{"id":390,"date":"2017-05-30T16:34:23","date_gmt":"2017-05-30T15:34:23","guid":{"rendered":"https:\/\/gwpolitoblog.wordpress.com\/?page_id=243"},"modified":"2023-06-12T13:46:12","modified_gmt":"2023-06-12T11:46:12","slug":"mnms","status":"publish","type":"page","link":"https:\/\/areeweb.polito.it\/ricerca\/groundwater\/it\/software\/mnms\/","title":{"rendered":"MNMs 2021"},"content":{"rendered":"
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\"\"MNMs 2021<\/b> (M<\/u><\/b>icro-and N<\/u><\/b>anoparticle transport, filtration and clogging M<\/b><\/u>odel – S<\/u><\/b>uite) \u00e8 uno strumento software per la simulazione del trasporto di colloidi in mezzi porosi e rappresenta l\u2019evoluzione di MNM1D<\/a> e E-MNM1D<\/a>, le cui funzionalit\u00e0 sono qui unite in un solo software. MNMs permette le simulazioni del trasporto di colloidi in presenza di condizioni idrochimiche costanti e transitorie, considerando anche un eventuale intasamento del mezzo poroso.<\/p>

MNMs pu\u00f2 essere eseguito in modalit\u00e0 diretta (per simulazioni predittive) e inversa (per l\u2019interpolazione di dati sperimentali). Questa seconda modalit\u00e0 consente all\u2019utente di stimare i coefficienti cinetici che governano il trasporto colloidale a partire dall\u2019interpretazione degli esiti dei test di laboratorio. Il software prende in considerazione i fenomeni di deposizione e rilascio che possono essere modellati con uno o due siti di interazione. Il fenomeno di deposizione in ogni sito pu\u00f2 essere modellato tramite diverse cinetiche di interazione: lineare, blocking, ripening e\/o straining. MNMs pu\u00f2 inoltre prendere in considerazione i fenomeni di intasamento del mezzo poroso attraverso la simulazione del progressivo aumento delle perdite di carico indotto dalla deposizione delle particelle colloidali. Viene inoltre simulata l\u2019eventuale natura non newtoniana dei fluidi vettori tipicamente impiegati per migliorare la stabilit\u00e0 delle particelle colloidali.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Esempio di un setup sperimentale alla scala di laboratorio impiegato per studiare il trasporto di particelle di ferro zerovalente in una colonna di sabbia satura [Tosco, Gastone, Sethi, 2014].<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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MNMs include anche strumenti, sia analitici che numerici, per l\u2019interpretazione di test di tracciamento e per il calcolo dei profili energetici di interazione particella-particella e particella-grano che seguono l\u2019approccio della teoria DLVO.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Interpretazione di un test di trasporto di microparticelle di ferridrite in una colonna di sabbia satura in condizioni di forza ionica variabile nel tempo. Il modello include un singolo sito attivo con cinetica di blocking [dati sperimentali da Tosco, Bosch et al. 2012].<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Calcolo di profili di interazione energetica particella-particella (sopra) e particella-sabbia (sotto) usando MNMs. I profili energetici sono calcolati secondo la teoria DLVO per diversi valori di forza ionica.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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L\u2019ultima versione di MNMs include uno strumento per la simulazione del trasporto di sospensioni colloidali in geometria radiale [Tosco, Gastone, Sethi, 2014]. Il modello radiale tiene conto delle propriet\u00e0 reologiche non newtoniane (pseudoplastiche o shear thinning) del fluido e dell\u2019intasamento del mezzo poroso dovuto alla filtrazione e sedimentazione nel mezzo poroso delle particelle colloidali. Il trasporto e le equazioni di flusso sono risolte in geometria radiale tenendo conto dell\u2019influenza della velocit\u00e0 e viscosit\u00e0 del fluido interstiziale sulle cinetiche di deposizione e rilascio.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Geometria radiale: modello concettuale ed esempio dei risultati di una simulazione [modificato da Tosco, Gastone, Sethi, 2014].<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Curve di flusso di soluzioni di gomma di guar per concentrazioni tra 1,5 e 7g\/l. I punti rappresentano i valori sperimentali, le linee continue rappresentano le curve del modello di Cross interpolate separatamente per ogni concentrazione di gomma di guar, le linee tratteggiate riportano le curve di viscosit\u00e0 calcolate usando il modello di Cross modificato (implementato in MNMs) per tenere conto della dipendenza della viscosit\u00e0 dalla concentrazione del polimero [Gastone, Tosco, Sethi, 2014].<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Le formule che esprimono la dipendenza dei coefficienti cinetici dalla velocit\u00e0 del fluido vettore presenti in letteratura sono comunemente basate su concetti di efficienza di collettore singolo (single collector efficiency) (Logan et al. 1995; Yao et al. 1971) per il coefficiente di deposizione, per la forza di trascinamento idrodinamico (Li et al.) e per il coefficiente di rilascio. MNMs implementa formule di diversi autori per il calcolo dell\u2019efficienza di collettore singolo, come ad esempio la formula classica proposta da Yao 1971 e la pi\u00f9 recente \u03b7MMs<\/sub> proposta da Messina et al. 2015. In particolare, la nuova equazione di correlazione \u03b7MMs<\/sub> fornisce valori di efficienza sempre inferiori a uno (condizione non sempre rispettata dalle altre formulazioni) ed \u00e8 valido sia per particelle di dimensione finita che puntuali. <\/p>

MNMs implementa uno strumento dedicato al calcolo dell\u2019efficienza di collettore singolo usando fino a sette formule diverse disponibili in letteratura. L\u2019utente pu\u00f2 comparare le curve di efficienza di collettore singolo ottenute da formule diverse o condizioni differenti al fine di prevedere il comportamento delle particelle nel mezzo poroso.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u03b7MMs: efficienza di collettore singolo proposta da Messina et al. 2015.\nConfronto con i modelli esistenti in un ampio range dimensionale delle particelle.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Si vedano le note in bibliografia per ulteriori dettagli.<\/p>\n

Le equazioni sono risolte in ambiente Matlab usando un approccio alle differenze finite.<\/p>\n

Per eseguire il software, \u00e8 necessario che il programma gratuito Matlab Compiler Runtime (R2010b ver. 7.14) sia installato sul PC (non \u00e8 richiesta la suite Matlab completa).<\/p>\n

MNMs \u00e8 scaricabile in versione di prova dai link riportati a fine pagina. La versione di prova ha le stesse funzionalit\u00e0 di quella con licenza, tranne che per la possibilit\u00e0 di salvare i progetti ed esportare i risultati della simulazione. Per ottenere una licenza per l\u2019utilizzo della versione completa si \u00e8 pregati di contattare: carlo.bianco[at]polito.it<\/b> oppure tiziana.tosco[at]polito.it<\/b>.<\/p>\n

Aiutaci a migliorare MNMs: segnala qualsiasi errore, bug o suggerimento.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Istituti con licenza<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Austrian Institute of Technology<\/b> – Department of Health & Environment;<\/p>\n

Bioforsk<\/b> – Norwegian Institute for Agriculture and Environmental Research;<\/p>\n

Bone Environmental Consultant<\/b> Ltd.;<\/p>\n

Comisi\u00f3n Nacional de Energ\u00eda At\u00f3mica<\/strong> (CNEA) <\/strong>– Divisi\u00f3n Qu\u00edmica de la Remediaci\u00f3n Ambiental<\/p>\n

Deltares<\/b>;<\/p>\n

Helmhotz Centre for Environmental Research<\/b> – UFZ;<\/p>\n

Helmholtz-Zentrum Dresden <\/b>– Reactive Transport Division of the Institute of Resource Ecology;<\/p>\n

Helmhotz Zentrum Munchen<\/b> – Insitute of Groundwater Ecology;<\/p>\n

Institut de M\u00e9canique et d\u2019Ing\u00e9nierie<\/b> \u2013 TREFLE Fluides et Transferts – Bordeaux<\/p>\n

Intrapore GmbH – <\/strong>Essen (Germany)<\/p>\n

Jacobs University Bremen<\/b> – Downstream BioProcessing Laboratory;<\/p>\n

KAUST<\/b> King Abdullah University of Science and Technology<\/b> – Computational Transport Phenomena Laboratory;<\/p>\n

Slovak University of Technology<\/b> in Bratislava – Department of Mathematics and Descriptive Geometry;<\/p>\n

Stockholm University<\/strong> – Department of Physical Geography<\/p>\n

Stuttgart University<\/b> – Institute for Modelling Hydraulic and Environmental Systems – VEGAS facilities;<\/p>\n

Teesside University<\/strong> – School of Science, Engineering & Design;<\/p>\n

The French National Institute for Agricultural Research<\/b>;<\/p>\n

UC Davis<\/strong> – University of California, Civil & Environmental Engineering;<\/p>\n

University of Chemistry and Technology, Prague (UCT)<\/b>;<\/p>\n

University of Gothenburg, Sweden<\/b> – Department of Chemistry & Molecular Biology<\/p>\n

The Sir Colin Campbell Building University of Nottingham Innovation Park –<\/b>Land Quality Management Ltd.;<\/p>\n

University of Leeds<\/b> – School of Chemical and Process Engineering;<\/p>\n

University of Manchester – <\/b>School of Earth, Atmospheric and Environmental Sciences;<\/p>\n

University of Potsdam<\/b> – Institute of Earth and Environmental Science<\/p>\n

University of Tehran<\/b>;<\/p>\n

University of Utrecht<\/b> – Department of Earth Sciences;<\/p>\n

University of Vienna<\/b> – Department of Environmental Geosciences;<\/p>\n

Vienna University of Technology <\/b>– Institute of Hydraulic Engineering and Water Resources Management.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Assistenza<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Contattaci a: mnms.help@gmail.com<\/a><\/p>

Guida all'installazione su Windows<\/a><\/p>

Step by step Tutorial e file di esempio<\/a><\/p>

MNMs forum di discussione<\/a><\/p>

MNMs storia<\/a><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Scarica l'ultima versione<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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MCR – Matlab Compiler Runtime<\/p>

Per MNMs 3.007 o versioni pi\u00f9 recenti: MCR R2017b<\/a><\/strong><\/p>

Per MNMs 3.005 o versioni precedenti: MCR 7.14 32 bit<\/a> \/ 64 bit<\/a><\/p>

\"\"MNMs software<\/strong><\/p>

<\/strong><\/span><\/span><\/p>

MNMs 2021 v. 3.019 (18-10-2021)<\/a><\/b><\/strong><\/span><\/p>

\u00a0<\/strong><\/span><\/p>

MNMs 2018 v. 3.018 (28-08-2020) <\/a>
 MNMs 2018 v. 3.014 (25-03-2020) <\/a><\/b><\/strong><\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Bibliografia<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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SINGLE COLLECTOR EFFICIENCY<\/h2>\n

Messina, M.; Marchisio, D.; Sethi, R., 2015. An extended and total flux normalized correlation equation for predicting single-collector efficiency. Journal of Colloid and Interface Science, Volume 446, 15 May 2015, Pages 185-193. <\/span>[link<\/a>]<\/p>\n\n

INFLUENCE OF IONIC STRENGTH<\/h2>\n

Tosco, T.; Tiraferri, A.; Sethi, R., 2009. Ionic Strength Dependent Transport of Microparticles in Saturated Porous Media: Modeling Mobilization and Immobilization Phenomena under Transient Chemical Conditions. Environmental Science & Technology , 43(12), 4425-4431. <\/span>[link<\/a>]<\/p>\n

Tosco, T.; Sethi, R., 2009. MNM1D: a numerical code for colloid transport in porous media: implementation and validation. American Journal of Environmental Sciences , 5(4), 517-525. <\/span>[link<\/a>]<\/p>\n

Tiraferri, A.; Tosco, T.; Sethi, R., 2011. Transport and retention of microparticles in packed sand columns at low and intermediate ionic strengths: Experiments and mathematical modeling. Environmental Earth Sciences , 63(4), 847-859.<\/span> [link<\/a>]<\/p>\n

Tosco, T.; Bosch, J.; Meckenstock, R.U.; Sethi, R., 2012. Transport of ferrihydrite nanoparticles in saturated porous media: role of ionic strength and flow rate. Environmental Science and Technology, 63 (4), pp. 847-859. <\/span> [link<\/a>]<\/p>\n\n

NON-NEWTONIAN SUSPENSIONS<\/h2>\n

Tosco, T.; Sethi, R., 2010. Transport of non-newtonian suspensions of highly concentrated micro- and nanoscale iron particles in porous media: A modeling approach. Environmental Science and Technology, 44(23), 9062-9068. <\/span>[link<\/a>]<\/p>\n

Hosseini, S.M.; Tosco,T., 2013. Transport and retention of high concentrated nano-Fe\/Cu particles through highly flow-rated packed sand column. Water Research, 47 (1), pp. 326-338. <\/span>[link<\/a>]<\/p>\n

Gastone, F.; Tosco, T; Sethi, R., 2014. Guar gum solutions for improved delivery of iron particles in porous media (Part 1): Porous medium rheology and guar gum-induced clogging. Journal of Contaminant Hydrology, 166, pp. 23-33 <\/span>[link<\/a>]<\/p>\n\n

RADIAL GEOMETRY<\/h2>\n

Tosco, T; Gastone, F.; Sethi, R., 2014. Guar gum solutions for improved delivery of iron particles in porous media (Part 2): Iron transport tests and modeling in radial geometry. Journal of Contaminant Hydrology 166, pp. 34-51<\/span> [link<\/a>]<\/p>\n\n

3D GEOMETRY<\/h2>\n

Bianco, C; Tosco, T.; Sethi, R., 2016. A 3-dimensional micro- and nanoparticle transport and filtration model (MNM3D) applied to the migration of carbon-based nanomaterials in porous media. Journal of Contaminant Hydrology 193, pp. 10-20<\/span> [link<\/a>]<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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MNMs 2021 (Micro-and Nanoparticle transport, filtration and clogging Model – Suite) is a software tool for the simulation of colloid transport in porous media and represents the evolution of MNM1D and E-MNM1D, whose features are here merged into one software. As such, MNMs allows simulations of colloid transport in the […]<\/p>","protected":false},"author":1,"featured_media":0,"parent":399,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"yoast_head":"\nMNMs 2021 - Groundwater Engineering Research Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/areeweb.polito.it\/ricerca\/groundwater\/it\/software\/mnms\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MNMs 2021 - Groundwater Engineering Research Group\" \/>\n<meta property=\"og:description\" content=\"MNMs 2021 (Micro-and Nanoparticle transport, filtration and clogging Model – Suite) is a software tool for the simulation of colloid transport in porous media and represents the evolution of MNM1D and E-MNM1D, whose features are here merged into one software. 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