q1 ðÞ ð13Þ m 2q2=F12sign d12 ðÞ+m2gk2q2c2_ q2ð14Þ He e, q1,q2is he displacemen o masses m 1 and m 2 ; m1and _ m1a e he ca go, sp eade , and cable o al mass and i s de i a i e o ime, espec i ely; cLis he cable coe icien o esis ance; and cae 0is he ae odynamic o ce coe icien o esis ance (equa ion (15)) d12 =H2q2 ðÞH1Hq 1 ðÞðÞð15Þ He e, m 2 is he ehicle mass, and k2and c2is he coe i- cien s o ehicle suspension s i ness and esis ance, espec i ely. Thus, he ma hema ical model o quay c ane was cons uc ed and he esul s o con aine -lowe ing we e examined o he compa ison wi h he expe imen al da a and gi ing implica ion o he possible lowe ing ime educ ion. Expe imen al in es iga ion The aim o esea ch was o es he eal wo king condi- ions o he quay c ane, ope a o s wo k, he sp eade e iciency, and unnecessa y o ces accumula ed du ing con aine loading. 24 A simula ion model was de eloped and es ed. In ecen yea s, esea che s wo k closely wi h elec ically powe ed e minal ucks and c anes. 25 In o de o assess he need o synch oniza ion, au ho s conduc ed expe imen al esea ch in Klaipeda po . Du ing he expe imen al esea ch, he quay c ane ca - ied ou loading ope a ions, du ing which he da a we e collec ed. The p ac ical expe imen collec ed da a om 204 eal cycles o he loading p ocess om ship o he quay and back again. MK2 da a logge ha dwa e was used o hese expe imen al measu emen s (see Figu e 3). When de e mining he dynamic pa ame e s o he objec unde in es iga ion (in his case, he con aine ), da a abou i s accele a ion, speed, and posi ion in space we e measu ed and eco ded. Fo his pu pose, a DL1- MK2 da a logge (Race Technology, UK), a h ee-way accele ome e (gua an eed 2 g minimum ull scale on bo h axes; esolu ion o 0.005 g; op ional 6 g senso a ailable as a ac o y op ion) ib a ion measu emen s ( ib a ion ac o y es ed a 25 g, 50 Hz sinusoid o 5 min), was used o eco d and s o e ehicle mo ion dynamics pa ame e s. Fo posi ioning, he me e is connec ed o a GPS an enna (GPS—ou pu s posi ion, speed, posi ion accu acy, and speed accu acy e e y 200 ms wi h no in e pola ion; GPS acking loops op i- mized o applica ions up o abou 4 g; acking o all sa elli es in iew). Based on he ime cou se o he ehi- cle and he accele a ion eadings, he de ice measu es he speed o he es objec wi h an accu acy o 0.16 km/h, wi h a measu emen e o o up o 1%. Longi udinal and ans e se accele ome e s eco d accele a ions up o 20 m/s 2 and measu emen e o up o 0.05 m/s 2 . A e p ocessing he da a collec ed du ing he expe i- men al measu emen s, he en i e loading p ocess was di ided in o s ages o iden i y which echnological load- ing p ocess akes he longes . The pu pose o his expe imen was o iden i y p oblema ic ope a ions in he loading p ocess when scheduling a synch oniza ion ask, he eby jus i ying he need o synch oniza ion. By synch onizing indi idual po acili ies (such as e - minal ucks and quay c anes) and by planning ca go ope a ions acco dingly, i is possible o minimize he impac o hese p oblem a eas on he loading ime. These s ages and summa ized expe imen al esul s a e gi en in Table 2. Expe imen al measu emen s we e implemen ed when he ca go was shipped om he ship o he sho e. Depending on he loading p ocess, he ope a ions a e Figu e 3. DL1-MK2 da a logge (Race Technology, UK). 4Ad ances in Mechanical Enginee ing di ided in o se en s ages: (1) s a o li ing (hooking), (2) e ical li ing, (3) diagonal li ing, (4) ho izon al anspo a ion, (5) diagonal lowe ing, (6) e ical low- e ing, and (7) placing on e minal uck. The o e all loading cycle in he ship- o-sho e p ocess was also e al- ua ed. The summa ized esul s o expe imen al s udies show ha he en i e du a ion o he ship- o-sho e cycle o he loading p ocess du ing he ans e o ca go om he ship o he sho e is in acco dance wi h s a is ical log-no mal law. The numbe o da a n= 102 was measu ed ( om ship o sho e). The log-no mal law hypo hesis was es ed by Pea son’s x 2 c i e ion. The his og am o he expe imen al loading imes de e mined du ing expe i- men al measu emen s is shown in Figu e 4. A e analyzing he loading p ocess measu emen s in s ages, s eps 6 and 7 we e chosen o u he analysis, ha is, e ical lowe ing and posi ioning on he ehicle. These s ages de e mine he c ane- o- ehicle alignmen o op imize he loading p ocess and make i con inu- ous. In Figu e 5, he dis ibu ion o he e ical lowe - ing ime is p esen ed. We can see ha he e ical lowe ing mean ime o he con aine is equal o 7.3 s, and he e ical lowe ing heigh mean alue is 8.8 m, conside ing he s anda d de ia ion as 4.5 m. Hypo hesis o lowe ing ime dis ibu- ion by No mal law was es ed by Pea son’s x 2 c i e ion. Expe imen al esul s show ha he a e age weigh o he con aine load du ing he expe imen al measu emen s is 22.2 on and he s anda d de ia ion is 10.2 on, and coe - icien o a ia ion is 46%. In Figu e 6, he dis ibu ion o he loading phase du a ion is p esen ed, when he load is placed on he e minal uck and de ached. As we can see sho e in e als p edomina e, hey ep esen abou 50% o he o al (n= 102) measu e- men esul . A e age is abou 5.43 s; howe e , con aine placemen can ake up o 20 s. Du a ion o his s ep could be op imized by au oma ion o loading p ocess, and his p ocess could be abou 2 s, as show expe imen- al esul s. The pu pose o he synch oniza ion ask is o make he ehicle a i e when he load lowe ed du - ing he loading p ocess. The e o e, expe imen al mea- su emen s ca ied ou when he equipmen moun ed on a con aine anspo . Expe imen al esea ch measu ed Table 2. S a is ical da a o con aine loading ime. S age o loading Mean Min Max S anda d de ia ion Va ia ion coe icien (%) 1. S a o li ing (hooking) 2.43 0.62 11.47 1.84 76.01 2. Ve ical li ing 4.68 1.04 13.47 3.32 70.89 3. Diagonal li ing 5.14 0.79 9.84 1.97 38.28 4. Ho izon al anspo a ion 6.34 2.05 19.03 3.46 54.68 5. Diagonal lowe ing 6.36 2.72 23.97 3.05 47.90 6. Ve ical lowe ing 7.25 1.66 19.13 2.86 39.42 7. Placing on ehicle 5.43 2.36 20.43 2.99 55.16 To al (Ship- o-sho e) 37.63 26.91 63.87 7.68 20.42 Figu e 4. His og am o expe imen al load om ship- o-ship on he quay. Figu e 5. His og am o expe imen al measu emen s o e ical lowe ing o con aine owa d ehicle heigh . Eglynas e al. 5 he ajec o y o he e minal uck in he po a ea and i s wai ing ime a he c ane (see Figu e 7). The esul s show ha he wai ing ime o he ehicle a he con aine c ane a ies om 4 s o 34 min (2096 s). The a e age wai ing ime is 229 s and s anda d de ia ion 346 s. The p ocess is ex emely uns able wi h a coe icien o a ia ion o mo e han 150%. Du ing he expe imen al measu emen s, he ca go was also e alua ed (when moun ing he equipmen on he g ippe — he closes poin o he con aine ). Du ing hese expe imen al measu emen s, he eloci ies and accele a ions o he mo ing load we e measu ed. A e p ocessing he esul s, we selec ed he bes esul — he expe imen al esul o he as es lowe ing o he load (see Figu e 8). The esul s show ha in es iga ed case o load low- e ing e ically was done in 1.9 s. The lowe ing speed o his si ua ion is gi en in Figu e 8(a). As a esul , speed alues a e nega i e because he load is lowe ed. We also wa ched he luc ua ions o he load ha in luence he ull au oma ion o he p ocess. The load luc ua- ions in he ho izon al plane du ing lowe ing a e shown in Figu e 8(b). As one can no ice, con aine sways in a 10 cm bounda y. This alue sugges s ha he ca go lowe ed in a s able manne and no ou e o ces a ec he sway (wind gus s o ope a o mis akes). The expe imen al esul s show he need o mo e sophis ica ed con ol o he c ane–con aine e minal uck sys em, bu o wo k in eal si ua ion and o imp o e he pe o mance a e di icul due o he in e - en ion in o he po ope a ion. The e o e, he ma he- ma ical model o lowe ing he con aine was de eloped o make adequa e modeling and p oducing he ool o con ol sys em de elopmen . Resul s and discussion Du ing he nume ical simula ion, he ca go lowe ing p ocess was analyzed, which co esponds o he loading s age 6 o he expe imen al in es iga ions. Simula ion o he lowe ing p ocess was comple ed by e alua ing he o ce du ing con ac placing he load on he ehicle. The esul s o nume ical simula ion a e p esen ed in Figu e 9. Du ing nume ical simula ion, he load was lowe ed e ically down (see in Figu e 9(a)). Due o he high weigh o he load and he elas ici y o he cable, he damping occu s. Figu e 10 shows he si ua ion when he load is placed on a ehicle wi h a dynamic o ce F12 o ;180 kN (see Figu e 9(b)). Changes o o que momen o he gea wheels du ing lowe ing p esen ed in Figu e 10. Du ing he modeling phase, he gap be ween he gea ee h was es ima ed. As we see du ing he lowe ing o he load, i has a nega i e e ec ; i exci es he ib a- ions o he gea s. This a ec s he lowe ing p ocess; he ib a ions pass o he cable and consequen ly wo sen he loading condi ions. Figu e 11 shows he accele a- ion du ing ho izon al lowe ing, and in Figu e 11(a), he nume ical simula ions show ha he accele a ion alues inc ease signi ican ly when ca go has a con ac wi h e minal uck. This is consis en wi h expe imen- al measu emen s (Figu e 11(b) (poin 7)), wi h a signi - ican inc ease in accele a ion alues and exci a ion o he e minal uck when he load is applied. On com- pa ison, he esul s wi h he bes expe imen al da a ha was achie ed du ing he lowe ing (b) – was 2.4 s, bu modeling esul s show ha i is – in ideal condi ions – possible o make he ope a ion in 0.5 s (a). And, he esul s a e compa able in ime and ampli ude, hus Figu e 6. His og am o expe imen al measu emen con aine placemen on e minal ehicle. Figu e 7. His og am o expe imen al measu emen s o ehicle wai ing ime. 6Ad ances in Mechanical Enginee ing app o ing he model adequacy. So, he mean ime o las s age o lowe ing o con aine could be mo ed owa d he ange o 0.5–2.5 s. Figu es abo e demons a e ha when he con aine is placed on he e minal uck, addi ional dynamic o ce is added, which a some imes can be wice as la ge Figu e 8. Expe imen ally measu ed da a: (a) he speed o he ehicle in he z-di ec ion when he load lowe ed e ically and (b) con aine sway in ho izon al plane du ing lowe ing. Figu e 9. The esul o nume ical simula ion: (a) a ia ion o he e ical dis ance Ho he load o he ehicle and (b) a ia ion o impac o ce du ing loading. Figu e 10. Nume ical simula ion esul : o ques du ing load lowe ing. Eglynas e al. 7 as he le e ing con aine weigh . This is a known e ec in classical mechanics. Such egula i y is con- i med by he esul s o nume ical simula ion and expe imen al accele a ion measu emen s (see Figu e 11). Expe imen al measu emen s show a e y simila endency du ing con aine loading p ocedu es. Conclusion In his a icle, as a esul , we demons a e he gene ali- za ion o he measu emen s wi h eal quay c ane and e minal ehicle and p opose a ma hema ical model desc ibing he dynamic p ope ies o bo h. Expe imen al measu emen s ‘‘in si u’’ o con aine - lowe ing o e minal uck ha e been in es iga ed in de ail and s a is ical analysis o he new expe imen al esul s ca ied ou . Expe imen al measu emen s showed ha a iance coe icien eached up o 150% on inal handling ope a ion. These ope a ion du a ions a ied be ween 2.36 and 20.43 s, wi h a mean alue o 5.43 s. The en i e lowe ing cycle a ia ion coe icien eached 55.16%. Sho e ime bounda y shows ha he han- dling p ocess is op imizable up o wo imes by schedul- ing he ope a ions be ween quay c ane and e minal uck ope a o s and using specialized algo i hms o lowe ing p ocess con ol o each indi idual case. This in ac could p o ide s abili y o po ope a ions and make p ocesses and p ocedu es mo e agile o long- e m planning. Acco ding o hese new expe imen al da a and esea ch indings, u he plans will be p e- pa ed o de elop a me hodology o c ane and e minal uck, AGV synch oniza ion in eal ime and will be used o b idge he scheduling mechanisms in o a single eal- ime synch oniza ion sys em. Acknowledgemen s The au ho s hank o he p ojec (No. 01.2.2-LMT-K-718-01- 0081) membe s: D R Didziokas, D E Guseino iene, D M Ku mis, D D D ugnilas, and Z Lukosius o aluable insigh s and collec ion o da a on si e. Decla a ion o con lic ing in e es s The au ho (s) decla ed no po en ial con lic s o in e es wi h espec o he esea ch, au ho ship, and/o publica ion o his a icle. Funding The au ho (s) disclosed eceip o he ollowing inancial sup- po o he esea ch, au ho ship, and/o publica ion o his a icle: This esea ch was unded by he Eu opean Regional De elopmen Fund acco ding o he suppo ed ac i i y ‘‘Resea ch P ojec s Implemen ed by Wo ld-class Resea che G oups’’ unde Measu e No. 01.2.2-LMT-K-718-01-0081. ORCID iD Tomas Eglynas h ps://o cid.o g/0000-0002-9973-5896 Re e ences 1. Clausen U, Ka ka J and Meie F. CONTSIM—con- aine e minal managemen wi h simula ion. P ocedia: Soc Beha Sci 2012; 54: 332–340. 2. Ka akeb S, Nguyen TT, McGinley K, e al. G een ehi- cle echnology o enhance he pe o mance o a Eu - opean po : a simula ion model wi h a cos -bene i app oach. T ansp Res Pa C Eme g Technol 2015; 60: 169–188. 3. Eu opean Commission. Annex o mo o ways o he sea de ailed implemen a ion plan, 2018, h ps:// ayla. i/docu men s/20473/465955/Final-II-MoS-s udy-2018-2+Annex. pd /9cbe31a9-a de-4c79-9370-394bc864 a5 4. Benama a H. Role o in e na ional shipping. In: UNCTAD mul iyea expe mee ing on anspo , ade logis ics and ade acili a ion, Gene a, 21–23 No embe 2018, p.13. Gene a: Uni ed Na ions Con e ence on T ade and De elopmen . Figu e 11. Nume ical modeling (a) and expe imen (b) esul s compa ison. 8Ad ances in Mechanical Enginee ing 5. Speie C, Whipple JM, Closs DJ, e al. Global supply chain design conside a ions: mi iga ing p oduc sa e y and secu i y isks. J Ope Manag 2011; 29: 721–736. 6. Xin J, Negenbo n RR and Lodewijks G. T ajec o y planning o AGVs in au oma ed con aine e minals using a oidance cons ain s: a case s udy. IFAC P oc Vol 2014; 47: 9828–9833. 7. Hong KS and Ngo QH. Dynamics o he con aine c ane on a mobile ha bo . Ocean Eng 2012; 53: 16–24. 8. Zheng K, Lu Z and Sun X. An e ec i e heu is ic o he in eg a ed scheduling p oblem o au oma ed con aine handling sys em using win 40’ c anes. In: P oceedings o he 2010 second in e na ional con e ence on compu e modeling and simula ion, Sanya, China, 22–24 Janua y 2010, pp.406–410. New Yo k: IEEE. 9. Zhen L, Hu H, Wang W, e al. C anes scheduling in ame b idges based au oma ed con aine e minals. T ansp Res Pa C Eme g Technol 2018; 97: 369–384. 10. Alasali F, Haben S and Holde baum W. S ochas ic op i- mal ene gy managemen sys em o RTG c anes ne wo k using gene ic algo i hm and ensemble o ecas s. J Ene gy S o age 2019; 24: 100759. 11. Papaioannou V, Pie osan i S, Holde baum W, e al. Analysis o ene gy usage o RTG c anes. Ene gy 2017; 125: 337–344. 12. Liu D and Ge YE. Modeling assignmen o quay c anes using queueing heo y o minimizing CO 2 emission a a con aine e minal. T ansp Res Pa D T ansp En i on 2018; 61: 140–151. 13. Bichou K. An empi ical s udy o he impac s o ope a ing and ma ke condi ions on con aine -po e iciency and benchma king. Res T ansp Econ 2013; 42: 28–37. 14. A ena A, Laca bona a W and Casalo i A. Payload oscil- la ions con ol in ha bo c anes ia semi-ac i e ib a ion abso be s: modeling, simula ions and expe imen al esul s. P ocedia Enginee 2017; 199: 501–509. 15. Tuan LA, Cuong HM, T ieu P, e al. Adap i e neu al ne wo k sliding mode con ol o shipboa d con aine c anes conside ing ac ua o backlash. Mech Sys Signal P ocess 2018; 112: 233–250. 16. Sha M, Zhang T, Lan Y, e al. Scheduling op imiza ion o ya d c anes wi h minimal ene gy consump ion a con- aine e minals. Compu Ind Eng 2017; 113: 704–713. 17. Iles ˇS ˇ, Ma us ˇko J and Kolonic ´F. Sequen ial dis ibu ed p edic i e con ol o a 3D owe c ane. Con ol Eng P ac 2018; 79: 22–35. 18. Ve de ´s Kai uz RI, Aguila LT, de Loza AF, e al. Robus posi ioning con ol law o a 3D unde ac ua ed c ane sys- em. IFAC-Pape sOnline 2018; 51: 450–455. 19. Zhang M, Zhang Y, Chen H, e al. Model-independen PD-SMC me hod wi h payload swing supp ession o 3D o e head c ane sys ems. Mech Sys Signal P ocess 2019; 129: 381–393. 20. Li B, Liu H, Xiao D, e al. Cen alized and op imal mo ion planning o la ge-scale AGV sys ems: a gene ic app oach. Ad Eng So w 2017; 106: 33–46. 21. Gu ¨ en C and Eliiyi DT. T ip alloca ion and s acking pol- icies a a con aine e minal. T ansp Res P oc 2014; 3: 565–573. 22. Sun Z, Wang N, Bi Y, e al. A DE based PID con olle o wo dimensional o e head c ane. In: P oceedings o he 34 h Chinese con ol con e ence, Hangzhou, China, 28–30 July 2015, pp.2546–2550. New Yo k: IEEE. 23. Jaa a HI, Mohamed Z, Abidin AFZ, e al. PSO- uned PID con olle o a nonlinea gan y c ane sys em. In: P oceedings o he 2012 IEEE in e na ional con e ence on con ol sys em, compu ing and enginee ing (ICCSCE 2012), Ba u Fe inghi, Malaysia, 23–25 No embe 2012, pp.515–519. New Yo k: IEEE. 24. Pa k KP, Cha JH and Lee KY. Dynamic ac o analysis conside ing elas ic boom e ec s in hea y li ing ope a- ions. Ocean Eng 2011; 38: 1100–1113. 25. Bahnes N, Kecha B and Ha a H. Coope a ion be ween in elligen au onomous ehicles o enhance con aine e - minal ope a ions. J Inno Digi Ecosys 2016; 3: 22–29. Eglynas e al. 9