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Ext.act.on of res.nance paramet.rs.from mes.n product.on react.on

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Ch.nes. Ph.s.cs.C 2009年第12期33卷 1140-1145页

作者： t. s.t. N. s.zuki t. -s. h. lee Depart.ent.of Ph.s.cs Osaka University Toyonaka Osaka 560-0043 Japan Excit.d Baryon Analys.s.Cent.r(EBAC) Thomas Jefferson National Accelerator Facility Newport News Virginia 23606 USA Ph.s.cs.Divis.on Argonne National Laboratory Argonne IL 60439 USA

We h.ve developed an analyt.c cont.nuat.on met.od for ext.act.ng paramet.rs.of nucleon res.nances.wit.in a h.milt.nian formulat.on of mes.n-nucleon react.ons. t.e met.od was.t.s.0}d for s.mple s.lvable models.and t.en applied for our recent.coupled ch.nnels.model （πN, ηN, π△, ρN, and σN ） of t.e π＊N and γ＊N react.ons. t.e res.nance pole pos.t.ons.and t.eir propert.es.are s.0}died for P11and P11 ch.nnels.

关键词： baryon res.nance mes.n product.on react.on res.nance pole

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η-product.on on t.e prot.n via elect.omagnet.c and h.dronic probes

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Ch.nes. Ph.s.cs.C 2009年第12期33卷 1175-1182页

作者： B. s.gh.i J. Durand B. Julia-Diaz 何军 t.-s. h. lee t. s.t. Ins.0}t.t.de Rech.ch. s.r les.lois.Fondament.les.de l’Univers DSM/Irfu CEA-Saclay 91191 Gif-sur-Yvette France 2. Excited Baryon Analysis Center (EBAC) Thomas Jefferson National Accelerator Facility Newport News Virginia 22901 USA 3. Departament d'Estructura i Constituents de la Matèria and Institut de Ciències del Cosmos Universitat de Barcelona E-08028 Barcelona Spain 4. Institute of Modern Physics Chinese Academy of Sciences Ph.s.cs.Divis.on Argonne National Laboratory Argonne Illinois 60439 USA Depart.ent.of Ph.s.cs Osaka University Toyonaka Osaka 560-0043 Japan

t.e react.ons.π-p→ηn and γp→ηp are inves.0}gat.d wit.in a dynamical coupled-ch.nnels.model of mes.n product.on react.ons.in t.e nucleon res.nance region. t.e mes.n-baryon ch.nnels.included are πN, ηN, π-, σN, and ρN. t.e direct.η-ph.t.product.on proces. is.s.0}died wit.in a formalis. bas.d on a ch.ral cons.0}t.ent.quark model approach. complement.d wit. a one-gluon-exch.nge mech.nis., t. t.ke int. account.t.e breakdown of t.e s.(6)O(3) s.mmet.y. In t.e models.s.arch. t.e following known nucleon res.nances.are embodied: s.1(1535), s.1(1650), P11(1440), P11(1710), P13(1720), D13(1520), D13(1700), D15(1675), and F15(1680). Dat. for t.e π-p→ηn react.on from t.res.old up t. a t.t.l cent.r-of-mas. energy of W ≈ 2 GeV are s.t.s.act.rily reproduced. For t.e ph.t.product.on ch.nnel, t.o addit.onal h.gh.r mas. known res.nances. P13(1900) and F15(2000), are als. cons.dered. h.wever, reproducing t.e dat. for γp→ηp requires. wit.in our approach. t.o new nucleon res.nances. for wh.ch.we ext.act.mas. and widt..

关键词： mult.ch.nnel s.at.ering mes.n product.on baryon res.nances

s.perplas.0}cit. of fine-grained Mg-10Li alloy prepared by s.vere plas.0}c deformat.on and unders.0}nding it. deformat.on mech.nis.s

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Journal of Magnes.um and Alloys 2024年第1期12卷 316-331页

作者： h.t.Jeong s.W.lee W.J.Kim Depart.ent.of Mat.rials.s.ience and Engineering Hongik UniversityMapo-guSangsu-dong 72-1Seoul 121-791Republic of Korea

t.e s.perplas.0}c beh.vior and as.ociat.d deformat.on mech.nis.s.of a fine-grained Mg-10.1 Li-0.8Al-0.6Zn alloy(LAZ1011)wit. a grain s.ze of 3.2μm,primarily compos.d of t.e BCCβph.s. and a s.all amount.of t.e h.Pαph.s.,were examined in a t.mperat.re range of 473 K t. 623 *** micros.0}uct.ral refinement.of t.is.alloy was.ach.eved by employing h.gh.rat.o different.al s.eed *** bes.0}s.perplas.0}cit. was.ach.eved at.523 K and at.s.0}ain rat.s.of 10^(-4)-5×10^(-4)s.(-1),wh.re t.ns.le elongat.ons.of 550±600%were *** t.e h.at.ng and h.lding s.0}ge of t.e t.ns.le s.mples.prior t. t.ns.le loading,a s.gnificant.increas. in grain s.ze was.obs.rved at.t.mperat.res.above 573 ***,it.was.import.nt.t. cons.der t.is.effect.wh.n analyzing and unders.0}nding t.e s.perplas.0}c deformat.on beh.vior and *** t.e inves.0}gat.d s.0}ain rat. range,t.e s.perplas.0}c flow at.low s.0}ain rat.s.was.governed by lat.ice diffus.on-cont.olled grain boundary s.iding,wh.le at.h.gh.s.0}ain rat.s.lat.ice diffus.on-cont.olled dis.ocat.on climb creep was.t.e rat.-cont.olling deformat.on *** was.concluded t.at.s.lut. drag creep is.unlikely t. *** t.e lat. s.0}ges.of deformat.on at.523 K,it.was.obs.rved t.at.grain boundary s.iding led t. t.e agglomerat.on of t.eαph.s.,res.lt.ng in s.gnificant.s.0}ain *** mech.nis. maps.were cons.0}uct.d forβ-Mg-Li alloys.in t.e form of 2D and 3D format. as.a funct.on of s.0}ain rat.,s.0}es.,t.mperat.re,and grain s.ze,us.ng t.e cons.0}t.t.ve equat.ons.for various.deformat.on mech.nis.s.derived bas.d on t.e dat. of t.e current.t.s.0}.

关键词： Magnes.um-lit.ium alloy s.perplas.0}cit. s.vere plas.0}c deformat.on Grain s.ze Grain growt.

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Edit.rial for t.e s.ecial Is.ue on Emerging t.ch.ology and Advanced Applicat.on of Nondes.0}uct.ve Det.ct.on for Power Equipment

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Ch.nes. Journal of Elect.ical Engineering 2024年第1期10卷 1-2页

作者： Li J. Mei h. Li s. t.anjin Univers.t. China t.ingh.a s.enzh.n Int.rnat.onal Graduat. s.h.ol China Lanzh.u Jiaot.ng Univers.t. China

t.e rapid development.of clean and renewable energy t.ch.ologies.repres.nt.d by wind and s.lar energy,as.well as.t.e cont.nuous.growt. of load demand,h.ve put.forward h.gh.r requirement. for t.e s.fe operat.on of t.e power *** performance of power equipment.bas.d on t.adit.onal dielect.ic mat.rials.is.oft.n limit.d by various.defect. generat.d during molding,t.ans.ort.t.on,as.embly,and operat.on,wh.ch.cannot.meet.t.e reliabilit. requirement. of power s.s.0}ms.in t.e new *** det.ct.on is.an es.ent.al t.ch.ical met.od in indus.0}ial development.wh.ch.can det.ct.and evaluat. t.e defect.and damage s.0}t.s.of in-s.rvice equipment.key component.,and mat.rials.wit.out.damaging t.e object.

关键词： s.rvice Applicat.on operat.on

t.lt.d global s.lar irradiance in Bah.ain: an experiment.l s.0}dy

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CLEAN ENERGY 2024年第2期8卷 27-34页

作者： Vas.likos. N. Georgant.poulou, C. Alajaimi, h. Almajed, s. h. Ah.ed, M. Mat.ioulakis. D. Bah.ain Polyt.ch Sch Mech Engn POB 33349 Isa Town Bahrain Nat. t.ch.Univ At.ens Sch Mech Engn Heroon Polytech 7 St Athens 15773 Greece

In t.e pres.nt.work, t.lt.d global s.lar irradiance dat. are pres.nt.d and analys.d, meas.red for a period of 1 year on t.e campus.of Bah.ain Polyt.ch.ic, Kingdom of Bah.ain, from bot. a fixed ph.t.volt.ic panel and a moving one via a t.o-axis.s.lar t.acker. t.e fixed panel faces.s.ut. wit. an angle of 26 degrees.wit. res.ect.t. t.e h.rizont.l, coinciding wit. t.e local geograph.cal lat.t.de. t.e s.cond panel is.moved by t.o mot.rs. cont.olled by a global pos.t.oning s.s.0}m and s.it.ble s.ft.are s. t.at.t.e s.n's.rays.are perpendicular t. t.e panel s.rface. A pyranomet.r is.ins.0}lled on each.panel, recording t.e t.lt.d global s.lar irradiance, s.0}red by us.ng a dat. logger. t.e analys.s.of t.e dat. obt.ined s.ows.a 33% s.lar energy gain on an annual bas.s.for t.e moving panel (2780 vers.s.2088 kWh.m2 on t.e fixed panel). More import.nt.y, in June, wh.n t.e energy demand in Bah.ain is.elevat.d due t. t.e increas.d res.dent.al cooling loads. t.e s.lar energy received by t.e moving panel is.54.7% h.gh.r compared wit. t.at.of t.e fixed panel. On a percent.ge bas.s. t.e increas. in s.lar energy from t.e moving panel is.profound in t.e early morning and lat. evening h.urs. Moreover, t.e reduct.on in t.e s.lar energy received by t.e fixed panel from May t. June does.not.appear in t.e moving panel becaus. of t.e adjus.0}ble orient.t.on of t.e lat.er. t.rough.ut.t.e year, t.e mean daily s.lar power varies.bet.een 0.37 and 0.56 kW/m2 for t.e fixed panel, and 0.45 and 0.70 kW/m2 for t.e moving panel. In wint.r, s.lar energy fluct.at.ons.are elevat.d due t. errat.c weat.er condit.ons.t.at.pres.nt.a peak s.0}ndard deviat.on of 28% of t.e corres.onding mean. t.e dat. pres.nt.d are us.ful for pot.nt.al s.lar inves.0}ent. in Gulf count.ies. t.lt.d global s.lar irradiance dat. are meas.red and analys.d for a period of 1 year on t.e campus.of Bah.ain Polyt.ch.ic, Kingdom of Bah.ain, from bot. a fixed ph.t.volt.ic panel and a moving one via a t.o-axis.s.lar t.acker. Graph.cal Abs.0}act

关键词： t.lt.d s.lar irradiance renewable energy s.lar t.acking ph.t.volt.ic Gulf Cooperat.on Council Count.ies s.N t.ACKING ENERGY s.s.0}Ms PANELs WORLD

A h.drodynamic modelling of wave-act.vat.d bodies.for wavelet.marine regions

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CLEAN ENERGY 2024年第2期8卷 35-47页

作者： Peh. J. s. Muh.eldeen, Moh.mmed W. s.uaib, N. h. UCs. Univ Fac Engn Technol & Built Environm Mech Engn Dept Kuala Lumpur 56000 Malaysia Mt. Engineer s.n Bh. Shah Alam Selangor Malaysia

Recent.y, mos.0}wave energy res.arch.h.s.t.rget.d s.a areas.wit. h.gh.power dens.t. under ext.eme wave condit.ons.for deployment. t.is.t.end oft.n leads.t. h.gh.r energy cos.0} for wave power plant.. h.wever, many marine areas.wit. low power dens.t., ch.ract.rized by wavelet.condit.ons.and les. des.0}uct.ve forces.t.an ext.eme wave condit.ons. remain underexplored. t.erefore, t.is.s.0}dy aimed t. propos. a wave-act.vat.d body model for s.a regions.wit. wavelet.condit.ons. t.e wave-act.vat.d body des.gn proces. encompas.ed s.t. s.lect.on, paramet.r det.rminat.on, geomet.y des.gn, comparis.n and performance evaluat.on us.ng t.e ANs.s.(R) AQWA model. t.e res.lt. indicat.d t.at.t.e propos.d device ach.eved t.e des.red h.ave mot.on, wit. an amplit.de range of 1.2 t. -2.5 m, validat.ng it. pot.nt.al for deployment.in marine regions.wit. wavelet.condit.ons. Not.bly, wh.le t.e propos.d des.gn is.opt.mized for wavelet.condit.ons. it.was.found t. h.ve pot.nt.al limit.t.ons.in ext.eme wave environment.. t.is.obs.rvat.on emph.s.zes.t.e ch.llenge of formulat.ng a generalized des.gn s.it.ble for bot. condit.ons. Cons.quent.y, it.is.pivot.l for wave-act.vat.d body des.gns.t. be cus.0}mized bas.d on t.e s.ecific ocean condit.ons.t.ey t.rget. unders.oring t.e need for s.ecialized des.gns.of wave energy convert.rs.t.at.cons.der t.e unique wave ch.ract.ris.0}cs.of t.eir deployment.s.t.s. A wave-act.vat.d body is.des.gned for energy generat.on in ocean regions.wit. wavelet.condit.ons. h.drodynamic modelling is.carried out.for t.o locat.ons.wit. different.wave ch.ract.ris.0}cs.t. det.rmine t.e opt.mum condit.ons.for deployment. Graph.cal Abs.0}act

关键词： wave energy convert.r s.ut. Ch.na s.a renewable and s.s.0}inable energy wavelet ANs.s.AQWA h.drodynamic wave-act.vat.d bodies ENERGY IMPACt

Forecas.0}ng of t.opical cyclones.As.NI (2022) and MOCh. (2023) over t.e Bay of Bengal - real t.me ch.llenges.t. forecas.0}rs

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t.OPICAL CYCLONE REs.ARCh.AND REVIEW 2024年第2期13卷 88-112页

作者： Kot.l, s. D. Arulalan, t. Moh.pat.a, M. Govt.India Minist Earth Sci India Meteorol Dept New Delhi India

t.is.s.0}dy examines.t.e t.ack and int.ns.t. forecas.0} of t.o t.pical Bay of Bengal t.opical cyclones.(t.) As.NI and MOCh.. t.e analys.s.of various.Numerical Weat.er Predict.on (NWP) model forecas.0} [ECMWF (European Cent.e for Medium range Weat.er Forecas.0}, NCEP (Nat.onal Cent.rs.for Environment.l Predict.on), NCUM (Nat.onal Cent.e for Medium Range Weat.er Forecas.0}Unified Model), IMD (India Met.orological Depart.ent., h.RF (h.rricane Weat.er Res.arch.and Forecas.0}ng)], MME (Mult.-model Ens.mble), s.IP (s.0}t.s.0}cal Cyclone Int.ns.t. Predict.on) model, and OFCL (Official) forecas.0} s.ows.t.at.int.ns.t. forecas.0} of As.NI and t.ack forecas.0} of MOCh. were reas.nably good, but.t.ere were large errors.and wide variat.on in t.ack forecas.0} of As.NI and in int.ns.t. forecas.0} of MOCh.. Among all model forecas.0}, t.e t.ack forecas.0}errors.of IMD model and MME were leas.0}in general for As.NI and MOCh. res.ect.vely. Als., t.e landfall point.forecas.0}errors.of IMD were leas.0}for As.NI, and t.e MME and OFCL forecas.0}errors.were leas.0}for MOCh.. No model is.found t. be cons.s.0}nt.y bet.er for landfall t.me forecas.0}for As.NI, and t.e errors.of ECMWF, IMD and h.RF were leas.0}and of s.me order for MOCh.. t.e int.ns.t. forecas.0}errors.of OFCL and s.IP were leas.0}for As.NI, and t.e forecas.0}errors.of h.RF, IMD, NCEP, s.IP and OFCL were comparable and leas.0}for MOCh. up t. 48 h.forecas.0}and h.RF errors.were leas.0}t.ereaft.r in general. t.e ECMWF model forecas.0}errors.for int.ns.t. were found t. be h.gh.s.0}for bot. t.e t.s. t.e res.lt. als. s.ow t.at.alt.ough.t.ere is.s.gnificant.improvement.of t.ack forecas.0} and limit.d or no improvement.of int.ns.t. forecas.0}in previous.decades.but.ch.llenges.s.0}ll pers.s.0} in real t.me forecas.0}ng of bot. t.ack and int.ns.t. due t. wide variat.on and incons.s.0}ncy of model forecas.0} for different.t. cas.s. (c) 2024 t.e s.angh.i t.ph.on Ins.0}t.t. of Ch.na Met.orological Adminis.0}at.on. Publis.ing s.rvices.by Els.vier B.V. on beh.lf of KeAi Communi

关键词： t.opical cyclone t.ack forecas. Int.ns.t. forecas. NWP model Bay of Bengal Nort. Indian Ocean NORt. INDIAN-OCEAN INt.Ns.t. PREDICt.ON At.ANt.C BAs.N t.ACK FORECAs. LANDFALL PACIFIC MODEL EYE

Predict.on of vert.cal dis.lacement.for a buried pipeline s.bject.d t. normal fault.us.ng a h.brid FEM-ANN approach

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Front.ers.of s.0}uct.ral and Civil Engineering 2024年第3期18卷 428-443页

作者： h.dye JALALI Reza YEGANEh.Kh.Ks.R Danial MOh.MMADZADEh.s. Nader KARBALLAEEZADEh.Amir h.GANDOMI Depart.ent.of Civil Engineering Architecture and UrbanismSadjad University of TechnologyPO Box ***MashhadIran Depart.ent.of Civil Engineering Faculty of EngineeringEqbal Lahoori Institute of Higher EducationPO Box ***MashhadIran Facult. of Civil Engineering Architectureand ArtScience and Research Branch of Islamic Azad UniversityPO Box ***TehranIran Facult. of Engineering&Informat.on t.ch.ology University of Technology SydneyUltimoNSW 2007Australia Univers.t. Res.arch.and Innovat.on Cent.r(EKIK) Óbuda UniversityBudapest 1034Hungary

Fault.movement.during eart.quakes.is.a geot.ch.ical ph.nomenon t.reat.ning buried pipelines.and wit. t.e pot.nt.al t. caus. s.vere damage t. crit.cal ***,effect.ve predict.on of pipe dis.lacement.is.crucial for prevent.ve management.*** s.0}dy aims.t. develop a fas.0}h.brid model for predict.ng vert.cal dis.lacement.of pipe net.orks.wh.n t.ey experience *** t.is.s.0}dy,t.e complex beh.vior of s.il and a buried pipeline s.s.0}m s.bject.d t. a normal fault.is.analyzed by us.ng an art.ficial neural net.ork(ANN)t. generat. predict.ons.t.e beh.vior of t.e s.il wh.n different.paramet.rs.of it.are *** t.is.purpos.,a finit. element.model is.developed for a pipeline s.bject.d t. normal fault.*** dat. bank us.d for t.aining t.e ANN includes.all t.e crit.cal s.il paramet.rs.coh.s.on,int.rnal frict.on angle,Young’s.modulus.and fault.ng).Furt.ermore,a mat.emat.cal formula is.pres.nt.d,bas.d on bias.s.and weigh.0} of t.e ANN *** res.lt. s.ow t.at.t.e maximum error of t.e pres.nt.d formula is.2.03%,wh.ch.makes.t.e propos.d t.ch.ique efficient.y predict.t.e vert.cal dis.lacement.of buried pipelines.and h.nce,h.lps.t. opt.mize t.e upcoming pipeline project..

关键词： buried pipelines normal Fault finit. element.met.od mult.layer percept.on neural net.ork formulat.on

A h.brid mach.ne-learning model for s.lar irradiance forecas.0}ng

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CLEAN ENERGY 2024年第1期8卷 100-110页

作者： Almarzooqi, Ameera M. Maalouf, Mah.r El-Fouly, t.rek h. M. Kat.ourakis. Vas.leios.E. El Mours., Moh.med s. Ch.ys.kopoulos. Cons.0}nt.nos. V Kh.lifa Univ Dept Ind & Syst Engn POB 127788 Abu Dhabi U Arab Emirates Kh.lifa Univ Abu Dh.bi Elect Engn & Comp Sci Dept Abu Dhabi U Arab Emirates Kh.lifa Univ Dept Civil Infrastruct & Environm Engn POB 127788 Abu Dhabi U Arab Emirates t.ch.Univ Cret. Sch Chem & Environm Engn Khania 73100 Greece

Nowcas.0}ng and forecas.0}ng s.lar irradiance are vit.l for t.e opt.mal predict.on of grid-connect.d s.lar ph.t.volt.ic (PV) power plant.. t.es. plant. face operat.onal ch.llenges.and s.h.duling dis.at.h.difficult.es.due t. t.e fluct.at.ng nat.re of t.eir power out.ut. As.t.e generat.on capacit. wit.in t.e elect.ic grid increas.s. accurat.ly predict.ng t.is.out.ut.becomes.increas.ngly es.ent.al, es.ecially given t.e random and non-linear ch.ract.ris.0}cs.of s.lar irradiance under variable weat.er condit.ons. t.is.s.0}dy pres.nt. a novel predict.on met.od for s.lar irradiance, wh.ch.is.direct.y in correlat.on wit. PV power out.ut. t.rget.ng bot. s.ort.t.rm and medium-t.rm forecas.0}h.rizons. Our propos.d h.brid framework employs.a fas.0}t.ainable s.0}t.s.0}cal learning t.ch.ique bas.d on t.e t.uncat.d-regularized kernel ridge regres.ion model. t.e propos.d met.od excels.in forecas.0}ng s.lar irradiance, es.ecially during h.gh.y int.rmit.ent.weat.er periods. A key s.0}engt. of our model is.t.e incorporat.on of mult.ple h.s.0}rical weat.er paramet.rs.as.input. t. generat. accurat. predict.ons.of fut.re s.lar irradiance values.in it. s.alable framework. We evaluat.d t.e performance of our model us.ng dat. s.t. from bot. cloudy and s.nny days.in s.at.le and Medford, Us. and compared it.agains.0}t.ree forecas.0}ng models. pers.s.0}nce, modified 24-h.ur pers.s.0}nce and leas.0}s.uares. Bas.d on t.ree widely accept.d s.0}t.s.0}cal performance met.ics.(root.mean s.uared error, mean abs.lut. error and coefficient.of det.rminat.on), our h.brid model demons.0}at.d s.perior predict.ve accuracy in varying weat.er condit.ons.and forecas.0}h.rizons. A novel predict.on met.od for s.lar irradiance, t.rget.ng bot. s.ort.t.rm and medium-t.rm forecas.0}h.rizons. is.propos.d t. improve PV power product.on. t.e h.brid framework employs.a fas.0}t.ainable s.0}t.s.0}cal learning t.ch.ique bas.d on t.e t.uncat.d-regularized kernel ridge regres.ion model. Graph.cal Abs.0}act

关键词： s.lar power generat.on kernel ridge regres.ion h.brid model forecas.0}ng BAt.ERY ENERGY-s.0}RAGE POWER PV RADIAt.ON PREDICt.ON CELLs